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Titlebook: Machine Learning and Big Data Analytics; 2nd International Co Rajiv Misra,Rana Omer,Priyanka Mishra Conference proceedings 2023 The Editor(

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31#
發(fā)表于 2025-3-26 21:32:53 | 只看該作者
32#
發(fā)表于 2025-3-27 02:00:50 | 只看該作者
Resource Allocation in 5G and Beyond Edge-Slice Networking Using Deep Reinforcement Learning,ff-loader (environment) where the problem is modelled as a Markov decision process (MDP) while using a deep neural network to estimate the reward and transition functions. The simulation results show that the learned policy based on the proposed schema provides optimal compute performance while maintaining lower networking costs.
33#
發(fā)表于 2025-3-27 06:39:49 | 只看該作者
The Important Influencing Factors in Machine Translation,ine translation (SMT) framework employed for Hindi to English translation. We performed experiments over HindEnCorp and ILCI dataset for Hindi–English. We find that POS+lemma+gender achieves the highest BLEU score (16.46) for HindEnCorp dataset, and POS+lemma+number achieves the highest BLEU score (19.11) for ILCI dataset.
34#
發(fā)表于 2025-3-27 10:21:49 | 只看該作者
Analysis of Machine Learning Algorithms for Detection of Cyberbullying on Social Networks,astic gradient descent . Moreover, these methods are analysed for detection of cyberbullying. The parameters considered for analysis are accuracy, precision, recall and F1-Score. All these algorithms are compared and the algorithm with the highest accuracy will be projected as the best solution for the above problem statement.
35#
發(fā)表于 2025-3-27 13:38:27 | 只看該作者
36#
發(fā)表于 2025-3-27 18:46:02 | 只看該作者
37#
發(fā)表于 2025-3-28 00:43:00 | 只看該作者
2194-1009 nners, young researchers, and academics.This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2022) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learnin
38#
發(fā)表于 2025-3-28 05:56:00 | 只看該作者
A Comprehensive Analysis on Mobile Edge Computing: Joint Offloading and Resource Allocation Perspecile edge computing are the promising solutions for ubiquitous and on-demand user applications at the edge device. Edge computing is the current industry requirement to provide low latency services. Offloading techniques play a phenomenal role in edge computing environment in terms of dynamic decisio
39#
發(fā)表于 2025-3-28 07:01:52 | 只看該作者
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發(fā)表于 2025-3-28 12:16:34 | 只看該作者
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