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電子ブック
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1. Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities : Designing for Sustainability. 1st ed. 2022
edited by Panos M. Pardalos, Stamatina Th. Rassia, Arsenios Tsokas
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Optimization and Its Applications ; 186
オンライン: https://doi.org/10.1007/978-3-030-84459-2
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Cities as Convergent Autopoietic Systems (V. Dobrev)
Digital ‘Vitalism’ and its ‘Epistemic’ Predecessors: ‘Smart’ Neoteric History and Contemporary Approaches (Moraitis)
Unbuildable Cities (Th. Rassia)
Smart Cities as Identities (Tsoniotis)
A Cross-domain Landscape of ICT Services in Smart Cities (Bunhova)
A Novel Data Representation Method for Smart Cities’ Big Data (N. Nagy)
A Pedestrian Level Strategy to Minimize Outdoor Sunlight Exposure (X. Li)
Planning and Management of Charging Facilities for Electric Vehicle Sharing (W. Qi)
A Reactive Architectural Proposal for Fog/edge Computing in the Internet of Things Paradigm with Application in Deep Learning (Belmonte-Fernandez)
Urban Big Data: City Management and Real Estate Markets (Saiz)
Social Media-based Intelligence for Disaster Response and Management in Smart Cities (Khatoon)
Cities as Convergent Autopoietic Systems (V. Dobrev)
Digital ‘Vitalism’ and its ‘Epistemic’ Predecessors: ‘Smart’ Neoteric History and Contemporary Approaches (Moraitis)
Unbuildable Cities (Th. Rassia)
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電子ブック
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2. Intelligent Control and Smart Energy Management : Renewable Resources and Transportation. 1st ed. 2022
edited by Maude Josée Blondin, João Pedro Fernandes Trovão, Hicham Chaoui, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Optimization and Its Applications ; 181
オンライン: https://doi.org/10.1007/978-3-030-84474-5
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Predictive Energy Management for Fuel Cell Hybrid Electric Vehicles (Zhou)
Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level based on Battery Aging (López-Ibarra)
Stochastic Optimization Methods for the Stochastic Storage Processes Control (Knopov)
Challenges for a Massive Integration of Flexible Resources in LV Networks (Arboleya)
Electrical railway power supply systems for high-speed lines: from traditional grids to smart grids (Castano-Solisr)
Energy-efficient scheduling of intra-terminal container transport (Homayouni)
Learning-based Control for Hybrid Battery Management Systems (Castro)
Robust, Resilient, and Energy Efficient Satellite Formation Control (Phillips)
A Methodology for the Assessment of Efficiency in Systems under Transient Conditions: Case Study for Hybrid Storage Systems in Elevators (García)
A holistic approach to the energy-efficient smoothing of traffic via autonomous vehicles (Hayat)
Optimal energy management of electric vehicles supplied by battery and supercapacitors: A multi-objective approach (Nguyen)
Transient Stability and Protection Evaluation of Distribution Systems with Distributed Energy Resources (Morais)
Fuzzy Logic Control for Motor Drive Performance Improvement in EV Applications (C. Ta)
Predictive Energy Management for Fuel Cell Hybrid Electric Vehicles (Zhou)
Plug-in Hybrid Electric Buses with Different Battery Chemistries Total Cost of Ownership Planning and Optimization at Fleet Level based on Battery Aging (López-Ibarra)
Stochastic Optimization Methods for the Stochastic Storage Processes Control (Knopov)
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3. Synthetic Aperture Radar (SAR) Data Applications. 1st ed. 2022
edited by Maciej Rysz, Arsenios Tsokas, Kathleen M. Dipple, Kaitlin L. Fair, Panos M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2022
シリーズ名: Springer Optimization and Its Applications ; 199
オンライン: https://doi.org/10.1007/978-3-031-21225-3
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End-to-End ATR Leveraging Deep Learning (M. Kreucher)
Change Detection in SAR Images using Deep Learning Methods (Bovolo)
Homography Augmented Momentum Contrastive Learning for SAR Image Retrieval (M. Rysz)
Synthetic Aperture Radar Image Based Navigation Using Siamese Neural Networks (Semenov)
A Comparison of Deep Neural Network Architectures in Aircraft Detection from SAR Imagery (L. Chen)
Machine Learning Methods for SAR Interference Mitigation (Huang)
Classification of SAR Images using Compact Convolutional Neural Networks (Ahishali)
Multi-frequency Polarimetric SAR Data Analysis for Crop Type Classification using Random Forest (Mandal)
Automatic Determination of Different Soil Types via Several Machine Learning Algorithms Employing Radarsat-2 SAR Image Polarization Coefficients (E. Acar)
Ocean and coastal area information retrieval using SAR polarimetry (A. Buono)
End-to-End ATR Leveraging Deep Learning (M. Kreucher)
Change Detection in SAR Images using Deep Learning Methods (Bovolo)
Homography Augmented Momentum Contrastive Learning for SAR Image Retrieval (M. Rysz)