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- n/a 19
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 18
- machine learning 14
- deep learning 13
- optimization 10
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 10
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 10
- artificial intelligence 7
- classification 7
- clustering 7
- Internet of Things 6
- Kalman filter 6
- convolutional neural network 6
- convolutional neural networks 6
- simulation 6
- transfer learning 6
- T1-995 5
- TA1-2040 5
- UAV 5
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- genetic algorithm 5
- image processing 5
- neural network 5
- neural networks 5
- particle swarm optimization 5
- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 5
- Industry 4.0 4
- Internet of things 4
- IoT 4
- data analysis 4
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Selling the American People
出版 2023“...How marketers learned to dream of optimization and speak in the idiom of management science well before the widespread use of the Internet.Algorithms, data extraction, digital marketers monetizing "eyeballs": these all seem like such recent features of our lives. ...”
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Smoothing, Filtering and Prediction
出版 2023“...As the above-mentioned approaches all rely on knowledge of the underlying model parameters, maximum-likelihood techniques within expectation-maximisation algorithms for joint state and parameter estimation are described. ...”
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Applied Mathematics
出版 2023“...As the size of problems is expected to grow very large in the future, the gap between fast and slow algorithms is growing rapidly. ...”
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Economic and cyber security
出版 2025“...It is emphasized that the process of determining relevant information from a large array of data collected from disparate sources requires an optimal methodological base, which should include the use of special tools for cleaning, tokenization, marking parts of speech with labels for preparation for NLP analysis. ...”
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Advances in Intelligent Data Analysis and Its Applications
出版 2024主題: “...expected model optimization method...”
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Statistical Methods in Data Science and Applications
出版 2024主題: “...expectation-maximization (EM) algorithm...”
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Energy Efficiency and Robustness of Advanced Machine Learning Architectures
出版 2025“...More specifically, this book improves the energy efficiency of complex models like CapsNets, through a specialized flow of hardware-level designs and software-level optimizations exploiting the application-driven knowledge of these systems and the error tolerance through approximations and quantization. ...”
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