Relevant bibliographies by topics / Individual recognition

Contents

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

Academic literature on the topic 'Individual recognition'

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

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Journal articles on the topic "Individual recognition"

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Yacoob, Sahal. "Individual recognition." Physics World 28, no. 10 (2015): 15. http://dx.doi.org/10.1088/2058-7058/28/10/26.

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Matsunaga, K., and K. Tanaka. "Individual Recognition via Brainprint." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2004 (2004): 93–94. http://dx.doi.org/10.1299/jsmermd.2004.93_4.

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Richler, Jennifer J., Andrew J. Tomarken, Mackenzie A. Sunday, et al. "Individual differences in object recognition." Psychological Review 126, no. 2 (2019): 226–51. http://dx.doi.org/10.1037/rev0000129.

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D'Ettorre, Patrizia, and Jürgen Heinze. "Individual Recognition in Ant Queens." Current Biology 15, no. 23 (2005): 2170–74. http://dx.doi.org/10.1016/j.cub.2005.10.067.

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Watanabe, Shigeru, and Youko Mori. "Individual recognition learning in mice." Journal of Ethology 8, no. 1 (1990): 29–32. http://dx.doi.org/10.1007/bf02350127.

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Van Ballegooij, Wouter, and Petra Bárd. "Mutual Recognition and Individual Rights." New Journal of European Criminal Law 7, no. 4 (2016): 439–64. http://dx.doi.org/10.1177/203228441600700405.

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This article focuses on the case-law of the Court of Justice and the dialogue it conducted with national apex courts when seeking to reconcile the ‘free movement of judicial decisions’, as facilitated by mutual recognition, and individual rights in its interpretation of the Framework Decision on the European Arrest Warrant. The present analysis shall concentrate on the recent judgment in Aranyosi and Căldăraru. The article concludes that for the sake of legal certainty, more guidance should be provided under EU legislation to make sure that judicial cooperation does not lead to disproportionat
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Dhondt, AndréA, and Marcel M. Lambrechts. "Individual voice recognition in birds." Trends in Ecology & Evolution 7, no. 6 (1992): 178–79. http://dx.doi.org/10.1016/0169-5347(92)90068-m.

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Min, Huasong, Ziming Chen, Bin Fang, et al. "Cross-Individual Gesture Recognition Based on Long Short-Term Memory Networks." Scientific Programming 2021 (July 6, 2021): 1–11. http://dx.doi.org/10.1155/2021/6680417.

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Gestures recognition based on surface electromyography (sEMG) has been widely used for human-computer interaction. However, there are few research studies on overcoming the influence of physiological factors among different individuals. In this paper, a cross-individual gesture recognition method based on long short-term memory (LSTM) networks is proposed, named cross-individual LSTM (CI-LSTM). CI-LSTM has a dual-network structure, including a gesture recognition module and an individual recognition module. By designing the loss function, the individual information recognition module assists t
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Bosen, Adam K., Victoria A. Sevich, and Shauntelle A. Cannon. "Forward Digit Span and Word Familiarity Do Not Correlate With Differences in Speech Recognition in Individuals With Cochlear Implants After Accounting for Auditory Resolution." Journal of Speech, Language, and Hearing Research 64, no. 8 (2021): 3330–42. http://dx.doi.org/10.1044/2021_jslhr-20-00574.

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Purpose In individuals with cochlear implants, speech recognition is not associated with tests of working memory that primarily reflect storage, such as forward digit span. In contrast, our previous work found that vocoded speech recognition in individuals with normal hearing was correlated with performance on a forward digit span task. A possible explanation for this difference across groups is that variability in auditory resolution across individuals with cochlear implants could conceal the true relationship between speech and memory tasks. Here, our goal was to determine if performance on
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Engelberg, Jonathan W. M., Jay W. Schwartz, and Harold Gouzoules. "Do human screams permit individual recognition?" PeerJ 7 (June 24, 2019): e7087. http://dx.doi.org/10.7717/peerj.7087.

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The recognition of individuals through vocalizations is a highly adaptive ability in the social behavior of many species, including humans. However, the extent to which nonlinguistic vocalizations such as screams permit individual recognition in humans remains unclear. Using a same-different vocalizer discrimination task, we investigated participants’ ability to correctly identify whether pairs of screams were produced by the same person or two different people, a critical prerequisite to individual recognition. Despite prior theory-based contentions that screams are not acoustically well-suit
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Dissertations / Theses on the topic "Individual recognition"

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Chiroro, Patrick. "Individual differences in recognition memory for faces." Thesis, Durham University, 1994. http://etheses.dur.ac.uk/1217/.

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Contemporary research on human memory has tended to disregard individual differences (Eysenck, 1977, 1983; Sternberg & French, 1990). However, there seems to be no empirical justification for this practice, especially in experimental situations where the stimuli that are used are 'socially relevant'. Human faces constitute one such category. Although there is strong evidence which suggests that people differ substantially in their ability to recognise faces in laboratory experiments (Baddeley & Woodhead, 1983) and in everyday situations (Schweich, van der Linden, Bredart, Bruyer, Neils & Schil
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Zubko, Olga. "The source of individual differences in face recognition." Thesis, University of Kent, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.590070.

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For most of us, recognising a face is effortless and instantaneous, yet there are striking differences between individuals' ability to do so. Although several models of face recognition have been proposed (see Ellis & Young, 1990; Bruce & Young, 1986), no systematic investigation of how individual differences might arise at each stage of face processing exists. To this end, the current thesis sought to identify the sources of individual variability in face processing. Seven stages of face processing consisting of the ability to: (i) disregard incidental properties, (ii) code 1 st order relatio
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Elenius, Daniel. "Accounting for Individual Speaker Properties in Automatic Speech Recognition." Licentiate thesis, KTH, Speech Communication and Technology, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-12258.

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<p>In this work, speaker characteristic modeling has been applied in the fields of automatic speech recognition (ASR) and automatic speaker verification (ASV). In ASR, a key problem is that acoustic mismatch between training and test conditions degrade classification per- formance. In this work, a child exemplifies a speaker not represented in training data and methods to reduce the spectral mismatch are devised and evaluated. To reduce the acoustic mismatch, predictive modeling based on spectral speech transformation is applied. Follow- ing this approach, a model suitable for a target s
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Abraham, Ashley N. Dr. "Individual differences in lexical context effects during word recognition." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1605262896060915.

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Bradshaw, Richard H. "Agonistic behaviour and individual recognition in groups of laying hens." Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276581.

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Hughes, Benjamin. "Automated detection and shape based recognition of individual great white sharks." Thesis, University of Bristol, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701973.

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Systems that classify images by the individual animals they contain have widespread applicability in field-based ecology and conservation research, allowing individuals to be recognised repeatedly in a non-invasive way. The aim of this thesis is the design of such systems for animal species where individuals exhibit visually unique body morphologies, with the specific objective that individuals are recognised fully automatically. A two-stage approach is adopted to achieve this objective, as illustrated for the task of recognising individual great white sharks. First, a model is trained for aut
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Talbot, Catherine F. "Performance on a Face Discrimination Task by Orangutans Reflects a Possible Interaction between Familiarity and Novelty." Digital Archive @ GSU, 2012. http://digitalarchive.gsu.edu/psych_theses/92.

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Faces provide humans with information on the age, sex, individual identity, and emotional state of others. Although comparatively less is known about nonhuman primates’ face processing abilities, several gregarious group living species are able to discriminate conspecific faces. Here, we tested a less gregarious species, orangutans, to determine if they exhibit similar skills. Using a matching-to-sample paradigm, orangutans matched two identical portraits of unfamiliar orangutans. Next, subjects matched two different photographs of the same individual across viewpoints. During testing, subject
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Dalrymple-Alford, Joseph. "Does vocabulary knowledge influence speech recognition in adverse listening conditions?" Thesis, University of Canterbury. Communication Disorders, 2014. http://hdl.handle.net/10092/9334.

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Purpose: To investigate the effects of vocabulary, working memory, age, semantic context, and signal-to-noise-ratio (SNR) on speech recognition in adverse conditions (multitalker babble) in normal-hearing listeners aged 18-35. First, a general hypothesis was tested that listeners with larger receptive vocabularies would be more accurate at recognising speech in noise than listeners with more limited receptive vocabularies, even when target stimuli are words with high lexical frequency. A second more specific hypothesis was that the vocabulary would be predictive of speech recognition ac
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Mauney, Lisa M. "Individual Differences in Cognitive, Musical, and Perceptual Abilities." Thesis, Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/13972.

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The increasing use of auditory graphs and sonifications in technology is leading to a wider variety of system users, which, in turn, suggests a need for research in how differences between individual listeners affect sound interpretation. As a first step in this arena, the current study investigates the question of whether or not cognitive abilities and musical experience predict frequency and tempo discrimination in individuals. Participants in the study were 30 undergraduate students from Georgia Institute of Technology and 20 adults from the Atlanta, Georgia community. In the cognitive abil
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Dempsey, Katherine. "Monitoring individual cells within cell cultures using image processing and pattern recognition techniques." Thesis, Keele University, 2017. http://eprints.keele.ac.uk/4179/.

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Cells are the building blocks of the human body which are normally specialised by type in accordance with their function. Human cells interact with each other to form the tissues that make up the body. Consequently, it is important to study the behaviour and interactions of these cells at the microscale level, so that the causes of cellular irregularities can be identified; and, possible treatments can be devised. This project aimed to create algorithms that were capable of tracking a variety of cells types within both single cultures and mixed cultures, and from this generate data that was re
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Books on the topic "Individual recognition"

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S, Hammond Philip, Mizroch Sally A, Donovan Gregory P, and Symposium and Workshop on Individual Recognition and the Estimation of Cetacean Population Parameters (1988 : La Jolla, San Diego, Calif.), eds. Individual recognition of cetaceans: Use of photo-identification and other techniques to estimate population parameters : incorporating the proceedings of the Symposium and Workshop on Individual Recognition and the Estimation of Cetacean Population Parameters. International Whaling Commission, 1990.

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Ballegooij, Wouter van. The nature of mutual recognition in European Law: Re-examining the notion from an individual rights perspective with a view to its further development in the criminal justice area. Intersentia Ltd, 2015.

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Matthews, Eve. On the basis of visual clues, is the recognition of the differences between individuals possible for autistic adults? University of Birmingham, 1994.

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Diamond, Stephanie. Dragon Professional Individual. Wiley & Sons, Incorporated, John, 2017.

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Diamond, Stephanie. Dragon Professional Individual for Dummies. Wiley & Sons, Incorporated, John, 2017.

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Diamond, Stephanie. Dragon Professional Individual For Dummies. For Dummies, 2016.

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Diamond, Stephanie. Dragon Professional Individual for Dummies. Wiley & Sons, Incorporated, John, 2015.

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Diamond, Stephanie. Dragon Professional Individual for Dummies. Wiley & Sons, Incorporated, John, 2015.

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Diamond, Stephanie. Dragon Professional Individual for Dummies. Wiley & Sons, Incorporated, John, 2017.

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Carver, Clifford, and David Moseley. A Group or Individual Diagnostic Test of Word Recognition and Phonic Skills (Wraps) (Word Recognition & Phonic Skills). Hodder Arnold H&S, 1994.

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Book chapters on the topic "Individual recognition"

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Cely, Christian C., and Elizabeth A. Tibbetts. "Individual Recognition." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_1034-1.

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Cely, Christian C., and Elizabeth A. Tibbetts. "Individual Recognition." In Encyclopedia of Animal Cognition and Behavior. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_1034.

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Yu, Zhiwen, and Zhu Wang. "Individual Behavior Recognition." In Human Behavior Analysis: Sensing and Understanding. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2109-6_5.

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Vetter, Kristina Mead, and Roy L. Caldwell. "Individual Recognition in Stomatopods." In Social Recognition in Invertebrates. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17599-7_2.

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Lee, Chi-Chun (Jeremy). "Individual Utterance Emotion Recognition." In Modeling Human Behaviors in Psychology Using Engineering Methods. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338857-5.

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Todrank, Josephine, Giora Heth, and Robert E. Johnston. "Kin and Individual Recognition." In Advances in Chemical Signals in Vertebrates. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-4733-4_24.

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Choraś, Michał, and Piotr Mroczkowski. "Recognizing Individual Typing Patterns." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-72849-8_41.

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He, Qi, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, and Rong Hou. "Distinguishing Individual Red Pandas from Their Faces." In Pattern Recognition and Computer Vision. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31723-2_61.

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Harth, Rafael. "Understanding Individual Neurons of ResNet Through Improved Compositional Formulas." In Pattern Recognition and Artificial Intelligence. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09282-4_24.

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Dan, Sanket, Kaushik Mukherjee, Subhojit Roy, Satyendra Nath Mandal, Dilip Kumar Hajra, and Santanu Banik. "Individual Pig Recognition Based on Ear Images." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7834-2_55.

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Conference papers on the topic "Individual recognition"

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Ghule, Vasudha, Shweta Dewasthale, Sangeeta Singh, and S. K. Moon. "Emotion Recognition in Autistic Individual." In 2024 Intelligent Systems and Machine Learning Conference (ISML). IEEE, 2024. https://doi.org/10.1109/isml60050.2024.11007368.

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Fujita, Shigeru, Kenji Sugawara, Thierry Gidel, Claude Moulin, and Insaf Setitra. "Recognition of Group Actions from Individual Actions in Brainstorming Sessions." In 2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD). IEEE, 2025. https://doi.org/10.1109/cscwd64889.2025.11033359.

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Ruiz-Ponce, Pablo, German Barquero, Cristina Palmero, Sergio Escalera, and José García-Rodríguez. "in2IN: Leveraging individual Information to Generate Human INteractions." In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2024. http://dx.doi.org/10.1109/cvprw63382.2024.00200.

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Pan, Xiezhao, Lu Wang, Xiaogang Tang, Minghui Gao, and Binquan Zhang. "Optimization Method for Small Sample Communication Emitter Source Individual Recognition Classifier." In 2024 9th International Conference on Signal and Image Processing (ICSIP). IEEE, 2024. http://dx.doi.org/10.1109/icsip61881.2024.10671566.

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Hasan, Walid, Sumaya Mahira, Golam Shakib Hosen, Md Harun-Ar-Rashid, and Torikuzzaman Mollah. "Utilization of the YOLOv8 Methodology for Individual Identification Through Facial Recognition." In 2024 13th International Conference on Electrical and Computer Engineering (ICECE). IEEE, 2024. https://doi.org/10.1109/icece64886.2024.11024852.

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Luo, Guangli. "Research on Individual Recognition of Psychological Crisis Based on Graph Neural Network." In 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2024. http://dx.doi.org/10.1109/icipca61593.2024.10709102.

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Park, Sun Young, and Yunan Chen. "Individual and Social Recognition." In CSCW '15: Computer Supported Cooperative Work and Social Computing. ACM, 2015. http://dx.doi.org/10.1145/2675133.2675248.

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Zhu, Depeng, Ranran Wei, Weida Zhan, and Ziqiang Hao. "Individual Soldier Gesture Intelligent Recognition System." In 2019 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2019. http://dx.doi.org/10.1109/icpics47731.2019.8942515.

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Galli, Alessandra, Giada Giorgi, and Claudio Narduzzi. "Individual Recognition by Gaussian ECG Features." In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2020. http://dx.doi.org/10.1109/i2mtc43012.2020.9129092.

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Ali, Sarah O., Raid R. O. Al-Nima, and Emad A. Mohammed. "Individual Recognition with Deep Earprint Learning." In 2021 International Conference on Communication & Information Technology (ICICT). IEEE, 2021. http://dx.doi.org/10.1109/icict52195.2021.9568410.

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Reports on the topic "Individual recognition"

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Eastman, Brittany. Legal Issues Facing Automated Vehicles, Facial Recognition, and Privacy Rights. SAE International, 2022. http://dx.doi.org/10.4271/epr2022016.

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Facial recognition software (FRS) is a form of biometric security that detects a face, analyzes it, converts it to data, and then matches it with images in a database. This technology is currently being used in vehicles for safety and convenience features, such as detecting driver fatigue, ensuring ride share drivers are wearing a face covering, or unlocking the vehicle. Public transportation hubs can also use FRS to identify missing persons, intercept domestic terrorism, deter theft, and achieve other security initiatives. However, biometric data is sensitive and there are numerous remaining
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Kawai, Mayumi, Shin Kato, Naoko Minobe, and Sadayuki Tsugawa. Driver-Adaptive Display for Car Navigation Systems Based on Individual Driver Differences in Route Recognition and Map Preference. SAE International, 2005. http://dx.doi.org/10.4271/2005-08-0457.

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Duncan, Michael. CRediT Contributor Register: A practical tool for tracking and recognising individual research contributions using the CRediT taxonomy. University of Dundee, 2025. https://doi.org/10.20933/100001402.

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The CRediT Contributor Register is a user-friendly Excel-based template designed to help research leaders and teams record and acknowledge individual contributions to research projects using the Contributor Roles Taxonomy (CRediT). Developed to support transparent authorship practices and inclusive research culture, this tool enables Principal Investigators (PIs), project managers, and collaborators to track contributions across 14 defined CRediT roles, from conceptualisation and data curation to project administration and software development. Ideal for use in UK Higher Education Institutions
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Gaponenko, Artiom, and Andrey Golovin. Electronic magazine with rating system of an estimation of individual and collective work of students. Science and Innovation Center Publishing House, 2017. http://dx.doi.org/10.12731/er0043.06102017.

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«The electronic magazine with rating system of an estimation of individual and collective work of students» (EM) is developed in document Microsoft Excel with use of macros. EM allows to automate all the calculated operations connected with estimation of amount scored by students in each form of the current control. EM provides automatic calculation of rating of the student with reflection of a maximum quantity of the points received in given educational group. The rating equal to “1” is assigned to the student who has got a maximum quantity of points for the certain date. For the other studen
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Droubi, Sufyan, and Fernando Lannes Fernandes. https://discovery.dundee.ac.uk/en/publications/sustainable-citizen-decision-making-impact-of-the-cost-of-living-. University of Dundee, 2023. http://dx.doi.org/10.20933/100001298.

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The present report is the outcome of a research project commissioned by Zero Waste Scotland and carried out by the Just Transition Hub (JTH), University of Dundee, with the objective of understanding the ways in which the cost-of-living crisis has affected the attitudes and behaviours of individuals and communities towards a transition to a low-carbon economy in Scotland. We define the transition as encompassing both energy transition and the transition to a circular economy, so in this report the word “transition(s)” means both the referred transitions. We define the scope of “justice” to cov
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Markova, Oksana, Serhiy Semerikov та Maiia Popel. СoCalc as a Learning Tool for Neural Network Simulation in the Special Course “Foundations of Mathematic Informatics”. Sun SITE Central Europe, 2018. http://dx.doi.org/10.31812/0564/2250.

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The role of neural network modeling in the learning сontent of special course “Foundations of Mathematic Informatics” was discussed. The course was developed for the students of technical universities – future IT-specialists and directed to breaking the gap between theoretic computer science and it’s applied applications: software, system and computing engineering. CoCalc was justified as a learning tool of mathematical informatics in general and neural network modeling in particular. The elements of technique of using CoCalc at studying topic “Neural network and pattern recognition” of the sp
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Clubb, Gordon, Katharina Sengfelder, Mary Beth Altier, Ryan Scrivens, and Didarul Islam. Standards for Employing Formers in P/CVE. International Centre for Counter Terrorism, 2024. http://dx.doi.org/10.19165/2024.4600.

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The active involvement or employment of former extremists (Formers) in preventing and countering violent extremism (P/CVE) has been a feature of the P/CVE landscape for over a decade. While divisive, a consensus is emerging that what is considered productive involvement of Formers is dependent on several factors related to the individual, the programme type, and the geographical and political context of the PCVE intervention. For years, leaders in the PCVE field have argued that standards are needed to delineate these factors and to guide PCVE programmes that choose to include Formers. The Inv
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Ali, Rassul. Konzeptentwicklung für CDM-Projekte - Risikoanalyse der projektbezogenen Generierung von CO2-Zertifikaten (CER). Sonderforschungsgruppe Institutionenanalyse, 2007. http://dx.doi.org/10.46850/sofia.9783933795842.

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The Clean Development Mechanism (CDM) is a complex legal-institutional system that, on the one hand, offers industrialized countries options for cost-effective emission reductions and, on the other, provides developing countries with opportunities for sustainable development. Investors face the difficulty of identifying suitable CDM projects from approximately 130 possible host countries and nearly 60 possible project activities. In order to develop points of reference for strategic investments, this paper identifies and categorizes the risks arising in the value creation process of bilateral
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FDG-PET/CT SUV for Response to Cancer Therapy, Clinically Feasible Profile. Chair Nathan Hall and Jeffrey Yap. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2023. http://dx.doi.org/10.1148/qiba/20230615.

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This QIBA Profile documents specifications and requirements to provide comparability and consistency for quantitative FDG-PET across scanners in oncology. It can be applied to both clinical trial use as well as individual patient management. This document organizes acquisition, reconstruction and post-processing, analysis and interpretation as steps in a pipeline that transforms data to information to knowledge. The document, developed through the efforts of the QIBA FDG-PET Biomarker Committee, has shared content with the FDG-PET UPICT protocol, as well as additional material focused on the d
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Maguire, Sasha. Amplifying Voices. Celebrating Design. Women Who Design. Montana State University, 2025. https://doi.org/10.15788/1751923449.

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Women Who Design is a research project dedicated to amplifying the stories, challenges, and achievements of women designers in Bozeman. Through interviews, visual storytelling, and curated work samples, this project highlights their creative processes and showcases the unique contributions of local designers, shedding light on their impact within both the industry and the broader community.By documenting and sharing these stories, Women Who Design seeks to foster greater recognition and appreciation for women in the design field while creating a lasting resource for aspiring designers. This pr
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