Intelligent Computing and Networking

Proceedings of IC-ICN 2024
Herausgegeben:Ghinea, George; Semwal, Vijay Bhaskar; Khandare, Anand

• Broschiertes Buch

Produktbeschreibung

This book gathers high-quality peer-reviewed research papers presented at the International Conference on Intelligent Computing and Networking (IC-ICN 2024), organized by the Computer Department, Thakur College of Engineering and Technology, in Mumbai, Maharashtra, India, on February 23-24, 2024. The book includes innovative and novel papers in the areas of intelligent computing, artificial intelligence, machine learning, deep learning, fuzzy logic, natural language processing, human-machine interaction, big data mining, data science and mining, applications of intelligent systems in healthcare, finance, agriculture and manufacturing, high-performance computing, computer networking, sensor and wireless networks, Internet of Things (IoT), software-defined networks, cryptography, mobile computing, digital forensics, and blockchain technology.

Produktdetails

• Lecture Notes in Networks and Systems 1172
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-97-8630-5
• Seitenzahl: 290
• Erscheinungstermin: 10. März 2025
• Englisch
• Abmessung: 235mm x 155mm
• ISBN-13: 9789819786305
• Artikelnr.: 71520511

Inhaltsangabe

Chapter 1: Identification of potholes and speed bumps using SSD & YOLO.- Chapter 2: Webcam-Based Real-Time Indian Sign Language Recognition for Inclusive Communication.- Chapter 3: Performance Analysis of Medical Image Fusion Using Wavelet Technique.- Chapter 4: Correlation Analysis and Stock Market Prediction of Nifty and Nasdaq Indices Using Machine Learning Techniques.- Chapter 5: Integrated RFID-Verified Smart Manufacturing System for Bottle production using industry 4.0.- Chapter 6: Comparing Advanced Programming Languages Based on Machine Learning (ML).- Chapter 7: Optimal Cluster and Node Balancing Technique using K-Mean based on Q-Learning for Wireless Sensor Network.- Chapter 8: Optimizing Iot Task Offloading With Federated Deep Reinforcement Learning In Vehicle And Industrial Environments.- Chapter 9: Enhancing Video Action Recognition with Spatial-Temporal Convolutional Attention Networks.- Chapter 10: Spatial Federated Learning Based Blockchain Mechanism for Smart Contract Vulnerability Detection. etc.