ICED 2024 Program Book
ICED 2024 Program Book
ICED 2024 Program Book Summary
Organizers and Committees
The ICED 2024 program is organized by a team led by Patron Prof. Dato’ Ts. Dr. Zaliman Sauli. The conference features a distinguished International Advisory Panel with experts from various countries. The event's committees include roles such as Conference Secretary, Treasurer, Technical Committee, Publication Committee, IT and Publicity Committee, Local Arrangement Committee, and Sponsorship Committee.
Key points:
- The conference is led by a dedicated team with a diverse set of roles
- The International Advisory Panel consists of experts from different countries
- Various committees are responsible for different aspects of the event organization
Table of Content Highlights
The program includes Welcoming Speech, Keynote Speakers, and a detailed Conference Program. The Abstracts cover a wide range of topics including Computational Intelligence and Electronics. Some abstract topics include Seismic Data Analysis, Image Forgery Detection, RFID Antenna Design, E-Waste Classification, and Deep Learning applications in various fields such as medical image segmentation, agriculture, and IoT systems.
Key points:
- The conference program is structured with Welcoming Speech, Keynote Speakers, and Abstracts
- Abstracts cover diverse topics like Computational Intelligence and Electronics
- Highlighted abstract topics include Image Forgery Detection, Deep Learning applications, and IoT systems
Track 1: Computational Intelligence Abstracts
The Computational Intelligence track includes abstracts on various topics like Seismic Data Analysis, Battery Sizing, Image Forgery Detection, Weed Classification, Antenna Design Optimization, AI in E-Waste Recycling, and Deepfake Detection. Other topics cover medical image segmentation, IoT applications, Quranic Verse Recitation Verification, and Machine Learning systems for agriculture and quality detection.
Key points:
- Track 1 abstracts cover a wide range of topics in Computational Intelligence
- Highlighted abstract topics include Deepfake Detection, AI in Recycling, and IoT applications
- Topics also include medical image segmentation, agriculture, and quality detection systems
