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Titlebook: Human Interaction, Emerging Technologies and Future Applications IV; Proceedings of the 4 Tareq Ahram,Redha Taiar,Fabienne Groff Conference

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樓主: DUCT
31#
發(fā)表于 2025-3-26 22:07:01 | 只看該作者
in UK Further Education learner retention and progression within the learner’s course/s. The results confirm the predictive potential of PLEX technology in early identification of metacognitive competencies in learning and helps learners with developing effective remedies to enhance their retention and progression levels.
32#
發(fā)表于 2025-3-27 05:04:41 | 只看該作者
33#
發(fā)表于 2025-3-27 07:08:07 | 只看該作者
An Exploration of One-Shot Learning Based on Cognitive Psychologyr (CAV)”. This study claims that the method CAV do not capture this classification uncertainty of Gestalt cognition, and thus shows how far transfer learning still be from the depths reached by human vision.
34#
發(fā)表于 2025-3-27 10:34:44 | 只看該作者
35#
發(fā)表于 2025-3-27 17:14:55 | 只看該作者
Supplementing Machine Learning with Knowledge Models Towards Semantic Explainable AIwledge models, Semantic XAI can fill some of these gaps. In this publication, we raise awareness for its potential and, taking Deep Learning for object recognition as an example, we present initial research results on how to achieve explainability on a semantic level.
36#
發(fā)表于 2025-3-27 18:54:40 | 只看該作者
37#
發(fā)表于 2025-3-28 01:55:23 | 只看該作者
Intelligent Control of HVAC Systems in Electric Busesng controllers were implemented: (1) model predictive control (MPC) and (2) reinforcement learning (RL) based control. This paper describes the implementation and application of both controllers on a Simulink model of a modern heat pump HVAC system and compares the results with PID control.
38#
發(fā)表于 2025-3-28 04:25:03 | 只看該作者
Optimal Prediction Using Artificial Intelligence Applicationortant results that were reached through this paper are: The results proved that the best method for predicting time series is artificial neural networks, Wherever the error results improved by a large margin it was 99.5%.
39#
發(fā)表于 2025-3-28 08:55:23 | 只看該作者
40#
發(fā)表于 2025-3-28 10:56:47 | 只看該作者
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