Call For Paper/ Authors Guideline

CALL FOR PAPER

This 1st International Conference on Emerging Technologies in Electronics and Communication Engineering "(ICETE-2024)" is the flagship international conference of Chaitanaya Bharathi Institute of Technology, Telangana, India. The conference aims to bring together the researchers, scientists, engineers and research scholars from electronic communication and energy technology domains integrated with interdisciplinary computing domain. This provide an international forum to ensure exchange of ideas, foster collaboration, sharing practical developmental experiences and discuss multidimensional effects on emerging fields from relevant domains.

ICETE-2024 aims to facilitate a creative environment for the promotion of collaboration and knowledge transfer. The conference program will consist of keynote speakers from both industry and academia, panel discussion and a multi-track technical program with possibility of submitting Special Sessions.

All the accepted and registered papers shall be part of the Scopus-Indexed Editor Book as a book chapters for the conference proceeding. Authors are encouraged to submit full original papers in the English language and not considered for publications elsewhere. At least one author of each accepted paper must register and present the paper at the conference in order that the paper is to be included in the program.  

Brochure-ICETE-2024

Authors’ Guideline for manuscript/ paper template: template.doc;  template.pdf

The Link for manuscript/ paper submission: Click here

AREAS OF INTEREST

Papers are invited on the following topics

Track I: Next-Generation Communication and Wireless Communication and Networking:

  • 5G/6G Technologies and Standards
  • Network Slicing and Virtualization
  • MMWH Communication
  • Cognitive Radio Networks
  • Green Communications and Energy-Efficient  Networks

Track IV: Distributed Computing and Intelligent Data Analytics

  • Understanding Distributed Computing.
  • Exploring Data Analytics.
  • Integration of intelligent techniques.
  • Scalability and performance.
  • Real world applications.
  • Challenges and future directions.

Track II: Deep Learning Approaches for Disease Prediction and Treatment Optimization in Healthcare:

  • ML in Healthcare: Harnessing Big Data Insights
  • ML and Predictive Analytics in Medical Diagnostics
  • ML Techniques for Optimizing Treatment
  • Combining AI with Clinical Decision Support
  • Ethical Deliberations and Legislative Structures for the Implementation of AI
  • ML Models in Practical Healthcare Environments
  • Advancements and Patterns Changing the Face of AI in Medical care
  • Deep Neural Nets for Predictive and Early Disease Identification Reinforcement Education in Medical Decision Assistance Systems
  • Healthcare Unsupervised Learning
  • Large-Scale Healthcare Data Scalable Architectures

Track V: Industry 4.0 and Machine Learning: Technology and Applications

  • Introduction to Industry 4.0 and Machine Learning
  • The Evolution of Industrial Revolutions
  • Fundamentals of Machine Learning
  • Core Technologies of Industry 4.0
  • Integrating Machine Learning with Industry 4.0
  • Machine learning models for industrial applications
  • Smart Manufacturing and Automation
  • Role of machine learning in manufacturing automation
  • Machine learning in robotics
  • Real-World Applications in Various Industries
  • Ethical considerations of AI and automation
  • Cybersecurity in Industry 4.0

Track III: Artificial Intelligence, Machine Learning,      Internet of Things (IoT) and Cybersecurity Applications

  • AI-driven Communications and Networking
  • Machine Learning for Signal Processing
  • AI for IoT and Smart Systems
  • IoT Architectures and Protocols
  • Edge Computing for IoT
  • IoT Security and Privacy Challenges
  • Blockchain Applications
  

 

Thank you very much for your consideration of this invitation.