Search Results - "Learning Methods"
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1
Authors: et al.
Source: IEEE Robotics and Automation Letters. 10:11022-11029
Subject Terms: Distributed databases, Collaborative robots, Data sets for robot learning, Deep learning methods, Intellectual property, Data models, Federated learning, Trajectory, Training, Servers, Robots, Data privacy
Access URL: https://hdl.handle.net/10481/106390
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2
Authors:
Source: 2025 21st International Conference on Synthesis, Modeling, Analysis and Simulation Methods, and Applications to Circuits Design (SMACD). :1-4
Subject Terms: Deep Neural Networks, Image Classification, Neural Networks, Transfer Learning Methods, Ensemble Models, High Accuracy, Transfer Learning, Learning Systems, Image Enhancement, Multi-Neural Networks, Ensemble Techniques, Neural Networks Ensemble, Training Time, Ensemble Technique
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3
La creativitat en el futbol com a fenomen complex. Eines d’avaluació i propostes per desenvolupar-la
Authors: Canton, Albert
Thesis Advisors: Torrents Martín, Carlota, Hristovski, Robert, Institut Nacional d'Educació Física de Catalunya (Lleida)
Source: TDX (Tesis Doctorals en Xarxa)
Subject Terms: Complexitat, Jocs reduïts, Dynamic overlap, Anàlisi de components principals, Coeficient de congruència de Tucker, Esports d’equip, Unsupervised Machine Learning Methods, Complejidad, Juegos reducidos, Análisis de componentes principales, Coeficiente de congruencia de Tucker, Deportes de equipo, Complexity, Small-sided games, Principal components analysis, Tucker's congruence coefficient, Team sports, Educació Física i Esportiva
File Description: application/pdf
Access URL: http://hdl.handle.net/10803/687552
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4
Authors: et al.
Source: Pattern Recognition Letters. 185:175-183
Subject Terms: Contrastive learning, Convolutional neural networks, Lane detection, Adversarial machine learning, Road and street markings, Self-supervised learning, Semi-supervised learning, Condition, Convolutional neural network, Detection models, Input image, Lane markings, Learning methods, Local feature, Real-world scenario, Shape priors
File Description: print
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5
Authors: et al.
Source: IEEE Robotics and Automation Letters. 9(9):8146-8153
Subject Terms: Sonar, Bathymetry, Image reconstruction, Three-dimensional displays, Rendering (computer graphics), Surveys, Encoding, Bathymetric reconstruction, deep learning methods, deep learning for visual perception, mapping, marine robotics
File Description: print
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6
Authors: et al.
Source: IEEE Robotics and Automation Letters. 10:8850-8857
Subject Terms: FOS: Computer and information sciences, Computer Science - Robotics, Computer Science - Machine Learning, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, AI-based methods, deep learning methods, Reinforcement learning (RL), Robotics (cs.RO), Machine Learning (cs.LG)
Access URL: http://arxiv.org/abs/2503.04280
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7
Authors:
Source: Jurnal Eduscience, Vol 12, Iss 4, Pp 967-987 (2025)
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8
Authors:
Source: Scaffolding: Jurnal Pendidikan Islam dan Multikulturalisme, Vol 7, Iss 2 (2025)
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9
Authors: Fatmanur Atalay
Source: Proceedings of the International Conference of Contemporary Affairs in Architecture and Urbanism-ICCAUA, Vol 8, Iss 1 (2025)
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10
Authors:
Source: Interactive Technology and Smart Education. 20(1):142-159
Subject Terms: Learning methods, Teaching methods, Higher education, Experiential learning, Digital learning, Smart Cities and Communities, Smarta städer och samhällen, LEADS
File Description: electronic
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11
Authors: et al.
Source: AIHURO-Intelligent människa-robot-samarbete IEEE Robotics and Automation Letters. 8(9):5488-5495
Subject Terms: Collision avoidance, deep learning methods, Uncertainty, Vehicle dynamics, Trajectory, Robots, Mobile robots, Dynamics, autonomous agents
File Description: electronic
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12
Authors:
Source: Baltic Journal of Economic Studies, Vol 11, Iss 2 (2025)
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13
Authors: et al.
Source: Big Data Mining and Analytics, Vol 8, Iss 3, Pp 624-660 (2025)
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14
Authors:
Contributors:
Source: Journal of Engineering Research. 13:1089-1103
Subject Terms: Renewable energy, Levelized cost of energy, FOS: Political science, Aerospace Engineering, FOS: Mechanical engineering, Structural engineering, FOS: Law, Wind power in Peru, 7. Clean energy, Environmental science, Elevation (ballistics), Engineering, Meteorology, Artificial Intelligence, 11. Sustainability, Wind farms, FOS: Electrical engineering, electronic engineering, information engineering, Machine Learning Methods for Solar Radiation Forecasting, Electrical and Electronic Engineering, Rural area, Power station, Political science, Wind Power Integration in Power Systems, Geography, 15. Life on land, Economic feasibility, 13. Climate action, Electrical engineering, Physical Sciences, Computer Science, Wind Energy Technology and Aerodynamics, Wind power, Law
File Description: application/pdf
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15
Authors:
Contributors:
Source: Journal of Cultural Heritage. 73:488-497
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16
Authors: et al.
Source: Perspektif Ilmu Pendidikan; Vol. 39 No. 01 (2025): Perspektif Ilmu Pendidikan (In Press); 1-6
Subject Terms: Skills, Problem Based Learning, Effectiveness, Learning Methods
File Description: application/pdf
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17
Authors:
Source: International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM); Vol. 3 No. 1 (2025): International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM) 2025; 1992-2000
Subject Terms: SMAN 1 Maja, Learning Methods, Learning Motivation, Teaching Style
File Description: application/pdf
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18
Authors:
Source: International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM); Vol. 3 No. 1 (2025): International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM) 2025; 1491-1505
Subject Terms: Academic Administration, Learning Methods, Student Achievement
File Description: application/pdf
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19
Authors: A. F. Cheshkova
Source: Vavilovskii Zhurnal Genet Selektsii
Вавиловский журнал генетики и селекции, Vol 29, Iss 2, Pp 310-319 (2025)Subject Terms: hyperspectral imaging, fungal diseases of strawberries, machine learning methods, Genetics, Original Article, QH426-470, dimensionality reduction
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20
Authors: et al.
Source: Journal of Medical Education Development, Vol 18, Iss 1, Pp 1-9 (2025)
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