Vinayak Prabhakar Musale

@mitwpu.edu.in

Assistant Professor, Department of Computer Engineering and Technology
Dr. Vishwanath Karad MIT World Peace University, Pune

Vinayak Prabhakar Musale


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https://researchid.co/vinayaka_cse

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Classics
37

Scopus Publications

172

Scholar Citations

7

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Enhancing pollution detection with nanosensors and AI: the AEPM-Net approach
    Srinivas Nagineni, Nandhinidevi S, Manjulaadevi K, Sakthidharan G.R, Saravana Karthikeyan M, Vinayak Musale
    Nanotechnology for Environmental Engineering, 2026
  • Asana Master—Intelligent Yoga Mat
    Amruta Amuna, Hardik Rokde, Anuj Gosavi, Gaurang Gulhane, Ishaan Chepurwar, Arnav Jadhav, Vinayak Musale
    Lecture Notes in Networks and Systems, 2026
  • Machine Learning Based Detection Mechanism for Sensor Spoofing in Autonomous Vehicles
    Vinayak Musale, Rachit Patekar, Ayush Kumar, Aariz Shaikh, Shaleen Gupta, Amruta Amune, Mangesh Bedekar
    Communications in Computer and Information Science, 2026
  • Enhancing software fault prediction through data balancing techniques and machine learning
    Akshat Raj, Durva Mahadeo Chavan, Priyal Agarwal, Jestin Gigi, Madhuri Rao, Vinayak Musale, Akshita Chanchlani, Murtaza Shabbirbhai Dholkawala, Kulamala Vinod Kumar
    Iaes International Journal of Artificial Intelligence, 2025
    Software fault prediction is essential for ensuring the reliability and quality of software systems by identifying potential defects early in the development lifecycle. However, the presence of imbalanced datasets poses a significant challenge to the effectiveness of fault prediction models. In this paper, we investigate the impact of different data balancing techniques, including generative adversarial networks (GANs), synthetic minority over-sampling technique (SMOTE), and NearMiss, on machine learning (ML) model performance for software fault prediction. Through a comparative analysis across multiple datasets commonly used in software engineering research, we evaluate the efficacy of these techniques in addressing class imbalance and improving predictive accuracy. Our findings provide insights into the most effective approaches for handling imbalanced data in software fault prediction tasks, thereby advancing the state-of-the-art in software engineering research and practice. An extensive experimentation is performed and analyzed in this study here that includes 8 datasets, 4 data balancing techniques, and 4 ML techniques in order to demonstrate the efficacy of various models in software fault prediction.
  • School bus monitoring system using Geo-fencing technology
    Vijay Gaikwad, Vaishali Rajput, Amruta Amune, Vinayak Musale, Swati Joshi
    Aip Conference Proceedings, 2025
  • Solar panel monitoring using IOT
    Vaishali Rajput, Vijay Gaikwad, Amruta Amune, Vinayak Musale, Swati Joshi
    Aip Conference Proceedings, 2025
  • Smart Irrigation Control System in Precision Agriculture With Jubatus Climber Algorithm Optimized Distributed BiLSTM
    Amruta Chandrakant Amune, Himangi Pande, Vinayak Prabhakar Musale
    Irrigation and Drainage, 2025
    Agricultural productivity is crucial for population growth, but 83% of India's water usage is due to unplanned consumption. To address this, smart agriculture, which uses Internet of Things (IoT) technologies for efficient water management, is essential. Smart irrigation control is crucial for addressing water waste and promoting agricultural growth. To make agriculture smart, automation and IoT technologies emerged with the deep learning algorithms used in the research. Despite advancements, existing research models have drawbacks, including limited accuracy in predicting moisture content and inefficient resource utilization. To address the drawbacks of the existing techniques, a novel approach named distributed bidirectional long short‐term memory optimized with the Jubatus classifier algorithm (JCA‐DiBiLSTM) for automatic irrigation control is proposed. The proposed method integrates BiLSTM networks with a distributed computing architecture, enhancing predictive accuracy by capturing complex temporal dependencies in moisture content data. Additionally, the Jubatus classifier algorithm (JCA) optimizes the model parameters, improving the overall prediction performance. By leveraging JCA‐DiBiLSTM, significant advantages are observed in predicting the moisture content of agricultural land. The model demonstrates enhanced accuracy, outperforming traditional methods and mitigating over‐ or under‐irrigation risks. Furthermore, JCA‐DiBiLSTM ensures an accuracy and specificity of 94% and minimizes the mean square error (MSE) to 5.5 while maximizing the sensitivity to 94%.
  • EXPLORING THE INFLUENCE OF ORGANISATIONAL CULTURE DIMENSIONS ON EMPLOYEE PERFORMANCE IN IT ORGANISATIONS
    MANO ASHISH TRIPATHI, VIJAY SHELAKE, REENA LENKA, VINAYAK MUSALE
    International Journal of Innovation Management, 2025
    This study examines the diverse dimensions of Organisational Culture and their influence on employee performance. Conducting an extensive literature review on cultural dimensions, we designed a structured questionnaire encompassing aspects of both Organisational Culture and Employee Performance. This questionnaire was distributed among a targeted sample, selected using a simple random sampling method. Out of the 424 questionnaires distributed to employees across various IT organisations, 404 valid responses were obtained after removing invalid ones. The analysis revealed a significant correlation between the study dimensions and employee performance. Our outcomes suggest a need for organisations to prioritise fostering Risk-Taking behaviour and maintaining a flexible Organisational Structure, integrating these dimensions into their culture to enhance employee performance, consequently contributing to overall organisational success.
  • Mathematical modeling of drug delivery systems with diffusion and absorption equations
    Vipan Kumar, Uma Bhardwaj, Yamini Sood, Vijaykumar Bhanuse, Vinayak Musale, M. Ramesh Kumar
    Journal of Interdisciplinary Mathematics, 2025
    Mathematical modelling plays a fundamental role in designing drug delivery systems, where the goal is to release an active molecule at a controlled rate and in a specific target region. Diffusion and absorption processes govern how drugs migrate through polymers and tissues and how they are taken up by the body. Challenges arise from spatially varying material properties, nonlinear boundary conditions and the coupling between diffusion within the device and absorption by biological tissues. This paper formulates a one dimensional diffusion–absorption model for a controlled‐release reservoir coupled to a sink that mimics systemic uptake. Starting from Fick’s laws, we derive the governing partial differential equation with a first order absorption term and solve it using separation of variables and Laplace transforms. The model predicts concentration profiles inside the device and the fraction of drug released as functions of time. Results show that higher diffusion coefficients accelerate release, whereas stronger absorption reduces internal concentrations but increases the rate of systemic delivery. The proposed framework provides insights into the interplay between device parameters and pharmacokinetic outcomes and offers guidelines for optimizing controlled release formulations.
  • SPEECH EMOTION RECOGNITION USING COMBINED TRIPLET AND SINGLE-HEADED ATTENTION-ENABLED INTEGRATED RECURRENT NETWORK
    Vaishali Rajput, Vinayak Musale, Sagar Mohite, Amruta Amune, Swati Jadhav
    Biomedical Engineering Applications Basis and Communications, 2025
    Speech Emotion Recognition (SER) stands as a crucial field within Human–Computer Interaction (HCI), drawing significant attention from researchers because of its broad applications. The ability to recognize emotions conveyed through speech is essential for effective two-way communication, making it a pivotal aspect in various domains. Several existing researches have addressed certain drawbacks such as dataset issues, lack of computational efficiency, interpretability, and so on. To overcome the issues and to perform the efficient SER, a combined Triplet and Single-headed Attention-enabled Recurrent Long Gated Network (TriSiH-RLG2) model is proposed in the research, which is designed through the integration of triplet attention, single-headed attention, and recurrent networks that includes Recurrent Neural Network (RNN), Long Short-term Memory (LSTM), and Gated Recurrent Unit (GRU), which eliminates the drawbacks of each model and enhances the overall efficacy of the research. Further to elevate the accuracy of the research, the Gradient Boosting Machine (GBM) is utilized as the classifier that performs the efficient SER through the ensemble learning approach. The contributed TriSiH attention is the incorporation of the two standard attention mechanisms, which act as the spotlight to highlight the relevant features from the input, thus making the research model highly proficient. The experimentation is done using RAVDESS emotional speech dataset and the performance of the provided model is revealed through metrics such as Precision, Recall, Accuracy, and [Formula: see text]1-score that achieve 94.338%, 98.344%, 96.875%, and 96.299%, respectively.
  • Enhancing IoT Device Security Using Zeroknowledge Proofs: A Privacy-Preserving Authentication Approach
    Rupali C. Kothawade, Aditya Mourya, Vinayak Musale, Saloni Kumbhar, Amruta Amune, Madhuri Rao
    2025 9th International Conference on Computing Communication Control and Automation Icccbea 2025, 2025
  • A Vision-Based Real-Time Hand Gesture Controlled System for Human Computer Interaction
    Vinayak Musale, Prasad Wani, Atharva Parchure, Sakshi Chaudhare, Anurag Jadhav, Amruta Amune
    2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025
  • The Legal and Ethical Crossroads of Artificial Intelligence in Cybersecurity and Digital Forensics
    Gyanendra Tiwari, Khushi Pandey, Manali Desai, Vinayak Musale, Dhanashri Wategaonkar, Mangesh Bedekar
    Digital Defence Harnessing the Power of Artificial Intelligence for Cybersecurity and Digital Forensics, 2025
  • Predictive Maintenance for Automotive Health Using Machine Learning
    Amruta Amune, Vinayak Musale, Soham Kasurde, Soham Nimale, Soham Surdas, Shubham Tayde
    Lecture Notes in Networks and Systems, 2025
  • Decentralized Access Control and Continuous Monitoring in Healthcare Facilities: A Privacy-Preserving Framework Integrating Zero-Knowledge Proofs, Biometric Authentication, and Blockchain Technology
    Saloni Kumbhar, Aditya Mourya, Vinayak Musale, Sneha Satpute, Seema Idhate, Amruta Amune
    2025 9th International Conference on Computing Communication Control and Automation Icccbea 2025, 2025
  • CollabSpace: Collaborative and Productive Solution for Corporates
    Vinayak Musale, Satish Kale, Akshada Dighe, Anant Kaulage, Amruta Aphale, Amruta Amune
    2025 IEEE Pune Section International Conference Punecon 2025, 2025
  • Leveraging Blockchain for Secure Mobile Payment Systems: A Privacy Centric Approach
    Vinayak Musale, Poonam Bhosale, Sumegh Tharewal, Madhuri Rao, Ojas Ninawe, et al.
    Icoicc 2025 3rd International Conference on Intelligent and Cloud Computing, 2025
  • A Comprehensive Review of Deepfake Audio Detection Techniques: Advances, Challenges and Future Directions
    Vinayak Musale, Prathamesh Chiddarwar, Aditya Pahade, Parth Rai, Rohit Jaiswal, Varsha Powar
    2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2025
  • IoT-based Smart Energy Monitoring and Forecasting using Long Short-Term Memory and Cloud Integration
    Amruta Amune, Shantanu Rajurkar, Aditya Pawar, Sakshi Rane, Prathavita Pichare, Rahul Shendre, Vinayak Musale
    Proceedings of 3rd International Conference on Sustainable Computing and Data Communication Systems Icscds 2025, 2025
  • Securing Electronic Patient Health Information (ePHI): An Analysis of Data Security and Compliance with Privacy Regulations
    Vinayak Musale, Nishinth Venkatesh, Ayush Dhore, Neel Karnavat, Dhananjay Vadgama, et al.
    Icoicc 2025 3rd International Conference on Intelligent and Cloud Computing, 2025
  • ConvNeXt_Bi-GRU_IDS: A secured and federated deep learning intrusion detection framework in CPS
    Sagar Ramesh Rane, Radhika Vikas Kulkarni, Arun Khatri, Hrushikesh Jaiwant Joshi, Minal Barhate, Vinayak Musale, Amruta Nagesh Chitari, Shailesh Pramod Bendale
    International Journal of Information Technology Singapore, 2025
  • Crop prevention through machine learning and IOT with cloud security using blockchain
    Awantika Singh, Vinayak Musale
    Aip Conference Proceedings, 2024
  • Honeypot Detection and Classification Using Xgboost Algorithm for Hyper Tuning System Performance
    Vinayak Musale, Pranav Mandke, Debajyoti Mukhopadhyay, Swapnoneel Roy, Aniket Singh
    IFIP Advances in Information and Communication Technology, 2024
  • Comparative Assessment and Enhancement of Transformer Models for Effective Text Generation
    Vinayak Musale, Arnav Gajjar, Amruta Amune, Prakhar Singh, Tejashvi Singh, Himanshu Khandelwal
    3rd International Conference on Communication Control and Intelligent Systems Ccis 2024, 2024
  • Secure Electoral Voting System Using Homomorphic Encryption
    Vinayak Musale, Anand Bhongale, Amruta Amune, Abhinav Saxena, Chhavikant Mahobia, Sarthak Panse
    3rd International Conference on Communication Control and Intelligent Systems Ccis 2024, 2024
  • VoltGuard FemmeSecure
    Amruta Amune, V. Musale, Swapnil More, Mitali Mukkawar, Om Munde, Saloni Nachankar
    2024 8th International Conference on Computing Communication Control and Automation Iccubea 2024, 2024
  • Smart Waste Management System: The Integration of IoT, Blockchain, Deep Learning and AI Techniques
    Amruta Amune, V. Musale, S. Jain, Siddhartha Chakrabarty, Somrath Bisen, Sneha Bhat
    2024 3rd International Conference for Advancement in Technology Iconat 2024, 2024
  • Revolutionizing Early Liver Disease Detection: Exploring Machine Learning and Ensemble Models
    International Journal of Intelligent Systems and Applications in Engineering, 2024
  • Smart Beehive Monitoring System using IoT
    Vijay Gaikwad, Amruta Amune, Vaishali Rajput, Vinayak Musale, Neha Rajas, Surabhi Kakade
    2nd IEEE International Conference on Advances in Information Technology Icait 2024 Proceedings, 2024
  • Diet Recommendation by Machine Learning
    13th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2022, 2022
  • Deep Learning Approach to Detect Potholes in Real-Time using Smartphone
    Shebin Silvister, Dheeraj Komandur, Shubham Kokate, Aditya Khochare, Uday More, Vinayak Musale, Avadhoot Joshi
    2019 IEEE Pune Section International Conference Punecon 2019, 2019
  • Efficient and Secure Keying Mechanism for Communication in Sensor Networks
    Vinayak Musale, Devendra Chaudhari
    Lecture Notes on Data Engineering and Communications Technologies, 2019
  • Web usage mining tool by integrating sequential pattern mining with graph theory
    Vinayak Musale, Devendra Chaudhari
    Proceedings 1st International Conference on Intelligent Systems and Information Management Icisim 2017, 2017
  • Challenges, protocols and case studies in design of reliable energy efficient wireless sensor networks
    Vinayak Musale, Devendra Chaudhari
    2017 4th International Conference on Advanced Computing and Communication Systems Icaccs 2017, 2017
  • Novel approach towards securing wireless sensor network systems for health care
    Devendra Chaudhari, Vinayak Musale
    Proceedings International Conference on Global Trends in Signal Processing Information Computing and Communication Icgtspicc 2016, 2017
  • A novel approach for staff notation recognition using deep learning
    Chinmay Bendre, Riya Goyal, Vinayak Musale, Amol Dambale, Renu Kshirsagar
    Proceedings International Conference on Global Trends in Signal Processing Information Computing and Communication Icgtspicc 2016, 2017
  • Digital identity based recommendation system using social media
    Nikhil Jaywant, Sanjay Shetty, Vinayak Musale
    Proceedings of the 2016 2nd International Conference on Applied and Theoretical Computing and Communication Technology Icatcct 2016, 2017

RECENT SCHOLAR PUBLICATIONS

  • Enhancing pollution detection with nanosensors and AI: the AEPM-Net approach
    S Nagineni, N S, M K, S GR, SK M, V Musale
    Nanotechnology for Environmental Engineering 11 (2), 65 , 2026
    2026
  • Convolutional Neural Network for Automated Diagnosis of Mechanical Gear Defects: A High Fidelity Approach to Predictive Maintenance
    V Musale, H Misal, H Paygude, A Salunkhe, S Jagtap, S Paymode, ...
    2026 IEEE International Conference for Convergence in Computing Technology … , 2026
    2026
  • Autonomous solar panel cleaning system with smart IoT connectivity
    V Gaikwad, A Amune, V Musale, N Rajas, S Chinchmalatpure, S Kakade
    Information and Communication Systems, 672-678 , 2026
    2026
  • CollabSpace: Collaborative and Productive Solution for Corporates
    V Musale, S Kale, A Dighe, A Kaulage, A Aphale, A Amune
    2025 IEEE Pune Section International Conference (PuneCon), 1-6 , 2025
    2025
  • A Comprehensive Review of Deepfake Audio Detection Techniques: Advances, Challenges and Future Directions
    V Musale, P Chiddarwar, A Pahade, P Rai, R Jaiswal, V Powar
    2025 IEEE 5th International Conference on ICT in Business Industry … , 2025
    2025
  • A Vision-Based Real-Time Hand Gesture Controlled System for Human Computer Interaction
    V Musale, P Wani, A Parchure, S Chaudhare, A Jadhav, A Amune
    2025 IEEE 5th International Conference on ICT in Business Industry … , 2025
    2025
  • Enhancing software fault prediction through data balancing techniques and machine learning
    KVK Vinayak Musale, Akshat Raj, Durva Mahadeo Chavan, Priyal Agarwal, Jestin ...
    IAES International Journal of Artificial Intelligence (IJ-AI) 14 (6), 4787 , 2025
    2025
  • ConvNeXt_Bi-GRU_IDS: A secured and federated deep learning intrusion detection framework in CPS
    SR Rane, RV Kulkarni, A Khatri, HJ Joshi, M Barhate, V Musale, ...
    International Journal of Information Technology, 1-7 , 2025
    2025
  • Exploring The Influence Of Organisational Culture Dimensions On Employee Performance In It Organisations
    MA Tripathi, V Shelake, R Lenka, V Musale
    International Journal of Innovation Management 29 (07n08), 2550016 , 2025
    2025
    Citations: 2
  • School bus monitoring system using Geo-fencing technology
    V Gaikwad, V Rajput, A Amune, V Musale, S Joshi
    AIP Conference Proceedings 3325 (1), 050017 , 2025
    2025
    Citations: 1
  • Solar panel monitoring using IOT
    V Rajput, V Gaikwad, A Amune, V Musale, S Joshi
    AIP Conference Proceedings 3325 (1), 030034 , 2025
    2025
    Citations: 1
  • Smart irrigation control system in precision agriculture with jubatus climber algorithm optimized distributed bilstm
    AC Amune, H Pande, VP Musale
    Irrigation and Drainage 74 (4), 1478-1492 , 2025
    2025
    Citations: 3
  • Decentralized Access Control and Continuous Monitoring in Healthcare Facilities: A Privacy-Preserving Framework Integrating Zero-Knowledge Proofs, Biometric Authentication, and …
    S Kumbhar, A Mourya, V Musale, S Satpute, S Idhate, A Amune
    2025 9th International Conference on Computing, Communication, Control and … , 2025
    2025
  • Enhancing IoT Device Security Using Zeroknowledge Proofs: A Privacy-Preserving Authentication Approach
    RC Kothawade, A Mourya, V Musale, S Kumbhar, A Amune, M Rao
    2025 9th International Conference on Computing, Communication, Control and … , 2025
    2025
  • IoT-based Smart Energy Monitoring and Forecasting using Long Short-Term Memory and Cloud Integration
    A Amune, S Rajurkar, A Pawar, S Rane, P Pichare, R Shendre, V Musale
    2025 3rd International Conference on Sustainable Computing and Data … , 2025
    2025
    Citations: 1
  • Asana Master—Intelligent Yoga Mat
    A Amuna, H Rokde, A Gosavi, G Gulhane, I Chepurwar, A Jadhav, ...
    International Conference on ICT for Sustainable Development, 404-415 , 2025
    2025
  • The legal and ethical crossroads of artificial intelligence in cybersecurity and digital forensics
    G Tiwari, K Pandey, M Desai, V Musale, D Wategaonkar, M Bedekar
    Digital Defence, 93-110 , 2025
    2025
    Citations: 2
  • Securing Electronic Patient Health Information (ePHI): An Analysis of Data Security and Compliance with Privacy Regulations
    V Musale, N Venkatesh, A Dhore, N Karnavat, D Vadgama, M Rao, ...
    2025 International Conference on Intelligent and Cloud Computing (ICoICC), 1-6 , 2025
    2025
    Citations: 1
  • Leveraging Blockchain for Secure Mobile Payment Systems: A Privacy Centric Approach
    V Musale, P Bhosale, S Tharewal, M Rao, O Ninawe, A Amune
    2025 International Conference on Intelligent and Cloud Computing (ICoICC), 1-6 , 2025
    2025
    Citations: 1
  • Speech emotion recognition using combined triplet and single-headed attention-enabled integrated recurrent network
    V Rajput, V Musale, S Mohite, A Amune, S Jadhav
    Biomedical Engineering: Applications, Basis and Communications 37 (02), 2450049 , 2025
    2025
    Citations: 1

MOST CITED SCHOLAR PUBLICATIONS

  • Deep learning approach to detect potholes in real-time using smartphone
    S Silvister, D Komandur, S Kokate, A Khochare, U More, V Musale, ...
    2019 IEEE pune section international conference (PuneCon), 1-4 , 2019
    2019
    Citations: 54
  • Fusion of AI techniques: A hybrid approach for precise plant leaf disease classification
    R Ashtagi, SM Jaybhaye
    Journal of Electrical Systems 20 (1s), 850-861 , 2024
    2024
    Citations: 11
  • Challenges, protocols and case studies in design of reliable energy efficient wireless sensor networks
    V Musale, D Chaudhari
    2017 4th International Conference on Advanced Computing and Communication … , 2017
    2017
    Citations: 10
  • Revolutionizing early liver disease detection: Exploring machine learning and ensemble models
    R Ashtagi, V Musale, VS Rajput, S Chinchmalatpure, S Mohite, RV Bidwe
    International Journal of Intelligent Systems and Applications in Engineering … , 2024
    2024
    Citations: 9
  • Smart waste management system: The integration of IoT, blockchain, deep learning and AI techniques
    A Amune, V Musale, S Jain, S Chakrabarty, S Bisen, S Bhat
    2024 3rd International Conference for Advancement in Technology (ICONAT), 1-7 , 2024
    2024
    Citations: 7
  • Efficient and secure keying mechanism for communication in sensor networks
    V Musale, D Chaudhari
    International Conference on Intelligent Data Communication Technologies and … , 2018
    2018
    Citations: 7
  • Digital identity based recommendation system using social media
    N Jaywant, S Shetty, V Musale
    2016 2nd International Conference on Applied and Theoretical Computing and … , 2016
    2016
    Citations: 7
  • Security Risks in Bluetooth Devices
    VP Musale, SS Apte
    Int. J. Comput. Appl 51, 1-6 , 2012
    2012
    Citations: 7
  • Quantum Computing and Its Implications for Cryptography: Assessing the Security and Efficiency of Quantum Algorithms.
    A Jain, RVS Praveen, V Musale, N Chinthamu, Y Kumar, ...
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
    Citations: 6
  • Blockchain Technology as a Decentralized Solution for Data Security and Privacy: Applications Beyond Cryptocurrencies in Supply Chain Management and Healthcare.
    M Manikandan, V Jain, C Koneti, V Musale, RVS Praveen, S Bansal
    Library of Progress-Library Science, Information Technology & Computer 44 (3) , 2024
    2024
    Citations: 6
  • Utilizing Blockchain for Enhanced Security and Transparency in Library Transactions.
    R Ashtagi, V Rajput, S Mohite, V Musale, SM Jaybhaye, RV Bidwe
    Library of Progress-Library Science, Information Technology & Computer 44 (1) , 2024
    2024
    Citations: 6
  • IoT-Based Intelligent Inhaler System with Temperature, Oximetry Measurement, and Emergency Functionality
    VS Shah, V Musale
    Proceeding of International Conference on Computational Science and … , 2022
    2022
    Citations: 5
  • Prediction and analysis of paddy crops disease in artificial intelligence techniques
    TT Parbat, R Benhal, H Jain, DV Musale
    Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol 3307, 261-268 , 2021
    2021
    Citations: 5
  • Smart irrigation control system in precision agriculture with jubatus climber algorithm optimized distributed bilstm
    AC Amune, H Pande, VP Musale
    Irrigation and Drainage 74 (4), 1478-1492 , 2025
    2025
    Citations: 3
  • Smart Beehive Monitoring System using IoT
    V Gaikwad, A Amune, V Rajput, V Musale, N Rajas, S Kakade
    2024 Second International Conference on Advances in Information Technology … , 2024
    2024
    Citations: 3
  • Crop prevention through machine learning and IOT with cloud security using blockchain
    A Singh, V Musale
    AIP Conference Proceedings 3028 (1), 020068 , 2024
    2024
    Citations: 3
  • Honeypot detection and classification using xgboost algorithm for hyper tuning system performance
    V Musale, P Mandke, D Mukhopadhyay, S Roy, A Singh
    IFIP International Internet of Things Conference, 104-113 , 2023
    2023
    Citations: 3
  • Web usage mining tool by integrating sequential pattern mining with graph theory
    V Musale, D Chaudhari
    2017 1st International Conference on Intelligent Systems and Information … , 2017
    2017
    Citations: 3
  • Exploring The Influence Of Organisational Culture Dimensions On Employee Performance In It Organisations
    MA Tripathi, V Shelake, R Lenka, V Musale
    International Journal of Innovation Management 29 (07n08), 2550016 , 2025
    2025
    Citations: 2
  • The legal and ethical crossroads of artificial intelligence in cybersecurity and digital forensics
    G Tiwari, K Pandey, M Desai, V Musale, D Wategaonkar, M Bedekar
    Digital Defence, 93-110 , 2025
    2025
    Citations: 2