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1

Barbieri, Gillian Sylvia Anna-Stasia. The role of spatial derivatives in feature detection. University of Birmingham, 2000.

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2

Zhang, Zhifen, Guangrui Wen, and Wenjing Ren. Multiple Sensing-Driven Feature Extraction and Defect Detection. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4808-5.

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3

Li, Jian. Synthetic aperture radar target detection, feature extraction, and image formation techniques. National Aeronautics and Space Administration, 1994.

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4

United States. National Aeronautics and Space Administration., ed. Synthetic aperture radar target detection, feature extraction, and image formation techniques. National Aeronautics and Space Administration, 1994.

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5

Neelanarayanan, ed. Feature Analysis for Abnormality Detection in Breast Thermogram Sequences Subject to Cold Stress. Association of Scientists, Developers and Faculties, 2014.

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6

Levin, Boris. Seĭsmichnostʹ Tikhookeanskogo regiona: Vyi︠a︡vlenie globalʹnykh zakonomernosteĭ = Seismicity of the Pacific Region : global feature detection. "I︠A︡nus-K", 2012.

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7

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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8

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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9

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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10

L, Jankovsky Amy, and Lewis Research Center, eds. Real-time sensor validation, signal reconstruction, and feature detection for an RLV propulsion testbed. National Aeronautics and Space Administration, Lewis Research Center, 1998.

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11

David, Lane, and United States. National Aeronautics and Space Administration., eds. Enhanced line integral convolution with flow feature detection: NAS technical report NAS-96-007. National Aeronautics and Space Administration, 1996.

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12

Waldren, Douglas W. Anabat bat detection system: Description and maintenance manual. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2000.

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13

Lucy, Adrian B. The Detection and Description of Symbiotic Accretion From Cool Evolved Stars. [publisher not identified], 2021.

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14

Karegeannes, Carrie E. Afterimages: The Paris we walked : The dream we lived : the life we loved : poetry and feature articles. Pendragon, 2004.

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15

Zhukova, Evgeniya, Tat'yana Suvorova, Irina Il'ina, and Iskra Kosmarskaya. Business communication and cross-cultural communication. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1859082.

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The workshop is an addition to the textbook "Business communication and cross-cultural communication" and includes practice-oriented tasks that can be carried out online in all sections of the textbook. The workshop contains three sections, 10 chapters and consists of group and individual tasks, business games, analysis of video clips and discussions, reflection exercises aimed at developing skills in the sections "Cross-cultural communication as the interaction of different cultures", "Business communication as the basis of cross-cultural communications", "Ethical standards in professional ac
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16

Nazarov, Dmitriy, and Anton Kopnin. Information technologies in professional activity: data mining and business analytics. INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/2110964.

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The textbook offers a comprehensive look covering a wide range of topics related to the role of information technology in the modern world. Starting with an overview of the history of information technology and its evolution, the book introduces the reader to professions in the field of information and digital technologies, emphasizing them in various professional fields. The content of the textbook includes a detailed analysis of key concepts such as Data Science, Data Mining and Machine Learning, and their role in healthcare, law, education, science and business. The textbook provides a deta
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17

The Open The Open Courses Library. Smile Identification Via Feature Recognition and Corner Detection. Independently Published, 2019.

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18

Patra, Prasenjit Kr, Nilanjan Dey, and Amira Ashour. Feature Detectors and Motion Detection in Video Processing. IGI Global, 2016.

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19

Li, Yuxing, and Luca Fredianelli, eds. Detection and Feature Extraction in Acoustic Sensor Signals. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-9190-2.

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20

Nguyen, Duy Phuc. An FPGA implementation of face detection and lip feature extraction. 2005.

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21

Kim, Kwangjo, Muhamad Erza Aminanto, and Harry Chandra Tanuwidjaja. Network Intrusion Detection using Deep Learning: A Feature Learning Approach. Springer, 2018.

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22

Nguyen, Duy Phuc. An FPGA implementation of face detection and lip feature extraction. 2005.

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23

Kim, Kwangjo, Muhamad Erza Aminanto, and Harry Chandra Tanuwidjaja. Network Intrusion Detection using Deep Learning: A Feature Learning Approach. Springer, 2018.

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24

Lee, Jimmy Kim-Mil. ECG feature extraction without fiducial detection: Applications to ECG biometric recognition. 2006.

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25

Pierce, Linda. AN3377 - Using the Undervoltage Lockout Detection Feature on SPI Serial EEPROMs. Microchip Technology Incorporated, 2020.

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26

Detection and Feature Extraction of Mine-Like Objects from Seismic Sonar Signals. Storming Media, 2001.

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27

Tari, Zahir, Adil Fahad, Abdulmohsen Almalawi, and Xun Yi. Network Classification for Traffic Management: Anomaly detection, feature selection, clustering and classification. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbpc032e.

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28

Tari, Zahir, Adil Fahad, Abdulmohsen Almalawi, and Xun Yi. Network Classification for Traffic Management: Anomaly Detection, Feature Selection, Clustering and Classification. Institution of Engineering & Technology, 2020.

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29

Perlich, Claudia. Odd'14: Outlier Detection and Description. Association for Computing Machinery, 2014.

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30

Combined optimization of image-gathering and image-processing systems for scene feature detection. National Aeronautics and Space Administration, Langley Research Center, 1987.

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31

Pal, Saurabh, and Swanirbhar Majumder. Time Plane, Feature Extraction of ECG wave and Abnormality Detection: With MATLAB program. LAP LAMBERT Academic Publishing, 2012.

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32

Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments. MDPI, 2021. http://dx.doi.org/10.3390/books978-3-0365-1269-3.

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33

Woźniak, Marcin. Advanced Computational Intelligence for Object Detection, Feature Extraction and Recognition in Smart Sensor Environments. Mdpi AG, 2021.

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34

National Aeronautics and Space Administration (NASA) Staff. Real-Time Sensor Validation, Signal Reconstruction, and Feature Detection for an RLV Propulsion Testbed. Independently Published, 2018.

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35

Kreimer, Laurel Thomas. Feature description of objects by adults with traumatic brain injury. 2000.

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36

Mitchell, Lee Clark. Noir Fiction and Film. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844767.001.0001.

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The argument of Noir Fiction and Film is curiously counterintuitive: that in a century of hard-boiled fiction and detective films, characteristics that at first seemed trivial swelled in importance, flourishing into crucial aspects of the genre. Among these are aimless descriptions of people and places irrelevant to plot, along with detectives consisting of little more than sparkling dialogue and flippant attitudes. What weaves together such features, however, seems to be a paradox: that a genre rooted in solving a mystery, structured around the gathering of clues, must do so by misdirecting o
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37

Huelsen, Michael. Knowledge-Based Driver Assistance Systems: Traffic Situation Description and Situation Feature Relevance. Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH, 2014.

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38

Huelsen, Michael. Knowledge-Based Driver Assistance Systems: Traffic Situation Description and Situation Feature Relevance. Springer Vieweg, 2014.

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39

ODDx3'15 : Workshop 1: Workshop on Outlier Definition, Detection, and Description. Association for Computing Machinery, 2015.

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40

Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description. Association for Computing Machinery, 2013.

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41

Lutsenko, V. I., I. V. Lutsenko, D. O. Popov, and I. V. Popov. Remote sensing of the environment using the radiation of existing ground and space radio systems. PH “Akademperiodyka”, 2020. http://dx.doi.org/10.15407/akademperiodyka.429.345.

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Possibilities of using existing ground (TV centers, broadcasting stations) and space (global navigation satellite systems) radio systems for solving the problem of remote sensing and monitoring of the environment and objects in it are considered. The methods of diagnostics of the troposphere, description of the refractive index with the use of semi-Markov processes and atomic functions of Kravchenko-Rvacheva are proposed. The seasonal and altitudinal dependencies of radio-meteorological parameters and radio-climatic features of Ukraine were studied. Technologies for determining the effective g
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42

Hilgurt, S. Ya, and O. A. Chemerys. Reconfigurable signature-based information security tools of computer systems. PH “Akademperiodyka”, 2022. http://dx.doi.org/10.15407/akademperiodyka.458.297.

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The book is devoted to the research and development of methods for combining computational structures for reconfigurable signature-based information protection tools for computer systems and networks in order to increase their efficiency. Network security tools based, among others, on such AI-based approaches as deep neural networking, despite the great progress shown in recent years, still suffer from nonzero recognition error probability. Even a low probability of such an error in a critical infrastructure can be disastrous. Therefore, signature-based recognition methods with their theoretic
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43

Staff, Pueblo Grande Museum, and Logan Simpson Design Staff. Archaeological Investigations at la Ciudad, AZ T : The Frank Luke Addition Locus, Volume 1 : Introduction, Feature Description, Chronology, and Canals : 12: 1,. S'edav Va'aki Museum, 2016.

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44

Hu tong mian kong: Gu du Beijing de ren wen lü xing di tu = Feature of Beijing hutong : the culture map of ancient Beijing city. Guangxi shi fan da xue chu ban she, 2004.

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45

Hu tong mian kong: Gu du Beijing de ren wen lü xing di tu = Feature of Beijing hutong : the culture map of ancient Beijing city. Guangxi shi fan da xue chu ban she, 2004.

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46

Observations on Lithotomy, Lithotrity, and the Early Detection of Stone in the Bladder, with a Description of a New Method of Tapping the Bladder. Creative Media Partners, LLC, 2023.

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47

Leibo, Joel Z., and Tomaso Poggio. Perception. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0025.

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This chapter provides an overview of biological perceptual systems and their underlying computational principles focusing on the sensory sheets of the retina and cochlea and exploring how complex feature detection emerges by combining simple feature detectors in a hierarchical fashion. We also explore how the microcircuits of the neocortex implement such schemes pointing out similarities to progress in the field of machine vision driven deep learning algorithms. We see signs that engineered systems are catching up with the brain. For example, vision-based pedestrian detection systems are now a
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48

Woodward, P. H. The Secret Service Of The Post-office Department: As Exhibited In The Wonderful Exploits Of Special Agents Or Inspectors In The Detection, Pursuit, ... A Complete Description Of The Many Means And. Arkose Press, 2015.

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49

Radclyffe, T. Picturesque Views and Description of Cities, Towns, Castles, Mansions, and Other Objects of Interesting Feature, in Shropshire, from Original Designs, Taken Expressly for This Work, by Frederick Calvert, Engraved on Steel Dy [sic] Mr. T. Radclyffe, with H. Creative Media Partners, LLC, 2023.

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50

Beninger, Richard J. Neuroanatomy and dopamine systems. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198824091.003.0011.

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Neuroanatomy and dopamine systems explains how sensory signals ascend the central nervous system via a series of nuclei; axons detecting specific elements converge onto higher-order neurons that respond to particular stimulus features. Assemblies of feature-detection cells in the cerebral cortex detect complex stimuli such as faces. These cell assemblies project to motor nuclei of the dorsal and ventral striatum where they terminate on dendritic spines of efferent medium spiny neurons. Dopaminergic projections from ventral mesencephalic nuclei terminate on the same spines. Individual corticost
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