Machine Learning under Resource Constraints. Applications /

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Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data a...

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Detalles Bibliográficos
Otros Autores: Arendt, Christian (Contribuidor), Awasthi, Shrutarv (Contribuidor), Bektas, Caner (Contribuidor), Biskup, Joachim (Contribuidor), Borgwardt, Karsten (Contribuidor), Böcker, Stefan (Contribuidor), Büscher, Jan (Contribuidor), Cheng, Liang (Contribuidor), Deuse, Jochen (Contribuidor), Ding, Zeyu (Contribuidor), Falkenberg, Robert (Contribuidor), Finkeldey, Felix (Contribuidor), Gramse, Nils (Contribuidor), Haferkamp, Marcus (Contribuidor), Heimann, Karsten (Contribuidor), Hergenröder, Roland (Contribuidor), Hompel, Michael ten (Contribuidor), Häger, Simon (Contribuidor), Ickstadt, Katja (Contribuidor), Jutzeler, Catherine (Contribuidor), Jörke, Pascal (Contribuidor), Kriege, Nils (Contribuidor), Krieger, Cedrik (Contribuidor), Kurtz, Fabian (Contribuidor), Köster, Johannes (Contribuidor), Lang, Michel (Contribuidor), Liebig, Thomas (Contribuidor), Machado, Maximillian (Contribuidor), Masoudinejad, Mojtaba (Contribuidor), Morik, Katharina (Contribuidor, Editor ), Munteanu, Alexander (Contribuidor), Mutzel, Petra (Contribuidor), Overbeck, Dennis (Contribuidor), Panusch, Thorben (Contribuidor), Rahmann, Sven (Contribuidor), Rahnenführer, Jörg (Contribuidor, Editor ), Ran, Ran (Contribuidor), Reining, Christopher (Contribuidor), Richter, Jakob (Contribuidor), Roidl, Moritz (Contribuidor), Saadallah, Amal (Contribuidor), Schramm, Alexander (Contribuidor), Schreckenberg, Michael (Contribuidor), Schäfer, Till (Contribuidor), Shpacovitch, Victoria (Contribuidor), Sliwa, Benjamin (Contribuidor), Stolpe, Marco (Contribuidor), Stöcker, Bianca K (Contribuidor), Tiemann, Janis (Contribuidor), Vranken, Tim (Contribuidor), Weichert, Frank (Contribuidor), Wiederkehr, Petra (Contribuidor), Wietfeld, Christian (Contribuidor, Editor ), Wüstefeld, Konstantin (Contribuidor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : De Gruyter, [2022]
Colección:De Gruyter STEM Ser.
Temas:
Big Data.
Eingebettete Systeme.
Künstliche Intelligenz.
Maschinelles Lernen.
SCIENCE / Chemistry / General.
Artificial Intelligence.
Big Data and Machine Learning.
Cyber-physical systems.
Data mining for Ubiquitous System Software.
Embedded Systems and Machine Learning.
Highly Distributed Data.
ML on Small devices.
Machine learning for knowledge discovery.
Machine learning in high-energy physics.
Resource-Aware Machine Learning.
Resource-Constrained Data Analysis.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Frontmatter
  • Contents
  • 1 Editorial
  • 2 Health / Medicine
  • 2.1 Machine Learning in Medicine
  • 2.2 Virus Detection
  • 2.3 Cancer Diagnostics and Therapy from Molecular Data
  • 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction
  • 2.5 Survival Prediction and Model Selection
  • 2.6 Protein Complex Similarity
  • 3 Industry 4.0
  • 3.1 Keynote on Industry 4.0
  • 3.2 Quality Assurance in Interlinked Manufacturing Processes
  • 3.3 Label Proportion Learning
  • 3.4 Simulation and Machine Learning
  • 3.5 High-Precision Wireless Localization
  • 3.6 Indoor Photovoltaic Energy Harvesting
  • 3.7 Micro-UAV Swarm Testbed for Indoor Applications
  • 4 Smart City and Traffic
  • 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors
  • 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows
  • 4.3 Green Networking and Resource Constrained Clients for Smart Cities
  • 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing
  • 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata
  • 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms
  • 5 Communication Networks
  • 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum
  • 5.2 Resource-Efficient Vehicle-to-Cloud Communications
  • 5.3 Mobile-Data Network Analytics Highly Reliable Networks
  • 5.4 Machine Learning-Enabled 5G Network Slicing
  • 5.5 Potential of Millimeter Wave Communications
  • 6 Privacy
  • 6.1 Keynote: Construction of Inference-Proof Agent Interactions
  • Bibliography
  • Index
  • List of Contributors

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