[Publications]

Published Journal Papers:

1. P. Ghosh et al., "Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques," in IEEE Access, vol. 9, pp. 19304-19326, 2021, doi: 10.1109/ACCESS.2021.3053759. Scopus-indexed] [Q1_Journal_Link] [Paper]

2. Pronab Ghosh, Asif Karim, Syeda Tanjila Atik, Saima Afrin, mohd Saifuzzaman," Expert Cancer Model Using Supervised Algorithms with a LASSO Feature Selection Approach," International Journal of Electrical and Computer Engineering, Vol. 11, No. 03, December, 2020. ISSN: 2088-8708. [Scopus-indexed] [Q2_Journal_Link] [Paper]

3. F. M. J. M. Shamrat, M. Asaduzzaman, P. Ghosh, Md Dipu Sultan, and Zarrin Tasnim, “A Web Based Application for Agriculture: “Smart Farming System," International Journal of Emerging Trends in Engineering Research, July 2020, ISSN: 2347-3983. [Scopus-indexed] [Journal_Link] [Paper]

4. P. Ghosh, M. Z. Hasan and Dr. M. I. Jabiullah, “A Comparative Study of Machine Learning Approaches on Dateset to Predicting Cancer Outcome", Journal of the Bangladesh Electronic Society, Vol. 18, Num. 1-2, June, December 2018, ISSN: 1816-1510, pp: 81-86. [Paper]

Accepted Journal Papers:

1. Pronab Ghosh, Sami Azam, Ryana Quadir, Shohag Kumar Bhowmik, Asif Karim, Mirjam Jonkman, “SkinNet–16: A Deep Learning Approach to Identify Benign and Malignant Skin Lesions,” Neurocomputing. [Q1 Journal] [Scopus-indexed].

2. Md. Mehedi Hassan, Pronab Ghosh, Khan Md. Hasib, Sami Azam, Asif Karim, Mirjam Jonkman, Ashraful Islam, Asaf Ud Dulla, “DiabNet-5: A Deep Learning based proposition for the effective diagnosis of Diabetes,” Heliyon. [Q1 Journal] [Scopus-indexed].

3. Sidratul Montaha, Sami Azam, A.K.M. Rakibul Haque Rafid, Pronab Ghosh, Md. Zahid Hasan, Md. Mushfiqul Huq, “BreastNet18: A Deep Learning Model to Classify Benign and Malignant Tumor,” Artificial intelligence in medicine. [Q1 Journal] [Scopus-indexed].

Published Conference Papers:

1. P. Ghosh, M. Z. Hasan, S. T. Atik and M. I. Jabiullah, "A Variable Length Key Based Cryptographic Approach on Cloud Data," 2019 International Conference on Information Technology (ICIT), Bhubaneswar, India, 2019, pp. 285-290, doi: 10.1109/ICIT48102.2019.00057. [IEEE Conference Paper] [Scopus-indexed] [Paper]

2. P. Ghosh, M.Z. Hasan, O.A. Dhore, A.A. Mohammad and M. I. Jabiullah, “On the Application of Machine Learning to Predicting Cancer Outcome”, Proceedings of the International Conference on Electronics and ICT – 2018, organized by Bangladesh Electronics Society (BES), Dhaka, Bangladesh on 25-26 November, 2018, pp: 60. [Paper]

3. F. M. J. M. Shamrat, P. Ghosh, M. H. Sadek, M. A. Kazi, S. Shultana “Implementation of Machine Learning Algorithms to Detect the Prognosis Rate of Kidney Disease” 2020 IEEE International Conference for Innovation in Technology, Bengaluru, India. Nov 6-8, 2020. [IEEE_Conference_Paper] [Scopus-indexed] [Paper]

4. F. M. J. M. Shamrat, Z. Tasnim, P. Ghosh, A. Majumder, M. Z. Hasan “Personalization of Job Circular Advertisement to Candidates Using Decision Tree Classification Algorithm” 2020 IEEE International Conference for Innovation in Technology, Bengaluru, India. Nov 6-8, 2020. [IEEE_Conference_Paper] [Scopus-indexed] [Paper]

5. Pronab Ghosh, Atqiya Abida Anjum, Asif Karim, Masum Shah Junayed, Md. Zahid Hasan, Khan Md. Hasib, Al Nahian Bin Emran, "A Comparative Study of Different Deep Learning Model for Recognition of Handwriting Digits," International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS 2020) [ELSEVIER_SSRN_Digital_Library] [Paper]

6. Pronab Ghosh, F. M. Javed Mehedi Shamrat, S. Shultana, S. Afrin, A. A. Anjum and A. A. Khan, "Optimization of Prediction Method of Chronic Kidney Disease Using Machine Learning Algorithm," 2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP), Bangkok, Thailand, 2020, pp. 1-6, doi: 10.1109/iSAINLP51646.2020.9376787. [IEEE_Conference_Paper] [Scopus-indexed] [Paper]

7. F. M. J. M. Shamrat, P. Ghosh, M. D. Sultan, A. Majumder and I. Mahmud “Software-Defined Networking with Multipath Routing Utilizing DFS to Improving Qos” 2nd International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020), (Springer_Conference_Paper ) [Conference_Link] [Scopus-indexed] [Paper]

8. Asif Karim, Eshtiak Ahmed, Sami Azam and Pronab Ghosh, "Mitigating The Latency Induced Delay In Ip Telephony Through An Enhanced De-Jitter Buffer," International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021). [Springer_LNCS] [Paper]

9. Pronab Ghosh, et. al., "Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases," 5th International Conference on Information System and Data Mining (ICISDM2021). [ACM_Conference_Paper] [Paper_Link]

10. Pronab Ghosh, Sami Azam, Khan Md. Hasib, Asif Karim, Mirjam Jonkman, and Adnan Anwar, “A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer", IJCNN 2021 : International Joint Conference on Neural Networks, IEEE_Conference_Paper [A* Conference_Link] [Scopus-indexed]

11. Pronab Ghosh, Sami Azam, Asif Karim, Mr. Mehedi Hassan, Mr. Kuber Roy, Mirjam Jonkman, “A Comparative Study of Different Machine Learning Tools in Detecting Diabetes,” International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Elsevier_Conference_Paper (Poland). [Scopus-indexed] 

Accepted Conference Papers:

1. F.M. J. M. Shamrat, P. Ghosh, I. Mahmud, N. I. Nobel and M. D. Sultan “An Intelligent Embedded AC Automation Model with Temperature Prediction and Human Detection” 2nd International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020), (Springer_Conference_Paper) [Conference_Link] [Scopus-indexed] [Paper]

2. Pronab Ghosh, et. al., "Human Face Recognition Using Eigenface, SURF Methods," International Conference on Pervasive Computing and Social Networking (ICPCSN 2021). [Springer_LNCS]