Book Published

1.Weighted Naive Bayes Classifier in Medical:A predictive modeling approach in Breast cancer Detection.(ISBN-978-613-9-92544-5).

International Journal

1. ”Using Data Mining Techniques for Diagnosis & Prognosis of Cancer Disease”.International Journal of Computer Science Engineering and Information Technologies,(IJCSEIT) ,Vol 2,No.2,April 2012.
2. “Predictive Machine Learning Techniques for   Breast Cancer Detection”. International    Journal of Computer Science and Information Technologies, (IJCSIT) Vol. 4 (6) , Dec- 2013, 1023-1028.
3. “Using Bayesian Belief Networks for Prognosis & Diagnosis of Breast     Cancer”. Volume 3, Issue 2, IJARCCE, Feb 2014.
4. “Naive bayes classifiers: A probabilistic detection model for breast cancer” Volume 92 – No.10, April 2014   , International Journal of Computer Applications (IJCA), Newyork, United states with impact factor .825.
5. Weighted Naive Bayes Classifier: A Predictive Model for Breast Cancer Detection.JAn,2016,International Journal of Computer Applications (IJCA), Newyork, United states with impact factor .825. 

        6.Kharya, S., Onyema, E. M., Zafar, A., Wajid, M. A., Afriyie, R. K., Swarnkar, T., & Soni, S. (2022). Weighted Bayesian belief network: a computational intelligence approach for predictive modeling in clinical datasets. Computational Intelligence and Neuroscience, 2022.(SCI-indexed).

        7.Kharya, S., Soni, S., & Swarnkar, T. (2023). Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules. International Journal of Information Technology, 1-9.          (SCOPUS indexed)

        8• Kharya, S., Soni, S., & Swarnkar, T. (2022). Generation of synthetic datasets using weighted bayesian association rules in clinical world. International Journal of Information Technology, 14(6), 3245-3251.       (SCOPUS indexed)

       9. Kharya,S. et al, Development and validation of novel Bayesian Belief Network:A Reliable Fuzzy Weighted Diabetics Predictive Model. Tikrit Journal of Engineering Sciences 2025(.Accepted).               (SCOPUS indexed)

     10. Kharya, S., Soni, S., Pati, A., Panigrahi, A., Giri, J., Qin, H., ... & Swarnkar, T. (2024). Weighted Bayesian Belief Network for diabetics: a predictive model. Frontiers in Artificial Intelligence, 7, 1357121.     (SCIE indexed)   

     11. Shweta Kharya,Tanya Gupta,Sunita Soni,A 2025 survey on Machine Learning-Driven network intrusion detection systems:Trends,challenges anf future directions , International  Journal of scientific development and research, Vol-10,Issue 5,.May2025.                                         (UGC Care)

12.   Shweta Kharya, Tanya Gupta, Sunita Soni, An Ensemble-Based Network
Intrusion Detection System Using Random Forest Algorithm: A 2025 Perspective , International  Journal of scientific development and research, Vol-10,Issue 5,.May2025.  (UGC Care )

National Conference

1. Shweta Kharya,Sunita Soni,Tripti Swarnkar “A brief study of Breast Cancer symptoms, screening methods and preventions”. National conference BITCON 21,BIT, Durg.

International Conference 

1. Shweta Kharya,Sunita Soni,Tripti Swarnkar “Fuzzy Weighted Bayesian Association Rule Mining :A Theoretical Approach”. International Science Congress 2019, BIT,Durg.
2. Shweta Kharya,Sunita Soni,Tripti Swarnkar“Weighted Bayesian Association Rule Mining Algorithm to construct Bayesian Belief Network”, 2019 International Conference on Applied Machine Learning (ICAML) at S ‘O’ A University,Bhubaneshwar,Odisha.DOI 10.1109/ICAML48257.2019.00013.SCOPUS indexed.
3. Kharya,S., et al ,(2025,June).ViTat1.0:An attention based vision transformer model for  in International Conference on Furistic information and communication in association with Traylor and Francis.                            (SCOPUS Indexed)

 MAJOR COURSES/ WORKSHOPS /STTP/FDPS ATTENDED

• Recent Trends and Future prespective of AI in Image processing-Tools,Techniques and Applications:Research Perspective, Dept of Electronics and Communication Engg,S.A Engineering college and Pantech Solutions., 13 /10/2025 to 17/10/2025.

• Generative AI and Prompt Engineering ,Dept of IT,B.S.Abdur Rahman Crescent Institute of science & Technology ,Chennai and Pantech e Learning,22/9/2025 to 27/9/2025

• AICTE Training and Learning Academy FDP on  High Performance Computing,BIT Durg, 6/1/2025 to 11/01/2025

• Cryptography and Network Security, NITTTR,Chandigarh,16/09/2024 to 20/09.2024

• Deep Learning for Engineering Applications,NITTTR,Chamndigarh, 02/09/2024 to 06/09/2024
• AI/ML and Data Science for Industrey 4.0,NITTTR,CHandigarh ,21-08-2023 to 25-08-2023.
• Data Science using R,1 Week ,NITTTR,Chandigarh,17-07-2023 to 21-07-2023.       
• Recent Trends &Tools for Data Analytics 1 Week G H Raisoni College of Engineering , Nagpur 9-01-2023 to 13-01-2023
• Recent Trends in Computer Science 1Week G.Pulla Reddy Engineering College,Kurnool,AP 20th-24th December 2022.
• Python for Data Science, Bennette University,Noida, 21st-25th July 2020
• Online Training on “Data Science”,Intershala Trainings, 5th June-17th july 2020
• Deep Learning & its Applications,Siksha ‘O’ Anusandhan University,Bhubaneshwar,Orissa,11-13 May 2016