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Optimal Rescheduling for Transmission Congestion Management Using Intelligent Hybrid Optimizationimization technique which is established on hybridization of particle swarm optimization and genetic algorithm optimization technique for minimizing this congestion cost. Utilizing the modified IEEE 57 bus system, the effectiveness of the given methodology is evaluated, and the results are discussed.embolus 发表于 2025-3-27 20:32:27
Conference proceedings 2024, 2023..The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as welseroma 发表于 2025-3-27 22:53:50
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1865-0929 rns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT Systems.978-3-031-48780-4978-3-031-48781-1Series ISSN 1865-0929 Series E-ISSN 1865-0937态度暖昧 发表于 2025-3-28 12:36:03
Amalgamation of Machine Learning Techniques with Optical Systems: A Futuristic Approached further by the deployment of 5G services and IoT. Hence to incorporate this big data, demand for flexible and scalable networks has risen thereby increasing complexity. So, there is a need of new techniques that can monitor their performances and accordingly adjust the parameters as per the real