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Dissertations / Theses on the topic 'Combined Learning'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Paulus, Kyle. "Combined CALPHAD and Machine Learning for Property Modelling." Thesis, KTH, Materialvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278149.

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Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. In this assessment, two material informatics methodologies are used to predict material properties in steels and nickel based superalloys using this approach. Martensite start temperature and sigma phase amount as a function of input composition has been modelled with

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2

Olsen, Jennifer. "Orchestrating Combined Collaborative and Individual Learning in the Classroom." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1000.

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In the classroom, teachers make use of different combinations of social planes (e.g., individual, collaborative) to support learning. However, little is known about the complementary strengths of individual and collaborative learning or how to combine them so that they are more effective than either social plane alone. One roadblock to this investigation is an ability to orchestrate, or manage, more complex, but theoretically effective, combinations of collaborative and individual learning in the classroom. Prior research has created orchestration tools that support the planning and real-time

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Ko, E. Soon. "Product Matching through Multimodal Image and Text Combined Similarity Matching." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301306.

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Product matching in e-commerce is an area that faces more and more challenges with growth in the e-commerce marketplace as well as variation in the quality of data available online for each product. Product matching for e-commerce provides competitive possibilities for vendors and flexibility for customers by identifying identical products from different sources. Traditional methods in product matching are often conducted through rule-based methods and methods tackling the issue through machine learning usually do so through unimodal systems. Moreover, existing methods would tackle the issue t

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Bhatt, Dhruv. "Economic Dispatch of the Combined Cycle Power Plant Using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266110.

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Combined Cycle Power Plant (CCPP)s play a key role in modern powersystem due to their lesser investment cost, lower project executiontime, and higher operational flexibility compared to other conventionalgenerating assets. The nature of generation system is changing withever increasing penetration of the renewable energy resources. Whatwas once a clearly defined generation, transmission, and distributionflow is shifting towards fluctuating distribution generation. Because ofvariation in energy production from the renewable energy resources,CCPP are increasingly required to vary their load leve

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Thornton, Chris. "Auto-WEKA : combined selection and hyperparameter optimization of supervised machine learning algorithms." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/46177.

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Many different machine learning algorithms exist; taking into account each algorithm's set of hyperparameters, there is a staggeringly large number of possible choices. This project considers the problem of simultaneously selecting a learning algorithm and setting its hyperparameters. Previous works attack these issues separately, but this problem can be addressed by a fully automated approach, in particular by leveraging recent innovations in Bayesian optimization. The WEKA software package provides an implementation for a number of feature selection and supervised machine learning algorithms

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Desypris, Georgios A. "Enhancement of learning process in web-based courses using combined media components." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FDesypris.pdf.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2002.<br>Thesis advisor(s): Rudolph Darken, Anthony Ciavarelli. Includes bibliographical references (p. 85-86). Also available online.

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Lombard, Valentin. "Geometric deep manifold learning combined with natural language processing for protein movies." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS379.

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Les protéines jouent un rôle central dans les processus biologiques, et comprendre comment elles se déforment et se déplacent est essentiel pour élucider leurs mécanismes fonctionnels. Malgré les récentes avancées dans les technologies à haut débit, qui ont élargi nos connaissances sur les structures protéiques, la prédiction précise de leurs différents états conformationnels et mouvements reste un défi majeur. Nous présentons deux approches complémentaires pour relever le défi de la compréhension et de la prédiction de l'ensemble de la variabilité conformationnelle des protéines. La première

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Agarwal, Akrita. "Exploring the Noise Resilience of Combined Sturges Algorithm." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070335.

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9

Mazzitelli, Carla. "Aprendizado motor em escolares: comparação entre prática mental, prática física e prática combinada." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/47/47135/tde-28062013-142756/.

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A compreensão do processo de aprendizagem motora é de real importância para a atividade fisioterapêutica, visto que as abordagens e técnicas visam à mudança e o aperfeiçoamento de uma atividade motora ou mesmo a aquisição de uma nova habilidade. Neste processo a prática realizada tem implicação direta na aprendizagem motora. Objetivo: comparar os efeitos da prática combinada (iniciada pelo treino mental, seguido pelo treino físico, com distribuição proporcionada entre os mesmos), com os efeitos da prática mental e física isoladas, sobre aquisição, retenção, transferência inter tarefa e inter m

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Carls, Fredrik. "Evaluation of machine learning methods for anomaly detection in combined heat and power plant." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255006.

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In the hope to increase the detection rate of faults in combined heat and power plant boilers thus lowering unplanned maintenance three machine learning models are constructed and evaluated. The algorithms; k-Nearest Neighbor, One-Class Support Vector Machine, and Auto-encoder have a proven track record in research for anomaly detection, but are relatively unexplored for industrial applications such as this one due to the difficulty in collecting non-artificial labeled data in the field.The baseline versions of the k-Nearest Neighbor and Auto-encoder performed very similarly. Nevertheless, the

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Green, Michael. "Motivation and Learning of Non-Traditional Computing Education Students in a Web-Based Combined Laboratory." Thesis, Nova Southeastern University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3715421.

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<p> Hands-on experiential learning activities are an important component of computing education disciplines. Laboratory environments provide learner access to real world equipment for completing experiments. Local campus facilities are commonly used to host laboratory classes. While campus facilities afford hands-on experience with real equipment high maintenance costs, restricted access, and limited flexibility diminish laboratory effectiveness. Web-based simulation and remote laboratory formats have emerged as low cost options, which allow open access and learner control. Simulation lacks fi

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Faqeehi, Muhammad Ali. "Exploring the effects of combined strategies on English vocabulary learning among Saudi Arabian university freshmen." Virtual Press, 2003. http://liblink.bsu.edu/uhtbin/catkey/1263924.

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Green, Michael Jesse. "Motivation and Learning of Non-Traditional Computing Education Students in a Web-based Combined Laboratory." NSUWorks, 2015. http://nsuworks.nova.edu/gscis_etd/57.

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Hands-on experiential learning activities are an important component of computing education disciplines. Laboratory environments provide learner access to real world equipment for completing experiments. Local campus facilities are commonly used to host laboratory classes. While campus facilities afford hands-on experience with real equipment high maintenance costs, restricted access, and limited flexibility diminish laboratory effectiveness. Web-based simulation and remote laboratory formats have emerged as low cost options, which allow open access and learner control. Simulation lacks fideli

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West, Brianna Rose. "Hyperspectral imagery combined with machine learning to differentiate genetically modified (GM) and non-GM canola." Thesis, West, Brianna Rose (2022) Hyperspectral imagery combined with machine learning to differentiate genetically modified (GM) and non-GM canola. Masters by Research thesis, Murdoch University, 2022. https://researchrepository.murdoch.edu.au/id/eprint/64579/.

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Canola, also known as rapeseed (Brassica napus L.), is an oilseed that produces a healthy food-grade oil, canola meal by-product, and biofuel. It is the fourth most grown grain in Australia. Genetically modified (GM) canola currently represents approximately twenty percent of national canola production; hence, with clashing public and industry perceptions of genetically modified organisms (GMOs), transparency and traceability must be enabled throughout the supply chain to protect markets and relationships with consumers. GM canola must not cross-contaminate non-GM canola as our largest export

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Grancharova, Mila, and Michaela Jangefalk. "Comparative Study of the Combined Performance of Learning Algorithms and Preprocessing Techniques for Text Classification." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241435.

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With the development in the area of machine learning, society has become more dependent on applications that build on machine learning techniques. Despite this, there are extensive classification tasks which are still performed by humans. This is time costly and often results in errors. One application in machine learning is text classification which has been researched a lot the past twenty years. Text classification tasks can be automated through the machine learning technique supervised learning which can lead to increased performance compared to manual classification. When handling text da

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Tumati, Saini. "A Combined Approach to Handle Multi-class Imbalanced Data and to Adapt Concept Drifts using Machine Learning." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1623240328088387.

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Gupte, Sanket. "A model for strategic bidding in combined transmission and wholesale energy markets." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000391.

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Challa, Harshitha. "Multivariate Time-Series Data Requirements in Deep Learning Models." University of Cincinnati / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1626356774254081.

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Babayan, Bénédicte. "Unraveling the neural circuitry of sequence-based navigation using a combined fos imaging and computational approach." Thesis, Paris 5, 2014. http://www.theses.fr/2014PA05T059/document.

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La navigation spatiale est une fonction complexe qui nécessite de combiner des informations sur l’environnement et notre mouvement propre pour construire une représentation du monde et trouver le chemin le plus direct vers notre but. Cette intégration multimodale suggère qu’un large réseau de structures corticales et sous-corticales interagit avec l’hippocampe, structure clé de la navigation. Je me suis concentrée chez la souris sur la navigation de type séquence (ou stratégie égocentrique séquentielle) qui repose sur l’organisation temporelle de mouvements associés à des points de choix spati

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Hassan, Mohamed Elhafiz. "Power Plant Operation Optimization : Unit Commitment of Combined Cycle Power Plants Using Machine Learning and MILP." Thesis, mohamed-ahmed@siemens.com, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395304.

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In modern days electric power systems, the penetration of renewable resources and the introduction of free market principles have led to new challenges facing the power producers and regulators. Renewable production is intermittent which leads to fluctuations in the grid and requires more control for regulators, and the free market principle raises the challenge for power plant producers to operate their plants in the most profitable way given the fluctuating prices. Those problems are addressed in the literature as the Economic Dispatch, and they have been discussed from both regulator and pr

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Bennett, Ronald W. "A comparison of combined and separate text-picture combinations on recall and application of information." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq25822.pdf.

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Linsdell, Meghan Ashley. "Continuous theta burst stimulation combined with skilled motor practice after stroke : effects on implicit learning and electroneurophysiology." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/30475.

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After stroke, cortical excitability is decreased in the ipsilesional primary motor cortex and increased in the contralesional primary motor cortex. This abnormal pattern of excitability detrimentally affects performance with the hemiparetic arm. Short lasting improvements in motor performance occur following repetitive transcranial magnetic stimulation (rTMS) over the contralesional hemisphere after stroke; however, no work has considered the impact of pairing rTMS with skilled motor practice over multiple days on motor learning, hemiparetic arm function, or electroneurophysiology in the brain

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Kubacki, Jens [Verfasser]. "Learning and detecting objects in combined range and color images based on local feature frames / Jens Kubacki." Bielefeld : Universitätsbibliothek Bielefeld, 2012. http://d-nb.info/1022199129/34.

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Ansved, Linn, and Karin Eklann. "Exploring ways to convey medical information during digital triage : A combined user research and machine learning approach." Thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-386420.

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The aim of this project was to investigate what information is critical to convey to nurses when performing digital triage. In addition, the project aimed to investigate how such information could be visualized. This was done through a combined user research and machine learning approach, which enabled for a more nuanced and thorough investigation compared to only making use of one of the two fields. There is sparse research investigating how digital triaging can be improved and made more efficient. Therefore, this study has contributed with new and relevant insights. Three machine learning al

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Taylor, Carol A. "The Effects of a Combined Mathematics Content/Methods Course Involving Learning Cycles on Preservice Elementary Teachers' Beliefs about the Nature, Teaching and Learning of Mathematics." Diss., Temple University Libraries, 2009. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/22535.

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CITE/Mathematics and Science Education<br>Ed.D.<br>The purpose of this study was to determine whether a one-semester combined mathematics content/methods course based on Simon's (1994) Learning Cycle framework for the mathematical preparation of preservice elementary teachers was more effective at aligning preservice teachers' beliefs with the philosophy of the Standards documents (NCTM, 1989, 1991, 1995, 2000) and other reform literature than another content/methods course. While the six-cycled Learning Cycles framework has been used in separate content and methods courses (Simon, 1995), it h

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Tou, Li Esther. "Joy of reading : a combined approach to reading acquisition in special classes - children with learning disabilities in Israel." Thesis, Anglia Ruskin University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323521.

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AWAN, ZUBAIR ANWAR. "De novo liquid biopsy and radio genomic diagnostic approach with combined deep learning artificial neural networks for NSCLC." Doctoral thesis, Università degli Studi di Palermo, 2022. https://hdl.handle.net/10447/564144.

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Each year, the mortality rate and incidence of non-small cell lung cancer (NSCLC) are dramatically increasing. The introduction of liquid biopsy in the clinical practice of NSCLC has completely revolutionized the approach to such neoplasm since is generally detected through complex and invasive procedures and unfortunately at advanced stages. The importance and innovation of liquid biopsy are linked with the possibility of cancer detection at every stage, adjuvant treatment, resistance genotyping, systematic initiation of treatment, minimal residual disease, early detection of relapse, a

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Dahab, Sarah. "An approach to measuring software systems using new combined metrics of complex test." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLL015/document.

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La plupart des métriques de qualité logicielle mesurables sont actuellement basées sur des mesures bas niveau, telles que la complexité cyclomatique, le nombre de lignes de commentaires ou le nombre de blocs dupliqués. De même, la qualité de l'ingénierie logicielle est davantage liée à des facteurs techniques ou de gestion, et devrait fournir des indicateurs utiles pour les exigences de qualité. Actuellement, l'évaluation de ces exigences de qualité n'est pas automatisée, elle n'est pas validée empiriquement dans des contextes réels et l'évaluation est définie sans tenir compte des principes d

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Patterson, Alexis A. "Effectiveness of combined stress control and behaviour management sessions for parents who have a child with a learning disability." Thesis, University of Edinburgh, 2010. http://hdl.handle.net/1842/5618.

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Objectives: There is body of evidence that suggests parents who have a child with a learning disability experience increased stress levels. In addition, research has found a bidirectional relationship between parental stress and child challenging behaviour. Other investigations in this area have found parental stress to be a significant predictor of intervention outcome, and it has been suggested that it should be targeted prior to any child focused intervention. The aim of the current study is to examine the effectiveness of an intervention that targets both parental stress and child challeng

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Tam, Janice. "Fostering inter-ethnic relations at an urban school, is knowledge forum combined with face-to-face cooperative learning superior to face-to-face cooperative learning alone?" Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58816.pdf.

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Dahab, Sarah. "An approach to measuring software systems using new combined metrics of complex test." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLL015.

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La plupart des métriques de qualité logicielle mesurables sont actuellement basées sur des mesures bas niveau, telles que la complexité cyclomatique, le nombre de lignes de commentaires ou le nombre de blocs dupliqués. De même, la qualité de l'ingénierie logicielle est davantage liée à des facteurs techniques ou de gestion, et devrait fournir des indicateurs utiles pour les exigences de qualité. Actuellement, l'évaluation de ces exigences de qualité n'est pas automatisée, elle n'est pas validée empiriquement dans des contextes réels et l'évaluation est définie sans tenir compte des principes d

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Hanson, Coral Kathleen. "The impact of enrollment in a combined reading and learning strategies course on exceptional students' FCAT Reading scale scores." ScholarWorks, 2009. https://scholarworks.waldenu.edu/dissertations/658.

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Previous research has shown that because remediation and support replace required and career-defining courses, exceptional students fall behind, ill equipped to act in society as autonomous adults. No Child Left Behind requires reading proficiency, so students failing standardized tests must take remedial courses. Individualized education plans often require support courses. However, there remains an important gap in the literature regarding the usefulness of reading, standardized testing, and leadership research to solve this problem. A class combining reading and support for students with ex

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Rouhafzay, Ghazal. "3D Object Representation and Recognition Based on Biologically Inspired Combined Use of Visual and Tactile Data." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42122.

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Recent research makes use of biologically inspired computation and artificial intelligence as efficient means to solve real-world problems. Humans show a significant performance in extracting and interpreting visual information. In the cases where visual data is not available, or, for example, if it fails to provide comprehensive information due to occlusions, tactile exploration assists in the interpretation and better understanding of the environment. This cooperation between human senses can serve as an inspiration to embed a higher level of intelligence in computational models. In the co

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Weese, Joshua L. "A convolutive model for polyphonic instrument identification and pitch detection using combined classification." Thesis, Kansas State University, 2013. http://hdl.handle.net/2097/15599.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>Pitch detection and instrument identification can be achieved with relatively high accuracy when considering monophonic signals in music; however, accurately classifying polyphonic signals in music remains an unsolved research problem. Pitch and instrument classification is a subset of Music Information Retrieval (MIR) and automatic music transcription, both having numerous research and real-world applications. Several areas of research are covered in this thesis, including the fast Fourier transform, on

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Antony, Bhavna Josephine. "A combined machine-learning and graph-based framework for the 3-D automated segmentation of retinal structures in SD-OCT images." Diss., University of Iowa, 2013. https://ir.uiowa.edu/etd/4944.

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Spectral-domain optical coherence tomography (SD-OCT) is a non-invasive imaging modality that allows for the quantitative study of retinal structures. SD-OCT has begun to find widespread use in the diagnosis and management of various ocular diseases. While commercial scanners provide limited analysis of a small number of retinal layers, the automated segmentation of retinal layers and other structures within these volumetric images is quite a challenging problem, especially in the presence of disease-induced changes. The incorporation of a priori information, ranging from qualitative assessmen

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Sousa, Rafael Nascimento. "The use of slides editor combined with chemistry experimental practice as an educational tool to maximize the teaching and learning process of electrochemical." Universidade Federal do CearÃ, 2015. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=16908.

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No mundo pÃs-moderno que Ã influenciado constantemente pela tecnologia, a educaÃÃo e consequentemente o processo de ensino e aprendizagem invariavelmente sofrerÃ mudanÃas. Logo, torna-se necessÃrio a concepÃÃo de estratÃgias didÃticas alternativas, procurando-se estabelecer vinculaÃÃes entre o uso pedagÃgico do computador e o laboratÃrio de prÃticas cientÃficas, como ferramentas de apoio pedagÃgico ao desenvolvimento do processo de ensino e aprendizagem. A presente pesquisa focou-se na concepÃÃo de estratÃgias de ensino e aprendizagem atravÃs da realizaÃÃo de sessÃes didÃticas de QuÃmica media

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Lu, Han. "Homeostatic structural plasticity of neuronal connectivity in response to external stimulation : a combined study using computer simulations and in vivo experiments." Electronic Thesis or Diss., Strasbourg, 2020. http://www.theses.fr/2020STRAJ059.

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Les neurones pyramidaux sont des unités hautement plastiques des circuits neuronaux. Les boutons axonaux et les épines dendritiques forment ou brisentcontinuellement les synapses. La règle d'Hebb, "les neurones qui s’excitent ensemble, se connectent ensemble", a d'abord été proposée pour expliquer la plasticité synaptique. Cependant, de plus en plus d'études suggèrent que les neurones maintiennent leur fréquence de décharge physiologique par régulation homéostasique. De récentes études montrent que le modèle de plasticité structurelle homéostatique (PSH), combinant à la fois la plasticité stru

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MASTRO, PIETRO. "Innovative Techniques for the Retrieval of Earth’s Surface and Atmosphere Geophysical Parameters: Spaceborne Infrared/Microwave Combined Analyses." Doctoral thesis, Università degli studi della Basilicata, 2023. https://hdl.handle.net/11563/162986.

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With the advent of the first satellites for Earth Observation: Landsat-1 in July 1972 and ERS-1 in May 1991, the discipline of environmental remote sensing has become, over time, increasingly fundamental for the study of phenomena characterizing the planet Earth. The goal of environmental remote sensing is to perform detailed analyses and to monitor the temporal evolution of different physical phenomena, exploiting the mechanisms of interaction between the objects that are present in an observed scene and the electromagnetic radiation detected by sensors, placed at a distance from the scene, o

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Guin, Agneev. "Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset." Thesis, KTH, Robotik, perception och lärande, RPL, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-222021.

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Autonomous vehicles face various challenges under difficult terrain conditions such as marginally rural or back-country roads, due to the lack of lane information, road signs or traffic signals. In this thesis, we investigate a novel approach of using Deep Neural Networks (DNNs) to classify off-road surfaces into the types of terrains with the aim of supporting autonomous navigation in unstructured environments. For example, off-road surfaces can be classified as asphalt, gravel, grass, mud, snow, etc. Images from the camera mounted on a mining truck were used to perform semantic segmentation

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Fankhauser, Craig Charles. "A multi-sensory, study strategies and cooperative group instructional approach combined to teach American history to mildly disabled and non disabled adolescents." CSUSB ScholarWorks, 1991. https://scholarworks.lib.csusb.edu/etd-project/577.

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Tsai, Po-Yen, and 蔡柏彥. "Teaching Performance Evaluation for Enhancing Multimedia Learning Combined with Learning Path and Cued Retrospective Report." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/25121566029948286483.

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碩士<br>國立東華大學<br>資訊工程學系<br>101<br>Many researches indicated that the cued retrospective reporting can increase students’ learning performance, and it is more suitable for the novice. This work aims at establishing a multimedia teaching assistant system combined with cued retrospective reporting provided with learning path to prompt students towards self-learning. With this automatic learning assistant method, we can not only alleviate the teaching load of teachers, but also increase the learning performance of students. Recently, e-learning becomes popular, but most is lack of the mechanism of

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Nag, Abhikesh. "Combined generative-discriminative learning for object recognition using local image descriptors." 2008. http://etda.libraries.psu.edu/theses/approved/PSUonlyIndex/ETD-2506/index.html.

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Chen, Shu-ling, and 陳淑玲. "Action Research on Elementary School Senior Students’ Learning Attitude Towards Music Learning Combined With Creative Drama." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/83336792332638055461.

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碩士<br>國立臺南大學<br>國民教育研究所<br>92<br>The purpose of this thesis is to investigate the influence of creative drama, when applied to music teaching and learning, upon elementary school senior students’ learning attitude. The author applied action research to investigate the teaching gist and techniques of creative drama, the practical methods when applied to music teaching and learning, and the ways students learned. Subjects were this author’s students, one class from Grade 5, the other from Grade 6. This investigation lasted for 24 classes. A simple research in quantity was added to help the a

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江子揚, Chiang Tzu-Yang, and 江子揚. "Course Design for Elementary School about Woodworking Learning Combined with Environmental Education." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/rp32g4.

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碩士<br>國立屏東科技大學<br>木材科學與設計系所<br>105<br>This study is about wood education, which is based on participating in community building, and being taken seriously about environmental education. Therefore, we expect to establish students' environmental awareness and attitude by wood education, and produce culture link with their hometown. For this reason, we conducted teaching experiments in two sixth grade class in Sing-Hua Elementary School. This study has applied the observation method to describe the progress of the courses, and the questionnaire analysis to compare the differences between original

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Chiu, Li-yu, and 邱俐瑜. "Inquiry learning combined with a situated educational computer game for improving students' learning performance in financial courses." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/45587281257010052137.

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碩士<br>國立臺灣科技大學<br>數位學習與教育研究所<br>102<br>Inquiry learning could enhance students' active learning attitude and higher-order thinking. But for situational content, due to the lack of situation, it's difficult for students to take out to use and solve problems in real life. With a quasi-experiment, the study attempts to applied the system to a financial course. The subjects were assigned to experimental group and control group. Experimental group used inquiry learning combined with a situated educational computer game, and control group used inquiry learning combined with online search e

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WANG, YE-JHAN, and 王葉展. "A Study of Image Recognition Using Combined Convolutional Neural Networks and Transfer Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/kxb7sv.

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碩士<br>國立高雄科技大學<br>資訊管理系<br>107<br>With the growth of GPU performance, more and more people are investing in deep learning. At the same time, due to ImageNet's image recognition competition, many deep network models have been developed. This study explores LeNet-5, AlexNet, VGG16, ResNet50, and Inception. V4, DenseNet121 and other common models and combined models for the assessment of the ability to identify. Three datasets of leaf disease (PlantVillage Disease Leaf), fish (Fish Recognition Ground-Truth data) and personal collection of food materials (Taiwanese foods and drinks) are applied in

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Esposito, Andrea. "Combined polymer physics and machine learning approach to investigate the chromosome 3D structure." Tesi di dottorato, 2020. http://www.fedoa.unina.it/12999/1/Esposito_Andrea_32.pdf.

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The spatial organization of the chromatin in the nucleus is known to play an important role in transcriptional regulation of genes in many organisms. However, the comprehension of genome architecture and of the molecular mechanisms shaping its structure, represents a challenging problem which remains not fully understood. During the last two decades, the development of new technologies has allowed to investigate the three-dimensional spatial folding of chromosomes in a quantitative way. Thanks to these technologies, we now know that chromosomes are characterized by a complex, non-random, 3D or

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CHU, CHIEN-HAO, and 朱健豪. "A Study of PPT Presentation Teaching Combined with Cooperative Learning on the Learning Effectiveness for the Ninth Grade Students." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/snfw6c.

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碩士<br>國立高雄科技大學<br>人力資源發展系<br>107<br>The main purpose of this study is to compare the impact of the "PPT presentation teaching combined with cooperative learning" and "PPT presentation teaching" on the achievement of mathematics learning and mathematics learning attitudes for the ninth grade students. This study used a quasi-experimental study of action research. The study was conducted in two classes in the ninth grade of a country in a remote area of Kaohsiung City, with a total of 47 students. With the first summary assessment as the watershed, both classes used the PPT presentation teaching

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CHANG, HUI-YUN, and 張慧韻. "Effect of Mathematical Game Combined with Polya Strategy on Elementary School Students' Learning Performance." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/e337q3.

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碩士<br>國立臺北教育大學<br>數學暨資訊教育學系(含數學教育碩士班)<br>106<br>The two-step word problem is the focus of the lower-level student's learning, and is also the basis for learning multi-step text problems later. However, to solve the two-step word problem requires more integration of the problem, which often leads to students’ learning load. Scholars believe that mathematics learning in primary schools should properly learn “how to solve problems.” With the advancement of information technology, many studies have pointed out that digital game-based learning has great benefits for learning effectiveness, but it s

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Wei-Hsiang-Wang and 王韋翔. "Deep learning combined with genetic algorithm for the life cycle prediction of game Apps." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4v7evy.

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碩士<br>元智大學<br>資訊管理學系<br>106<br>Hardware development has led to the growth of deep learning. In recent years, deep learning is popular in many field, especially in speech recognition and image recognition. This study retrieves comments from the web and convert it into meaningful information by using text mining techniques. Then use deep learning to predict the vertices and valleys of the game life cycle of Google Play, and compare the results with traditional machine learning. Finally, combine convolutional neural networks and feature extraction of genetic algorithm to reduce the amount of comp

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