ICENT 2023

2023 5th International Conference on Emerging Networks Technologies was held successfully online and offline combination in Okinawa, Japan during

September 22-24, 2023 .

1. Photos:

Group Photo(onsite)

Group Photo(online)

2. Keynote Speeches

Keynote Speech I

Prof. Latif Ladid, University of Luxembourg, Luxembourg

Title: The New Internet based on IPv6 Empowering Enhanced P2P IoT, 5G/6G, Cloud Computing, Web3, AI and Blockchain

Keynote Speech II

Dr Alessio Pagani, nChain, UK

Title: IoT meets Web3: Pioneering the Next Digital Revolution

 
Keynote Speech III

Prof. Dimitrios Georgakopoulos, Swinburne University of Technology, Australia

Title: Developing the next generation IoT: A perspective from basic research and industry projects

 
 

3. Invited Speeches

 
Invited Speech I

Prof. Masato Oguchi, Ochanomizu University, Japan

Title: Security and Privacy Issues among IoT Devices and Clouds

Invited Speech II

Prof. Amiya Kumar Tripathy, University of Mumbai, India

Title: Deep Learning Based Design & Analysisof Explainable Artificial Intelligence (XAI)

4. Best Presentations  
Session 1

Paper ID: CT0004-A

Presenter: Chin-Hui Lai, Chung Yuan Christian University, Taiwan

Title: Point-of-Interest Recommendation Based on User Reviews and Geographic Area Features

Session 2

Paper ID: CT5006

Presenter: Bao Rong Chang, National University of Kaohsiung, Taiwan

Title: Chip contour detection and recognition based on deep-learning approaches

Session 3

Paper ID: CT0005

Presenter: Tsung-Han Lee, National Taichung University of Education, Taiwan

Title: Using Bidirectional Federated Transfer Learning for Intrusion Detection in Heterogeneous Industrial Internet of Things

Session 4

Paper ID: CT0019

Presenter: Ricardo Filipe Gonçalves Martinho, Polytechnic of Leiria, Portugal

Title: Smartool-a digital platform for Condition-Based Maintenance in Industry 4.0 environments

Session 5

Paper ID: CT1003

Presenter: Paolo Esposito, University of L’Aquila, Italy

Title: A LoRa-based Wireless Sensor Network monitoring system for urban areas subjected to landslide