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• Title:Advances in Data-Driven Computing and Intelligent Systems [electronic resource] : Selected Papers from ADCIS 2023, Volume 2 / edited by Swagatam Das, Snehanshu Saha, Carlos A. Coello Coello, Jagdish C. Bansal.
  
• ISBN:9789819995219
  
• Edition:1st ed. 2024.
  
• Publication:Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
  
• Physical Description:1 online resource (XVIII, 538 p.) 248 illus., 203 illus. in color.
  
• Links:Online book
  

• Yale Holdings

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  • Location:Yale Internet Resource
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  • Call Number: None
    
  • Status:No information available 
  • Notes: Online resource
    

   
• Local Notes:Access is available to the Yale community.
  
• Access and use:Access restricted by licensing agreement.
• Summary: This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during September 21-23, 2023. It includes state-of-the-art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.
  
• In_:Springer Nature eBook
  
• Variant and related titles:Springer ENIN.
  
• Other formats:Printed edition:
  Printed edition:
  
• Format:Book
• Series:Lecture Notes in Networks and Systems, 892
  Lecture Notes in Networks and Systems, 892
  
• Contents:Deep learning models for classification of remotely sensed data of sugarcane -- Detection and Analysis of Wormhole Attacks in the AODV Routing Protocol with IEEE 802.11p for the Internet of Vehicles -- A Systematic Review of NLP Applications in Clinical Healthcare: Advancement and Challenges -- An Investigational Analysis of Automatic Speech Recognition on Deep Neural Networks and Gated Recurrent Unit Model -- Matched Filter and Kirsch's Template based approach for Retinal Vessel Segmentation -- Prediction of abnormality in kidney function using classification techniques and fuzzy systems -- Implementation of Parallel Applications on the Hypercube Topology by Using Multistage Network -- Integrating Artificial Intelligence for Adaptive Decision-Making in Complex System -- Qualitative Research Reasoning on Dementia Fore-cast using Machine Learning Techniques -- Implementation of Vision Transformers on SPECT Heart Dataset: A Comparative Study -- CSR U-Net: A Novel Approach for Enhanced Skin Cancer Lesion Image Segmentation -- Automatic Detection and Classification System for Mesothelioma Cancer using Deep Learning Models with HPO -- A systematic literature survey on IoT in Healthcare: Security and Privacy Threats -- Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images -- Sunflower Optimization with Elite Learning Strategy (SFO-ELS) for Antenna Selection in Massive MIMO Sub Array Switching Architecture -- Machine Learning Models for Human Activity Recognition: A Comparative Study.
  
• Subjects:Telecommunication.
  Electronic circuits.
  Cloud Computing.
  Artificial intelligence.
  Signal processing.
  
• Also listed under:Das, Swagatam. editor.
  Saha, Snehanshu. editor.
  Coello Coello, Carlos A. editor.
  Bansal, Jagdish C. editor.
  SpringerLink (Online service)