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Relevant bibliographies by topics / Feature behavior analysis / Dissertations / Theses

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Dissertations / Theses on the topic 'Feature behavior analysis'

Author: Grafiati

Published: 10 January 2023

Last updated: 31 July 2025

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1

Wang, Jincheng. "Selective laser melting of Ti-35NB alloy: Processing, microstructure and properties." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2450.

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The initiative of a sustainable material system needs to lower the environmental and economic impact of production processes and adopt new ways of synthesizing and re-using materials. Even though the current conventional manufacturing processes, such as powder metallurgy, casting, forging, and rolling, have already shown their excellent ability to manufacture a large variety of parts and efficiently yield high volume products. Nevertheless, there are still many obstacles in manufacturing metallic components, such as complicated process procedures, high-energy consumption, large material waste,

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Cheng, Heng-Tze. "Learning and Recognizing The Hierarchical and Sequential Structure of Human Activities." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/293.

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The mission of the research presented in this thesis is to give computers the power to sense and react to human activities. Without the ability to sense the surroundings and understand what humans are doing, computers will not be able to provide active, timely, appropriate, and considerate services to the humans. To accomplish this mission, the work stands on the shoulders of two giants: Machine learning and ubiquitous computing. Because of the ubiquity of sensor-enabled mobile and wearable devices, there has been an emerging opportunity to sense, learn, and infer human activities from the sen

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SHAHID, MUHAMMAD. "Social Interactions Analysis through Deep Visual Nonverbal Features." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1040976.

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Human social interaction is as common as complex to understand. It is a part of our routine life ranging from houses to communal places either in direct face-to-face interaction or through digital media. During these interactions, humans exchange their thoughts, intentions, and emotions effectively. They use verbal language along with non-verbal social signals such as variation in voice tune, hand gestures, facial expressions, and body posture. This non-verbal part of communication is still less understood despite the fact of recent huge research progression and computational advancement. Rece

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Kim, Jonathan Chongkang. "Classification of affect using novel voice and visual features." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54301.

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Emotion adds an important element to the discussion of how information is conveyed and processed by humans; indeed, it plays an important role in the contextual understanding of messages. This research is centered on investigating relevant features for affect classification, along with modeling the multimodal and multitemporal nature of emotion. The use of formant-based features for affect classification is explored. Since linear predictive coding (LPC) based formant estimators often encounter problems with modeling speech elements, such as nasalized phonemes and give inconsistent results fo

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Green, Steven Paul. "Intelligent Person Behaviour Analysis in Low Resolution Beach Video Imagery." Thesis, Griffith University, 2011. http://hdl.handle.net/10072/366650.

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Object detection in complex scenes plays an important role in many real world applications, such as scene analysis, security, traffic violation detection, and medical research. The Object Detection and Behaviour Classification (ODBC) system created from this PhD research, is ground-breaking and concentrates solely on the domain of people and behaviour detection in low resolution beach scene imagery. The video source for this research was obtained from Coastalwatch beach webcams, which are located throughout Australia. Current object detection systems, overall, utilise a similar methodology, fo

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Leoputra, Wilson Suryajaya. "Video foreground extraction for mobile camera platforms." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/1384.

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Foreground object detection is a fundamental task in computer vision with many applications in areas such as object tracking, event identification, and behavior analysis. Most conventional foreground object detection methods work only in a stable illumination environments using fixed cameras. In real-world applications, however, it is often the case that the algorithm needs to operate under the following challenging conditions: drastic lighting changes, object shape complexity, moving cameras, low frame capture rates, and low resolution images. This thesis presents four novel approaches for fo

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Regard, Viktor. "Studying the effectiveness of dynamic analysis for fingerprinting Android malware behavior." Thesis, Linköpings universitet, Databas och informationsteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163090.

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Android is the second most targeted operating system for malware authors and to counter the development of Android malware, more knowledge about their behavior is needed. There are mainly two approaches to analyze Android malware, namely static and dynamic analysis. Recently in 2017, a study and well labeled dataset, named AMD (Android Malware Dataset), consisting of over 24,000 malware samples was released. It is divided into 135 varieties based on similar malicious behavior, retrieved through static analysis of the file classes.dex in the APK of each malware, whereas the labeled features wer

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Rickard, Renee E. "Dialectical behaviour therapists' experience of young people with features of borderline personality disorder : a qualitative analysis." Thesis, Bangor University, 2012. https://research.bangor.ac.uk/portal/en/theses/dialectical-behaviour-therapists-experience-of-young-people-with-features-of-borderline-personality-disorder--a-qualitative-analysis(73cc85c9-1146-451a-86f8-d40d0ccdb3b4).html.

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This thesis examines mental health professionals' responses toward patients diagnosed with Borderline Personality Disorder (BPD) and presents a qualitative study of Dialectical Behaviour Therapists' (DBT) experiences in their work with young people with BPD features. A review of empirical literature regarding emotional, behavioural and attitudinal responses of professionals toward these patients identified a range of negative responses, distinguishable from responses toward patients with other mental health problems. The review highlights the consistency of responses in professionals working i

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Lutz, Vanessa [Verfasser], and Jörn [Akademischer Betreuer] Bennewitz. "Genetic analyses of feather pecking and related behavior traits of laying hens / Vanessa Lutz ; Betreuer: Jörn Bennewitz." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2017. http://d-nb.info/1128211157/34.

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Iffland, Hanna [Verfasser], and Jörn [Akademischer Betreuer] Bennewitz. "Genomic analyses of behavior traits in laying hen lines divergently selected for feather pecking / Hanna Iffland ; Betreuer: Jörn Bennewitz." Hohenheim : Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim, 2021. http://nbn-resolving.de/urn:nbn:de:bsz:100-opus-19395.

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D'AMATO, VINCENZO STEFANO. "Deep Multi Temporal Scale Networks for Human Motion Analysis." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1104759.

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The movement of human beings appears to respond to a complex motor system that contains signals at different hierarchical levels. For example, an action such as ``grasping a glass on a table'' represents a high-level action, but to perform this task, the body needs several motor inputs that include the activation of different joints of the body (shoulder, arm, hand, fingers, etc.). Each of these different joints/muscles have a different size, responsiveness, and precision with a complex non-linearly stratified temporal dimension where every muscle has its temporal scale. Parts such as the

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Lakshmikanth, Anand. "Non-Destructive Evaluation and Mathematical Modeling of Beef Loins Subjected to High Hydrodynamic Pressure Treatment." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28814.

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High hydrodynamic pressure (HDP) treatment is a novel non-thermal technology that improves tenderness in foods by subjecting foods to underwater shock waves. In this study non-destructive and destructive testing methods, along with two mathematical models were explored to predict biomechanical behavior of beef loins subjected to HDP-treament. The first study involved utilizing ultrasound and imaging techniques to predict textural changes in beef loins subjected to HDP-treatment using Warner-Braztler shear force (WBS) scores and texture profile analysis (TPA) features for correlation. Ultrasou

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Varga, Adam. "Identifikace a charakterizace škodlivého chování v grafech chování." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442388.

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Za posledné roky je zaznamenaný nárast prác zahrňujúcich komplexnú detekciu malvéru. Pre potreby zachytenia správania je často vhodné pouziť formát grafov. To je prípad antivírusového programu Avast, ktorého behaviorálny štít deteguje škodlivé správanie a ukladá ich vo forme grafov. Keďže sa jedná o proprietárne riešenie a Avast antivirus pracuje s vlastnou sadou charakterizovaného správania bolo nutné navrhnúť vlastnú metódu detekcie, ktorá bude postavená nad týmito grafmi správania. Táto práca analyzuje grafy správania škodlivého softvéru zachytené behavioralnym štítom antivírusového program

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14

Wu, Burton. "New variational Bayesian approaches for statistical data mining : with applications to profiling and differentiating habitual consumption behaviour of customers in the wireless telecommunication industry." Thesis, Queensland University of Technology, 2011. https://eprints.qut.edu.au/46084/1/Burton_Wu_Thesis.pdf.

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This thesis investigates profiling and differentiating customers through the use of statistical data mining techniques. The business application of our work centres on examining individuals’ seldomly studied yet critical consumption behaviour over an extensive time period within the context of the wireless telecommunication industry; consumption behaviour (as oppose to purchasing behaviour) is behaviour that has been performed so frequently that it become habitual and involves minimal intentions or decision making. Key variables investigated are the activity initialised timestamp and cell towe

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Horne, Shao-Shan, and 洪紹翔. "Hazardous Driver Behavior Analysis Using Pupil Detection and Feature Variation." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/75981916752532070036.

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碩士<br>國立中央大學<br>資訊工程研究所<br>93<br>Traffic accidents occur frequently in modernized society so that the society has to pay a lot of cost. There are more than 60,000 vehicle accidents occurring each year in Taiwan. Among them, over ninety percent of accidents are caused due to the careless of drivers according to the statistical analysis.In this thesis, a surveillance-based system utilizing face detection, tracking, and hazardous status monitoring of drivers is designed. By monitoring the symptoms of non-concentration or fatigue of drivers, a warning signal can be issued in advance so as to preve

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Lin, Chih-ta, and 林志達. "An Efficient Feature Selection and Extraction Analysis for Malware Behavior Classification." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/96799874961707058507.

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博士<br>國立臺灣科技大學<br>電機工程系<br>103<br>The explosive amount of malware continue their threats in network and operating systems. Signature-based method is widely used for detecting malware. Unfortunately, it is unable to determine variant malware on-the-fly. On the hand, behavior-based method can effectively characterize the behaviors of malware. However, it is time-consuming to train and predict for each specific family of malware. We propose a generic and efficient algorithm to classify malware. Our method combines the selection and the extraction of features, which significantly reduces the d

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Figueiredo, Jose Luis Machado de. "Behavior Analysis in Autism Patients." Master's thesis, 2014. http://hdl.handle.net/10316/40384.

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Dissertação de Mestrado Integrado em Engenharia Electrotécnica e de Computadores apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>Esta obra insere-se no projecto de investigação ”Project Hometech”. Este focase num sistema de detecção de anomalias que pode monitorizar e detectar padrões de comportamento de pacientes com autismo. O sistema possibilita a detecção de estereotipias gravadas separadamente em vídeos offline e a previsão de resposta de um paciente a um determinado estímulo. As estereotipias constam numa lista de comportamentos exibidos recentemente ou

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Chang, Tsai-Rong, and 張財榮. "Using Curve Fitting and Spectro-temporal Neural Network for Triggering Feature Analysis and Behavior Modeling of FM Specialized Cells." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/05729366655691773659.

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博士<br>國立成功大學<br>電機工程學系碩博士班<br>93<br>In recent years, Biomedical Informatics has become a new trend of science and technology. Biomedical Informatics is bringing together researchers from bioinformatics, medical informatics and computer science. The principal of this subject is using mathematical computation, statistics and computer analysis for life sciences research. Therefore, their application is very extensively, including gene, medical treatment, medicine and so on. 　In this dissertation, we focus on the auditory cell’s triggering feature analysis and behavior modeling. For triggering fe

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Chen, Yi-Chun, and 陳怡君. "Abnormal Pedestrian Behavior Analysis Using Trajectory Features." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/2t6ny2.

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碩士<br>國立中央大學<br>資訊工程研究所<br>94<br>Due to the fast development of computer and video technologies and the cost-down of capturing devices, surveillance systems are gradually widely applied in our daily life. However, the main function of current surveillance systems only focuses on the recording of video event. The developing of automatic and intelligent surveillance systems can detect, track, recognize and analyze moving objects including the behaviors of objects and the occurring of abnormal events, and then issue warring message automatically. In this thesis, a video surveillance system for ab

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Segalin, Cristina. "A Social Signal Processing Perspective on Computational Aesthetics: Theories and Applications." Doctoral thesis, 2016. http://hdl.handle.net/11562/941657.

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Ogni giorno, siamo esposti a varie immagini e video grazie ai social media, come Facebook, Youtube, Flickr, Instagram e altri. In questo scenario, l'esprimere preferenze per un dato contenuto multimediale (per esempio con l'uso del meccanismo di ``like'') è diventato pervasivo e imponente, diventando un fenomeno di massa sociale. Uno dei principali risultati nelle scienze cognitive è che i processi automatici di cui non siamo a conoscenza, modellano, per la maggior parte, la nostra percezione dell'ambiente. Il fenomeno si applica non solo al mondo reale, ma anche ai dati multimediali che consu

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Li, Wei-chiau, and 李偉僑. "Human Behavior Analysis Using Multiple Features and AdaBoosting." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/41181196990445088723.

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碩士<br>國立中正大學<br>資訊工程所<br>96<br>Most human behavior systems nowadays use single feature or single classifier algorithm to do human behavior analysis. But if we use only one feature to analyze human behavior, many analysis can’t be do well in many case. For example, if we only use shape silhouette information to do human behavior analysis, the change information between frames in continue time doesn’t be considered in analysis procedure. And we also can’t realize what is the best analysis algorithm in some specific environment. In this paper, we use AdaBoosting based algorithm, with multiple fea

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Mo, Hao-Cheng, and 莫皓程. "Human Behavior Analysis Using Multiple Features and Multicategory Support Vector Machine." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/16070189381014531648.

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碩士<br>國立中正大學<br>資訊工程所<br>96<br>Existing human action recognition approaches can be classified into two categories: 2D based and 3D based. 3D based approaches may have high accuracy, whereas they use a lot of parameters to build model. 2D based approaches may have lower accuracy, whereas they are simple with low computational complexity. Thus, 2D based approaches are employed in most video surveillance systems. In this study, a human behavior analysis system using multiple features and a multicategory support vector machine is proposed. In the proposed system, three kinds of features, namely,

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23

Huang, Pei-Chung, and 黃培忠. "A Behavior Analysis System Using Human Silhouette Features and Static Posture Classification." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/02170160128046564070.

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碩士<br>中原大學<br>資訊工程研究所<br>96<br>With the advance of technology, the surveillance system has been widely used in many environments. Computer vision and multimedia techniques make feasible the development of new and “smart” surveillance systems that are different from traditional systems with only the recording function. In recent research, the surveillance system has been designed to automatically detect the location of human in video and to analyze the human behavior. In this paper, the objective is to identify and track the location of human, to match various static posture states in human beh

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Du, Jiahua. "Advanced Review Helpfulness Modeling." Thesis, 2020. https://vuir.vu.edu.au/41279/.

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In recent years, online shopping has gained immense popularity due to its feedback mechanism. By composing online comments, previous buyers share opinions and expe-riences regarding the items that they have purchased. These user-generated reviews, in turn, provide valuable information to potential customers in regards to deciding which products to purchase. The reviews also help vendors understand customer needs and improve product quality. Yet despite these benefits, the unprecedentedly rapid growth of user-generated content has overwhelmed human ability in online review scrutiny. On-line rev

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(10637738), Catharine Lory. "Restricted and Repetitive Behavior in Autism Spectrum Disorder: An Examination of Functional Subtypes and Neurophysiological Features." Thesis, 2021.

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<p>Restricted and repetitive behavior (RRB) is a core feature of autism spectrum disorder (ASD). Research suggests that the severity of RRB may be influenced by both environmental variables (e.g., absence of sensory stimulation input) and neurophysiological activity within the body (e.g., atypical regulatory capacity of the autonomic nervous system). Substantial research efforts have been devoted to the assessment of factors that influence the occurrence of RRB in individuals with ASD, which have led to the development of assessment methodologies, such as functional analysis, to identify speci

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Lin, Si-Cih, and 林希慈. "Analysis of behavioral features of VCP mutant mice, a mouse model for autism." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/rx26qh.

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碩士<br>國立中央大學<br>生命科學系<br>107<br>Valosin-containing protein (VCP, also known as p97) belongs to the family of type Ⅱ ATPase associated with variety of cellular activities (AAA). It functions as a chaperone involved in diverse cellular processes, including endoplasmic reticulum (ER) – associated protein degradation (ERAD), ubiquitin-proteasome system (UPS)-mediated protein degradation, ER and Golgi membrane fusion process. Mutations in the VCP gene cause multisystem disorders, such as inclusion body myopathy associated with Paget’s disease of bone and frontotemporal dementia (IBMPFD), amyloid la

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"Detecting Organizational Accounts from Twitter Based on Network and Behavioral Factors." Master's thesis, 2017. http://hdl.handle.net/2286/R.I.45480.

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abstract: With the rise of Online Social Networks (OSN) in the last decade, social network analysis has become a crucial research topic. The OSN graphs have unique properties that distinguish them from other types of graphs. In this thesis, five month Tweet corpus collected from Bangladesh - between June 2016 and October 2016 is analyzed, in order to detect accounts that belong to groups. These groups consist of official and non-official twitter handles of political organizations and NGOs in Bangladesh. A set of network, temporal, spatial and behavioral features are proposed to discriminate be

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Weidenbacher, Ulrich [Verfasser]. "Neural mechanisms of feature extraction for the analysis of shape and behavioral patterns / vorgelegt von Ulrich Weidenbacher." 2010. http://d-nb.info/1010641018/34.

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Reischl, Ricarda Maria. "Implementation of the repairability index in the smartphone industry : an analysis on willingness to pay, perceived quality and purchase intention." Master's thesis, 2021. http://hdl.handle.net/10400.14/35760.

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Smartphones are important means of communication that are rapidly advancing in technology. Its rather short replacement cycles continue to drive a growing volume of electronic waste. The introduction of a Repairability Index, which provides information on the reparability of an electrical device, is an attempt to extend useful life. By influencing consumers' purchase decisions, pressure is built up on manufacturers to enable their equipment to be repaired more cost-effectively and to provide replacement parts. The objective of this study is to investigate the influence of the Repairability Ind

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