Titlebook: Artificial Intelligence and Evolutionary Computations in Engineering Systems; Computational Algori S. Chandramohan,Bala Venkatesh,C. Sharme

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書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems影響因子(影響力)




書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems影響因子(影響力)學科排名




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書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems網(wǎng)絡公開度學科排名




書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems被引頻次




書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems被引頻次學科排名




書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems年度引用




書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems年度引用學科排名




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書目名稱Artificial Intelligence and Evolutionary Computations in Engineering Systems讀者反饋學科排名

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Alessandra Angelucci,Andrea AlivertiThe basis of emission prediction process is formed by the base emission rate provided by the CO. sensor measurement and a series of correction factors. The correction factor is based on the actual measurement data and test-specific location data. The main advantage of this work is to design an onboa

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Biomedical Applications of Silk Fibroin,ze low voltage network systems. It is vitally important to ensure that each of these considerations has prioritized and factored into the framework of decision making in order to facilitate for the flow of energy.

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Engineering of Complex Computer Systemsersarial training strategy and calculated the hybrid loss function. The proposed methodology could be potentially used in terms of biometric authentication and forensic identification using vein patterns.

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Lecture Notes in Computer Scienceerimented with the images acquired from the online Mammographic Image Analysis Society (MIAS) Digital Mammogram database and Texoma Medical Center (TMC) and it yields an 83% sensitivity rate for MIAS database and an 87% sensitive rate for the TMC database. The ultimate goal is to improve the predict

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Artificial Intelligence and Evolutionary Computations in Engineering SystemsComputational Algori

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A New Heuristic Algorithm for Economic Load Dispatch Incorporating Wind Power,or LISA. The superiority and efficacy of LISA were demonstrated through its implementation on a modified IEEE 30-bus system. The application results revealed that the LISA algorithm employing strategy II is able to yield better results when compared to ISA, LISA Strategy I and other optimization alg