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Herausgeber: 
  • Bhanu Prasad
  • Stéphane Devismes
  • Partha Sarathi Mandal
  • Anisur Rahaman Molla
  • Gokarna Sharma
  • V. Vijaya Saradhi
  • Distributed Computing and Intelligent Technology: 20th International Conference, ICDCIT 2024, Bhubaneswar, India, January 17-20, 2024, Proceedings 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Januar 2024  
    Genre:  Naturwissensch., Medizin, Technik 
     
    ArtificialIntelligence / Bildverarbeitung / Blockchains / CloudandEdgeComputing / ComputerNetworks / Computernetzwerke und maschinelle Kommunikation / cryptography / DeepLearning
    ISBN:  9783031505829 
    EAN-Code: 
    9783031505829 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 22 mm 
    Gewicht:  610 gr 
    Seiten:  404 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    ¿Distributed Computing.- Utility driven joint time-and-power allocation in Energy-Harvesting Cognitive Radio Relay Networks.- An Improved and Efficient Distributed Computing Framework with Intelligent Task Scheduling.- Scheduling of Containerized Resources for Microservices in Cloud.- ELITE: Energy and Latency-Optimized Task Offloading forDVFS-Enabled Resource-Constrained Devices in MEC.- Parking Problem by Oblivious Mobile Robots in Infinite Grids.- The Computational Landscape of Autonomous Mobile Robots: The Visibility Perspective.- Coverage Criteria based Testing of IoT Applications.- An Online Algorithm for Cost Minimization of Amazon EC2 Burstable Resources.- A Practical and Efficient Key-Aggregate Cryptosystem for Dynamic Access Control in Cloud Storage.- Intelligent Technology.- Prediction of Failure in Scania Truck due to Air Pressure System Failure.- A Multi-Class Classification for Detection of IoT Network attacks using machine learning models.- Optimizing Sentiment Analysis on Twitter: Leveraging Hybrid Deep Learning Models for Enhanced Efficiency.- Identification of onset and progression of Alzheimer's disease using Topological Data Analysis.- Enhancing Mario Gaming Using Optimized Reinforcement Learning.- Deep Learning in Industry 4.0: Transforming Manufacturing through Data-Driven Innovation.- SASE: Sentiment Analysis with aspect Specific Evaluation using deep learning with hybrid contextual embedding.- A Genetic Algorithm-Based Heuristic for Rumour Minimization in Social Networks.- A Machine Learning driven Approach For Parkinson's Prediction using Temporal Data.- Prediction of High-resolution Soil Moisture using Multi-source Data and Machine Learning.- Evaluating Deep CNNs and Vision Transformers for Plant Leaf Disease Classification.- Intelligent Ensemble-Based Road CrackDetection: A Holistic View.- Online Payment Fraud Detection for Big Data.- Bursty Event Detection Model for Twitter.- A General Variable Neighborhood Search Approach for the Clustered Traveling Salesman Problem with d-Relaxed Priority Rule.

      



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