Open Access
Articles
Dr. Soma Dalbehera (Author) 1
Pages: 1-10 || Published: 2025-10-01
Industrial automation systems are becoming increasingly complex due to the integration of robotics, advanced sensors, distributed control systems, cyber–physical architectures, and interconnected industrial IoT platforms. As production becomes more digitized, the risk of equipment faults, system failures, and operational downtime also increas... More >
Open Access
Articles
Dr. Anita Sardana (Author) 1
Pages: 11-19 || Published: 2025-10-01
Autonomous robotic navigation has become a core requirement in modern industrial, commercial, and defense operations, where robots must operate in environments characterized by uncertainty, dynamic obstacles, limited sensing, and continuous adaptation. This research investigates the application of Reinforcement Learning (RL) algorithms—namely... More >
Open Access
Articles
Dr. J. Shankar (Author) 1
Pages: 20-29 || Published: 2025-10-01
Smart manufacturing is rapidly evolving through the convergence of automation, intelligent sensing, Industrial Internet of Things (IIoT), and collaborative robotics. However, real-time data processing remains a challenge due to network latency, massive data loads, and computational bottlenecks in centralized cloud systems. This research exami... More >
Open Access
Articles
Prof. (Dr) Manish Singh (Author) 1
Pages: 30-39 || Published: 2025-10-01
Structural Health Monitoring (SHM) has emerged as a high-priority research domain for ensuring the safety, reliability, and long-term durability of civil engineering infrastructure, including bridges, pavements, tunnels, dams, and high-rise buildings. Traditional inspection methods—manual visual surveys, destructive testing, and periodic eval... More >
Open Access
Articles
Dr. Archana Chougule (Author) 1
Pages: 40-48 || Published: 2025-10-01
Accurate energy consumption forecasting has become essential for maintaining stability, efficiency, and resilience in modern intelligent power grids. Traditional statistical forecasting models often struggle to handle nonlinear consumption patterns caused by climate variability, distributed renewable energy, consumer behavior, and fluctuating... More >