AI, Sustainability, and Human Well- Being in Logistics Employment: Transforming Work, Efficiency, and Responsible Growth S. Anbu, T. Thilagam, G. Manisha, P. Jayabharathi, R. Vinoth, et al. Impacts of AI on Employment and Skills in Logistics, 2026 This chapter explores the transformative role of Artificial Intelligence (AI) in modern logistics, emphasizing its influence on operational efficiency, sustainability, and human well-being. It explores how AI-driven technologies including automation, predictive analytics, and intelligent decision systems enhance productivity while supporting environmental goals through optimized energy use and reduced emissions. The chapter highlights the evolving nature of logistics employment, detailing skill transitions, safety improvements, and psychological impacts associated with human AI collaboration. Ethical considerations, regulatory frameworks, and governance models are analyzed to ensure responsible and equitable AI deployment. Key challenges and future research directions are identified, focusing on sustainable AI development, workforce inclusion, data security, and policy innovation. The chapter underscores the need for balanced, human-centric adoption to achieve resilient and sustainable logistics ecosystems.
Enhanced 6G MIMO Signal Detection With Dynamic Sparse Region-Based Convolutional Neural Network With White Shark Optimization Sahaaya Arul Mary Solomon Arockiadass, Nandhini Thangavel, John Felix Prakash A, Vinoth Raja, Rahul Dhaigude Internet Technology Letters, 2025 Multiple‐input multiple‐output (MIMO) technology is emerging as a promising choice for upcoming sixth‐generation (6G) and beyond‐fifth‐generation (B5G) networks due to the advancements in AI. However, the complexity of MIMO systems, which involve numerous antennas, results in a challenging detection process with high computational demands. To address the interference challenges inherent in large‐scale MIMO technology, this research proposes a 6G massive MIMO signal identification algorithm that integrates a Dynamic Sparse Region‐based Convolutional Neural Network (DSR‐CNN) with White Shark Optimization (WSO) into conventional MIMO receivers. The DSR‐CNN dynamically refines proposal boxes and features, enhancing detection accuracy by effectively handling complex signal patterns. The WSO optimizes the weight parameters within the R‐CNN, improving the algorithm's convergence toward optimal solutions. This hybrid methodology significantly reduces bit error rates (BER) and enhances detection performance, making it ideally suited to the advanced requirements of 6G networks. The proposed approach, DSR‐CNN‐WSO, not only improves accuracy and efficiency but also seamlessly integrates with existing MIMO systems, offering a robust solution for future wireless communication technologies. The proposed method achieves significantly lower BER (0.01) and Mean Square Error (MSE) (0.1), indicating more reliable bit detection and more accurate signal detection.
Advancing sustainable development through green economics Dhivya Devi S., K. Balasubramanian, A. Adaikkammai, T. Thilagam, R. Vinoth, et al. AI Methods for Environmental Protection and Resource Conservation, 2025 Green economy is the only way forward for sustainable development, stability of the economy and protection of the environment. The current paper aims to analyze principles, sectors and technologies that are significant for green economic growth. It includes renewable energy, circular economy, green finance together with sustainable agriculture alongside the problems like high costs of investments, insufficient policies and implementing policies and plans, and societal disparities. Some of the trending upcoming technologies such as artificial intelligence, blockchain and carbon capture are shaping sustainability. The paper also establishes the importance of governments, businesses and civil society organisations in promoting a just transition. To realise these objectives, further concepts are focused on policies, green investments, and green technologies for creating low-carbon and resource efficient economy of the world.
Environmental monitoring for sustainability: Technologies, trends, and future directions D. Ravindran, S. Revathi, V. Sowndharya, I. Farzhana, S. Swetha, et al. Leveraging Urban Computing for Sustainable Urban Development, 2025 Environmental monitoring is an essential activity in sustainability because it generates vital information about natural systems and enables people to meet important environmental needs like climatic change, pollution or depletion of biological diversity. This paper systematically reviews the state of the art on environmental monitoring technologies, methods, and trends and discusses how they contribute to sustainable solutions. Technologies that can be used are remote sensing technology, insitu monitoring, and (IOT) which can be used to acquire real time information on the quality of the air, water bodies and the ecosystem. This paper also highlights issues that are; data accuracy issues, integration, and ethical problems concerning with environmental monitoring technologies. This survey further explores the future trends such as; community based monitoring and AIdriven environmental systems hence indicating the need for further policy support and innovation in order to increase the efficiency of monitoring practices.
The Role of Agricultural Cooperatives in Enhancing Credit Access, Market Information, and Smart Farming among Rural Farmers Shaymaa Hussein Nowfal, Sireesha Nanduri, W. Gracy Theresa, B. Keerthi Samhitha, R. Vinoth, et al. Research on World Agricultural Economy, 2025 This study examines the role of agricultural cooperatives in enhancing Credit Access (CA), Market Information (MI), and Smart Farming (SF) among rural farmers in Kerala. Agricultural cooperatives serve as vital organizations that address key challenges smallholder farmers face, including limited CA, MI, and SF. Using a quantitative research design, structured surveys collected data from 421 cooperative and non-member farmers. The study aims to identify the effects of cooperative membership in CA services, MI and SF among rural farmers. Analysis of key findings shows that cooperative members loan from multiple financial sectors, are provided with more frequent MI, and have higher adoption of SF practices, thus featuring the importance of cooperatives in financial development, MI, and environmental organization. The analysis employs t-tests, Chi-square tests, Pearson correlations, and regression models to compare the impact of cooperative membership on CA, MI, and SF. The results reveal that cooperative members are significantly more likely to secure loans, receive more significant loan amounts, and report higher satisfaction with loan terms than non-members. Cooperative members also receive more frequent and reliable MI, which enables them to adjust their sales approaches and access better market opportunities. In addition, cooperative members exhibit higher adoption rates of SF and perceive more significant economic benefits. The study confirms that agricultural organizations are critical in promoting financial inclusion, market participation, and environmental sustainability among rural farmers. These findings underscore the importance of cooperatives as a key tool for rural development and SF growth.
Advancing STEAM education: Integrative approaches, challenges, and future directions Durai Vasanth R., Srilalitha Ravikumar, Somsubhra Saha, K. Sudha, R. Vinoth, et al. Transformative Approaches to Steam Integration in Modern Education, 2025 This chapter presents a brief understanding of STEAM education and—by focusing on the importance of STEAM education—captures the underlying aspects of this fairly new addition to the teaching of science. This chapter focuses on various issues, including implementation of STEAM into courses, rap and innovative teaching approaches and strategies, equity and diversity issues, relevance and roles of digital learning, effects of AI, learning skills throughout life, involving communities and future learning and directions for STEAM education. Each section contains information and examples of effective practices, as well as suggestions for educators, policy makers, and scholars. By synthesizing current practices and emerging trends, this chapter aims to contribute to the ongoing discourse on enhancing STEAM education for a technology-driven world.
AI and applied microbiology in sustainable waste recycling and the circular economy S. Anusha, B. Yamini, S. Udhayashankar, V. Priya, M. Ezhilvendan, et al. AI Technologies for Enhancing Recycling Processes, 2025 Recycling and sustainability are areas of paramount concern in the contemporary world and this paper explores the strategies of applied microbiology as well as artificial intelligence (AI) to enhance these methods. It brings into focus the notion of circular economy, which is of paramount importance in cyclical waste management that meets the least ecological influence and optimizes the resource utilization. The paper is grouped into the following segments: an outline of waste recycling and managerial aspects, the principles of sustainability, the role of applied microbiology in waste degradation, and the integration of artificial intelligence in waste sorting and recycling. Therefore, by adopting an interdisciplinary approach, it offers valuable insights to researchers, policymakers, and industry stakeholders, who are involved in the development of lasting and efficient waste management systems, which are based on the principles of circular economy.
Machine Learning and Data Analysis for Environmental Management A. Devendran, Rajesh G, Sai Krishna Manohar Cheemakurthi, R.Vinoth, S. Surendran, et al. Proceeding of 2024 International Conference on Communication Computing and Energy Efficient Technologies I3ceet 2024, 2024
Intelligent Smart Trolley System Using Arduino G. Uganya, A. Sahaya Anselin Nisha, R. Vinoth, A. Joseph Lourdu Rajah 2023 Intelligent Computing and Control for Engineering and Business Systems Iccebs 2023, 2023
Transforming Information Retrieval with AI: Semantic, Neural, and Multimodal Approaches S Anusha, R Vinoth, N Ramshankar 2026 International Conference on Visual Analytics and Data Visualization … , 2026 2026
Machine Learning for Earthquake Prediction and Characterization: Advancing Detection, Localization, and Seismic Analysis With Deep Learning SU Shankar, S Karthika, R Vinoth, MG Dinesh Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning … , 2026 2026
AI and the Evolution of Human Communication: Transforming Interaction, Expression, and Connection in the Digital Age CS Sasikala, R Vinoth, T Thilagam, G Premalatha, G Manisha, MG Dinesh Impacts of AI on Human Expression and Relationship Building, 1-24 , 2026 2026
AI, Sustainability, and Human Well-Being in Logistics Employment: Transforming Work, Efficiency, and Responsible Growth S Anbu, T Thilagam, G Manisha, P Jayabharathi, R Vinoth, MG Dinesh Impacts of AI on Employment and Skills in Logistics, 127-154 , 2026 2026
Ultra-High Sensitivity Terahertz Detection Using a 2D-Material-Based Metasurface: Design, Tuning, and Machine Learning Validation AR Vinoth R, Gunasekaran Thangavel, Jacob Wekalao Plasmonics 20, 6139–6150 , 2025 2025 Citations: 9
The role of agricultural cooperatives in enhancing credit access, market information, and smart farming among rural farmers SH Nowfal, S Nanduri, WG Theresa, BK Samhitha, R Vinoth, ... Research on World Agricultural Economy, 654-672 , 2025 2025 Citations: 18
Software Tools and Evaluation Models for Visual Analytics: Trends, Challenges, and Future Directions S Lakumarapu, PR Sudha, PJB Pajila, K Sasirekha, R Vinoth 2025 International Conference on Visual Analytics and Data Visualization … , 2025 2025 Citations: 2
Advancing Sustainable Development Through Green Economics K Balasubramanian, A Adaikkammai, T Thilagam, R Vinoth, V Sathya AI Methods for Environmental Protection and Resource Conservation, 47-82 , 2025 2025 Citations: 3
Advancing Sustainable Development Through Green Economics R Vinoth AI Methods for Environmental Protection and Resource Conservation, 36 , 2025 2025
Emerging Trends and Innovations Shaping the Future of Sustainable Computing RV Muthulakshmi, S Deepa, L Sudha, R Kennady, V Kalpana, R Vinoth, ... Energy Efficient Algorithms and Green Data Centers for Sustainable Computing … , 2025 2025 Citations: 1
Energy-Efficient Solutions and Environmental Impact Reduction in Mobile and Wireless Computing T Veeramani, D Prabhu, B Yamini, VKR Bharathi, R Vinoth, ... Energy Efficient Algorithms and Green Data Centers for Sustainable Computing … , 2025 2025
Environmental Monitoring for Sustainability: Technologies, Trends, and Future Directions D Ravindran, S Revathi, V Sowndharya, I Farzhana, S Swetha, R Vinoth, ... Leveraging Urban Computing for Sustainable Urban Development, 323-340 , 2025 2025 Citations: 4
Advancing STEAM Education: Integrative Approaches, Challenges, and Future Directions S Ravikumar, S Saha, K Sudha, R Vinoth, V Sathya Transformative Approaches to STEAM Integration in Modern Education, 33-52 , 2025 2025 Citations: 2
AI and applied microbiology in sustainable waste recycling and the circular economy S Anusha, B Yamini, S Udhayashankar, V Priya, M Ezhilvendan, R Vinoth, ... AI Technologies for Enhancing Recycling Processes, 83-100 , 2025 2025 Citations: 4
Enhanced 6G MIMO Signal Detection With Dynamic Sparse Region‐Based Convolutional Neural Network With White Shark Optimization SAM Solomon Arockiadass, N Thangavel, JF Prakash A, V Raja, ... Internet Technology Letters, e616 , 2024 2024 Citations: 1
AI-Enabled Quality Control: Detecting Defects in Manufacturing Processes with Convolutional Neural Networks S Rajarajeswari, J Prasadarao, MM Adnan, S Kaur, R Vishwakarma, ... 2024 International Conference on Advances in Computing, Communication and … , 2024 2024
Forensic Eye: Convolutional Neural Network-based Crime Scene Object Detection System I Sudha, M Vadivel, P Lakshmiramana, N Kalpana, NM Kumar, R Vinoth 2024 Second International Conference Computational and Characterization … , 2024 2024
AI-Driven Classification and Prediction of Blood Groups through Image Processing A Adgaonkar, R Vinoth, K Raghuveer, S Misra, PMK Prasad, ... Proceedings of the 3rd International Conference on Optimization Techniques … , 2024 2024 Citations: 4
Machine Learning and Data Analysis for Environmental Management A Devendran, G Rajesh, SKM Cheemakurthi, R Vinoth, S Surendran, ... 2024 International Conference on Communication, Computing and Energy … , 2024 2024
Prediction of kidney disease utilizing a hybrid deep learning methodology V Nallarasan, V Ponnusamy, R Lakshminarayanan, S Vigneshwari, ... 2024 2nd International Conference on Computer, Communication and Control … , 2024 2024 Citations: 11
MOST CITED SCHOLAR PUBLICATIONS
Secure multifactor authenticated key agreement scheme for industrial IoT R Vinoth, LJ Deborah, P Vijayakumar, N Kumar IEEE Internet of Things Journal 8 (5), 3801-3811 , 2020 2020 Citations: 168
An anonymous pre-authentication and post-authentication scheme assisted by cloud for medical IoT environments R Vinoth, LJ Deborah, P Vijayakumar, BB Gupta IEEE Transactions on Network Science and Engineering 9 (5), 3633-3642 , 2022 2022 Citations: 48
An efficient key agreement and authentication protocol for secure communication in industrial IoT applications R Vinoth, LJ Deborah Journal of Ambient Intelligence and Humanized Computing 14 (3), 1431-1443 , 2023 2023 Citations: 33
The role of agricultural cooperatives in enhancing credit access, market information, and smart farming among rural farmers SH Nowfal, S Nanduri, WG Theresa, BK Samhitha, R Vinoth, ... Research on World Agricultural Economy, 654-672 , 2025 2025 Citations: 18
Prediction of kidney disease utilizing a hybrid deep learning methodology V Nallarasan, V Ponnusamy, R Lakshminarayanan, S Vigneshwari, ... 2024 2nd International Conference on Computer, Communication and Control … , 2024 2024 Citations: 11
Ultra-High Sensitivity Terahertz Detection Using a 2D-Material-Based Metasurface: Design, Tuning, and Machine Learning Validation AR Vinoth R, Gunasekaran Thangavel, Jacob Wekalao Plasmonics 20, 6139–6150 , 2025 2025 Citations: 9
An improved anomaly detection in wireless sensor network using artificial intelligence evolving optimization tools S Sangheethaa, S Ramakoteswararao 2023 Second International Conference on Augmented Intelligence and … , 2023 2023 Citations: 8
Intelligent smart trolley system using arduino G Uganya, ASA Nisha, R Vinoth, AJL Rajah 2023 Intelligent Computing and Control for Engineering and Business Systems … , 2023 2023 Citations: 5
Environmental Monitoring for Sustainability: Technologies, Trends, and Future Directions D Ravindran, S Revathi, V Sowndharya, I Farzhana, S Swetha, R Vinoth, ... Leveraging Urban Computing for Sustainable Urban Development, 323-340 , 2025 2025 Citations: 4
AI and applied microbiology in sustainable waste recycling and the circular economy S Anusha, B Yamini, S Udhayashankar, V Priya, M Ezhilvendan, R Vinoth, ... AI Technologies for Enhancing Recycling Processes, 83-100 , 2025 2025 Citations: 4
AI-Driven Classification and Prediction of Blood Groups through Image Processing A Adgaonkar, R Vinoth, K Raghuveer, S Misra, PMK Prasad, ... Proceedings of the 3rd International Conference on Optimization Techniques … , 2024 2024 Citations: 4
Advancing Sustainable Development Through Green Economics K Balasubramanian, A Adaikkammai, T Thilagam, R Vinoth, V Sathya AI Methods for Environmental Protection and Resource Conservation, 47-82 , 2025 2025 Citations: 3
Software Tools and Evaluation Models for Visual Analytics: Trends, Challenges, and Future Directions S Lakumarapu, PR Sudha, PJB Pajila, K Sasirekha, R Vinoth 2025 International Conference on Visual Analytics and Data Visualization … , 2025 2025 Citations: 2
Advancing STEAM Education: Integrative Approaches, Challenges, and Future Directions S Ravikumar, S Saha, K Sudha, R Vinoth, V Sathya Transformative Approaches to STEAM Integration in Modern Education, 33-52 , 2025 2025 Citations: 2
A survey on efficient storage and retrieval system for the implementation of data deduplication in cloud R Vinoth, L Jegatha Deborah International conference on Computer Networks, Big data and IoT, 876-884 , 2019 2019 Citations: 2
Emerging Trends and Innovations Shaping the Future of Sustainable Computing RV Muthulakshmi, S Deepa, L Sudha, R Kennady, V Kalpana, R Vinoth, ... Energy Efficient Algorithms and Green Data Centers for Sustainable Computing … , 2025 2025 Citations: 1
Enhanced 6G MIMO Signal Detection With Dynamic Sparse Region‐Based Convolutional Neural Network With White Shark Optimization SAM Solomon Arockiadass, N Thangavel, JF Prakash A, V Raja, ... Internet Technology Letters, e616 , 2024 2024 Citations: 1
RRW-A Resilient Reversible Watermarking Technique for the Preclusion of Information from Cyber Punkers T Thilagam, R Vinoth International Journal of Engineering Research-Online A Peer Reviewed … , 2016 2016 Citations: 1
Transforming Information Retrieval with AI: Semantic, Neural, and Multimodal Approaches S Anusha, R Vinoth, N Ramshankar 2026 International Conference on Visual Analytics and Data Visualization … , 2026 2026
Machine Learning for Earthquake Prediction and Characterization: Advancing Detection, Localization, and Seismic Analysis With Deep Learning SU Shankar, S Karthika, R Vinoth, MG Dinesh Predicting Earthquakes, Eruptions, and Tsunamis With Machine Learning … , 2026 2026
