Secure and Trustworthy Multisource Data Sharing Using Blockchain for Agricultural Risk Mitigation Murugesan Mohana Keerthi, Ch. Srinivasa Reddy, Y. Sridevi, Anil Pandurang Gaikwad, Joshuva Arockia Dhanraj, Mohit Tiwari 2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025 Through the process of analysing user behaviour and making predictions about tastes recommended devices play an essential part in the delivery of personalised user encounters. It is difficult for standard prescription approaches, such as collective filtering and filtering by content, to properly record intricate connections between multiple preferences within a single proposal. For this reason, we present an artificial intelligence-enhanced recommended systems that incorporates multi-preference deep teaching techniques to increase the quality of recommendations and the level of pleasure experienced by users. Adaptive modelling of user-item exchanges is accomplished via the use of Graphical Neural Network (GNNs) and Transformer-based structures in the method that has been developed. A system for optimisation that is founded on reinforced training constantly improves suggestions by analysing input from users. Furthermore, the combination of several preferences enables the program to take into effect environmental variables, such as the record of perusing, the habits of purchases, and the aspects that are related to time. The presented model surpasses current prescription algorithms in regards of accuracy, recall, and F1-scoring as shown by numerous trials conducted on datasets taken from the actual universe. By more effectively adjusting to users' ever-changing tastes, the software can accomplish a 20% increase in the precision of its recommendations and to increase user involvement. When contrasted to traditional approaches, our methodology provides suggestions that are 90% more personalised, flexible, and adaptable. As a result, it is an excellent option for recommended engines of the future generations.
A Federated and Blockchain-Enabled Approach for Agricultural Risk Management and Yield Prediction Murugesan Mohana Keerthi, Anil Pandurang Gaikwad, Venkateswara Rao Harimasa, Mahua Majumdar Bose, Mohit Tiwari, Mrutyunjay Padhiary 2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025 For increasing customer satisfaction on internet sites, precise suggestions are necessary. Traditional suggestion algorithms, on the other hand, often fail to adequately adjust to the immediate behaviours of users. The purpose of this research is to demonstrate an interactive architecture that depends on deep learning and offers the ability to optimise suggestion effectiveness by collecting both immediate and future user choices. Extraction of variable behaviours from user interactions is accomplished by a structure via the use of session-based RNNs, or recurrent neural networks, that are equipped with mechanisms for focus. Furthermore, Graphical Convolutional in nature Neural (GCNs) improve the learning of the relationships among users and things. Refinement of embedded contexts is achieved by the method by the incorporation of attention to oneself converters, which guarantees extremely precise and individualised suggestions. Complete evaluations conducted on comparable datasets have shown that the suggested system surpasses both the cooperative filtering along with deep learning-based models up to 85% for suggestions that are already in use. Comparing our strategy to the benchmark approaches, we can get a <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$15-25 \%$</tex> gain in Mean Reciprocity Rank (MRR) and Normalised Discounts Continuous Gain (NDCG). It has been shown via the findings that the client interaction structure that has been suggested considerably improves the reliability of actual time recommendations, resulting in a perfect candidate for adaptable content distribution.
Renewable-Powered Antenna Design for Energy-Efficient Wireless Networks International Journal of Intelligent Systems and Applications in Engineering, 2024
IoT-based Remote Control Water Distribution System International Journal of Intelligent Systems and Applications in Engineering, 2024
Blockchain Applications for Security Issues and Challenges in IOT Arvind Kumar Dangi, Gaikwad Anil Pandurang, Gayatri Vijayendra Bachhav, M. Kalyan Chakravarthi, Anita Gehlot, Surendra Kumar Shukla 2023 International Conference on Artificial Intelligence and Smart Communication Aisc 2023, 2023 A common network image (COP) across the numerous applications of contemporary life was made possible by the internet with things (IoT). The development of wireless sensor network devices, which allowed data to be exchanged and numerous analyses to be carried out, allowed for the achievement of the COP. IoT raises security and privacy issues since data authentication and exchange are handled only via the central server. There might be a possibility of device spoofing, incorrect authentication, and decreased data exchange dependability. A central server’s model is dropped and cryptocurrency (BC) technology is added as a component of IoT to solve similar confidentiality and security problems. This study examines how the distributed ledgers based on block chain (DL-BC) technology contributes to potential security and privacy concerns in the context of IoT component interaction. Application of BC with regard to the targeted industries and categories were obviously examined here. To comprehend the role of blockchain technology, certain issues unique to IoT and IoT using BC also were explored.
Blockchain for Telehealth: A Secure Way to Transfer Data Gaikwad Anil Pandurang, Kakpure Krutika Balram, Kadam Prema Subhash, Yadav Gitanjali Bhimrao, Borse Alpana Arun, Borade Monali Ravindra 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023 Blockchain technology (BT) offers several integrated abilities, including accountability, decentralization as provenance of data, security, and the integrity, and it has progressed from hype to actual applications in the sphere of healthcare. Telehealth and telemedicine technologies aim to provide distant medical services in order to slow COVID's spread healthcare. During the Coronavirus pandemic (COVID19), telehealth gained enormous traction. Telehealth allows physicians and medical professionals to care for patients and keep track of their symptoms from a distance. The present research looked at the possibility and limitations utilizing the blockchain system in the telehealth as well as telemedicine sectors. It has investigated the critical blockchain technology's potential role in providing critical facts privacy and security, candor in operation, permanence of health records, and traceability to uncover insurance coverage for patients’ claims and credentials in medicine.
Cloud Computing, Machine Learning, and Secure Data Sharing enabled through Blockchain Rajesh Singh, Akkaraju Sailesh Chandra, Babeetta Bbhagat, Jeidy Panduro-Ramirez, Anil Pandurang Gaikwad, Bhasker Pant Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022 Blockchain technologies are sweeping the globe. Cloud computing & secure data sharing have emerged as new technologies, owing to current advances in machine learning. Conventional machine learning algorithms need the collection & processing of training information on centralized systems. With the introduction of new decentralized machine learning algorithms & cloud computing, ML on-device information learning is now a reality. IoT gadgets may outsource training duties to cloud computing services to enable AI at the network’s perimeter. Furthermore, these dispersed edges intelligence architectures bring additional issues, also including consumer confidentiality & information safety. Blockchain has been proposed as a viable alternative to these issues. Blockchain, as a dispersed intelligent database, has evolved as a revolutionary innovation for the future phase of multiple industries’ uses due to its decentralized, accessible, & safe structure. This system also includes trustworthy automatic scripting running & unchangeable information recordings. As quantum technologies have proven more viable in the latest days, blockchain has faced prospective challenges from quantum computations. In this paper, we summarize the existing material in the study fields of blockchain-based cloud computing, machine learning, and secure data sharing, as well as a basic orientation to post-quantum blockchain to offer a summary of the existing state-of-the-art in these cutting-edge innovations.
RECENT SCHOLAR PUBLICATIONS
Use of Blockchain Technologies Against Cyber Security Threats and Increase IT Industry Security TL Gudipalli, D Uike, GA Pandurang, R Bhattacharjee, N Kankalla, A Firos Computer Science Engineering and Emerging Technologies, 170-176 , 2024 2024.0
Blockchain for telehealth: A secure way to transfer data GA Pandurang, KK Balram, KP Subhash, YG Bhimrao, BA Arun, ... 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023 2023.0 Citations: 1
Big data through product offering: the technological challenges of data science GA Pandurang, M Gupta, J Ray, RR Kumar, A Hussein, MB Alazzam 2023 3rd international conference on advance computing and innovative … , 2023 2023.0 Citations: 2
Blockchain Applications for Security Issues and Challenges in IOT AK Dangi, GA Pandurang, GV Bachhav, MK Chakravarthi, A Gehlot, ... 2023 International Conference on Artificial Intelligence and Smart … , 2023 2023.0 Citations: 14
Impact of AI on Human Psychology GA Pandurang, KK Balram, GR Bhaskar, JM Pramod, TP Radhakrishna European Economic Letters (EEL) 13 (3), 1268-1276 , 2023 2023.0 Citations: 2
AI in Education: Revolutionizing Learning through Personalization AP Gaikwad, KA Meshram, AA Borse, KB Kakpure, P Jadhav, MR Borade Journal of Advanced Zoology 45, 1329-1342 , 2023 2023.0 Citations: 3
Cloud computing, machine learning, and secure data sharing enabled through blockchain R Singh, AS Chandra, B Bbhagat, J Panduro-Ramirez, AP Gaikwad, ... 2022 5th International Conference on Contemporary Computing and Informatics … , 2022 2022.0 Citations: 10
Role of digital signature for authentication of e-documents AP Gaikwad International Journal of Scientific Research 4 (1), 68-7 , 2015 2015.0 Citations: 7
INTEGRATING AI AND ROBOTICS FOR AUTONOMOUS EXPLORATION AND NAVIGATION SS KISAN, GV DEEPAK, JS GORAKH, LK RAMESH, GA PANDURANG, ...
ANALYSING THE IMPACT OF MACHINE LEARNING AND INTERNET OF THINGS ON EMPLOYEE PERFORMANCE IMPROVEMENT GA Pandurang, KK Balram, CP Laxminarayan, SK Abasaheb, ...
THE SCENARIO OF E-LEARNING IN INDIA-CHALLENGES & OPPORTUNITIES DS Patil, M Kurian, D Rawat, GA Pandurang, AB Nadaf
MOST CITED SCHOLAR PUBLICATIONS
Blockchain Applications for Security Issues and Challenges in IOT AK Dangi, GA Pandurang, GV Bachhav, MK Chakravarthi, A Gehlot, ... 2023 International Conference on Artificial Intelligence and Smart … , 2023 2023.0 Citations: 14
Cloud computing, machine learning, and secure data sharing enabled through blockchain R Singh, AS Chandra, B Bbhagat, J Panduro-Ramirez, AP Gaikwad, ... 2022 5th International Conference on Contemporary Computing and Informatics … , 2022 2022.0 Citations: 10
Role of digital signature for authentication of e-documents AP Gaikwad International Journal of Scientific Research 4 (1), 68-7 , 2015 2015.0 Citations: 7
AI in Education: Revolutionizing Learning through Personalization AP Gaikwad, KA Meshram, AA Borse, KB Kakpure, P Jadhav, MR Borade Journal of Advanced Zoology 45, 1329-1342 , 2023 2023.0 Citations: 3
Big data through product offering: the technological challenges of data science GA Pandurang, M Gupta, J Ray, RR Kumar, A Hussein, MB Alazzam 2023 3rd international conference on advance computing and innovative … , 2023 2023.0 Citations: 2
Impact of AI on Human Psychology GA Pandurang, KK Balram, GR Bhaskar, JM Pramod, TP Radhakrishna European Economic Letters (EEL) 13 (3), 1268-1276 , 2023 2023.0 Citations: 2
Blockchain for telehealth: A secure way to transfer data GA Pandurang, KK Balram, KP Subhash, YG Bhimrao, BA Arun, ... 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023 2023.0 Citations: 1
Use of Blockchain Technologies Against Cyber Security Threats and Increase IT Industry Security TL Gudipalli, D Uike, GA Pandurang, R Bhattacharjee, N Kankalla, A Firos Computer Science Engineering and Emerging Technologies, 170-176 , 2024 2024.0
INTEGRATING AI AND ROBOTICS FOR AUTONOMOUS EXPLORATION AND NAVIGATION SS KISAN, GV DEEPAK, JS GORAKH, LK RAMESH, GA PANDURANG, ...
ANALYSING THE IMPACT OF MACHINE LEARNING AND INTERNET OF THINGS ON EMPLOYEE PERFORMANCE IMPROVEMENT GA Pandurang, KK Balram, CP Laxminarayan, SK Abasaheb, ...
THE SCENARIO OF E-LEARNING IN INDIA-CHALLENGES & OPPORTUNITIES DS Patil, M Kurian, D Rawat, GA Pandurang, AB Nadaf
