A glance through the list of presentations planned in this program reveals a diverse array of topics highly relevant to our lives and the field of communication engineering. These include Common phase error mitigation based on decision-directed data subcarriers in OFDM systems, Random Forest Stratified K-Fold Cross Validation for SYN DoS Attack detection in SD-IoV, and research on intelligent control technology for chicken house environments in large-scale poultry farms. Additional presentations will explore advancements in 5G and 6G network architectures, machine learning applications for network security, energy-efficient wireless sensor networks, and novel approaches to signal processing for real-time communication systems. These topics reflect the cutting-edge research and innovation driving the future of communication technologies, addressing both practical and theoretical challenges in the field.

We also congrat on the best presentation winners, they are:

Oral Session A
Multimodal signal detection, analysis and processing method
多模态信号检测，分析与处理方法
CE-212
Blind Recognition of LDPC Codes Within a Candidate Set Based on Reliable Parity Checks
Shuling Che, Yuan Wang
Presenter: Yuan Wang
Xidian University, China

Oral Session B
Intelligent communication system and wireless transmission technology for complex environment
面向复杂环境的智能通信系统与无线传输技术
CE-660
Context-Aware Automation: AI Based Mood Detection for Personalized Smart Homes
Emanuele Valenti, Silvia Piscetta, Yutao Ye, Mehak Fatima, Zuneera Umair, Rizwan Ahmed Kango, Umair Mujtaba Qureshi
Presenter: Mehak Fatima
Hong Kong Baptist University, China

Online Session 1
Resource optimization and collaborative communication in communication networks and systems
通信网络及系统中的资源优化与协作通信
CE-630
Accelerating Distributed DNN Training Efficiency via Layered Gradient Clustering
Yue Yin, Jinhuang Huang, Shenghui Lu, Qi Zhou, Jingmin Jiang, Waixi Liu
Presenter: Yue Yin
Guangzhou University, China

Online Session 2
Modern electronic systems and signal analysis
现代电子系统与信号分析
CE-620
Efficient Inference Technique for Semantic Segmentation at the Edge in ADAS
Srujan Sardeshmukh, Vansidhar A, Priyanka Renuka Swaroop, Sidharth Rahul Shah, Sathya Prasad
Presenter: Vansidhar A
PES University, India