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Titlebook: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0; Proceedings of the 5 D. Jude Hemanth,Utku

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Sedat Dikbas,Sibel Arslan,Muhammed Furkan Gul,Saltuk Bugra Selcukluprünge reichen bis in das späte 19. Jahrhundert zurück. Doch streng genommen gibt es den „Nahost-Konflikt“ nicht. Was unter diesem Begriff firmiert, sind zwischen lokal, regional und global handelnden Akteuren vielfach verknüpfte Beziehungen, in deren Zentrum die Konkurrenz um Palästina, das Land zw
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Academic Performance Classification: Use of Supervised Learning Approach in Educational Data Miningtion-related data coming from diverse sources. This review study aims to determine the types of, sources of, and size of data used in educational data mining studies. It also aims to find out the distribution of supervised machine learning models, and tools/software used in educational data mining s
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Artificial Intelligence-Based Engineering Applications a Comprehensive Review of Application Areas,ion, health, defense industry and engineering. When artificial intelligence is applied in different areas of engineering, it can in-crease productivity, optimize processes and offer innovative solutions. In this study, it examines the wide range of artificial intelligence-based engineering applicati
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,Artificial Intelligence Based Estimation of Individuals’ Daily Energy Requirements with Anthropometquired to sustain life. There are various methods used to measure energy expenditure. These methods; methods such as direct calorimetry, gold standard indirect calorimetry, respiratory coefficient, and double effect, can be counted. These methods can be counted as; direct calorimetry, gold standard
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Calculating Bus Occupancy by Deep Learning Algorithms,g problems is to use an appropriate number of vehicles to reduce the increased load and not cause traffic. Although sensors or card reading systems are currently used to solve this problem, it will be more efficient to deal with real-life anomalies adaptively using Deep Learning algorithms. In this
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Classification of Elective Courses According to Kolb Learning Style Inventory by Using Machine Leary contain. These courses have specific rules, content, learning outcomes and target audience. Students should choose the courses most appropriate for their academic and professional careers. Since there are many parameters in the course selection process, tools such as recommendation systems and dec
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Classification of Facial Images and Moods Using Image-Based Algorithms,pt was made to develop a model using deep learning methods to classify people’s emotional expressions in the images in the data set. In the study, three different deep learning algorithms were tested: CNN, ResNet50 and VGG19. Afterwards, the training results of all three models are presented and the
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