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1

Konstantinidis, Stavros, and Amber O'Hearn. "Error-detecting properties of languages." Theoretical Computer Science 276, no. 1-2 (2002): 355–75. http://dx.doi.org/10.1016/s0304-3975(01)00280-8.

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Cheung, Jessica Y., Christopher J. Chunnilall, and Nigel P. Fox. "Detecting photons: Properties and challenges." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 567, no. 1 (2006): 100–103. http://dx.doi.org/10.1016/j.nima.2006.05.075.

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Win, Zin Mar, and Nyein Aye. "Detecting Image Spam Based on File Properties, Histogram and Hough Transform." Journal of Advances in Computer Networks 2, no. 4 (2014): 287–92. http://dx.doi.org/10.7763/jacn.2014.v2.127.

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4

Frick, Raphael Antonius, Sascha Zmudzinski, and Martin Steinebach. "Detecting Deepfakes with Haralick’s Texture Properties." Electronic Imaging 2021, no. 4 (2021): 271–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.4.mwsf-271.

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In the recent years, the detection of deepfake videos has become a major topic in the field of digital media forensics, as the amount of such videos circulating on the internet has drastically risen. Providers of content, such as Facebook and Amazon, have become aware of this new threat to spreading misinformation on the Internet. In this work, a novel forgery detection method based on the texture analysis known from image classification and segmentation is proposed. In the experimental results, its performance has shown to be comparable to related works.
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Bilanovic, Iva, Jennifer Chubb, and Sam Roven. "Detecting properties from descriptions of groups." Archive for Mathematical Logic 59, no. 3-4 (2019): 293–312. http://dx.doi.org/10.1007/s00153-019-00690-x.

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Angiulli, Fabrizio, Fabio Fassetti, and Luigi Palopoli. "Detecting outlying properties of exceptional objects." ACM Transactions on Database Systems 34, no. 1 (2009): 1–62. http://dx.doi.org/10.1145/1508857.1508864.

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Lednev, I. S. "INQUIRY OF THE PROPERTIES OF DETECTION MEDIA FOR MAGNETIC PARTICLE INSPECTION." Proceedings of VIAM, no. 2 (2022): 122–32. http://dx.doi.org/10.18577/2307-6046-2022-0-2-122-132.

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The article presents the main properties of flaw detection materials for conducting magnetic particle inspection based on the analysis of GOST R ISO 9934-2–2011. A description of the verification of each parameter of flaw detection materials is presented and it is established how their nonconformity affects the effectiveness of control. The types of tests and which subjects should conduct them are shown. An experimental check of the detectability of defects depending on the particle sizes of flaw-detecting materials was carried out and it was found that the highest detectability is characteris
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Wang, Jen-Tse, and Cheng-Chih Huang. "Some Properties of Channel Detecting Codes on Specific Domains." Ars Combinatoria 159, no. 1 (2024): 51–58. http://dx.doi.org/10.61091/ars159-06.

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This project aims at investigating properties of channel detecting codes on specific domains \(1^+0^+\). We focus on the transmission channel with deletion errors. Firstly, we discuss properties of channels with deletion errors. We propose a certain kind of code that is a channel detecting (abbr. \(\gamma\)-detecting) code for the channel \(\gamma = \delta(m, N)\) where \(m < N\). The characteristic of this \(\gamma\)-detecting code is considered. One method is provided to construct \(\gamma\)-detecting code. Finally, we also study a kind of special channel code named \(\tau(m, N)\)-srp cod
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Kshemkalyani, Ajay, and Bin Wu. "Detecting Arbitrary Stable Properties Using Efficient Snapshots." IEEE Transactions on Software Engineering 33, no. 5 (2007): 330–46. http://dx.doi.org/10.1109/tse.2007.1000.

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Tavkhelidze, A. N., L. S. Kuzmin, E. S. Soldatov, et al. "Detecting properties of YBaCuO thin film bridges." IEEE Transactions on Magnetics 27, no. 2 (1991): 2456–59. http://dx.doi.org/10.1109/20.133716.

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Zhou, Jing. "Overview of gravitational waves: Formation, polarization and detection." Journal of Physics: Conference Series 2669, no. 1 (2023): 012005. http://dx.doi.org/10.1088/1742-6596/2669/1/012005.

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Abstract Gravitational waves (GWs) are reliable for proving general relativities. Also, they can be used in detecting physics phenomena in the universe. Motions of bodies make spacetime curved, and then gravitational waves are formed. Additionally, GWs can be produced in the early universe. A mathematical description of gravitational waves derived using linearized theory and transverse-traceless gauge shows GWs polarizations and the relationship between perturbation and strain. GW signal was first detected in the binary system PSR1913+16. Data presented an orbital decay, which followed general
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Liu, Yu, Kai Guo, Xiangdong Huang, Zhou Zhou, and Yichi Zhang. "Detecting Android Malwares with High-Efficient Hybrid Analyzing Methods." Mobile Information Systems 2018 (March 13, 2018): 1–12. http://dx.doi.org/10.1155/2018/1649703.

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In order to tackle the security issues caused by malwares of Android OS, we proposed a high-efficient hybrid-detecting scheme for Android malwares. Our scheme employed different analyzing methods (static and dynamic methods) to construct a flexible detecting scheme. In this paper, we proposed some detecting techniques such as Com+ feature based on traditional Permission and API call features to improve the performance of static detection. The collapsing issue of traditional function call graph-based malware detection was also avoided, as we adopted feature selection and clustering method to un
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Dixit, Purushottam D. "Detecting temperature fluctuations at equilibrium." Physical Chemistry Chemical Physics 17, no. 19 (2015): 13000–13005. http://dx.doi.org/10.1039/c5cp01423a.

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Iranparvar, Parastoo, Kasra Tabari, and Anahita Shahi. "Efficacy of an experimental propylene glycol-based, water-free caries detecting dye in comparison with Snoop® using histological analysis." Bangladesh Journal of Medical Science 17, no. 2 (2018): 218–23. http://dx.doi.org/10.3329/bjms.v17i2.35874.

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Background and Aim: One limitation of caries disclosing dyes is the risk of sound dentin removal. This study sought to assess the efficacy of a newly developed experimental caries disclosing dye in complete removal of infected dentin and its properties in comparison with Snoop caries detecting dye using histological analysis.Materials and Methods: A caries detecting dye with improved properties was experimentally prepared. Twenty permanent teeth with occlusal caries were selected and divided into two groups of staining with the experimental dye (group 1) and Snoop caries detecting dye (group 2
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Zou, Jiaming. "Analysis Of the Exoplanet Searching Based on Transit and Radial Velocity Method." Highlights in Science, Engineering and Technology 112 (August 20, 2024): 54–61. http://dx.doi.org/10.54097/t8yny880.

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Exoplanet searching is one of the most important themes in astrophysics and astronomy. There have been countless missions aiming to find planets out of the solar system, and further on to find extraterrestrial life. This study is an analysis on the different exoplanet detection methods, by their usage on detecting certain major properties of exoplanets. The two most used methods, namely transit method and radial velocity (RV) method, would be evaluated using frequency of usage with exoplanet.eu as the data source. According to the analysis, transit method exceeds in determining planetary radiu
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Grasman, T. J., and A. S. Grader. "Constant Pressure Interference Testing: Detecting Double-Porosity Properties." SPE Formation Evaluation 5, no. 04 (1990): 353–59. http://dx.doi.org/10.2118/18835-pa.

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Shang, J. Q., and R. K. Rowe. "Detecting Landfill Leachate Contamination Using Soil Electrical Properties." Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management 7, no. 1 (2003): 3–11. http://dx.doi.org/10.1061/(asce)1090-025x(2003)7:1(3).

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18

Garonzi, Martino, and Massimiliano Patassini. "Inequalities detecting structural properties of a finite group." Communications in Algebra 45, no. 2 (2016): 677–87. http://dx.doi.org/10.1080/00927872.2016.1172621.

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19

Poole, Michael J., and John P. Charlesworth. "Ultrasonic resonance for detecting changes in elastic properties." Journal of the Acoustical Society of America 81, no. 4 (1987): 1216. http://dx.doi.org/10.1121/1.394614.

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20

Mehrabian, M., R. Azimirad, K. Mirabbaszadeh, H. Afarideh, and M. Davoudian. "UV detecting properties of hydrothermal synthesized ZnO nanorods." Physica E: Low-dimensional Systems and Nanostructures 43, no. 6 (2011): 1141–45. http://dx.doi.org/10.1016/j.physe.2011.01.030.

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21

Shi, Yanping, Chao Sun, Xiaoqi Gao, Wei Zhao, and Nan Zhou. "Sensitively and Selectively Detect Biothiols by Using Fluorescence Method and Resonance Light Scattering Technique Simultaneously." Molecules 24, no. 22 (2019): 4136. http://dx.doi.org/10.3390/molecules24224136.

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In this paper, we designed a new quantitative and qualitive detection method for biothiols by using fluorescence method and resonance light scattering (RLS) technique. Nitrogen doped carbon quantum dots (C/N-dots) were obtained from tartaric acid and ethylenediamine by hydrothermal method, and then their morphology and optical properties were characterized by different techniques. A detection system consisting of C/N-dots and Ag+ complex was established. In this system, C/N-dots possessed the photoluminescent property and the Ag+ complex owned the RLS property, so, by combining the two lumines
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22

Santos, Nádia E., Flávio Figueira, Miguel Neto, Filipe A. Almeida Paz, Susana Santos Braga, and Joana C. Mendes. "Diamonds for Life: Developments in Sensors for Biomolecules." Applied Sciences 12, no. 6 (2022): 3000. http://dx.doi.org/10.3390/app12063000.

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Diamond-based electrodes and biosensors are interesting in analytics because of their particular set of properties, namely: large potential window, chemical inertness, low baseline current, stability, and transparency. Diamond-based electrodes and biosensors were shown to detect biological molecules such as neurotransmitters and proteins, respectively. In this review, we summarise the different types of diamond electrodes and biosensors based on their type of detection (electrochemical or optical), functionalisation, and target analyte. The last section presents a discussion on the different a
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Lubis, Yuni Aldriani, Saharman Gea, Muhammad Frassetia Lubis, Woei Wu Larry Pai, and Marpongahtun Marpongahtun. "Synthesis, Microstructure, Optical Properties, and Sensitive Amoxicillin Detection of Carbon Dots." Indonesian Journal of Chemical Research 13, no. 1 (2025): 38–45. https://doi.org/10.30598/ijcr.2025.13-yun.

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The detection of amoxicillin has been successfully carried out using C-dot fluorescence probes made from d-glucose and urea. The fluorescence probe has an intense bright blue emission under UV light at 395 nm and and depends on the excitation and depends on the excitation. Raman studies successfully showed a D peak at 1381 cm-1 and a G peak at 1586 cm-1 associated with graphitic and amorphous structures. The absorption peaks in UV-vis spectroscopy confirm transitions at 275 nm (π → π*) and 322 nm (n → π*) with the presence of conjugated C=C and carbonyl (C=O) functional groups. The results of
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24

Benyamin, Matinnia, Parsakhoo Aidin, Mohammadi Jahangir, and Jouibari Shaban Shataee. "Monitoring geometric properties of an existing forest road using airborne Lidar data." Journal of Forest Science 63, No. 11 (2017): 490–95. http://dx.doi.org/10.17221/95/2017-jfs.

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Accurate information about geometric properties of a forest road is essential for the sustainable forestry and transportation safety. In this study the ability of airborne Lidar in detecting vertical and horizontal profiles and cross section elements of a forest road was investigated in a deciduous forest of Hyrcanian zone. Moreover, Lidar-derived road data was compared with field surveyed data by Leica Total Station device. The results indicated that the average error of Lidar in assessing vertical and horizontal profiles of the existing road was 0.57 m and 4.9°, respectively. The average err
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25

Mousavi, Seyyed Mojtaba, Seyyed Alireza Hashemi, Ahmad Gholami, et al. "Precise Blood Glucose Sensing by Nitrogen-Doped Graphene Quantum Dots for Tight Control of Diabetes." Journal of Sensors 2021 (July 16, 2021): 1–14. http://dx.doi.org/10.1155/2021/5580203.

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Graphene quantum dots (GQD) are novel fluorescent carbon nanomaterials based on a graphite structure. Thanks to extraordinary properties such as high surface area and enhanced prevalent optical properties, they have received more interest for special applications. Glucose sensing is a critical factor for the diagnosis, and treatment of diabetes plays an important role and could contribute to the monitoring of diabetes and other related parameters, which has been effectively underscoring the health society. Detecting glucose has been cultivated through different systems, for example, electroche
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SAMARIN, G. N., M. V. BELYAKOV, I. YU EFREMENKOV, and YU O. LYASHCHUK. "DETECTION OF ANTIBIOTICS IN MILK BY ITS PHOTOLUMINESCENT PROPERTIES." Elektrotekhnologii i elektrooborudovanie v APK 71, no. 1 (2024): 10–16. http://dx.doi.org/10.22314/2658-4859-2024-71-1-10-16.

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The use of antibiotics in the breeding of farm animals is an urgent problem with regard to food safety. For the dairy industry, the detection of residual amounts of antibiotics is crucial because of their inhibitory effect on fermentation processes. The most promising are optical screening methods for detecting these substances in milk and its processed products. Using optical sensors, it is possible to recognize a wide range of substances with high sensitivity and detect the residual content of various antibiotics, including the penicillin group. (Research Purpose) The research purpose is stu
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SEYDEL, R. "ON DETECTING STATIONARY BIFURCATIONS." International Journal of Bifurcation and Chaos 01, no. 02 (1991): 335–37. http://dx.doi.org/10.1142/s0218127491000257.

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Locating stationary bifurcations amounts to measuring the singularity of parameter-dependent Jacobian matrices. A well-known example of a measure of singularity is the determinant, requiring O(n) operations to calculate when a decomposition of the matrix is available. This paper discusses an alternative for the case of rank-deficiency one. An algorithm will be based on elements of the inverse Jacobian. The alternative has useful scaling properties, providing estimates of a sensitivity analysis.
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Nitta, Naotaka, Toshikatsu Washio, and Tomokazu Numano. "Basic investigation on identification of tissue composition based on propagation speeds of longitudinal and shear waves." Japanese Journal of Applied Physics 61, SG (2022): SG1023. http://dx.doi.org/10.35848/1347-4065/ac45d5.

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Abstract The elastic modulus of tissue as a useful biomarker of disease detection can be quantitatively evaluated based on shear wave speed (SWS) measurements in shear wave elastography. Although the longitudinal wave speed (LWS) is also expected to be a promising biomarker for disease detection, the elasticity is not always dominant because the LWS is affected by the bulk modulus. In other words, LWS and SWS may reflect different tissue properties. Therefore, in this study, based on the improvement in LWS measurement, the relationship between the composition of a phantom mixed with agar and g
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Liu, Chang, Yanlei Li, Wenming Sun, Feiyu Ma, Xiangwu Wang, and Zihao Yang. "New Techniques of Meat Quality Assessment for Detecting Meat Texture." Processes 13, no. 3 (2025): 640. https://doi.org/10.3390/pr13030640.

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Meat, as an essential food source in people’s lives, provides a wealth of nutrients. The physical properties of meat are directly related to its sensory caracteristics, such as elasticity, viscosity, and toughness. Food rheology, as a discipline that studies the deformation and flow behavior of food under force, can effectively characterize these physical properties of meat. The evaluation methods of rheological properties provide a more comprehensive and accurate means of detecting meat quality. This not only helps enhance the quality control level in the meat industry but also holds signific
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Yan, Bao Dong, and Ying Yu. "Study on Detection of Human Motion Using a RGB Color Space Shadow Method with Mechanics Properties." Advanced Materials Research 703 (June 2013): 304–7. http://dx.doi.org/10.4028/www.scientific.net/amr.703.304.

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The aim of human mechanics is to reveal the mechanics properties of human motion. Especially, the purpose of human motion detection is detecting the moving people from continuous image sequences, extracting human body segments and then getting motion feature. The paper presents a shadow detection algorithm based on covariance difference operator based RGB color space and discusses its mechanics properties. The presented algorithm includes four steps: object detection, suspected shadow detection, shadow detection and post processing. The presented algorithm of adaptive shadow detection threshol
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Sanchez-Montero, Rocio, Juan-Antonio Martinez-Rojas, Pablo-Luis Lopez-Espi, Luis Nuñez-Martin, and Efren Diez-Jimenez. "Filtering of Mammograms Based on Convolution with Directional Fractal Masks to Enhance Microcalcifications." Applied Sciences 9, no. 6 (2019): 1194. http://dx.doi.org/10.3390/app9061194.

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The image processing of mammograms is very important for the early detection of breast pathologies, including cancer. This paper proposes a new technique based on directional fractal filtering for detecting microcalcification clusters or irregularly shaped microcalcifications. The proposed algorithm has two parts: a preprocessing step for detecting and locating microcalcification; and a second zooming, enhancement, and segmentation step. Detection is performed by image convolution using a set of masks with interesting fractal properties. Combined with other simple mathematical operations, rema
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Shi, Ce, Tatsuhiro Tsuchiya, and Chengmin Wang. "Separable detecting arrays." AIMS Mathematics 9, no. 12 (2024): 34806–26. https://doi.org/10.3934/math.20241657.

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<p>This paper aimed to address the issue of potential noise or measurement errors in component-based systems by utilizing separable detecting arrays (SDAs) to identify interaction faults and assess whether the number of faulty interactions exceeded a predefined threshold. In this paper, we established a comprehensive lower bound on the size of SDAs and explored an equivalence between optimum SDAs and orthogonal arrays with specific properties. By leveraging this equivalence, numerous optimum SDAs were derived from known results of orthogonal arrays. Additionally, optimum SDAs constructed
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Astuti, SuryaniDyah, Yanuar Mukhammad, SirlusAndreanto Jasman Duli, AlfianPramudita Putra, ErnieMaduratna Setiawatie, and Kuwat Triyana. "Gas sensor array system properties for detecting bacterial biofilms." Journal of Medical Signals & Sensors 9, no. 3 (2019): 158. http://dx.doi.org/10.4103/jmss.jmss_60_18.

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Zhao, Yuliang, Lijia Gu, Hui Sun, Xiaopeng Sha, and Wen Jung Li. "Physical Cytometry: Detecting Mass-Related Properties of Single Cells." ACS Sensors 7, no. 1 (2022): 21–36. http://dx.doi.org/10.1021/acssensors.1c01787.

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Yang, Haijuan, Jianjun Cheng, Mingwei Leng, Xing Su, Wenbo Zhang, and Xiaoyun Chen. "Detecting communities from networks based on their intrinsic properties." International Journal of Modern Physics C 30, no. 12 (2019): 1950104. http://dx.doi.org/10.1142/s0129183119501043.

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Communities in networks expose some intrinsic properties, each of them involves some influential nodes as its cores, around which the entire community grows gradually; the more the common neighbors that exist between a pair of nodes, the larger the possibility of belonging to the same community; the more the neighbors of any one node belong to a community, the larger the possibility that node belongs to that community too. In this paper, we present a novel method, which makes full utilization of these intrinsic properties to detect communities from networks. We iteratively select the node with
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36

Purcell, Shaun, and Pak Sham. "Properties of Structured Association Approaches to Detecting Population Stratification." Human Heredity 58, no. 2 (2004): 93–107. http://dx.doi.org/10.1159/000083030.

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Pagurova, V. I., and K. D. Rodionov. "On Asymptotic Properties of a Test for Detecting Outliers." Theory of Probability & Its Applications 31, no. 4 (1987): 705–8. http://dx.doi.org/10.1137/1131096.

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Shen, Chi-Yen, Chun-Pu Huang, and Wang-Tsung Huang. "Gas-detecting properties of surface acoustic wave ammonia sensors." Sensors and Actuators B: Chemical 101, no. 1-2 (2004): 1–7. http://dx.doi.org/10.1016/j.snb.2003.07.016.

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Brandt, J., and A. Klemenz. "Detecting acustomechanical properties of bone using scanning acoustic microscopy." Journal of Biomechanics 31 (July 1998): 153. http://dx.doi.org/10.1016/s0021-9290(98)80309-6.

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Siddorn, J. R., D. G. Bowers, and A. M. Hoguane. "Detecting the Zambezi River Plume using Observed Optical Properties." Marine Pollution Bulletin 42, no. 10 (2001): 942–50. http://dx.doi.org/10.1016/s0025-326x(01)00053-4.

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Bae, H. S., and Seongil Im. "Ultraviolet detecting properties of ZnO-based thin film transistors." Thin Solid Films 469-470 (December 2004): 75–79. http://dx.doi.org/10.1016/j.tsf.2004.06.196.

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Mukhin, Nikolay, and Ralf Lucklum. "QCM based sensor for detecting volumetric properties of liquids." Current Applied Physics 19, no. 6 (2019): 679–82. http://dx.doi.org/10.1016/j.cap.2019.03.017.

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Nadini, Matthieu, Christian Bongiorno, Alessandro Rizzo, and Maurizio Porfiri. "Detecting network backbones against time variations in node properties." Nonlinear Dynamics 99, no. 1 (2019): 855–78. http://dx.doi.org/10.1007/s11071-019-05134-y.

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Lu, Huiling, Xiaobin Bi, Shengdong Zhang, and Hang Zhou. "Ultraviolet detecting properties of amorphous MgInO thin film phototransistors." Semiconductor Science and Technology 30, no. 12 (2015): 125010. http://dx.doi.org/10.1088/0268-1242/30/12/125010.

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Rayens, Mary Kay, and Richard J. Kryscio. "Properties of Tango's index for detecting clustering in time." Statistics in Medicine 12, no. 19-20 (1993): 1813–27. http://dx.doi.org/10.1002/sim.4780121909.

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Neelaveni, Dr R., Abhinav ., and Sahas . "Analysis of Efficient Intrusion Detection System using Ensemble Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1521–30. http://dx.doi.org/10.22214/ijraset.2023.51858.

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Abstract: Our increasingly connected world continues to face an ever-growing amount of network-based attacks. Intrusion detection systems (IDS) are essential security technology for detecting these attacks. Although numerous machine learningbased IDS have been proposed for detecting malicious network traffic, most have difficulty properly detecting and classifying the more uncommon attack types. The research in Cyber Security has raised the need to address the cybercrimes that have caused the requisition of intellectual properties such as the breakdown of computer systems and impairment of imp
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Al Maghayreh, Eslam. "An Artificial Bee Colony Algorithm for Detecting Distributed Predicates." International Journal of Distributed Systems and Technologies 9, no. 3 (2018): 53–64. http://dx.doi.org/10.4018/ijdst.2018070104.

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Developing correct dependable distributed applications is a difficult task. The techniques developed to detect distributed predicates can be used to verify the satisfaction of specific properties (represented as predicates) in a given run of a distributed application. These techniques have several applications including the verification of the correctness of a particular implementation of a distributed system (runtime verification). Due to concurrency, the number of states to be considered in detecting a distributed predicate is exponential. This article investigates the effectiveness of using
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Zapata-Impata, Bryan S., Pablo Gil, and Fernando Torres. "Learning Spatio Temporal Tactile Features with a ConvLSTM for the Direction Of Slip Detection." Sensors 19, no. 523 (2019): 1–16. https://doi.org/10.3390/s19030523.

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Robotic manipulators have to constantly deal with the complex task of detecting whethera grasp is stable or, in contrast, whether the grasped object is slipping. Recognising the type ofslippage—translational, rotational—and its direction is more challenging than detecting only stability,but is simultaneously of greater use as regards correcting the aforementioned grasping issues. In thiswork, we propose a learning methodology for detecting the direction of a slip (seven categories)using spatio-temporal tactile features learnt from one tactile sensor. Tactile readings are, therefore
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D Parab, Dr Deepa, Vishal O Yadav, and Dr Harmeet Kaur Kohli. "Recent Progress in water soluble Fluorescent sensors for detection of Al+3, Fe+3 and Cu+2 ions." Asian Journal of Applied Science and Technology 09, no. 01 (2025): 167–85. https://doi.org/10.38177/ajast.2025.9115.

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A fluorescent sensor is a powerful technique used for detecting metal ions rapidly and effectively. It is a powerful tool for detecting metal ions in complex biological and environmental matrices. This review explores advancements in the development of water soluble fluorescence based sensors for metal ion detection focusing on Al³⁺, Fe+2 and Cu+2 ions in aqueous medium. It explores the latest advancements in sensor design. Specifically, this review highlights the synthetic process, sensing mechanism, phytophysical properties like detection limit, sensitivity, selectivity and performance of th
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Kourtesis, Panagiotis, Eleni Margioti, Christina Demenega, Foteini Christidi, and Sharon Abrahams. "A Comparison of the Greek ACE-III, M-ACE, ACE-R, MMSE, and ECAS in the Assessment and Identification of Alzheimer’s Disease." Journal of the International Neuropsychological Society 26, no. 8 (2020): 825–34. http://dx.doi.org/10.1017/s1355617720000314.

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AbstractObjective:This study aimed to adapt the Addenbrooke’s Cognitive Examination-III (ACE-III) and Mini-Addenbrooke’s Cognitive Examination (M-ACE) into Greek and then to examine the convergent validity against their predecessors Addenbrooke’s Cognitive Examination-Revised (ACE-R) and Mini-Mental State Examination (MMSE) in a Greek population. Moreover, a primary aim was to appraise the utility of each screen by conducting a comparison of the psychometric properties of ACE-III, M-ACE, ACE-R, MMSE, and the Edinburgh Cognitive and Behavioural Amyotrophic Lateral Sclerosis (ALS) Screen (ECAS)
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