Protection motivation theory using multi-factor authentication for providing security over social networking sites. - Haider Mehraj; D. Jayadevappa; Sulaima Lebbe Abdul Haleem; Rehana Parveen; Abhishek Madduri; Maruthi Rohit Ayyagari; Dharmesh Dhabliya (Pattern Recognit. Lett., 2021)

A Review on Comparison of Machine Learning Algorithms for Text Classification. - Mallika Dhingra; Dharmesh Dhabliya; Mahesh Kumar Dubey; Ankur Gupta; Dhoma Harshavardhan Reddy (IC3I, 2022)

Detection of Liver Disease Using Machine Learning Approach. - Pravin Ramdas Kshirsagar; Dhoma Harshavardhan Reddy; Mallika Dhingra; Dharmesh Dhabliya; Ankur Gupta (IC3I, 2022)

A Review on Comparative study of 4G, 5G and 6G Networks. - Pravin Ramdas Kshirsagar; Dhoma Harshavardhan Reddy; Mallika Dhingra; Dharmesh Dhabliya; Ankur Gupta (IC3I, 2022)

A Review on Application of Deep Learning in Natural Language Processing. - Pravin Ramdas Kshirsagar; Dhoma Harshavardhan Reddy; Mallika Dhingra; Dharmesh Dhabliya; Ankur Gupta (IC3I, 2022)

Efficient COVID-19 Identification Using Deep Learning for IoT. - Vivek Veeraiah; A. Pankajam; Ela Vashishtha; Dharmesh Dhabliya; P. Karthikeyan; Radha Raman Chandan (IC3I, 2022)

Cloud security based attack detection using transductive learning integrated with Hidden Markov Model. - Yassine Aoudni; Cecil Donald; Ahmed Farouk; Kishan Bhushan Sahay; D. Vijendra Babu; Vikas Tripathi; Dharmesh Dhabliya (Pattern Recognit. Lett., 2022)

Advanced metering infrastructure for low voltage distribution system in smart grid based monitoring applications. - Thandava Krishna Sai Pandraju; Sarita Samal; Saravanakumar R.; Syed Mufassir Yaseen; Rainu Nandal; Dharmesh Dhabliya (Sustain. Comput. Informatics Syst., 2022)

Towards a high precision in AMI-based smart meters and new technologies in the smart grid. - Anupong Wongchai; R. Azhagumurugan; Kishan Bhushan Sahay; Dharmesh Dhabliya; Ravi Kumar 002; D. Vijendra Babu (Sustain. Comput. Informatics Syst., 2022)

Affine Non-local Means Image Denoising. - Rohit Anand; Valli Madhavi Koti; Mamta Sharma; Supriya Sanjay Ajagekar; Dharmesh Dhabliya; Ankur Gupta (FICTA (1), 2023)

Phonocardiographic Signal Analysis for the Detection of Cardiovascular Diseases. - Deena Nath Gupta; Rohit Anand; Shahanawaj Ahamad; Trupti Patil; Dharmesh Dhabliya; Ankur Gupta (FICTA (2), 2023)

Utilizing Data Mining Techniques to Develop Accurate Predictive Models for Cardiovascular Disease Risk Assessment and Early Detection. - Dharmesh Dhabliya; Monali Ravindra Borade; Nuzhat Fatima Rizvi; Anishkumar Dhablia; Vilas D. Ghonge; Satyajit Dnyandev Sirsat (ICIMMI, 2023)

Utilizing Machine Learning Approaches for Anomaly Detection in Industrial Control Systems. - Priyanka More; Dharmesh Dhabliya; Jambi Ratna Raja Kumar; Supriya Arvind Bhosale; Aarti S. Gaikwad; Sonu V. Khapekar (ICIMMI, 2023)

Investigating Autonomous and Adaptive Communications Systems for Robotics Applications. - Manish Dakhore; Sridhar Thota; Shaweta Narula; Dharmesh Dhabliya; Ayaan Faiz; I. Priya Stella Mary (ICCCNT, 2024)

2D Rises Wavelet Transform for Multiscale Texture Enhancement in Medical Imaging. - Dharmesh Dhabliya; A. Amudha; Shreya Ghosal; J. Joyce Jacob; Prateek Aggarwal; Pallavi (ICCCNT, 2024)

Advantages and Challenges of Utilizing RFID Technology. - Dharmesh Dhabliya; A. Amudha; Ashmeet Kaur; C. Gayathri; Anvesha Garg; V. Vivek (ICCCNT, 2024)

An Analysis of the Performance of Adaptive Error Control Coding Strategies. - Dharmesh Dhabliya; D. Anandhasilambarasan; Varun Ojha 002; D. R. Primmia; Hitesh Kalra; B. S. Sahana (ICCCNT, 2024)

Leveraging Machine Learning in Real-Time Automation for Predictive Maintenance in Industry 4.0. - Dharmesh Dhabliya; D. Anandhasilambarasan; Amanveer Singh; Vinod Waiker; Pratik Paonipagar; Shaji Thomas (ICCCNT, 2024)

Multi-Scale Entropy Based Image Denoising for Multi-frame Image Restoration. - Dharmesh Dhabliya; T. Kuppuraj; Nittin Sharma; S. Sheril; Dinesh Goyal; Srikrishna Baskar Rao (ICCCNT, 2024)

Clinical Diagnosis of Cardiac Diseases Using Anthropometric Features and Deep Learning. - Dharmesh Dhabliya; Aman Mittal; A. Senthilkumar; V. J. Vijayalakshmi; Miguel Ángel Hernández López; T. R. Vijaya Lakshmi (ICCCNT, 2024)

Vehicular Network Security: Threats, Vulnerabilities and Countermeasures. - Dharmesh Dhabliya; N. Thangarasu; Shivam Khurana; X. Mercilin Raajini; Shobhit Goyal; D. T. Arunkumar (ICCCNT, 2024)

Feature Extraction Techniques in Document Image Analysis An Analysis. - Dharmesh Dhabliya; N. Thangarasu; B. Reddy; D. Nirmala; Yuvraj Parmar; Subbulakshmi Ganesan (ICCCNT, 2024)

Pattern-Aware Motion Tracking and Estimation From Low-Resolution Using Deep Learning. - Dharmesh Dhabliya; M. Vigenesh; Hitesh Kalra; R. Srisainath; Amritpal Sidhu; K. Lakshman (ICCCNT, 2024)

Dynamic Spectrum Access in Cognitive Radio Networks: A Game-Theoretic Approach. - Dharmesh Dhabliya; M. Vigenesh; Deepak Minhas; M. Shalini; Sidhant Das; S. RenukaJyothi (ICCCNT, 2024)

A Comparative Analysis of Texture Analysis Methods for Image Retrieval. - Dharmesh Dhabliya; V. J. Vijayalakshmi; Amit Kumar Sharma; Gourav Sood; B. Latha; Y. R. Meena (ICCCNT, 2024)

The smart Cross-Layer Design for Congestion Control in Wireless Networks. - Rakesh Kumar Giri; S. K. Manju Bargavi; Kriti Kusum; Abhinav Mishra; Dharmesh Dhabliya; B. Jaison (ICCCNT, 2024)

Examining the Role of Guardian Communications Software Design for Network Security. - Rakesh Kumar Giri; Madhuri Harshal Chaudhari; Ashish Verma; Dharmesh Dhabliya; L. Vinoth Kumar; B. Jaison (ICCCNT, 2024)

Improving Coverage Efficiency with Autonomous and Adaptive Communications Systems. - Rakesh Kumar Giri; Vibhor Mahajan; Shaweta Narula; S. Selvi; Dharmesh Dhabliya; Riyan Sisiawan Putra (ICCCNT, 2024)

Quality of Service Analysis of Network Coding Algorithms in Cooperative Wireless Networks. - Rakesh Kumar Giri; E. S. Suraj; Neelesh Singh; Dharmesh Dhabliya; L. Vinoth Kumar; B. Jaison (ICCCNT, 2024)

Edge Computing for Distributed and Cooperative Media Algorithms in Connected Networks. - V. Lilly Grace; Anchal Gupta; Rakesh Kumar Giri; Tanuja Satish Dhope; Mani Sarma Vittapu; Dharmesh Dhabliya (ICCCNT, 2024)

Psychological Dimensions of Data Compression & Source Coding for Networking Applications. - Bhanu Juneja; P. Anbarasan; Aruna Sri Rongali; Isa Mishra; Dharmesh Dhabliya; Christina Shiju (ICCCNT, 2024)

Content Delivery Models for Distributed and Cooperative Media Algorithms in Mobile Networks. - Deepak Dasaratha Rao; Dharmesh Dhabliya; Anupkumar Dhore; Monali Sharma; Shabnam S. Mahat; Alok Suresh Shah (ICCCNT, 2024)

Investigating Applications of Run Length Encoding in Data Compression & Source Coding. - Aruna Sri Rongali; Dharmesh Dhabliya; Ishaan Pandey; Ankit Sachdeva; Hirald Dwaraka Praveena; Shibani C. Aich (ICCCNT, 2024)

Exploring the Benefits of Deep Learning for Data Science Practices. - Mohit Kumar Sharma; Ritesh Kumar; Deepak Kumar Sinha; K. K. Senthilkumar; Dharmesh Dhabliya; Gunveen Ahluwalia (ICCCNT, 2024)

Cost-Effective Resource Allocation in Underwater Fibre Optic Networks Using Bandwidth Optimization. - Khushboo Singh; Akhilendra Pratap Singh; V. Janakiraman; Dharmesh Dhabliya; Naveen Kumar Rajendran; Jagtej Singh (ICCCNT, 2024)

AI and Big Data: Achieving Optimal Data Retrieval Solutions. - Akhilendra Pratap Singh; Gourav Sood; K. Venkadeshwaran; Gajendra Shrimal; C. Santhosh Kumar; Dharmesh Dhabliya (ICCCNT, 2024)

Techniques for Minimizing Bandwidth Bottlenecks in Wireless Networks for Electromagnetic Compatibility. - S. Srividhya; V. V. Sai Santoshi; Ayaan Faiz; M. N. Nachappa; Dharmesh Dhabliya; Rakesh Kumar Giri (ICCCNT, 2024)

Variational Autoencoders for Network Lifetime Enhancement in Wireless Sensors. - Boopathi Chettiagounder Sengodan; Prince Mary Stanislaus; Sivakumar Sabapathy Arumugam; Dipak Kumar Sah; Dharmesh Dhabliya; Poongodi Chenniappan; H. James Deva Koresh; Maheswar Rajagopal (Sensors, 2024)