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Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics PCCDA 2024, Volume 2 edited by Himanshu Mittal, Satyasai Jagannath Nanda, Meng-Hiot Lim
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Mittal, Himanshu.
- Series:
- Algorithms for intelligent systems 2524-7573
- Algorithms for Intelligent Systems 2524-7573
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Cooperating objects (Computer systems).
- Internet of things.
- Wireless communication systems.
- Mobile communication systems.
- Physical Description:
- 1 online resource
- Edition:
- 1st edition 2025
- Place of Publication:
- Singapore Springer Nature Singapore Imprint: Springer 2025
- System Details:
- text file PDF
- Summary:
- This book is a collection of selected high-quality research papers presented at the International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2024), held at Pt. Lalit Mohan Sharma Campus, Rishikesh, Sri Dev Suman Uttarakhand University, Uttarakhand, India, during 20-21 April 2024. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of the latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency
- Contents:
- Secure Sharing of Electronic Health Records Using Smart Contracts and Role Based Access Control
- RFID Application using Dual Band Monopole Antenna by Enhancing the Bandwidth
- The Determinants of Ethical Governance Policies for Artificial Intelligence in the Financial Sector of Moroccan Companies
- Examining Transfer Learning Models to Classify Brain Tumors from MRI Images A Comparative Analysis
- Supervised Machine Learning for Recognition of Gujarati Handwritten Characters with Modifiers
- Gujarati Handwritten Conjunct Consonant Recognition using Deep Learning
- Multimodal Deep Learning for Enhanced Prediction of Molecular Binding Affinities Integrating Chemical Structures and Protein Sequences
- Performance Driven VLSI Adder Choices In Image Processing: A Comparative Analysis
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Printed edition:
- ISBN:
- 9789819786695
- Access Restriction:
- Restricted for use by site license
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