Results 231 to 240 of about 66,383 (257)
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Modified Structured Domain Randomization in a Synthetic Environment for Learning Algorithms.

2022
Deep Reinforcement Learning (DRL) has the capability to solve many complex tasks in robotics, self-driving cars, smart grids, finance, healthcare, and intelligent autonomous systems. During training, DRL agents interact freely with the environment to arrive at an inference model. Under real-world conditions this training creates difficulties of safety,
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Aircrew Emergency Decisions: Analysis of Cue Factors for USE IN Synthetic Learning Environments.

1980
Abstract : This report describes the second year activities of a program of research and development to enhance pilot and aircrew emergency decision skills. Major objectives of the work carried out were to: extend theoretical models developed earlier, to carry out four experimental studies which would yield basic pilot judgment data for cognitive and ...
Amos Freedy   +3 more
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VideoLogo--synthetic movies in a learning environment

1990
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1990. ; Title as it appears in the June, 1991 M.I.T. Graduate List: Video logo--synthetic movies in a learning environment. ; Includes bibliographical references (leaves 106-109). ; by Alexander Benenson. ; M.S.
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A Synthetic Dataset for Learning Optical Flow in Underwater Environment

2023
Ferone A.   +4 more
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Synthetic Image Generator for Testing and Training Environments: A Deep Learning Survey

2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), 2023
Venkateswara Reddy. P, P. Sarasu
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Presentation: Synthetic Educators: Analyzing AI-Driven Avatars in Digital Learning Environments

Slides from the presentation of our paper at 27th International Conference on Human-Computer Interaction, Gothenburg, Sweden Synthetic Educators: Analyzing AI-Driven Avatars in Digital Learning Environments Proceedings available at Learning and Collaboration Technologies. HCII 2025. Lecture Notes in Computer Science, vol 15807. Springer, Cham.
Struger, Patrick   +2 more
openaire   +1 more source

Fault Diagnosis using eXplainable AI: A transfer learning-based approach for rotating machinery exploiting augmented synthetic data

Expert Systems With Applications, 2023
Lucas Costa Brito   +2 more
exaly  

Synthetic Data Generator for an E-Learning Platform in a Big Data Environment

2023
Yaneth Moreno   +3 more
openaire   +1 more source

Synthetic Data for Deep Learning

Springer Optimization and Its Applications, 2021
Sergey Nikolenko
exaly  

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