Lobotomy
发表于 2025-3-25 07:00:52
Parameter Optimization of Reaching Law Based Sliding Mode Control by Computational Intelligence Techpecified reaching laws. The simulation results shows that the gain parameters computed using intelligent techniques for power-rate reaching law outperforms as compared to the other reaching laws (constant-rate and constant plus proportional rate) for SMC in the presence of matched disturbances.
ARY
发表于 2025-3-25 09:50:17
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hallow
发表于 2025-3-25 13:41:29
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FLAX
发表于 2025-3-25 16:41:12
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沐浴
发表于 2025-3-25 21:52:40
Conference proceedings 2021020, held in Changa, India, in December 2020. Due to the COVID-19 pandemic the conference was held online. .The 24 full papers and 4 short papers presented were carefully reviewed and selected from 252 submissions. The papers present recent research on theory and applications in fuzzy computing, neu
窝转脊椎动物
发表于 2025-3-26 02:38:57
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Irascible
发表于 2025-3-26 07:36:56
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引起
发表于 2025-3-26 12:13:59
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十字架
发表于 2025-3-26 13:08:15
Energy Efficient Aspects of Federated Learning – Mechanisms and Opportunitieske a series of steps utilizing innovative technologies to override emerging challenges such as data privacy, latency, scalability, energy consumption, and so forth. Federated Learning (FL), a subset of machine learning paradigm, has shifted the mindset of researchers, including system architects, in
Hamper
发表于 2025-3-26 19:59:06
Classification of UrbanSound8k: A Study Using Convolutional Neural Network and Multiple Data Augmentdeep learning models when it comes to learning discriminative spectro-temporal patterns such as environmental sounds. This work aims to classify the audio samples from the UrbanSound8k dataset using a 5-layer deep convolutional neural network (CNN). The audio samples from the dataset are transformed