阿谀奉承
发表于 2025-3-21 18:06:38
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Coterminous
发表于 2025-3-21 21:11:02
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Grasping
发表于 2025-3-22 04:13:28
Decision Boundary to Improve the Sensitivity of Deep Neural Networks Modelsy decreases during standard training. However, adversarial training increases this distance, which improve the performance of our model. Our work presents a new solution to the deep neural networks sensitivity problem. We found a very strong relationship between the efficiency of the deep neural net
Metastasis
发表于 2025-3-22 07:24:59
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粗鲁的人
发表于 2025-3-22 10:21:59
Deep Reinforcement Learning for Bitcoin Tradinghieve an optimal policy. The profit reward functions and Sharpe ratio are used to assess the proposed DRL. The results of the experiments demonstrate that combining three agents is the most efficient strategy for automatic bitcoin trading.
orthodox
发表于 2025-3-22 13:35:08
Increasing Student Engagement in Lessons and Assessing MOOC Participants Through Artificial Intelligtudent‘s comprehension of the video‘s material. machine-generated questions performed comparably to human-generated questions when it came to judging skill and resemblance. Additionally, the findings indicate that the majority of the questions generated improve e-assessment when the new technology i
Assignment
发表于 2025-3-22 19:52:24
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CANDY
发表于 2025-3-22 22:54:15
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SLAG
发表于 2025-3-23 01:48:59
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arterioles
发表于 2025-3-23 06:41:04
Alberto Del Bimbo,Pietro Pala,Enrico Vicariodoop framework to overcome the issue of long runtime of huge data sets. Also, a comparisons of the proposed model’s effectiveness with other existing models in the literature is carried out and the experimental results shown that our suggested parallel fuzzy model surpasses the baseline models by a