责怪
发表于 2025-3-28 18:40:21
Based on Deep Learning CSI Recovery for Uplink Massive Device Dynamic Internet of Thinggorithm suitable for the sparse structure and obtain more accurate channel state information of dynamic IoT networks, though these numerical results, under the premise of guaranteeing performance, can greatly reduce the complexity of the algorithm.
遵循的规范
发表于 2025-3-28 19:31:03
Imbalanced Data Classification Method Based on Ensemble Learning result is generated by weighted voting. In the experiments, six UCI datasets are tested, and the experimental results show that the method is highly representative and can effectively improve the classification ability.
alcohol-abuse
发表于 2025-3-28 23:37:10
Bayesian Method-Based Learning Automata for Two-Player Stochastic Games with Incomplete Informationree property indicates that a set of parameters in the scheme can be universally applicable for all configurations of games. Besides, simulation results demonstrate that BPFLA has much faster convergence rate than traditional schemes using games of learning automata with equal or higher accuracy.
Peak-Bone-Mass
发表于 2025-3-29 03:14:42
A Learning Automata-Based Compression Scheme for Convolutional Neural Networkete insignificant convolution kernels according to the actual requirements. According to the results of experiments, the proposed scheduling method can effectively compress the number of convolutional kernels at the expense of losing weak classification accuracy.
暗指
发表于 2025-3-29 07:35:48
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Tracheotomy
发表于 2025-3-29 13:30:06
A Multi-label Scene Categorization Model Based on Deep Convolutional Neural Networksification model utilizing deep convolutional neural network (CNN) inspired by Inception-v4 [.] on this basis. Experiments demonstrate that the model proposed achieves an accuracy of 94.125% on the test set and thus can be deployed into practical intelligent surveillance scenarios.
硬化
发表于 2025-3-29 18:13:25
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PHONE
发表于 2025-3-29 23:36:27
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甜瓜
发表于 2025-3-30 03:48:23
Astronomy and Astrophysics Librarysome special applications such as in reimbursement of value-added tax (VAT) invoices. This paper proposes two OCR techniques by using deep convolutional neural network (CNN) and residual network (ResNet), respectively. According to our test dataset, the formerly proposed techniques can reach up to 97.08%, while the latter can increase to 99.38%.
希望
发表于 2025-3-30 06:59:20
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