Call for Papers: Energy Innovation 
Session 1: Intelligent Power Energy Management of Base-Station Antenna System and Stationary Battery Storage System

Chairs                                                                                                                    

•  Minella BEZHA and Naoto NAGAOKA, Doshisha University, Kyoto, JAPAN        

Co-chair

• V. Nagarajan, Pondicherry University, India

Aims

The aim of this Special Session is to propose, explore, introduce, discuss, and clarify research innovation and theoretical and practical industrial concepts within complex system engineering, which includes the close relation of GRID- Infrastructure system from Renewable energy generation from Wind, PV or other alternative ways to a more efficient way of energy management and converting into other industrial applications such as Base Station Antenna System.

Topics & Call for Papers 

We invite researchers and practitioners to submit their papers on topics including but not limited to:

➢ Antenna design revolution powered by AI and next gen Cloud computing      

➢ Antenna connectivity modules

➢ Efficient Energy management based on dual link mobile Batteries in Telecommunication systems                                                           

➢ Battery management systems in AI on cloud computing servers                     

➢ Innovative machine learning model-based investigation, and optimization real time fault diagnosis and error detection in data power flow calculation

➢ Intelligent energy-harvesting infrastructure for telecommunication system

➢ ANN algorithm for real time data error monitoring

➢ AI diagnosis & evaluation in infrastructure using drone& eVTOL monitoring and assistant through advance optimized micro antenna system

Call for Papers: AI and Data Analytics
Session 2: AI Application in Optimized On Cloud Telecommunication & Infrastructure for Industrial Data Systems

Chairs                                                                                                                    

•  Minella BEZHA and Naoto NAGAOKA, Doshisha University, Kyoto, JAPAN        

Co-chair

• V. Nagarajan, Pondicherry University, India

Aims

With the emergence of new technologies and applications it is necessary to tackle and be aware of new challenges. Smart infrastructure is the design, construction, and management of existing infrastructure by deploying intelligent materials, sensors, and equipment to sustain performance under the impacts of climate change and preserve the condition by developing smart asset-management systems. Thus, building smart infrastructure is one of the most critical considerations in developing smart cities.

The aim of this Special Session is to propose, explore, introduce, discuss, and clarify research innovation and theoretical and practical industrial concepts related to Smart Infrastructure and AI Industrial System Applications.

In addition, it aims to publish high-quality research papers as well as state-of-the-art review articles that focus on artificial intelligence and data mining, data monitoring, communication data and high speed transfer with AI optimization and efficiency.

In this special session, special care will be about current and next gen ideas, concepts related to software and hardware for new AI algorithm techniques, new optimization and efficient computing on resolving different problems such smart fault detection, real time diagnosis, AI image recognition and smart analyses, efficient logistic in transportation, energy, and construction of complex systems. New proposal for telematics, big data mining, and machine learning for the performance analysis, diagnosis, and management of Industrial energy storage and integrated systems.

Topics & Call for Papers 

 We welcome submissions that explore the intersection of AI, data analytics, and telecommunications infrastructure. Topics of interest include:

➢ Next Gen Intelligent smart autonomous driving for EV in different applications with efficient 5G/6G protocol

➢ Intelligent fast charging and regenerative braking charging through AI optimization algorithm

➢ Fast data transmission in real time training of Digital Twin Robot models

➢ Generative AI Super Cluster on Cloud system

➢ Digital Twins with real time AI optimization data communication

➢ Next Gen connectivity and autonomous decision making configuration system for boost enhancement in quality and production rate

➢Next Gen Radar for communication and vehicle detection in high speed movements