検索結果 - (does OR (jose OR done)) optimization algorithm
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- n/a 11
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 8
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 7
- machine learning 6
- optimization 6
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 6
- artificial intelligence 5
- deep learning 4
- simulation 4
- sustainability 4
- systematic review 4
- DOE 3
- Industry 4.0 3
- PMSM 3
- adaptive algorithm 3
- duty cycle 3
- evolutionary algorithms 3
- finite element method 3
- image processing 3
- induction motor 3
- mathematical model 3
- mathematical modelling 3
- optimization algorithm 3
- renewable energy 3
- sensitivity analysis 3
- support vector machines 3
- thermal model 3
- AFPMSM 2
- BLDC 2
- BLDC motor 2
提案スペルによる検索:
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Flow Control, Active and Passive Applications
出版事項 2023主題: “…DOE optimization algorithm…”
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Quantum Computing Algorithms and Computational Complexity
出版事項 2023“…Another four papers deal with enhanced quantum algorithms: “Progress towards Analytically Optimal Angles in Quantum Approximate Optimisation”: [3] by Daniil Rabinovich, Richik Sengupta, Ernesto Campos, Vishwanathan Akshay and Jacob Biamonte. …”
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Biometrics and Cryptography
出版事項 2024“…As a consequence of the pervasiveness of crypto algorithms, an increasing number of people must understand how they work and how they can be applied in practice. …”
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Feature Paper Collection in the Section ‘Energy Science and Technology’
出版事項 2026主題: “…Heuristic intelligent optimization algorithm…”
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Management and evolution of the European Union member states in the Big Data era. The impact of Big Data on the organization of the European market
出版事項 2021“…New behaviors are observed on the markets thanks to algorithmic optimizations or via the technology of the “Blockchain”. …”
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New Achievements in Evolutionary Computation
出版事項 2021“…During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. …”
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