Taylor & Francis Group Primary Author mixed material bibliography United Kingdom Taylor & Francis Group 2019 monographic Vol.7 No.2 Th.2019 en Inggris

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Systems Science & Control Engineering is a fully open access journal covering all areas of theoretical and applied systems science and control engineering. Systems Science & Control Engineering; 7/ENGINEERING 21642583 Perpustakaan Universitas YARSI Library is the Brain and The Heart of The University 2164-2583/7/2/2019/E Lt 4 Perpustakaan (Fakultas Teknologi Informasi) Improvement strategy of S-MAC protocol for wireless sensors in IoT based on data and energy priorities Elman neural network optimized by firefly algorithm for forecasting China's carbon dioxide emissions Research on the load balancing strategy for original pages based on cloud storage Research on ‘near-zero emission’ technological innovation diffusion based on co-evolutionary game approach An ensemble feature selection method for high-dimensional data based on sort aggregation Research on price forecasting method of China's carbon trading market based on PSO-RBF algorithm Some prospective criteria for non-unique solutions of ordinary differential equations An improved genetic algorithm for optimizing ensemble empirical mode decomposition method Network traffic prediction of the optimized BP neural network based on Glowworm Swarm Algorithm Krill herd algorithm with chaotic time interval and elitism scheme Matching biomedical ontologies through compact differential evolution algorithm 35152 2021-07-16 10:46:09 2021-08-27 21:24:28 machine generated