検索結果 - many-shift algorithm

Computational Mathematics and Applied Statistics

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Novel Approaches for Structural Health Monitoring II

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Data and Democracy at Work 著者: Rogers, Brishen

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Challenges and Research Trends of Energy Business and Management

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Risk Management Technologies for Deep Excavations in Water-Rich Areas

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Ontohackers: Radical Movement Philosophy in the Age of Extinctions and Algorithms, Part III 著者: del Val, Jaym*/Jaime

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Applying Deep Learning Technology for Spatiotemporal Prediction of Air Pollution from Urban Mobile Sources

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The Cost of Free Shipping

“…With cutting-edge analyses, this book looks at the many dark facets of the corporation, including automation, surveillance, tech work, workers' struggles, algorithmic challenges, the disruption of local democracy and much more. …”
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Applications of Power Electronics 著者: Blaabjerg, Frede, Dragicevic, Tomislav, Davari, Pooya

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Applications of Power Electronics 著者: Blaabjerg, Frede, Dragicevic, Tomislav, Davari, Pooya

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Multilevel Converters: Analysis, Modulation, Topologies, and Applications 著者: Grandi, Gabriele, Ruderman, Alex

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Neonatal and Pediatric Cerebro-Cardiopulmonary Resuscitation 著者: Utpal Bhalala, Michael Shoykhet, Graeme Polglase, Eugene Dempsey

“…Using evidence-based algorithms and public health approaches to disseminate them, the last decade has seen a paradigm shift in pediatric resuscitation with significantly improved survival from pediatric cardiac arrests. …”
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Stochastic Models for Geodesy and Geoinformation Science

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Intelligent Processing on Image and Optical Information

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Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

“…Most of the mentioned research problems are solved in these articles by using genetic algorithms, the harmony search algorithm, the hybrid bat algorithm, the combined whale optimization algorithm, and other optimization and decision-making methods. …”
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Augmented Reality, Virtual Reality & Semantic 3D Reconstruction

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Deep Learning and Computer Vision in Remote Sensing

“…This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. …”
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Deep Learning and Computer Vision in Remote Sensing

“…This success and progress is mostly due to the effectiveness of deep learning (DL) algorithms. In addition, the remote sensing community has shifted its attention to DL, and DL algorithms have been used to achieve significant success in many image analysis tasks. …”
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Evolutionary Multi-objective Optimization: An Honorary Issue Dedicated to Professor Kalyanmoy Deb

主題: “…genetic algorithm…”
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