Smart Objects and Technologies for Social Good: 10th Eai International Conference, Goodtechs 2024, Can Tho, Vietnam, December 19-20, 2024, Proceedings
| PUBLISHER | Springer (08/10/2025) |
| PRODUCT TYPE | Paperback (Paperback) |
The two-volume set LNICST 648 and 649 constitutes the refereed post-conference proceedings of the 10th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2024, held in Can Tho, Vietnam, during December 19-20, 2024.
The 17 full papers and 27 short papers included in these volumes were carefully reviewed and selected from 102 submissions. They focus on a wide range of advancements in smart technologies aimed at promoting social good. Key topics include cutting-edge research in Internet of Things (IoT) security, innovative applications of artificial intelligence in domains such as healthcare, education, and environmental monitoring, and energy-efficient systems. They were organized in topical sections as follows:
Part I: Advances in Artificial Intelligence, Machine Learning, and Blockchain Applications Across Diverse Domains
Part II: Innovations in Energy-Based Models, and Advanced Predictive Systems Across Diverse Domains
The two-volume set LNICST 648 and 649 constitutes the refereed post-conference proceedings of the 10th EAI International Conference on Smart Objects and Technologies for Social Goods, GOODTECHS 2024, held in Can Tho, Vietnam, during December 19-20, 2024.
The 17 full papers and 27 short papers included in these volumes were carefully reviewed and selected from 102 submissions. They focus on a wide range of advancements in smart technologies aimed at promoting social good. Key topics include cutting-edge research in Internet of Things (IoT) security, innovative applications of artificial intelligence in domains such as healthcare, education, and environmental monitoring, and energy-efficient systems. They were organized in topical sections as follows:
Part I: Advances in Artificial Intelligence, Machine Learning, and Blockchain Applications Across Diverse Domains
Part II: Innovations in Energy-Based Models, and Advanced Predictive Systems Across Diverse Domains
