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ICT: Innovation and Computing: Proceedings of ICTCS 2023, Volume 5 [Paperback]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  9819994853
  • ISBN-10:  9819994853
  • ISBN-13:  9789819994854
  • ISBN-13:  9789819994854
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  9819994853-11-MING
  • SKU:  9819994853-11-MING
  • Pages:  493
  • Pages:  493
  • Item ID: 107030780
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 29 to Oct 31
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

This book contains best selected research papers presented at ICTCS 2023: Eighth International Conference on Information and Communication Technology for Competitive Strategies. The conference will be held in Jaipur, India during 8  9 December 2023. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics and IT security. The work is presented in five volumes.

Chapter 1: Deep Convolutional Encoder-Decoder Models for Road Extraction from Aerial Imagery .- Chapter 2 :Methods, Approaches, and Techniques for Privacy-Preserving Data Mining .- Chapter 3 :Penetration Testing for the Cloud-Based Web Application .- Chapter 4 :Recurrent Neural Network based Energy Management system in Electric vehicle application with Hybrid energy sources .- Chapter 5 :Pre-Eclampsia Risk Prediction Using Machine Learning Algorithms .- Chapter 6 :Path Planning of Autonomous Vehicle For Real World Scenario using CARLA .- Chapter 7 : Analyzing the Impact of Carbon Emission in Training Neural Machine Translation Models: A Case Study .- Chapter 8 :WOMEN'S SAFETY WEARABLES DESIGN USING AN IOT-BASED FRAMEWORK TECHNOLOGY .- Chapter 9 : Improving Traffic Surveillance with Deep Learning Powered Vehicle Detection, Identification, and Recognition .- Chapter 10 : A Case Study in Requirements Analysis  Sakhee, Software Portfolio Manager .- Chapter 11 :Panorama: A Multi-Language Software Information Prospecting Facility .- Chapter 12 :UNVEILING DRIVER BEHAVIOR THROUGH CNNLSTM- BILSTM ANALYSIS OF OPERATIONAL TIME SERIES DATA .- Chapter 13 : A Systematic Review  of Pomegranate Fruit Disease Detection and Classification Using Machine Learning and Deep Learning Techniques .- Chapter 14 :SURVEILLANCE WITH SMART SPHERICAL ROBOT .- Chapter 15 :Face recognition for attendlCE
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