Results 31 to 40 of about 60,104 (158)
Applied SciencesFire is amorphous and occurs differently depending on the space, environment, and material of the fire. In particular, the early detection of fires is a very important task in preventing large-scale accidents; however, there are currently almost no ...
Hyeon-Cheol Kim +3 more
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Non-Stationary Representation Learning in Sequential Linear Bandits
IEEE Open Journal of Control Systems, 2022 In this paper, we study representation learning for multi-task decision-making in non-stationary environments. We consider the framework of sequential linear bandits, where the agent performs a series of tasks drawn from different environments.
Yuzhen Qin +4 more
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Synthetic Image Data Generation for Wiring Harness Component Detection Using Machine Learning
Engineering ProceedingsMachine learning is a powerful tool for computer vision tasks in manufacturing, as features are automatically extracted and a high variety of components or failures are reliably detected.
Huong Giang Nguyen +2 more
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PSYCHOLOGICAL INTERACTIONS IN SYNTHETIC LEARNING ENVIRONMENTS
Інформаційні технології і засоби навчання, 2020 Modern researches on synthetic media development cover a wide range of psychological, pedagogical and technological issues. Research methodology in this area is formed largely spontaneously, so it retains conceptual contradictions and fuzziness. When developing new teaching methods using modern information and communication technologies, the problem of
Medintsev, Vladislav A. +1 more
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Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
CoRRAccepted to ICML ...
Zhaoyang Wang 0004 +7 more
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New Trends in Bioremediation Technologies Toward Environment-Friendly Society: A Mini-Review
Frontiers in Bioengineering and Biotechnology, 2021 Today's environmental balance has been compromised by the unreasonable and sometimes dangerous actions committed by humans to maintain their dominance over the Earth's natural resources.
Kunal Dutta +2 more
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Enhancing reinforcement learning controllers with GAN-generated data and transfer learning
SICE Journal of Control, Measurement, and System IntegrationThis study addresses the challenge of data scarcity in training reinforcement learning (RL) controllers for power system economic dispatch problems (EDP) by integrating Generative Adversarial Network (GAN)-generated synthetic data and transfer learning ...
Chang Xu +2 more
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IEEE Access, 2022 In the autonomous car, perception with point cloud semantic segmentation helps obtain a wealth of information about the surrounding road environment.
Jimin Jeong +5 more
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Metrics for Evaluating Synthetic Time-Series Data of Battery
Applied SciencesThe advancements in artificial intelligence have encouraged the application of deep learning in various fields. However, the accuracy of deep learning algorithms is influenced by the quality of the dataset used.
Sujin Seol +3 more
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SYNTHETIC EDUCATIONAL ENVIRONMENT – A FOOTPACE TO NEW EDUCATION
Інформаційні технології і засоби навчання, 2017 The article studies the problems of introducing a synthetic learning environment in the practice of education. The modern views on the essence of the learning environment and its new forms based on information and communication technologies are analyzed.
Olga P. Pinchuk +2 more
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