Computer science and information technology
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Cybersecurity in Industrial Control Systems: Strategies for Protecting Critical Infrastructure
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i11.4 Kratika Jain Moradabad, Uttar Pradesh 244001 India Abstract Industrial Control Systems (ICS) underpin the operation of critical infrastructure such as power grids, water treatment plants, and manufacturing facilities. The increasing convergence of Operational Technology…
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Integration of Blockchain Technology in Supply Chain Management for Increased Transparency
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i11.3 Vikhyat Gupta Punjab, India Abstract Supply chains today face critical challenges in ensuring transparency, traceability, and trust among distributed stakeholders. This study investigates the integration of blockchain technology into supply chain management (SCM) to…
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Cyber-Physical System Design for Smart Water Distribution Networks
The design and implementation of Cyber-Physical Systems (CPS) have become critical for enhancing the efficiency, reliability, and sustainability of smart water distribution networks. With the integration of information and communication technologies (ICT) into water distribution infrastructure,…
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AI-Based Detection of Micro-Cracks in Concrete Using Drone Imagery
The integrity of concrete infrastructure is critical to public safety and long‑term asset management. Micro‑cracks, often invisible to the naked eye, can propagate under cyclic loading and environmental exposure, leading to significant structural deterioration. Recent advances…
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Application of Machine Learning for Predictive Maintenance in Industrial Systems
Predictive maintenance (PdM) in industrial systems seeks to forecast equipment failures before they occur, thereby reducing unplanned downtime, maintenance costs, and safety risks. Leveraging machine learning (ML) techniques—such as decision trees, support vector machines (SVMs), random…
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AI-Powered Traffic Management Systems: Enhancing Efficiency and Reducing Congestion
The accelerating pace of urbanization has intensified traffic congestion across metropolitan areas, leading to elevated greenhouse gas emissions, increased fuel consumption, and diminished quality of life for commuters. Artificial intelligence–powered Traffic Management Systems (AITMS) harness advances…
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Application of Deep Learning in Defect Detection During Metal Casting Processes
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i10.2 Prof. Dr. Sanjay Kumar Bahl Indus Intenational University Haroli, Una, Himachal Pradesh – 174301, India Abstract Metal casting is a widely utilized process in manufacturing, where defects such as cracks, voids, and porosity can…
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Integration of Digital Twin Technology in Aerospace Engineering
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i10.1 Dr Amit Kumar Jain DCSE Roorkee Institute of Technology Roorkee, Uttarakhand, India amitkumarjain.cse@ritrroorkee.com Abstract The integration of Digital Twin (DT) technology into aerospace engineering has emerged as a transformative approach for enhancing design accuracy,…
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Sustainable Urban Mobility: Developing Eco-friendly Transportation Systems with AI Integration
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i9.3 Dr Sandeep Kumar SR University Hasanparthy, Telangana 506371 India er.sandeepsahratia@kluniversity.in Abstract Sustainable urban mobility presents multifaceted challenges tied to growing traffic congestion, vehicle emissions, and fluctuating energy demands. Integrating artificial intelligence (AI) into urban…
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Smart Waste Management Systems Using IoT and Machine Learning
DOI: https://doi.org/10.63345/ijrmeet.org.v10.i9.1 Prof.(Dr.) Vishwadeepak Singh Baghela Galgotias University Greater Noida, India Vishwadeepak.Baghela@galgotiasuniversity.edu.in Abstract Smart waste management has evolved into a pivotal element of sustainable urban planning, responding to spiraling volumes of municipal solid waste (MSW) alongside…