Relevant bibliographies by topics / Detection

Contents

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

Academic literature on the topic 'Detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Detection"

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Qian, Sen. "What Is Detection?" Detection 02, no. 02 (2014): 7–9. http://dx.doi.org/10.4236/detection.2014.22002.

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Sugiura, Hiroki, Shinichi Demura, Yoshinori Nagasawa, et al. "Relationship between Extent of Coffee Intake and Recognition of Its Effects and Ingredients." Detection 01, no. 01 (2013): 1–6. http://dx.doi.org/10.4236/detection.2013.11001.

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Brandão, Marcelo Luiz Lima, Carla de Oliveira Rosas, Silvia Maria Lopes Bricio, et al. "Preparation of Reference Material for Proficiency Test for Enumeration of Coliforms in Cheese Matrix." Detection 01, no. 01 (2013): 7–12. http://dx.doi.org/10.4236/detection.2013.11002.

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Zhang, Jianyong, Xiao Cai, and Xiaohu Mo. "On Two Cryogenic Systems of High Purity Germanium Detector." Detection 01, no. 02 (2013): 13–20. http://dx.doi.org/10.4236/detection.2013.12003.

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Chuto, Maneenuch, Sudkate Chaiyo, Weena Siangproh, and Orawon Chailapakul. "A Rapid Separation and Highly Determination of Paraben Species by Ultra-Performance Liquid Chromatography —Electrochemical Detection." Detection 01, no. 02 (2013): 21–29. http://dx.doi.org/10.4236/detection.2013.12004.

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Cardone, Fabio, Giovanni Cherubini, Walter Perconti, Andrea Petrucci, and Alberto Rosada. "Neutron Imaging by Boric Acid." Detection 01, no. 02 (2013): 30–35. http://dx.doi.org/10.4236/detection.2013.12005.

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Weng, Binbin, Jijun Qiu, Lihua Zhao, Caleb Chang та Zhisheng Shi. "Theoretical D* Optimization of N+-p Pb<sub>1-x</sub>Sn<sub>x</sub>Se Long-Wavelength (8 - 11 μm) Photovoltaic Detector at 77 K". Detection 02, № 01 (2014): 1–6. http://dx.doi.org/10.4236/detection.2014.21001.

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Żak, Dariusz, Jarosław Jureńczyk, and Janusz Kaniewski. "Zener Phenomena in InGaAs/InAlAs/InP Avalanche Photodiodes." Detection 02, no. 02 (2014): 10–15. http://dx.doi.org/10.4236/detection.2014.22003.

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Wu, Jun, Hao Fu, and Xiashi Zhu. "Separation/Analysis Rhodamine B by Anion Surfactant/Ionic Liquid Aqueous Two-Phase Systems Coupled with Ultraviolet Spectrometry." Detection 02, no. 03 (2014): 17–25. http://dx.doi.org/10.4236/detection.2014.23004.

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Saleh, Tawfik A. "Detection: From Electrochemistry to Spectroscopy with Chromatographic Techniques, Recent Trends with Nanotechnology." Detection 02, no. 04 (2014): 27–32. http://dx.doi.org/10.4236/detection.2014.24005.

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Dissertations / Theses on the topic "Detection"

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Kapoor, Prince. "Shoulder Keypoint-Detection from Object Detection." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38015.

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This thesis presents detailed observation of different Convolutional Neural Network (CNN) architecture which had assisted Computer Vision researchers to achieve state-of-the-art performance on classification, detection, segmentation and much more to name image analysis challenges. Due to the advent of deep learning, CNN had been used in almost all the computer vision applications and that is why there is utter need to understand the miniature details of these feature extractors and find out their pros and cons of each feature extractor meticulously. In order to perform our experimentatio
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Laxhammar, Rikard. "Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications." Doctoral thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-8762.

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Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. Nevertheless, some objects are engaged in dangerous, illegal or otherwise interesting activities, which may manifest themselves as unusual and abnormal trajectories. These anomalous trajectories can be difficult to detect by human operators due to cognitive limitations. In this thesis, we study algorithms for the automated detection of
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Albrektsson, Fredrik. "Detecting Sockpuppets in Social Media with Plagiarism Detection Algorithms." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208553.

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As new forms of propaganda and information control spread across the internet, the need for novel ways of identifying them increases as well. One increasingly popular method of spreading false messages on microblogs like Twitter is to disseminate them from seemingly ordinary, but centrally controlled and coordinated user accounts – sockpuppets. In this paper we examine a number of potential methods for identifying these by way of applying plagiarism detection algorithms for text, and evaluate their performance against this type of threat. We identify one type of algorithm in particular – that
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Le, Anhtuan. "Intrusion Detection System for detecting internal threats in 6LoWPAN." Thesis, Middlesex University, 2017. http://eprints.mdx.ac.uk/21958/.

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6LoWPAN (IPv6 over Low-power Wireless Personal Area Network) is a standard developed by the Internet Engineering Task Force group to enable the Wireless Sensor Networks to connect to the IPv6 Internet. This standard is rapidly gaining popularity for its applicability, ranging extensively from health care to environmental monitoring. Security is one of the most crucial issues that need to be considered properly in 6LoWPAN. Common 6LoWPAN security threats can come from external or internal attackers. Cryptographic techniques are helpful in protecting the external attackers from illegally joining
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Olsson, Jonathan. "Detecting Faulty Piles of Wood using Anomaly Detection Techniques." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-83061.

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The forestry and the sawmill industry have a lot of incoming and outgoing piles of wood. It's important to maintain quality and efficiency. This motivates an examination of whether machine learning- or more specifically, anomaly detection techniques can be implemented and used to detect faulty shipments. This thesis presents and evaluates some computer vision techniques and some deep learning techniques. Deep learning can be divided into groups; supervised, semi-supervised and unsupervised. In this thesis, all three groups were examined and it covers supervised methods such as Convolutional Ne
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Prevot, Yohan. "Arterial perfusion detection method by synchronous detection." [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001385.

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Chau, Sam. "Investigation of silicon PIN-detector for laser pulse detection." Thesis, Linköping University, Department of Science and Technology, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-325.

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<p>This report has been written at SAAB Bofors Dynamics (SBD) AB in Gothenburg at the department of optronic systems.</p><p>In military observation operations, a target to hit is chosen by illumination of a laser designator. From the targetpoint laser radiation is reflected on a detector that helps identify the target. The detector is a semiconductor PIN-type that has been investigated in a laboratory environment together with a specially designed laser source. The detector is a photodiode and using purchased components, circuits for both the photodiode and the laserdiode has been designed and
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Chang, Pi-Jung. "Double Chooz neutrino detector: neutron detection systematic errors and detector seasonal stability." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/16861.

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Doctor of Philosophy<br>Department of Physics<br>Glenn Horton-Smith<br>In March 2012, the Double Chooz reactor neutrino experiment published its most precise result so far: sin[superscript]2 2theta13 = 0.109 +/- 0.030(stat.) +/- 0.025(syst.). The statistical significance is 99.8% away from the no-oscillation hypothesis. The systematic uncertainties from background and detection efficiency are smaller than the first publication of the Double Chooz experiment. The neutron detection efficiency, one of the biggest contributions in detection systematic uncertainties, is a primary topic of this diss
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Wang, Jinghui. "Evaluation of GaN as a Radiation Detection Material." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1343316898.

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Frascarelli, Antonio Ezio. "Object Detection." Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-28259.

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During the last two decades the interest about computer vision raised steadily with multiple applications in fields like medical care, automotive, entertainment, retail, industrial, and security. Objectdetection is part of the recognition problem, which is the most important scope of the computervision environment.The target of this thesis work is to analyse and propose a solution for object detection in a real timedynamic environment. RoboCup@Home will be the benchmarking event for this system, which willbe equipped on a robot competing in the 2018 event. The system has to be robust and fast
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Books on the topic "Detection"

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G, Greene Douglas, ed. Detection by Gaslight: 14 Victorian Detective Stories. Dover Publications, 1997.

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Lee, Wenke, Cliff Wang, and David Dagon, eds. Botnet Detection. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-68768-1.

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Chugg, Keith M., Achilleas Anastasopoulos, and Xiaopeng Chen. Iterative Detection. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6.

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Verschuere, Bruno, Gershon Ben-Shakhar, and Ewout Meijer, eds. Memory Detection. Cambridge University Press, 2009. http://dx.doi.org/10.1017/cbo9780511975196.

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Christodorescu, Mihai, Somesh Jha, Douglas Maughan, Dawn Song, and Cliff Wang, eds. Malware Detection. Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-44599-1.

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Capineri, Lorenzo, and Eyüp Kuntay Turmuş, eds. Explosives Detection. Springer Netherlands, 2019. http://dx.doi.org/10.1007/978-94-024-1729-6.

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Sengupta, Nandita, and Jaya Sil. Intrusion Detection. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2716-6.

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Gaspar, Imre, ed. RNA Detection. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7213-5.

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Lane, Brian. Crime & detection. DK Pub., 2005.

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Heyer, Georgette. Detection Unlimited. Chivers Press, 1993.

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Book chapters on the topic "Detection"

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Bzik, Thomas J. "Detecting the Detection Limit." In Detection Limits in Air Quality and Environmental Measurements. ASTM International, 2019. http://dx.doi.org/10.1520/stp161820180117.

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Ascari, Maurizio. "Detection before Detection." In A Counter-History of Crime Fiction. Palgrave Macmillan UK, 2007. http://dx.doi.org/10.1057/9780230234536_2.

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Chugg, Keith M., Achilleas Anastasopoulos, and Xiaopeng Chen. "Overview of Non-Iterative Detection." In Iterative Detection. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6_1.

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Chugg, Keith M., Achilleas Anastasopoulos, and Xiaopeng Chen. "Principles of Iterative Detection." In Iterative Detection. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6_2.

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Chugg, Keith M., Achilleas Anastasopoulos, and Xiaopeng Chen. "Iterative Detection for Complexity Reduction." In Iterative Detection. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6_3.

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Chugg, Keith M., Achilleas Anastasopoulos, and Xiaopeng Chen. "Adaptive Iterative Detection." In Iterative Detection. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6_4.

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Chugg, Keith M., Achilleas Anastasopoulos, and Xiaopeng Chen. "Applications in Two Dimensional Systems." In Iterative Detection. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6_5.

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Beerel, Peter A. "Implementation Issues: A Turbo Decoder Design Case Study." In Iterative Detection. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1699-6_6.

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Sengupta, Nandita, and Jaya Sil. "Introduction." In Intrusion Detection. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2716-6_1.

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Sengupta, Nandita, and Jaya Sil. "Discretization." In Intrusion Detection. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2716-6_2.

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Conference papers on the topic "Detection"

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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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Gauch, Anja, and Richard Diurba. "Prototyping the Light Detection of the DUNE Near Detector." In Prototyping the Light Detection of the DUNE Near Detector. US DOE, 2023. http://dx.doi.org/10.2172/2283763.

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van Nuland, Marjolein. "Neutron Detection in the DUNE Liquid Argon Near Detector." In Neutron Detection in the DUNE Liquid Argon Near Detector. US DOE, 2024. https://doi.org/10.2172/2479539.

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Beck, M., M. E. Anderson, and M. G. Raymer. "Imaging through Scattering Media Using Pulsed Homodyne Detection." In Advances in Optical Imaging and Photon Migration. Optica Publishing Group, 2022. http://dx.doi.org/10.1364/aoipm.1994.ci.257.

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In this paper we demonstrate high resolution imaging of a target embedded in a scattering medium using a pulsed laser source. The imaging is performed by interfering the light emerging from the scattering medium with a 200 fs duration pulsed local oscillator beam, and detecting the interfered light with a balanced homodyne detector. We show that the data collected by our detector can be analyzed in two ways. One method strongly suppresses the detection of scattered light emerging from the medium, leaving almost exclusively the ballistic (unscattered) component of the signal. Using the other da
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Strotov, V. V., and P. E. Zhgutov. "Combining Several Algorithmsto Increase the Accuracy of Pedestrian Detection and Localization." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-628-635.

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In this paper, the problem of developing an algorithm for detecting pedestrians in a sequence of images is considered. The concept of a combined algorithm combining a pedestrian detector with an aggregation function of several channels, together with a motion detection algorithm and a tracking function is proposed. The paper describes the stages of the algorithm, as well as experimental studies that were conducted on a set of test videos. During the study of the combined algorithm, the quality of detection of the combined algorithm and the pedestrian detector was compared separately. The study
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Bedard, Alfred J. "The Infrasound Network (ISNet) as an 88D Adjunct Tornado Detection Tool: The Status of Infrasonic Tornado Detection." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-10480.

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After a background of operation through three years (2003–2005), the purpose of this paper is to summarize the status of our efforts to evaluate the potential of NOAA’s Infrasonic Detection Network (ISNet) for tornado detection and warning. The network implementation has involved parallel efforts at hardware design, detection algorithm development, designing displays, application of a fully compressible numerical model to understand infrasound generation processes, and modeling propagation using a 3-D acoustic ray tracing program. In combination, these efforts are placing us in a position to r
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Khalid, Anna. "Kilonova Detection." In Kilonova Detection. US DOE, 2023. http://dx.doi.org/10.2172/1995266.

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Pacaldo, Joren Mundane, Chi Wee Tan, Wah Pheng Lee, Dustin Gerard Ancog, and Haroun Al Raschid Christopher Macalisang. "Utilizing Synthetically-Generated License Plate Automatic Detection and Recognition of Motor Vehicle Plates in Philippines." In International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1022.

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We investigated the potential use of synthetic data for automatic license plate detection and recognition by detecting and clustering each of the characters on the license plates. We used 36 cascading classifiers (26 letters + 10 numbers) as an individual character to detect synthetically generated license plates. We trained our cascade classifier using a Local Binary Pattern (LBP) as the visual descriptor. After detecting all the characters individually, an investigation has been established in identifying and utilizing a clustering algorithm in grouping these characters for valid license pla
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Mitrevski, Jovan. "Low Energy LArTPC Signal Detection Using Anomaly Detection." In Low Energy LArTPC Signal Detection Using Anomaly Detection. US DOE, 2023. http://dx.doi.org/10.2172/2204657.

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Kolodziej, Joanna, Mateusz Krzyszton, and Pawel Szynkiewicz. "Anomaly Detection In TCP/IP Networks." In 37th ECMS International Conference on Modelling and Simulation. ECMS, 2023. http://dx.doi.org/10.7148/2023-0542.

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Intrusion Detection Systems (IDS) should be capable of quickly detecting attacks and network traffic anomalies to reduce the damage to the network components. They may efficiently detect threats based on prior knowledge of attack characteristics and the potential threat impact ('known attacks'). However, IDS cannot recognize threats, and attacks ('unknown attacks') usually occur when using brand-new technologies for system damage. This paper presents two security services -- Net Anomaly Detector (NAD) and a signature-based PGA Filter for detecting attacks and anomalies in TCP/IP networks. Both
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Reports on the topic "Detection"

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Bussiere, Matthew, Shawn Smith, and Stephane Bussiere. DTPH56-15-T-00004 Framework for Verifying and Validating External Leak Detection Systems on Pipelines. Pipeline Research Council International, Inc. (PRCI), 2015. http://dx.doi.org/10.55274/r0011847.

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A leak detection evaluation framework has been developed for use pipe pipeline operators to identify and evaluate candidate external leak detection systems intended for possible deployment on onshore transmission pipelines and assist operators in making an informal technology selection. The framework focusses on leak detection systems that are deployed or that operate external to the pipeline. Such systems are reportedly capable of detecting small releases that fall below the detection threshold of traditional leak detection systems, such as computation pipeline monitoring systems, and can the
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Broder, Bruce, and Stuart Schwartz. Quickest Detection Procedures and Transient Signal Detection. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada230068.

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Emma, Olsson. Kolinlagring med biokol : Att nyttja biokol och hydrokol som kolsänka i östra Mellansverige. Linköping University Electronic Press, 2025. https://doi.org/10.3384/9789180759496.

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Pest inventory of a field is a way of knowing when the thresholds for pest control is reached. It is of increasing interest to use machine learning to automate this process, however, many challenges arise with detection of small insects both in traps and on plants. This thesis investigates the prospects of developing an automatic warning system for notifying a user of when certain pests are detected in a trap. For this, sliding window with histogram of oriented gradients based support vector machine were implemented. Trap detection with neural network models and a check size function were test
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Nestleroth, Dr J. Bruce. PR-3-823-R01 Remote Field Eddy Current Detection of Stress-Corrosion Cracks. Pipeline Research Council International, Inc. (PRCI), 1990. http://dx.doi.org/10.55274/r0011870.

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The feasibility of detecting stress-corrosion cracks (SCC) using the Remote Field Eddy Current (RFEC) technique was demonstrated. The RFEC technique interrogates the entire thickness of the pipe and is applicable for in-line inspection. If it can be shown that the RFEC technique is effective in detecting SCC, then the technique is an ideal method for detecting the defects of interest. A defect detection model is proposed for explaining the mechanism for crack detection. For axially orientated, closed cracks, such as SCC, the conventional defect detection model proved to be too simplistic and n
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Guan, Yawen, Deborah Sulsky, J. Tucker, and Christian Sampson. Feature Detection. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1769711.

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Wendelberger, James G. Pit and Crack Detection Summary Report Crack Detection. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1504667.

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Lukow, Steven, Ross Lee, Jonathan Gigax, and David Grow. Improving Non-Destructive Detection Technology Through SAVY Feature Detection. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1884728.

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Siebenaler. PR-015-084510-R01 Evaluation of External Leak Detection Systems for Liquid Pipelines. Pipeline Research Council International, Inc. (PRCI), 2009. http://dx.doi.org/10.55274/r0010674.

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A project was conducted to determine the viability of various external leak detection systems for use on liquid pipelines.� This project defined external leak detection as a means of detecting unintended pipeline discharge without the use of pressure or flow modeling. Specifically, this project was focused on the ability to detect leaks that are too small for most computational pipeline monitoring (CPM) systems to detect.� A list of possible technologies was assembled and a tradeoff study was conducted to rank the technologies.
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Va'vra, Jaroslav. Single Electron Detection in Quadruple-GEM Detector with Pad Readout. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/784889.

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Barnett, R. M., K. Einsweiler, and I. Hinchliffe. Higgs detection via decays to leptons with the SDC detector. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6053256.

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