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Data publikacji: 11 września 2023

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1

Andersen, Linda, and Philip Andersson. "Deep Learning Approach for Diabetic Retinopathy Grading with Transfer Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279981.

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Diabetic retinopathy (DR) is a complication of diabetes and is a disease that affects the eyes. It is one of the leading causes of blindness in the Western world. As the number of people with diabetes grows globally, so does the number of people affected by diabetic retinopathy. This demand requires that better and more effective resources are developed in order to discover the disease in an early stage which is key to preventing that the disease progresses into more serious stages which ultimately could lead to blindness, and streamline further treatment of the disease. However, traditional m

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Xue, Yongjian. "Dynamic Transfer Learning for One-class Classification : a Multi-task Learning Approach." Thesis, Troyes, 2018. http://www.theses.fr/2018TROY0006.

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Le but de cette thèse est de minimiser la perte de performance d'un système de détection lorsqu'il rencontre un changement de distribution de données à la suite d’un événement connu (maintenance, ajout de capteur etc.). L'idée est d'utiliser l'approche d'apprentissage par transfert pour exploiter l'information apprise avant l’événement pour adapter le détecteur au système modifié. Un modèle d'apprentissage multitâche est proposé pour résoudre ce problème. Il utilise un paramètre pour équilibrer la quantité d'informations apportées par l'ancien système par rapport au nouveau. Ce modèle est form

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Severan, Debra Devillier. "A Qualitative Approach to Transfer of Training for Managers in Leadership Development." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7570.

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Learning and development (L&D) professionals in a Fortune 500 company were unable to determine whether managers who completed leadership development courses were transferring what they learned to their work practices. The purpose of this qualitative single instrumental case study was to uncover the factors that accelerated or impeded the transfer of training for employees in the workplace. The conceptual framework was social cognitive learning theory with emphasis on the triadic reciprocal causation model. Guiding questions were used to explore 2 areas: (a) how managers described their prepare

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Wu, Michael. "Transfer Learning Approach to Powder Bed Fusion Additive Manufacturing Defect Detection." DigitalCommons@CalPoly, 2021. https://digitalcommons.calpoly.edu/theses/2324.

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Laser powder bed fusion (LPBF) remains a predominately open-loop additive manufacturing process with minimal in-situ quality and process control. Some machines feature optical monitoring systems but lack automated analytical capabilities for real-time defect detection. Recent advances in machine learning (ML) and convolutional neural networks (CNN) present compelling solutions to analyze images in real-time and to develop in-situ monitoring. Approximately 30,000 selective laser melting (SLM) build images from 31 previous builds are gathered and labeled as either “okay” or “defect”. Then, 14 op

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Węckowska, Dagmara Maria. "Learning the ropes of the commercialisation of academic research : a practice-based approach to learning in knowledge transfer offices." Thesis, University of Sussex, 2013. http://sro.sussex.ac.uk/id/eprint/45183/.

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Exploitation of the knowledge generated by university research can bring social and economic benefits; thus, knowledge transfer between universities and industry is an important aspect of public policy. In many countries, including the United Kingdom (UK), universities have been developing the capacity to support the commercialisation of publicly funded research, typically by setting up centralised Knowledge Transfer Offices (KTOs). Previous studies have revealed that KTOs need a wide range of abilities to support the commercialisation of academic research, but our understanding of how these a

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Allworth, James William. "A Machine Learning Approach to Space Debris Characterisation and Classification using Ground Based Optical Observations." Thesis, The University of Sydney, 2022. https://hdl.handle.net/2123/29185.

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Space debris is becoming an increasingly prevalent issue through a combination of the recent rise in the accessibility of space and the difficulty in actively removing space debris from orbit. The high relative velocity between orbital objects and the difficulty in maintaining their state, results in space debris posing a significant collision risk to active satellites. Risk mitigation strategies rely on space situational awareness, which focuses on tracking space objects and predicting their future states to then inform satellite operators of potential future conjunctions. However, the accura

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Lopez, Lira Arjona Alfonso. "Inter-firm knowledge transfer and experiential learning| A business sustainability approach on SME's absorptive capacity." Thesis, Instituto Tecnologico y de Estudios Superiores de Monterrey (Mexico), 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=3570884.

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<p>In emerging economies, Small and Medium-Sized Enterprises (SMEs) are threatened by continuous political and economic changes. In such uncertain environments, knowledge is the distinctive factor for the achievement of a competitive advantage. However, limited funds and pressure from competitors force SMEs to seek for external sources of knowledge. </p><p> The Multinational Corporation (MNC) represents an alternative for business sustainability within the value chain, including both suppliers and clients. In the aim for pursuing such endeavor, a conceptual framework including inter-firm kno

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Söderdahl, Fabian. "A Cross-Validation Approach to Knowledge Transfer for SVM Models in the Learning Using Privileged Information Paradigm." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385378.

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The learning using privileged information paradigm has allowed support vector machine models to incorporate privileged information, variables available in the training set but not in the test set, to improve predictive ability. The consequent introduction of the knowledge transfer method has enabled a practical application of support vector machine models utilizing privileged information. This thesis describes a modified knowledge transfer method inspired by cross-validation, which unlike the current standard knowledge transfer method does not create the knowledge transfer function and the app

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Kraft, Erin. "Planning, Promoting and Assessing Social Learning in Sport: A Landscapes of Practice Approach." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42009.

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In recent years, there has been an increase in women securing leadership positions across Canadian sport. However, when compared with their male counterparts, there continues to be an imbalance of women in these roles. The purpose of this doctoral dissertation was to evaluate a social learning initiative implemented in the province of Alberta to address these existing gender disparities by increasing gender equity, leadership development/diversity, and knowledge transfer across sport systems. The Alberta Women in Sport Leadership Impact Program (AWiSL) was framed using Wenger’s (1998) concept

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Craig, Malcolm. "Factors that influence the receptivity to fault diagnostic learning when a systems approach is applied : a technical transfer study." Thesis, Cranfield University, 1992. http://hdl.handle.net/1826/4153.

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This thesis is concerned with receptivity and response encountered at different levels within organisations when a novel approach to the learning of fault diagnosis skills is introduced. Essentially, the work involved the transfer of a learning technology from research and development on the one hand to the workplace on the other. With only a few exceptions, previous research had taken a highly focused, machinecentred view of fault diagnosis. The same view has been adopted towards the limited range of training that is currently offered in this subject. The overall aim here was to introduce a h

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11

Chen, Yinlin. "A High-quality Digital Library Supporting Computing Education: The Ensemble Approach." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/78750.

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Educational Digital Libraries (DLs) are complex information systems which are designed to support individuals' information needs and information seeking behavior. To have a broad impact on the communities in education and to serve for a long period, DLs need to structure and organize the resources in a way that facilitates the dissemination and the reuse of resources. Such a digital library should meet defined quality dimensions in the 5S (Societies, Scenarios, Spaces, Structures, Streams) framework - including completeness, consistency, efficiency, extensibility, and reliability - to ensure t

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Bardolle, Frédéric. "Modélisation des hydrosystèmes par approche systémique." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAH006/document.

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Dans l'état actuel des connaissances, il est impossible de poser correctement toute la physique permettant de modéliser les hydrosystèmes dans leur ensemble, notamment à cause de la dynamique très contrastée des différents compartiments. Les modèles systémiques simplifient la représentation des hydrosystèmes en ne considérant que leurs flux d’échange. L’objet de ce travail est de proposer un outil de modélisation systémique fournissant des informations sur le fonctionnement physique des hydrosystèmes, tout en étant simple et parcimonieux. Ce modèle nommé MASH (pour Modélisation des Hydrosystèm

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13

Katzenbach, Michael. "Individual Approaches in Rich Learning Situations Material-based Learning with Pinboards." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-80328.

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Active Approaches provide chances for individual, comprehension-oriented learning and can facilitate the acquirement of general mathematical competencies. Using the example of pinboards, which were developed for different areas of the secondary level, workshop participants experience, discuss and further develop learning tasks, which can be used for free activities, for material based concept formation, for coping with heterogeneity, for intelligent exercises, as tool for the presentation of students’ work and as basis for games. The material also allows some continuous movements and can thus

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Feldman, Anna. "Portable language technology a resource-light approach to morpho-syntactic tagging /." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1153344391.

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Giacchi, Evelina. "Decisions Dynamics in ICT systems: the influence of a context-aware and social approach on the multiple criteria decision making processes." Doctoral thesis, Università di Catania, 2017. http://hdl.handle.net/10761/3887.

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In an Information and Communication Technology (ICT) system, information and knowledge have a key role in the development as well as in the evolution of processes. Due to the continuous improvement of the ICT, there are no limits on when, where and how each process has to take place. This condition, if on one hand permits that all the processes can be easily performed, on the other hand it increases the complexity level of each process itself. Furthermore the development of each process is much more complicated considering the concepts of social networking. In fact, taking into consideration

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Claesson, Annika. "Utvärdering som stödjande verktyg vid kompetensutveckling : överföring av lärande och kunskapsanvändning bland personal i äldreomsorg." Licentiate thesis, Örebro universitet, Institutionen för juridik, psykologi och socialt arbete, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-44705.

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Baker, Gabrielle A. "Food and nutrition in schools today : a qualitative holistic approach." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36545/1/36545_Baker_1998.pdf.

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Interest in food and nutrition education is growing in response to the need for a focus on health within the community. It has in the past however been largely overlooked in schools. Schools have the opportunity to influence food decisions by cost effectively reaching a wide audience who have an interest in food. Present education reforms in Australia offer the opportunity for food and nutrition education to take its vital place in the school setting. Food and nutrition promotion in schools is often perceived as curriculum based. This is neither the best nor the only approach. Tuckshops

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D'Ascia-Berger, Valerie. "Stratégie d'implantation d'une échelle d'évaluation du risque de constipation : approche éducative et collaborative." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM3081.

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Cette recherche porte sur la co-construction d'une stratégie pour implanter dans la pratique infirmière une échelle d'évaluation du risque de constipation du patient hospitalisé (ERCoPH). Elle s'appuie sur le Modèle humaniste des soins infirmiers (Girard et Cara, 2011) et sur le modèle d'apprentissage socio-constructivisme (Vygotsky, 1997). Le design s'inscrit dans une approche collaborative (Desgagné, 1997). Les objectifs sont de co-construire une stratégie pour implanter cette nouvelle échelle et d'évaluer l'impact de cette approche sur le développement professionnel continu (PDC) des infirm

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Mozafari, Marzieh. "Hate speech and offensive language detection using transfer learning approaches." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS007.

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Une des promesses des plateformes de réseaux sociaux (comme Twitter et Facebook) est de fournir un endroit sûr pour que les utilisateurs puissent partager leurs opinions et des informations. Cependant, l’augmentation des comportements abusifs, comme le harcèlement en ligne ou la présence de discours de haine, est bien réelle. Dans cette thèse, nous nous concentrons sur le discours de haine, l'un des phénomènes les plus préoccupants concernant les réseaux sociaux.Compte tenu de sa forte progression et de ses graves effets négatifs, les institutions, les plateformes de réseaux sociaux et les che

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Bagchi, Deblin. "Transfer learning approaches for feature denoising and low-resource speech recognition." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1577641434371497.

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Glaister, Karen. "Learning and transfer of dosage calculations: An evaluation of integrative and computerised instructional approaches." Thesis, Glaister, Karen (1998) Learning and transfer of dosage calculations: An evaluation of integrative and computerised instructional approaches. Masters by Research thesis, Murdoch University, 1998. https://researchrepository.murdoch.edu.au/id/eprint/52195/.

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Dosage calculations are an essential skill for current nurse practitioners. The challenge for educators is to determine how the learner can be best assisted to learn and apply both general and specific knowledge and skills. This fundamental issue of providing instruction that is meaningful and able to be utilised in another setting is an age-old concern. It can be seen from the posology literature that outcomes from a diversity of instructional attempts have generally been limited. This exploratory field study investigated the effect of specifically prepared instructional approaches upon l

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Chen, Zhiang. "Deep-learning Approaches to Object Recognition from 3D Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=case1496303868914492.

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Stafford, Hannah. "Mapping portuguese soils using spectroscopic techniques with a machine learning approach." Master's thesis, Instituto Superior de Ciências da Saúde Egas Moniz, 2014. http://hdl.handle.net/10400.26/6712.

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Dissertação de mestrado Erasmus Mundus para obtenção do grau de mestre em Técnicas Laboratoriais Forenses<br>Soil analysis is an important part of forensic science as it can provide vital links between a suspect and a crime scene based on its characteristics. The use of soil in a forensic context can be characterised into two categories: intelligence purposes or court purposes. The core basis of the comparison of sites to determine the provenance is that soil composition, type etc. vary from one place to another. The aim of this project is to ‘map’ soils and predict the location of a sample of

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Martignano, Alessandro. "Transfer learning nella classificazione di dati testuali gerarchici: approcci semantici basati su ontologie e word embeddings." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Nell'era dell'informatizzazione e con l'avvento del web semantico vi è una sempre crescente necessità di classificare e organizzare grandi moli di dati non strutturati posti in linguaggio naturale al fine di poter trarre da essi informazioni utili alla costruzione di una conoscenza. Tuttavia l'analisi e la classificazione di tali tipi di dati rappresenta, per un sistema automatico, un problema non triviale quanto per un essere umano. A tale scopo in tempi odierni assistiamo a una larga diffusione di tecniche di natural language processing, text mining e sentiment analysis grazie anche ai recen

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NOTARANGELO, NICLA MARIA. "A Deep Learning approach for monitoring severe rainfall in urban catchments using consumer cameras. Models development and deployment on a case study in Matera (Italy) Un approccio basato sul Deep Learning per monitorare le piogge intense nei bacini urbani utilizzando fotocamere generiche. Sviluppo e implementazione di modelli su un caso di studio a Matera (Italia)." Doctoral thesis, Università degli studi della Basilicata, 2021. http://hdl.handle.net/11563/147016.

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In the last 50 years, flooding has figured as the most frequent and widespread natural disaster globally. Extreme precipitation events stemming from climate change could alter the hydro-geological regime resulting in increased flood risk. Near real-time precipitation monitoring at local scale is essential for flood risk mitigation in urban and suburban areas, due to their high vulnerability. Presently, most of the rainfall data is obtained from ground‐based measurements or remote sensing that provide limited information in terms of temporal or spatial resolution. Other problems may be due to t

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Ezzeddine, Moussa. "Pricing football transfers : determinants, inflation, sustainability, and market impact : finance, economics, and machine learning approaches." Thesis, Paris 1, 2020. https://ecm.univ-paris1.fr/nuxeo/site/esupversions/04b54a9e-f462-42c1-b567-4864dbaae12f.

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Chaque année, le marché des transferts fait la une des journaux à cause des prix astronomiques payés par les grands clubs de football pour s'acheter des stars. Le montant payé par le club est supposé être une estimation de la valeur du joueur sur le marché. L'objectif de cette thèse est donc de déterminer les facteurs significatifs impactant le modèle de valorisation des joueurs. Pour ce faire, nous exploitons une base de données contenant 87 000 transferts et plus de 200 000 salaires avec deux types de variables ; une variable contenant des données statistiques sur chaque joueur pour les deux

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Johnson, Travis Steele. "Integrative approaches to single cell RNA sequencing analysis." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586960661272666.

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Llobet, Martí Bernat. "Analysis of the interactivity in a teaching and learning sequence with novice rugby players: the transfer of learning responsibility and control." Doctoral thesis, Universitat de Girona, 2016. http://hdl.handle.net/10803/399791.

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This thesis is a compilation of 3 articles, and the main focus of attention is the learning transfer mechanism. The first article explains the Rugby Attack Assessment instrument, a tool that assesses game performance of rugby union during a 5v5 small-sided game, taking into account simple actions and more complex tactical behaviours. The second paper explores the use of the Integrated Technique-Tactical Model used during the teaching and learning sequence, and reports the learning outcomes of this sequence. Results at a macro-level show no significant improvements. Results at a micro-level sho

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Allen, Rosemary Joy. "Combining content-based and EAP approaches to academic writing: Towards an eclectic program." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2016. https://ro.ecu.edu.au/theses/1788.

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Over the past decade, Australian universities have experienced an exponential increase in the enrolment of fee-paying overseas students whose preparation for tertiary studies may differ significantly from that of local students. Despite English language proficiency requirements, there is some concern that international entry tests do not adequately measure the complex features of university writing; an important concern given that student success is heavily dependent on their mastery of academic writing. As a result, many international students require additional support structures. Until the

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Lee, Kyungmi. "Effective Approaches to Extract Features and Classify Echoes in Long Ultrasound Signals from Metal shafts." Thesis, Griffith University, 2007. http://hdl.handle.net/10072/366794.

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Applications of machine learning demand exploration of feature extraction methods and classifier types in order to obtain systems with reliable highest accuracy. The industrial application discussed in this thesis is the classification of ultrasonic echoes in an A-scan. The application is particularly challenging as A-scans are taken from the end of long large complex metal shafts. Although several pattern analysis and machine learning techniques have been used with success in analyzing A-scan data [43, 89], they are typically in the context of very short signals produced from machine parts li

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Isidora, Votls. "Visoke kognitivne funkcije u nastavi lingvistiĉkih predmeta na tercijarnom nivou obrazovanja." Phd thesis, Univerzitet u Novom Sadu, Filozofski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=100344&source=NDLTD&language=en.

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Iskustvo u radu sa studentima pokazalo je da studenti nedovoljno ĉesto ostvaruju zadovoljavajuće ishode uĉenja na lingvistiĉkim predmetima na studijama engleskog jezika, &scaron;to je takoĊe opisano i u stranoj literaturi. Kao jedan od razloga navodi se nastava koja upućuje studente na pasivnost, te oni pribegavaju memorisanju i reprodukciji materijala kao najĉe&scaron;ćim ishodima uĉenja. Biggs (1999) razraĊuje koncepte dubinskog i povr&scaron;inskog pristupa uĉenju, koje relevantna literatura smatra kljuĉnim faktorima za kvalitet ishoda uĉenja. Dubinski pristup uĉenju korelira sa kvalitetnim

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Dahm, Rebecca. "Effets de l’introduction d’une approche plurielle fondée sur des langues inconnues sur le système didactique : des éléments de cadrage à la mise en place expérimentale en classe d’anglais au collège." Thesis, Bordeaux 2, 2013. http://www.theses.fr/2013BOR22060/document.

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Cette recherche doctorale s’inscrit dans le cadre de la didactique de l’anglais et prend appui sur les champs théoriques propres à la didactique des langues et aux sciences du langage. Elle a pour objet l’étude de l’introduction d’approches plurielles fondées sur les langues inconnues (APLI) au sein du cours d’anglais et cherche à comprendre les effets d’une telle modification du savoir sur les acteurs de la relation pédagogique (l’élève et l’enseignant). Une quasi-expérimentation fut menée sur l’année scolaire 2011-2012 dans cinq classes de collège, de niveau cinquième. Les élèves, regroupés

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Steenhuisen, Maria Jacoba. "The knowledge continuum as an enabler for growth and sustainability in the South African basic education system / Mariè Steenhuisen." Thesis, North-West University, 2012. http://hdl.handle.net/10394/9207.

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The poor state and failure of the basic education system in South Africa gave rise to this research. The wave of knowledge loss experienced in the last two decades is expected to carry on and will continue to deplete the basic education system’s knowledge base, severely affecting the already poor quality of education as well as the future economic growth and sustainability in South Africa. The main research objective was to establish whether future growth and sustainability in the basic education system in South Africa is achievable; which factors it is influenced by; and how knowledge contin

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Barbosa, Paulo Miguel Santos. "Human Activities Recognition: a Transfer Learning Approach." Master's thesis, 2018. https://repositorio-aberto.up.pt/handle/10216/115994.

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Barbosa, Paulo Miguel Santos. "Human Activities Recognition: a Transfer Learning Approach." Dissertação, 2018. https://repositorio-aberto.up.pt/handle/10216/115994.

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Sharma, Chetan, and 夏奇泰. "Face Recognition with Transfer Learning Approach in Deep CNN." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3286dw.

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碩士<br>淡江大學<br>電機工程學系碩士班<br>106<br>Machine learning and deep learning particularly have gained a lot of attention in recent years, especially for classification related tasks, such as text mining, face and speech, etc. The performance increase is mostly due to complex algorithm and architecture, and partly due to the use of good data sets. The main motivation of this thesis is to train a Convolutional Neural Network (CNN) based system for face recognition aiming at positive prediction and appreciative accuracy result. By way of transfer learning, a pre-trained model can be tailored for differen

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Lamas, Miguel Moreira da Cunha. "Digital game-based learning as an active learning approach to promote adaptive transfer." Master's thesis, 2013. http://hdl.handle.net/10071/7354.

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Esta dissertação tem como objectivo analisar a promoção da aprendizagem activa nas secções de formação que utilizem digital game-based learning e em que medida essa promoção se traduz num aumento da adaptabilidade dos formandos. O estudo consistiu num questionário que mediu as percepções que os jogadores de jogos de vídeo tinham acerca da presença de componentes de treino (aprendizagem exploratório e gestão de erros), processos auto-regulatórios (actividade metacognitiva, motivação intrínseca e auto-eficácia) e de resultados de aprendizagem (transferência analógica e transferência adaptável)

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Hung, Ho-shun, and 洪賀順. "Classification with High Intra-Class Variation: A Transfer Learning Approach." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/n5akun.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>100<br>We proposed a method to deal with the classiﬁcation of high intra- class variation data based on a transfer learning approach. The high intra-class variation is diﬃcult to model especially when we only have a limited dataset. In this case, a single concept may consist of several diverse sub-concepts and each concept has only very few samples. The boosting or Adaboost, for instance, can not help much in this case be- cause we may easily produce a weak classiﬁer that gives error rate higher than one half and as a result, the boosting procedure will

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Lin, Wei-Shih, and 林瑋詩. "A Transfer-Learning Approach to Exploit Noisy Information for Classification." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/28021491105145830579.

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碩士<br>國立臺灣大學<br>資訊工程學研究所<br>101<br>Generally qualitative condition (the accuracy of the data) and quantitative condition (the amount of data) of the data can significantly affect the quality of a supervised learning model. However, in real-world applications it might not be feasible to always assume one can obtain large amount of high-quality datasets. This research assumes the situation that there is a only small amount of accurate training data available for learning, aiming at designing a transfer-learning based approach to utilize larger amount of noisy (in terms of labels and features) tr

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Lu, Yi-Min, and 盧胤旻. "Combing Transfer Learning and Stacking Approach for Extreme Contents Detection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/j82m33.

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碩士<br>元智大學<br>資訊管理學系<br>107<br>In recent years, deep learning technology has been highly developed in image recognition, and is also widely used in natural language recognition and word exploration. This study uses migration learning techniques to analyze online reviews and then extract and amplify keywords through feature engineering. This study uses deep learning techniques to load the migration learning mechanism and text classification study. This study will add an Attention Layer into general deep neural network, then through combining multiple deep neural networks and Stacking technology

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RASOOL, AALE. "DETECTING DEEPFAKES WITH MULTI-MODEL NEURAL NETWORKS: A TRANSFER LEARNING APPROACH." Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19993.

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The prevalence of deepfake technology has led to serious worries about the veracity and dependability of visual media. To reduce any harm brought on by the malicious use of this technology, it is essential to identify deepfakes. By using the Vision Transformer (ViT) model for classification and the InceptionResNetV2 architecture for feature extraction, we offer a novel approach to deepfake detection in this thesis. The highly discriminative features are extracted from the input photos using the InceptionResNetV2 network, which has been pre-trained on a substantial dataset. The Vi

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Vance, Lauren M. "A Transfer Learning Approach to Object Detection Acceleration for Embedded Applications." Thesis, 2021. http://dx.doi.org/10.7912/C2/62.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Deep learning solutions to computer vision tasks have revolutionized many industries in recent years, but embedded systems have too many restrictions to take advantage of current state-of-the-art configurations. Typical embedded processor hardware configurations must meet very low power and memory constraints to maintain small and lightweight packaging, and the architectures of the current best deep learning models are too computationally-intensive for these hardware configurations. Current research shows that convolutional neural ne

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(10986807), Lauren M. Vance. "A Transfer Learning Approach to Object Detection Acceleration for Embedded Applications." Thesis, 2021.

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<p>Deep learning solutions to computer vision tasks have revolutionized many industries in recent years, but embedded systems have too many restrictions to take advantage of current state-of-the-art configurations. Typical embedded processor hardware configurations must meet very low power and memory constraints to maintain small and lightweight packaging, and the architectures of the current best deep learning models are too computationally intensive for these hardware configurations. Current research shows that convolutional neural networks (CNNs) can be deployed with a few architectural mod

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Henderson, Troy Allen. "A Learning Approach To Sampling Optimization: Applications in Astrodynamics." Thesis, 2013. http://hdl.handle.net/1969.1/151266.

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A new, novel numerical optimization algorithm is developed, tested, and used to solve difficult numerical problems from the field of astrodynamics. First, a brief review of optimization theory is presented and common numerical optimization techniques are discussed. Then, the new method, called the Learning Approach to Sampling Optimization (LA) is presented. Simple, illustrative examples are given to further emphasize the simplicity and accuracy of the LA method. Benchmark functions in lower dimensions are studied and the LA is compared, in terms of performance, to widely used methods. Three

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Shih, Chao Chuang, and 石朝全. "Using transfer learning to improve pivot language approach to named entity transliteration." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/cd572d.

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碩士<br>國立中央大學<br>資訊工程學系<br>107<br>Machine translation has been research for a long time. Although most of the sentences can be translated correctly, when it comes to named entity like a personal name or a location in a sentence, there's still room for improvement especially between non-English languages. Named Entity Transliteration is a way to solve the condition mentioned above. Transliteration is a key part of machine translation. However when we actually do research, we often have limited parallel data between source language and target language. If we take a wildly used language as a pivo

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LO, CHIA-LING, and 羅佳玲. "An Entire-and-Partial Feature Transfer Learning Approach for Pest Occurrence Frequency." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/4ec9eb.

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碩士<br>國立臺北大學<br>資訊工程學系<br>107<br>The frequency of pest occurrence has always been a task of agricultural time and labor. This paper attempts to solve the above problems through the combination of deep learning and agriculture. We propose an entire-and-partial feature transfer learning scheme to perform pest detection, classification and counting, to offer the result of pest occurrence frequency. In the partial-feature transfer learning, the fine-grained feature map of the partial-feature transfer learning is used to strengthened the entire-feature transfer learning. Finally, different fine-gr

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Gharbali, Ali Abdollahi. "Sleep Stage Classification: A Deep Learning Approach." Doctoral thesis, 2018. http://hdl.handle.net/10362/56821.

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Sleep occupies significant part of human life. The diagnoses of sleep related disorders are of great importance. To record specific physical and electrical activities of the brain and body, a multi-parameter test, called polysomnography (PSG), is normally used. The visual process of sleep stage classification is time consuming, subjective and costly. To improve the accuracy and efficiency of the sleep stage classification, automatic classification algorithms were developed. In this research work, we focused on pre-processing (filtering boundaries and de-noising algorithms) and classification

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Olivares, Roberto Jose Luna. "Palm tree image classification : a convolutional and machine learning approach." Master's thesis, 2019. http://hdl.handle.net/10362/63693.

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies<br>Convolutional neural networks have proven to excel at image classification tasks, do to this they have being incorporated into the remote sensing field, initial hurdles in their application like the need for large data sets or heavy computational burden, have being solve with several approaches. In this paper the transfer learning approach is tested for classification of a very high resolution images of a palm oil plantation. This approach uses a pre trained c

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DEEPANKAN, B. N. "AN TRANSFER LEARNING APPROACH FOR IMAGE CLASSIFICATION USING BINARY IMAGE SEGMENTATION ON LIMITED DATASET." Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16910.

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Image classification has become a part of our daily routine whether it is classifying between traffic signals or different types of species. However, to differentiate between similar texture and shapes is a difficult task with a naked eye. Latest advancements in the field of computer vision can make this task of image classification easier with deep learning techniques, especially neural networks. However, training neural networks require large datasets, otherwise, it cannot give accurate classification. Inspite all the data availability, there are some subjects which lack enoug

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Manson, Lynette Anne. "Mathematical practices: their use across learning domains in a tertiary environment." Thesis, 2010. http://hdl.handle.net/10539/8577.

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This research presents a case study at a South African University, involving students who had studied mathematics in a pre-undergraduate Foundation Programme (FP) and who were currently in their first year of study in Information Technology (IT) at the same institution. The study investigated a possible relationship between the teaching approach used in the FP mathematics classroom and the extent of students’ abilities to use important mathematical practices, such as using procedures flexibly; using representation; understanding/explaining concepts; questioning; justifying claims; disagr

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