Titlebook: Neural Computing for Advanced Applications; 5th International Co Haijun Zhang,Xianxian Li,Qian He Conference proceedings 2025 The Editor(s)

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Many-Objective Artificial Bee Colony Algorithm Based on Dual Indicators validate the optimization capability of the proposed DIMABC, nine WFG benchmark problems with 3, 5, 8, and 15 objectives are utilized. Experimental results show that DIMABC obtains superior performance when compared with five other well-established algorithms.

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Towards Efficient Federated Learning via Vehicle Selection and Resource Optimization in IoVach round of FL, taking into account the computational and transmission capabilities of vehicles, as well as their participation frequency in FL tasks. Furthermore, a resource scheduling algorithm is proposed for the selected vehicles, which utilizes the Lagrange dual problem and sub-gradient projec

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A Method for Identifying Fraudulent Behavior in Electricity Bill Collection Based on Nearest Neighbolectricity bill collection fraud screening rules and storing them on the blockchain as smart contracts, the accounts of abnormal transactions are checked through smart contracts. The experimental results show that the proposed method can promptly and accurately identify abnormal paying users, thereb

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Many-Objective Artificial Bee Colony Algorithm Based on Decision Variable Groupingnance is proposed. Finally, the DTLZ benchmark suite is used to validate the effectiveness of DVGABC. The results obtained demonstrate the superiority of DVGABC over five other well-established algorithms on two performance metrics.

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A Novel Elm Optimization and Its Application in IoT Intrusion Detection managing the trade-offs present in multi-objective optimization problems to identify a range of excellent solutions along the Pareto front. Most of the existing works on ELM optimization focuses on improving one input parameter. This study explored the integration of ELM with NSGA-II for both input

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Synergistic Integration of Renewable Energy and HVDC Technology for Enhanced Multi-objective Economielated to voltage instability, protection difficulties and losses in DC systems, Economic Dispatch HVAC & HVDC with Losses and Economic Dispatch for HVAC & HVDC with Renewable Energy (RE). To validate the model, tests have been conducted on the IEEE 30 Bus System with a substantial presence of renew

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Kexin Yu,Zengyi Yu,Shuomin Ma,Pan Xusing on large-scale studies on single nucleotide polymorphisms and proteomics. These translational approaches can overcome several unsolved clinical problems. Many of my research products, for example, patents and new techniques such as Mastocheck@, are designed for improving the clinical outcomes in patients.

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