Relevant bibliographies by topics / All detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'All detection'

Author: Grafiati
Published: 5 June 2025
Last updated: 16 July 2025

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Journal articles on the topic "All detection"

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Zhang, Cuixian. "Direct Conversion X-Ray Detectors with High Sensitivity at Low Dose Rate Based on All-Inorganic Lead-Free Perovskite Wafers." Detection 09, no. 02 (2022): 13–27. http://dx.doi.org/10.4236/detection.2022.92002.

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Hadhrami, Ab. Ghani, Besar Rosli, Md Sani Zamani, et al. "Advances in lane marking detection algorithms for all-weather conditions." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3365–73. https://doi.org/10.11591/ijece.v11i4.pp3365-3373.

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Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. Throughout the review process, it is observed that the lane marking detection algorithms in literature have mostly considered weather conditions such as fog, rain, haze and snow. A new contour-angle method has also been proposed for lane marker detection. Most of the research work focus on lane detection, but the classification of the types of lane markers remains a significant research gap that is worth to be addressed for ADAS and intelligent transport systems
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Ab Ghani, Hadhrami, Rosli Besar, Zamani Md Sani, et al. "Advances in lane marking detection algorithms for all-weather conditions." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3365. http://dx.doi.org/10.11591/ijece.v11i4.pp3365-3373.

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Driving vehicles in all-weather conditions is challenging as the lane markers tend to be unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence increasing the road traffic congestion which causes difficulties in detecting the lane markers especially for advanced driving assistance systems (ADAS). Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. Throughout the review process, it is observed that the lane marking detection algorithms in literature have mostly considered weather conditions such as fog, rain, haze and snow. A new contour-angle method has also been proposed for lane marker detection. Most of the research work focus on lane detection, but the classification of the types of lane markers remains a significant research gap that is worth to be addressed for ADAS and intelligent transport systems.
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Kuo, Ho‐Chang, Chi‐Chun Lo, Yan‐Di Wang, Jheng‐Dao Wu, and Bor‐Shyh Lin. "Spectrogram for childhood asthma detection and analysis." Allergy 74, no. 9 (2019): 1783–86. http://dx.doi.org/10.1111/all.13768.

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Jackson, Anna, Hayden Allen, James H. Hull, et al. "Diagnosing exercise‐induced bronchoconstriction: Over‐or under‐detection?" Allergy 75, no. 2 (2019): 460–63. http://dx.doi.org/10.1111/all.14005.

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Muise, Christian. "Characterizing and Computing All Delete-Relaxed Dead-ends." Inteligencia Artificial 21, no. 62 (2018): 67. http://dx.doi.org/10.4114/intartif.vol21iss62pp67-74.

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Dead-end detection is a key challenge in automated planning, and it is rapidly growing in popularity. Effective dead-end detection techniques can have a large impact on the strength of a planner, and so the effective computation of dead-ends is central to many planning approaches. One of the better understood techniques for detecting dead-ends is to focus on the delete relaxation of a planning problem, where dead-end detection is a polynomial-time operation. In this work, we provide a logical characterization for not just a single dead-end, but for every delete-relaxed dead-end in a planning problem. With a logical representation in hand, one could compile the representation into a form amenable to effective reasoning. We lay the ground-work for this larger vision and provide a preliminary evaluation to this end
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Marnieros, S., L. Dumoulin, A. Benoit, et al. "All electron bolometer for radiation detection." Journal of Physics: Conference Series 150, no. 1 (2009): 012027. http://dx.doi.org/10.1088/1742-6596/150/1/012027.

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Wang, Dibo, Ran Zhuo, Yin Zhang, et al. "An All-Fiber FLRD System for SO2 Detection Based on Graphene-Coated Microfiber." Photonics 10, no. 8 (2023): 863. http://dx.doi.org/10.3390/photonics10080863.

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The accurate and effective detection of SF6 decomposition components inside a gas-insulated switchgear (GIS) is crucial for equipment fault diagnosis and condition assessment. The current method for detecting SF6 decomposition components involves gas extraction at the GIS inlet, which only provides limited information on the decomposition component content. Therefore, there is a need to explore more effective ways to obtain internal gas component information within GIS. In this study, we propose a graphene-coated microfiber gas detection method for SO2. We establish a physical simulation model of the microfiber and analyze the sensing mechanism of the microfiber diameter and cladding refractive index changes in its evanescent field. A graphene-coated microfiber gas sensor was prepared using a drop-coating method, and a fiber loop ring-down (FLRD) gas detection system was constructed for the experimental studies on SO2 gas detection. The results demonstrated that the graphene-coated microfiber exhibits an excellent gas-sensitive response to SO2 and achieves trace-level detection at room temperature. The concentration range of 0 to 200 ppm showed good linearity, with a maximum detection error of 4.76% and a sensitivity of 1.24 ns/ppm for SO2. This study introduces an all-fiber method for detecting SF6 decomposition components, offering a new approach for online monitoring of SF6 decomposition components in GIS equipment using built-in fiber-optic sensors.
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Gruner, Sol M. "Wide dynamic range detection and all that..." Acta Crystallographica Section A Foundations and Advances 75, a1 (2019): a42. http://dx.doi.org/10.1107/s0108767319099574.

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Sharma, Susmeeta T., and Lynnette K. Nieman. "Cushing’s Syndrome: All Variants, Detection, and Treatment." Endocrinology and Metabolism Clinics of North America 40, no. 2 (2011): 379–91. http://dx.doi.org/10.1016/j.ecl.2011.01.006.

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Dissertations / Theses on the topic "All detection"

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Guedes, Magno Edgar da Silva. "Vision based obstacle detection for all-terrain robots." Master's thesis, FCT - UNL, 2009. http://hdl.handle.net/10362/3650.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores<br>This dissertation presents a solution to the problem of obstacle detection in all-terrain environments,with particular interest for mobile robots equipped with a stereo vision sensor. Despite the advantages of vision, over other kind of sensors, such as low cost, light weight and reduced energetic footprint, its usage still presents a series of challenges. These include the difficulty in dealing with the considerable amount of generated data, and the robustness required to manage high levels of noise. Such problems can be diminished by making hard assumptions, like considering that the terrain in front of the robot is planar. Although computation can be considerably saved, such simplifications are not necessarily acceptable in more complex environments, where the terrain may be considerably uneven. This dissertation proposes to extend a well known obstacle detector that relaxes the aforementioned planar terrain assumption, thus rendering it more adequate for unstructured environments. The proposed extensions involve: (1) the introduction of a visual saliency mechanism to focus the detection in regions most likely to contain obstacles; (2) voting filters to diminish sensibility to noise; and (3) the fusion of the detector with a complementary method to create a hybrid solution, and thus, more robust. Experimental results obtained with demanding all-terrain images show that, with the proposed extensions, an increment in terms of robustness and computational efficiency over the original algorithm is observed
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Alves, Nelson Miguel Rosa. "Vision based trail detection for all-terrain robots." Master's thesis, Faculdade de Ciências e Tecnologia, 2010. http://hdl.handle.net/10362/5015.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores<br>Esta dissertação propõe um modelo para detecção de trilhos baseado na observação de que estes são estruturas salientes no campo visual do robô. Devido à complexidade dos ambientes naturais, uma aplicação directa dos modelos tradicionais de saliência visual não é suficientemente robusta para prever a localização dos trilhos. Tal como noutras tarefas de detecção, a robustez pode ser aumentada através da modulação da computação da saliência com conhecimento implícito acerca das características visuais (e.g. cor) que permitem uma melhor representação do objecto a encontrar. Esta dissertação propõe o uso da estrutura global do objecto, sendo esta uma característica mais estável e previsível para o caso de trilhos naturais. Esta nova componente de conhecimento implícito é especificada em termos de regras de percepção activa, que controlam o comportamento de agentes simples que se comportam em conjunto para computar o mapa de saliência da imagem de entrada. Para o propósito de acumulação de informação histórica acerca da localização do trilho é utilizado um campo neuronal dinâmico com compensação de movimento. Resultados experimentais num conjunto de dados vasto revelam a habilidade do modelo de produzir uma taxa de sucesso de 91% a 20Hz. O modelo demonstra ser robusto em situações onde outros detectores falhariam, tal como quando o trilho não emerge da parte de baixo da imagem, ou quando se encontra consideravelmente interrompido.
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Saengudomlert, Poompat 1973. "Analysis and detection of jamming attacks in an all-optical network." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47508.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.<br>Includes bibliographical references (p. 123-124).<br>by Poompat Saengudomlert.<br>M.S.
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POCHET, AXELLE DANY JULIETTE. "MODELING OF GEOBODIES: AI FOR SEISMIC FAULT DETECTION AND ALL-QUADRILATERAL MESH GENERATION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2018. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=35861@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A exploração segura de reservatórios de petróleo necessita uma boa modelagem numérica dos objetos geológicos da sub superfície, que inclui entre outras etapas: interpretação sísmica e geração de malha. Esta tese apresenta um estudo nessas duas áreas. O primeiro estudo é uma contribuição para interpretação de dados sísmicos, que se baseia na detecção automática de falhas sísmicas usando redes neurais profundas. Em particular, usamos Redes Neurais Convolucionais (RNCs) diretamente sobre mapas de amplitude sísmica, com a particularidade de usar dados sintéticos para treinar a rede com o objetivo final de classificar dados reais. Num segundo estudo, propomos um novo algoritmo para geração de malhas bidimensionais de quadrilaterais para estudos geomecânicos, baseado numa abordagem inovadora do método de quadtree: definimos novos padrões de subdivisão para adaptar a malha de maneira eficiente a qualquer geometria de entrada. As malhas obtidas podem ser usadas para simulações com o Método de Elementos Finitos (MEF).<br>Safe oil exploration requires good numerical modeling of the subsurface geobodies, which includes among other steps: seismic interpretation and mesh generation. This thesis presents a study in these two areas. The first study is a contribution to data interpretation, examining the possibilities of automatic seismic fault detection using deep learning methods. In particular, we use Convolutional Neural Networks (CNNs) on seismic amplitude maps, with the particularity to use synthetic data for training with the goal to classify real data. In the second study, we propose a new two-dimensional all-quadrilateral meshing algorithm for geomechanical domains, based on an innovative quadtree approach: we define new subdivision patterns to efficiently adapt the mesh to any input geometry. The resulting mesh is suited for Finite Element Method (FEM) simulations.
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Zhu, Zhe. "Continuous change detection and classification of land cover using all available Landsat data." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12901.

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Thesis (Ph.D.)--Boston University<br>Land cover mapping and monitoring has been widely recognized as important for understanding global change and in particular, human contributions. This research emphasizes the use ofthe time domain for mapping land cover and changes in land cover using satellite images. Unlike most prior methods that compare pairs or sets of images for identifying change, this research compares observations with model predictions. Moreover, instead of classifying satellite images directly, it uses coefficients from time series models as inputs for land cover mapping. The methods developed are capable of detecting many kinds of land cover change as they occur and providing land cover maps for any given time at high temporal frequency. One key processing step of the satellite images is the elimination of "noisy" observations due to clouds, cloud shadows, and snow. I developed a new algorithm called Fmask that processes each Landsat scene individually using an object-based method. For a globally distributed set ofreference data, the overall cloud detection accuracy is 96%. A second step further improves cloud detection by using temporal information. The first application ofthe new methods based on time series analysis found change in forests in an area in Georgia and South Carolina. After the difference between observed and predicted reflectance exceeds a threshold three consecutive times a site is identified as forest disturbance. Accuracy assessment reveals that both the producers and users accuracies are higher than 95% in the spatial domain and approximately 94% in the temporal domain. The second application ofthis new approach extends the algorithm to include identification of a wide variety of land cover changes as well as land cover mapping. In this approach, the entire archive of Landsat imagery is analyzed to produce a comprehensive land cover history ofthe Boston region. The results are accurate for detecting change, with producers accuracy of 98% and users accuracies of 86% in the spatial domain and temporal accuracy of 80%. Overall, this research demonstrates the great potential for use of time series analysis of satellite images to monitor land cover change.
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Parsons, Earl Ryan. "All-Optical Clock Recovery, Photonic Balancing, and Saturated Asymmetric Filtering For Fiber Optic Communication Systems." Diss., The University of Arizona, 2010. http://hdl.handle.net/10150/194287.

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In this dissertation I investigated a multi-channel and multi-bit rate all-optical clock recovery device. This device, a birefringent Fabry-Perot resonator, had previously been demonstrated to simultaneously recover the clock signal from 10 wavelength channels operating at 10 Gb/s and one channel at 40 Gb/s. Similar to clock signals recovered from a conventional Fabry-Perot resonator, the clock signal from the birefringent resonator suffers from a bit pattern effect. I investigated this bit pattern effect for birefringent resonators numerically and experimentally and found that the bit pattern effect is less prominent than for clock signals from a conventional Fabry-Perot resonator.I also demonstrated photonic balancing which is an all-optical alternative to electrical balanced detection for phase shift keyed signals. An RZ-DPSK data signal was demodulated using a delay interferometer. The two logically opposite outputs from the delay interferometer then counter-propagated in a saturated SOA. This process created a differential signal which used all the signal power present in two consecutive symbols. I showed that this scheme could provide an optical alternative to electrical balanced detection by reducing the required OSNR by 3 dB.I also show how this method can provide amplitude regeneration to a signal after modulation format conversion. In this case an RZ-DPSK signal was converted to an amplitude modulation signal by the delay interferometer. The resulting amplitude modulated signal is degraded by both the amplitude noise and the phase noise of the original signal. The two logically opposite outputs from the delay interferometer again counter-propagated in a saturated SOA. Through limiting amplification and noise modulation this scheme provided amplitude regeneration and improved the Q-factor of the demodulated signal by 3.5 dB.Finally I investigated how SPM provided by the SOA can provide a method to reduce the in-band noise of a communication signal. The marks, which represented data, experienced a spectral shift due to SPM while the spaces, which consisted of noise, did not. A bandpass filter placed after the SOA then selected the signal and filtered out what was originally in-band noise. The receiver sensitivity was improved by 3 dB.
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Shams, Zalia. "Automated Assessment of Student-written Tests Based on Defect-detection Capability." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/52024.

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Software testing is important, but judging whether a set of software tests is effective is difficult. This problem also appears in the classroom as educators more frequently include software testing activities in programming assignments. The most common measures used to assess student-written software tests are coverage criteria—tracking how much of the student’s code (in terms of statements, or branches) is exercised by the corresponding tests. However, coverage criteria have limitations and sometimes overestimate the true quality of the tests. This dissertation investigates alternative measures of test quality based on how many defects the tests can detect either from code written by other students—all-pairs execution—or from artificially injected changes—mutation analysis. We also investigate a new potential measure called checked code coverage that calculates coverage from the dynamic backward slices of test oracles, i.e. all statements that contribute to the checked result of any test. Adoption of these alternative approaches in automated classroom grading systems require overcoming a number of technical challenges. This research addresses these challenges and experimentally compares different methods in terms of how well they predict defect-detection capabilities of student-written tests when run against over 36,500 known, authentic, human-written errors. For data collection, we use CS2 assignments and evaluate students’ tests with 10 different measures—all-pairs execution, mutation testing with four different sets of mutation operators, checked code coverage, and four coverage criteria. Experimental results encompassing 1,971,073 test runs show that all-pairs execution is the most accurate predictor of the underlying defect-detection capability of a test suite. The second best predictor is mutation analysis with the statement deletion operator. Further, no strong correlation was found between defect-detection capability and coverage measures.<br>Ph. D.
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Loren, Eric Justin. "All optical injection and detection of ballistic charge and spin currents in gallium arsinide, germanium, and silicon." Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/2742.

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Charge transport and spin transport (spintronics) over nanometer spatial scales are topics of fundamental scientific and technological interest. If the potential of nano-devices and spintronics is to be realized, ways must be developed to inject and control ballistic charge and spin currents, as well as to measure their motion. Here, using novel polarization and phase sensitive optical pump probe techniques, we not only inject ballistic charge and spin currents in GaAs, Ge, and Si but also follow the subsequent carrier motion with < 1 nm spatial and 200 fs temporal resolution. Unlike most free space measurements, the spatial resolution of these techniques is not limited by diffraction, and therefore these techniques provide a unique platform for studying ballistic transport in semiconductors and semiconductor structures. The injection process relies on quantum interference between absorption pathways associated with two-photon absorption of a fundamental optical field and one-photon absorption of the corresponding second harmonic. By utilizing the phase, polarization, photon energy, and intensity of the optical fields we can control the type of current injection (spin current or charge current) and the direction and magnitude. In GaAs we present the first time resolved measurements of charge and spin currents injected by this process and also show the ballistic direct and inverse Spin Hall Effect. These techniques are extended to the more technologically relevant group IV semiconductors Si and Ge. The charge currents injected in these materials show similar qualitative behavior. The electrons and holes are injected with oppositely directed average ballistic velocities that move apart and return to a common position on sub-picosecond time scales. The spin currents however, are very different. The spin up and spin down carrier profiles move apart and remain apart until their spin profiles decay. In GaAs the profile decay on picosecond time scales however, in Ge they decay on femtosecond time scales since the electrons quickly scatter to the side valleys. Unlike GaAs and Ge, the spin orbit coupling in Si is much too small to produce measurable spin currents.
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Reyes, Gomez Juan Pablo. "Astronomical image processing from large all-sky photometric surveys for the detection and measurement of type Ia supernovae." Thesis, Aix-Marseille, 2019. http://www.theses.fr/2019AIXM0144.

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Cette thèse présente plusieurs contributions au software developé pour le traitement d’images dans le cadre du LSST. Notre objectif est d'utiliser le code et les algorithmes LSST existants, afin de créer un pipeline dédié à la détection des supernovae de type Ia. Pour la détection des supernovae nous utilisons une technique appelée soustraction optimale d'images qui implique la construction de coadditions. Nous étudions aussi le comportement des différents objets dans le temps et construisons des courbes de lumière qui représentent leur cycle de vie en fonction de l'intensité lumineuse de chaque détection sur plusieurs nuits. Enfin, pour analyser un nombre excessif de candidats, nous utilisons des algorithmes d'apprentissage machine.Notre première contribution concerne le développement des taches de coaddition automatisée adaptées pour construire des images de référence et de science avec un haut rapport signal-sur-bruit. La contribution suivante est lié à l’addition de mesures et l’étude de résidus des images d’analyse de différence, y-compris la sélection des seuils adaptés et l'étiquetage basée sur les valeurs quantitativess des résidus pour identifier les mauvaises détections, les artéfacts et les flux réellement significatifs. Notre suivante contribution est un algorithme pour sélectionner et générer les courbes de lumière candidates. Finalement, on applique une classification machine learning pour trouver des type Ia supernovae en utilisant la méthode random forest. Ces résultats ont permis l’identification des supernovae de type Ia simulées et réelles parmis les candidats avec une haute précision<br>This thesis will present several contributions to the software developed for the LSST telescope with the purpose of contributing to the detection of type Ia supernovae. Our objective is to use the existing LSST code and algorithms, in order to create a type Ia supernovae detection dedicated pipeline.Since detecting supernovae requires a special type of processing, we use a technique known as the Optimal Image Subtraction which implies the construction of coadditions. Afterwards, we study the behavior of the different objects through time and build light curves that represent their life cycle in terms of the light intensity of each detection on several nights. Lastly, in order to analyze an excessive number of candidates, we employ machine learning algorithms to identify what curves are more probable to be type Ia supernovae. Our first contribution concerns the development of adapted and automatized coaddition tasks for building high signal-to-noise reference and science images. The next contribution is related to the addition of measurements and study of the residuals on difference image analysis, including the selection with adapted thresholding and the assignation of labels. We also propose, as contributions, an algorithm to select and generate the different candidate light curves through the selection of objects with recurrent detections through time and in the different bandpasses. Finally, we apply the machine learning classification approach to find type Ia supernovae by means of using a random forest classifier and based strictly on geometrical features that are present in the light curves
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Wißmeyer, Georg [Verfasser], Vasilis [Akademischer Betreuer] Ntziachristos, Vasilis [Gutachter] Ntziachristos, Axel [Gutachter] Haase, and Christian [Gutachter] Jirauschek. "All-optical Ultrasound Detection for Optoacoustic Imaging / Georg Wißmeyer ; Gutachter: Vasilis Ntziachristos, Axel Haase, Christian Jirauschek ; Betreuer: Vasilis Ntziachristos." München : Universitätsbibliothek der TU München, 2019. http://d-nb.info/1205462961/34.

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Books on the topic "All detection"

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International, Strategic Directions, ed. Mass spectrometers: The mother of all detection technologies. Strategic Design International, 1991.

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Julian, Chomet, ed. Cervical cancer: All you and your partner need to know about its prevention, detection and treatment. Grapevine, 1989.

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Rochelle, Kronzek, ed. All-time favorite detective stories. Dover Publications, 2010.

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Rochelle, Kronzek, ed. All-time favorite detective stories. Dover Publications, 2010.

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Ricorda, Ricciarda, and Alberto Zava. La detection della critica. Fondazione Università Ca’ Foscari, 2020. http://dx.doi.org/10.30687/978-88-6969-455-4.

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I colleghi cafoscarini e gli allievi fanno omaggio a Ilaria Crotti, in occasione della sua quiescenza, di una raccolta di saggi intesa a seguire le numerose e variegate prospettive critiche e teoriche percorse dalla festeggiata che, sin dal volume del 1982 dedicato al genere poliziesco – cui qui ci si richiama nel titolo –, si era ritagliata un profilo di incisiva e raffinata detective della scena letteraria. Tra i contributi spuntano i nomi dei ‘soliti sospetti’: Buzzati, Goldoni e il panorama settecentesco, d’Annunzio, Pirandello, la letteratura di viaggio e i suoi itinerari, le dinamiche della scrittura femminile del Novecento e oltre… Il volume vuole rappresentare una prova tangibile della pluridecennale attività accademica di ricerca e di didattica della studiosa e rendere omaggio alla sua costruttiva presenza e al suo impegno costante nella vita dell’Ateneo.
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Delbow, Mike. Cheating Spouses: A Nationally Known Lie Detection Expert Tells All. Independently Published, 2019.

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Its All About Treo. Quercus Publishing Plc, 2013.

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The Verdict of Us All: Stories by the Detection Club for H.R.F. Keating. Crippen & Landru Publishers, 2006.

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The Verdict of Us All; Stories by the Detection Club for H.R.F. Keating. Crippen & Landru Publishers, 2006.

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Arce, Michael. Laboratory Testing for Microbial Detection. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199976805.003.0001.

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The approach to microbial detection in patients who present to acute settings should be focused and should aim to result in clinically significant findings while minimizing the chances of a missed diagnosis or missed complications related to a patient’s existing disease burden. Judicious selection of laboratory tests, efficient sample collection, and laboratory reporting are all important considerations. This chapter provides general guidelines for the initial evaluation of potential microbial infections in patients presenting to the Emergency Department (ED). In some cases, the diagnosis will remain uncertain during the patient’s stay, but diagnostic testing initiated in the ED may be beneficial for the inpatient or outpatient team and the future care of the patient.
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Book chapters on the topic "All detection"

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Tian, Jiandong. "Shadow Modeling and Detection." In All Weather Robot Vision. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-6429-8_4.

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Barik, Puspendu, and Manik Pradhan. "All-Optical Detection of Biocompatible Quantum Dots." In Application of Quantum Dots in Biology and Medicine. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3144-4_3.

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Deane, Miriam, and A. Victor Hoffbrand. "Detection of minimal residual disease in ALL." In Leukemia: Advances in Research and Treatment. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3086-2_8.

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Han, Woo-Sup, and Il-Song Han. "All Weather Human Detection Using Neuromorphic Visual Processing." In Intelligent Systems for Science and Information. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04702-7_2.

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Singh, Surinder, and Meenakshi Garg. "Contention Detection and Minimization in All Optical Routers." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29280-4_50.

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Apostolico, Alberto, Dany Breslauer, and Zvi Galil. "Parallel detection of all palindromes in a string." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57785-8_166.

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Minty, Michiko G., and Frank Zimmermann. "Correction to: Measurement and Control of Charged Particle Beams." In Particle Acceleration and Detection. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-08581-3_13.

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Zhang, Xingguo, Guoyue Chen, Kazuki Saruta, and Yuki Terata. "Deep Convolutional Neural Networks for All-Day Pedestrian Detection." In Information Science and Applications 2017. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4154-9_21.

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Li, Yunsheng, Yinpeng Chen, Xiyang Dai, et al. "Should All Proposals Be Treated Equally in Object Detection?" In Lecture Notes in Computer Science. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19806-9_32.

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Weber-Wulff, Debora. "Why does plagiarism detection software not find all plagiarism?" In Student Plagiarism in Higher Education. Routledge, 2018. http://dx.doi.org/10.4324/9781315166148-5.

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Conference papers on the topic "All detection"

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Zhang, Yue-Yi, Yi-Bing Xiao, Feng-Yuan Han, and Chao-Hai Du. "Terahertz Edge Detection Based on All-Dielectric Metasurfaces." In 2024 Cross Strait Radio Science and Wireless Technology Conference (CSRSWTC). IEEE, 2024. https://doi.org/10.1109/csrswtc64338.2024.10811574.

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Miyake, Haruyuki, Kazuki Yoshizawa, Henrik Tünnermann, and Akira Shirakawa. "All Optical Detection of Phase Differences in Divided Pulse Amplification." In Advanced Solid State Lasers. Optica Publishing Group, 2024. https://doi.org/10.1364/assl.2024.jw2a.40.

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Using second harmonic generation to detect phase differences between divided pulses in divided pulse amplification with 4 or more division is proposed. Modulation-free, all optical phase detection was experimentally demonstrated in 4 division.
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Babokin, Mikhail I., Pavel E. Shimkin, and Vitaliy G. Stepin. "Estimation of Short-term Earth's Surface Changes Detection Using Differential Interferometric SAR." In 2024 IEEE 9th All-Russian Microwave Conference (RMC). IEEE, 2024. https://doi.org/10.1109/rmc62880.2024.10846870.

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Vaks, Vladimir, Olga Gromova, Elena Domracheva, Yurii Kistenev, Elena Bekhtereva, and Mariya Chernyaeva. "Application of THz Spectroscopy Methods for Detection of Superecotoxicants and Ecological Monitoring." In 2024 IEEE 9th All-Russian Microwave Conference (RMC). IEEE, 2024. https://doi.org/10.1109/rmc62880.2024.10846897.

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Emelyanov, Bulat, and Vasily Ryzhov. "Detection of Microseismic Events in Near-Wellbore Space by MLE Method for DAS Data." In 2024 IEEE 9th All-Russian Microwave Conference (RMC). IEEE, 2024. https://doi.org/10.1109/rmc62880.2024.10846834.

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Gao, Yuan, Luo Qi, Hong-Lin Lin, et al. "All-to-All Connected Photonic Ising Machine with Arbitrary Spin Number Based on Mach-Zehnder Interferometers." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.jw2a.166.

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We experimentally realized a photonic Ising machine with arbitrary spin number and all-to-all connection using Mach-Zehnder interferometry and specially designed phase detection region, serving as a general combinatorial optimization problem solver.
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Sakhterov, Vladimir Ivanovich, Aleksandr Anatolevich Averin, Vladimir Viktorovich Varenkov, Dmitri Sergeevich Gorkin, and Dmitri Andreevich Smirnov. "Application of Ground Penetrating Radar with Controlled Antenna Pattern for Detection of Low-Contrast Objects." In 2024 IEEE 9th All-Russian Microwave Conference (RMC). IEEE, 2024. https://doi.org/10.1109/rmc62880.2024.10845903.

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Ulyanov, N. A., S. V. Yaskevich, and P. A. Dergach. "DETECTION OF RECORDS OF WEAK LOCAL EARTHQUAKES USING MACHINE LEARNING." In All-Russian Youth Scientific Conference with the Participation of Foreign Scientists Trofimuk Readings - 2021. Novosibirsk State University, 2021. http://dx.doi.org/10.25205/978-5-4437-1251-2-76-78.

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In this paper, a detection method is proposed that is able to outperform deterministic methods in detecting events on seismograms, successfully detecting the same or more events with fewer false detections.
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Harrington, Kerrianne, Stephanos Yerolatsitis, and Tim A. Birks. "All-fibre wavefront sensor (Conference Presentation)." In Optical Sensing and Detection, edited by Francis Berghmans and Anna G. Mignani. SPIE, 2018. http://dx.doi.org/10.1117/12.2306458.

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Gou, Wanxiang, Chonghui Li, Zhixing Chen, Shuai Tong, Yong Zheng, and Yuan Yang. "All-day astronomical measurement system daytime star point extraction method." In Imaging Detection and Target Recognition, edited by Jiangtao Xu and Chao Zuo. SPIE, 2024. http://dx.doi.org/10.1117/12.3015278.

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Reports on the topic "All detection"

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Appelbaum, Ian R. All Electrical Spin Detection in III-V Semiconductors. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada462737.

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Deininger. PR-443-13605-R01 Sensors for Gas Quality Monitoring. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010127.

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The purpose of this project was to determine the suitability of low cost environmental air quality sensors, for detection of pipeline gas quality. In particular, this project examined options for detection and quantification of hydrogen sulfide (H2S), water (H2O), and oxygen (O2). All of the sensors used were based on Synkeras existing anodic aluminum oxide (AAO) platform and detection chemistry. The key challenge of this effort was laboratory based demonstration of the feasibility of detecting these three components in natural gas at pressures exceeding 1 atmosphere
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Iseley, D. T., and D. H. Cowling. L51697 Obstacle Detection to Facilitate Horizontal Directional Drilling. Pipeline Research Council International, Inc. (PRCI), 1994. http://dx.doi.org/10.55274/r0010134.

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The horizontal directional drilling (HDD) technique is specially suited for pipeline crossings of waterways, beaches, roads, vulnerable natural regions, railroads and airports. The HDD method is a two-stage process consisting of navigating a drill stem underground along a predetermined design route and the pulling back of the product pipe through the prepared hole. One of the major problems faced in HDD projects is subsurface exploration and locating of existing underground obstacles. HDD equipment must avoid these obstacles if at all possible. This study was conducted to: 1. Determine the state-of-the-art for obstacle detection in horizontal directional drilling technology. 2. Examine all possible techniques for obstacle detection. 3. Evaluate the most promising and suitable techniques for further development. 4. Determine further work necessary to reach a 100-foot (30 m) target. 5. Make recommendations for HDD contractors.
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Chailapakul, Orawon. Novelty in Analytical Chemistry for Innovation of Detection. Chulalongkorn University, 2017. https://doi.org/10.58837/chula.res.2017.19.

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Analytical chemistry is the one of the most importance not only to all branches of chemistry but also to all the biological sciences, to engineering, and, more recently, medicine, public health, food, environment and the supply of energy in all forms. Therefore, the developments of novel detection methods play an important role to obtain both qualitative analysis and quantification of the chemical or biomolecule components of natural and artificial materials. This work has been separated into 3 groups for finishing the novelty in detection methods. First, novel nanomaterials-based or nanocomposite chemical sensors based on nanomaterial/conducting polymer will be prepared and used to modify the electrode surface for sensitive electrochemical and/or optical detection of chemicals and biomolecules. The bioreceptor functionalization will be applied if it is necessary. Under the optimal conditions, the proposed system will be used for sensitive detection of target analytes (e.g. heavy metals, pesticides, food contaminants and biomolecules). This approach is an alternative tool for environmental monitoring, food inspection as well as clinical diagnosis. Second, the paper-based device is proposed. They have the potential to be good alternatives for point-of-care testing because they are portable, easy to use, require only a small volume of sample and provide rapid analysis. To create the detection method for lab-on-paper, colorimetric and electrochemical detection are proposed. These provide the benefits of simplicity, speed, low cost, and portability for applying to various applications. Last, a simple microfluidic or sequential injection system for chemical or biomedical analysis will be developed. Exploiting a microfluidic or sequential injection system, short analysis times can be achieved with high analytical performances, in addition, only small amount of samples and reagents are required, which is beneficial for samples which are expensive or limited, especially biological samples. Moreover, microfluidic or sequential injection analysis holds great promise for high-throughput analysis and screening, which offers an alternative platform for analysis and would be an ideal tool for a portable analysis system for clinical diagnosis.
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Tao, Yang, Victor Alchanatis, and Yud-Ren Chen. X-ray and stereo imaging method for sensitive detection of bone fragments and hazardous materials in de-boned poultry fillets. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695872.bard.

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As Americans become increasingly health conscious, they have increased their consumptionof boneless white and skinless poultry meat. To the poultry industry, accurate detection of bonefragments and other hazards in de-boned poultry meat is important to ensure food quality andsafety for consumers. X-ray imaging is widely used for internal material inspection. However,traditional x-ray technology has limited success with high false-detection errors mainly becauseof its inability to consistently recognize bone fragments in meat of uneven thickness. Today’srapid grow-out practices yield chicken bones that are less calcified. Bone fragments under x-rayshave low contrast from meat. In addition, the x-ray energy reaching the image detector varieswith the uneven meat thickness. Differences in x-ray absorption due to the unevenness inevitablyproduce false patterns in x-ray images and make it hard to distinguish between hazardousinclusions and normal meat patterns even by human visual inspection from the images.Consequently, the false patterns become camouflage under x-ray absorptions of variant meatthickness in physics, which remains a major limitation to detecting hazardous materials byprocessing x-ray images alone.Under the support of BARD, USDA, and US Poultry industries, we have aimed todeveloping a new technology that uses combined x-ray and laser imaging to detect bonefragments in de-boned poultry. The technique employs the synergism of sensors of differentprinciples and has overcome the deficiency of x-rays in physics of letting x-rays work alone inbone fragment detection. X-rays in conjunction of laser-based imaging was used to eliminatefalse patterns and provide higher sensitivity and accuracy to detect hazardous objects in the meatfor poultry processing lines.Through intensive research, we have met all the objectives we proposed during the researchperiod. Comprehensive experiments have proved the concept and demonstrated that the methodhas been capable of detecting frequent hard-to-detect bone fragments including fan bones andfractured rib and pulley bone pieces (but not cartilage yet) regardless of their locations anduneven meat thickness without being affected by skin, fat, and blood clots or blood vines.
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Holmgren, Amanda, Robert Wilkerson, Rodney Siegel, and Jason Ransom. North Coast and Cascades Network landbird monitoring: Report for the 2022 field season. National Park Service, 2023. http://dx.doi.org/10.36967/2301415.

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The North Coast and Cascades Network (NCCN) continued to implement the Network?s Landbird Monitoring Protocol in 2022, in partnership with The Institute for Bird Populations. The protocol was initially field-tested with data collected from the annual panel only, as part of protocol development during 2005?2006, and has subsequently been implemented fully (including data collection on the annual panel as well as five alternating panels) for the past 15 years (2007?2021), except for 2017 when data collection was temporarily suspended to reallocate resources for a 5-year data synthesis. In 2022, we conducted 1,189 point counts at point count survey stations along 68 transects in the large wilderness parks of the NCCN, including Mount Rainier National Park (MORA), North Cascades National Park Complex (NOCA), and Olympic National Park (OLYM). We also conducted 72 point counts at Lewis and Clark National Historical Park (LEWI), including 36 at Cape Disappointment, 28 at Fort Clatsop, 5 at Sunset Beach, and 3 at Yeon. Across the three large parks, we documented the presence of 130 species and one hybrid, 105 of which were detected during point counts. For 57 species (all species for which we amassed at least 96 point count detections over the period 2005?2022), we present the total number of detections of each species on each park?s annual panel transects during the 2005?2022 field seasons. We caution, however, that these detection totals have not been adjusted for differences in survey effort, observer effects, or potential differences in detectability of birds between years; such adjustments will be made in conjunction with trend analyses in a future multi-year report. The number of bird detections on annual-panel transects across all three large parks decreased by 650 between 2021 and 2022, though the magnitude of change varied among the parks. At both MORA and OLYM detections decreased between 2021 and 2022. When factoring in the number of point counts conducted each year, both parks saw a decrease in the average number of birds per count (a decrease of 9% at MORA and 24% at OLYM). At NOCA there was very little change in the number of detections between 2021 and 2022. A measurable part of the overall decrease in detections across the Network in 2022 was due to a high number of red crossbill detections in 2021, particularly at MORA and OLYM. We detected them in higher numbers in both of these parks than in any of the previous 15 years, but in 2022 our detections dropped to numbers more similar to previous years. Several other species were also detected in slightly lower numbers in the three large parks in 2022 than in 2021, which contributed to the overall decrease in detections. Golden-crowned kinglet and Pacific wren detections in particular decreased across all three parks between 2021 and 2022. Despite these slight changes, overall detection numbers of most species across the parks were not markedly different between the two years. Interpretation of these results will be completed as part of the next multi-year trend analysis, which will account for annual variation in survey effort, observer effects, and detection probability.
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Maitongngam, Kritpisut, Varakorn Kosaisavee, and Mathuros Tipayamongkholgul. Antigen detection methods of Opisthorchis viverrini in human: Systematic review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0123.

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Review question / Objective: Research question - Among all of the available antigen methods for Opisthorchis viverrini in human, which one is the most accurate result. Objectives - General objective. To meta-analyze the accuracy of Opisthorchis viverrini antigen detection methods in human. Specific objectives -To compare the overall detection accuracy of Opisthorchis viverrini antigen in humans among FECT and other antigen detection methods -To systematically review Opisthorchis viverrini antigen methods in human -To investigate the effect of bias on the Opisthorchis viverrini antigen detection results in terms of participant selection, index test, reference standard, and flow and timing -To investigate the heterogeneity of the Opisthorchis viverrini antigen detection methods in human. Eligibility criteria: Inclusion criteria 1.1 Research articles related to antigen detection method of Opisthorchis viverrini in humans. 1.2 Research articles in the databases between 2000 - 2021. 2. Exclusion criteriaResearch articles which do not use Formalin Ethyl acetate Concentration Technique (FECT) as the reference standard.
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McHugh, Power, and Randell. L51972 Encroachment Monitoring via Earth Observation Data. Pipeline Research Council International, Inc. (PRCI), 2001. http://dx.doi.org/10.55274/r0011240.

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The objective of the pipeline encroachment monitoring project was to demonstrate the feasibility of using Earth observation (EO) satellites for early detection of third-party encroachment activities. Examples of encroachment activities include road construction, cable laying, farming, and residential or commercial development. Optical and synthetic aperture radar (SAR) images taken from space-borne platforms were evaluated for use in detecting encroachment activities. C-CORE and TransCanada Pipelines Ltd. conducted an encroachment field program near Whitecourt, Alberta. Various encroachment activities, principally involving heavy equipment, were staged and concurrent satellite-based optical (IKONOS) and SAR (RADARSAT) images acquired. These images were then analyzed for signatures of the encroachment events. A total of 22 multispectral and panchromatic IKONOS images and 14 RADARSAT SAR images were acquired. The IKONOS satellite proved to be effective in detecting smaller vehicles (for example, small trucks or Bobcat tractors) in areas that are free from cloud cover. RADARSAT proved effective in the detection of larger vehicles (for example, excavators or dump trucks), linear excavation, deforestation, and the provision of reliable coverage in all weather conditions.
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Chien, Stanley, Yaobin Chen, Lauren Christopher, Mei Qiu, and Zhengming Ding. Road Condition Detection and Classification from Existing CCTV Feed. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317364.

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The Indiana Department of Transportation (INDOT) has approximately 500 digital cameras along highways in populated areas of Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the videos from these cameras are observed one-by-one by human operators looking for traffic conditions and incidents. The main objective of this research was to develop an automatic, real-time system to monitor traffic conditions and detect incidents automatically. The Transportation and Autonomous Systems Institute (TASI) of the Purdue School of Engineering and Technology at Indiana University-Purdue University Indianapolis (IUPUI) and the Traffic Management Center of INDOT developed a system that monitors the traffic conditions based on the INDOT CCTV video feeds. The proposed system performs traffic flow estimation, incident detection, and classification of vehicles involved in an incident. The research team designed the system, including the hardware and software components added to the existing INDOT CCTV system; the relationship between the added system and the currently existing INDOT system; the database structure for traffic data extracted from the videos; and a user-friendly, web-based server for showing the incident locations automatically. The specific work in this project includes vehicle-detection, road boundary detection, lane detection, vehicle count over time, flow-rate detection, traffic condition detection, database development, web-based graphical user interface (GUI), and a hardware specification study. The preliminary prototype of some system components has been implemented in the Development of Automated Incident Detection System Using Existing ATMS CCT (SPR-4305).
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Kumar. L52002 Man-Portable Magnetic Gradiometer for Buried Pipe Detection and Location. Pipeline Research Council International, Inc. (PRCI), 2000. http://dx.doi.org/10.55274/r0011154.

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The detection and location of buried underground or submerged underwater pipes is of importance to the utility, natural gas, and petroleum industries. Current detection and location methods include ground penetrating radar (GPR), ground conductivity measurements, and magnetometers. GPR presents numerous problems, including signal attenuation in the ground and the presence of ground clutter. Ground conductivity measurements require that electrodes be planted in the ground and results may be affected by ground conditions. Magnetometers can detect ferrous pipes, or pipes with ferrous taggants, since ferrous material will distort the earth�s magnetic field. In addition magnetometers can detect buried conductors by measuring the magnetic field generated by the current in the conductor. However, presently used magnetometers cannot provide information about the exact location and depth of the pipe or conductor since they do not measure all the independent components of the magnetic field gradient at a given spatial location above ground.
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