Sinha, P., Bafna, P. B., & Saini, J. R. (2022). Hindi Speech-Based Healthcare Chatbot. In Smart Intelligent Computing and Applications, Volume 2 (pp. 369-391). Springer, Singapore.

Raj, N. V., & Saini, J. R. (2023). Loyalty Score Generation for Customers Using Sentimental Analysis of Reviews in e-commerce. In Emerging Technologies in Data Mining and Information Security (pp. 461-473). Springer, Singapore.

Rajadhyaksha, C. N., & Saini, J. R. (2022, April). Robotic Process Automation for Software Project Management. In 2022 IEEE 7th International conference for Convergence in Technology (I2CT) (pp. 1-5). IEEE.

Desai, P., Saini, J. R., & Bafna, P. B. (2022, May). POS-based Classification and Derivation of Kannada Stop-words using English Parallel Corpus. In 2022 3rd International Conference for Emerging Technology (INCET) (pp. 1-5). IEEE.

Kumar, S., Saini, J. R., & Bafna, P. B. (2023). Identification of Malayalam Stop-Words, Stop-Stems and Stop-Lemmas Using NLP. In IOT with Smart Systems (pp. 341-350). Springer, Singapore.

Samak, A. R., Bafna, P. B., & Saini, J. R. (2023). A Novel Marathi Speech-Based Question and Answer Chatbot for the Educational Domain. In ICT with Intelligent Applications (pp. 379-388). Springer, Singapore.

Pahuja, H., Saini, J. R., Kotecha, K., Rakholia, R., & Tailor, J. (2022, June). A Novel Analysis of Readability Indices of MOOC Transcripts for e-Learner Retainment. In 2022 2nd International Conference on Intelligent Technologies (CONIT) (pp. 1-7). IEEE.

Richa Manglani,and Anuja Bokhare “Logistic Regression Model for Loan Prediction :A Machine learning approach,” 2021 IEEE Sponsored International Conference on Emerging Trends in Industry 4.0 (ETI 4.0), University, Raigarh,Chhattisgarh, India during 19 – 21, May 2021. IEEE, doi: 10.1109/ETI4.051663.2021.9619201 (1dec2021) E-ISBN:978-1-6654-2237-6

Katyayan A., Bokhare A., Gupta R., Kumari S., Pardeshi T. (2022) Analysis of Unsupervised Machine Learning Techniques for Customer Segmentation. In: Chen J.IZ., Wang H., Du KL., Suma V. (eds) Machine Learning and Autonomous Systems. pp483-498. Part of Book Series Smart Innovation, Systems and Technologies (SIST,vol 269).pp 483-498) Springer, Singapore. https://doi.org/10.1007/978-981-16-7996-4_35 (10 feb 2022)

Oza, A., Bokhare, A. (2022). Diabetes Prediction Using Logistic Regression and K-Nearest Neighbor. In: Saraswat, M., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 111. Springer, Singapore. https://doi.org/10.1007/978-981-16-9113-3_30, Published on 01 July 2022

Kulkarni, R., Bokhare, A. (2022). Linear Regression for Car Sales Prediction in Indian Automobile Industry. In: Saraswat, M., Sharma, H., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 111. Springer, Singapore. https://doi.org/10.1007/978-981-16-9113-3_31. published on 01 July 2022

Gupta, K. K., Anil, A., Anand, A., & Kaveri, P. R. (2020, January). Understanding the need for machine learning as a solution for financial analysis of IT industries. In 2020 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-5). IEEE.