Publications​

Some publications are presented here and rest can be found by searching Google Scholar specified their name.

  1. Payal Bose, Samir K Bandyopadhyay (2021). A Proposed Method for Age Detection of Person Based on the size
  2. of Face to the size of the Eye of a Face Turkish Journal of Computer and Mathematics Education Research
  3. Turkish Journal of Computer and Mathematics Education.
  4. Shawni Dutta, Payal Bose, Vishal Goyal, & Samir K. Bandyopadhyay. (2021). Machine Learning Techniques
  5. and Syntactic Pattern Recognition based Heart Disease Prediction for Smart Health. International Journal of Medical Research & Health Sciences.
  6. Payal Bose, Shawni Dutta, Vishal Goyal, & Samir K. Bandyopadhyay (2021). Leaf Diseases Detection
  7.  
  8. of Medicinal Plants Based on Support Vector Machine Classification Algorithm. Journal of Pharmaceutical Research International.
  9. Payal Bose, Shawni Dutta, Vishal Goyal, & Samir K. Bandyopadhyay (2021). Pharmacy Impact for Distinguishing Normal Face from Abnormal Face Due to COVID- Journal of Pharmaceutical Research International.
  10. Samir K. Bandyopadhyay, Payal Bose, Shawni Dutta (2021). A Vision for an Ideal World. IOSR Journal of Humanities And Social Science (IOSR-JHSS).
  11. Shawni Dutta, Payal Bose, Vishal Goyal, & Samir K. Bandyopadhyay. (2021). Applying Convolutional-GRU for Term Deposit Likelihood Prediction. International Journal of Engineering and Management Research.
  12. Payal Bose, Samir Kumar Bandyopadhyay, Amiya Bhaumik, Sandeep Poddar (2022). Female Diabetic Prediction in India Using Different Learning Algorithms. Universal Journal of Public Health.
  13. Payal Bose, Samir Kumar Bandyopadhyay, Amiya Bhaumik, Sandeep Poddar (2022). Machine Learning and Deep Learning Integration for Skin Diseases Prediction. International Journal of Engineering Trends and Technology.
  14. Shawni Dutta, Payal Bose, Samir Kumar Bandyopadhyay, Midhun chakkaravarthy Janarthanan (2022). A Hybrid Machine Learning Model for Bank Customer Churn Prediction. International Journal of Engineering Trends and Technology.
  15. Tai-Hoon, Kim, Editorial Special Issue on AI Innovations in Intelligent Transportation Systems. IEEE Trans. Intell. Transp. Syst. 23(3): 2279-2283 (2022).
  16. PLS Jayalaxmi, Rahul Saha, Gulshan Kumar, Mauro Conti, Tai-Hoon Kim, Machine and Deep Learning Solutions for Intrusion Detection and Prevention in IoTs: A Survey. IEEE Access 10: 121173-121192 (2022).
  17. Shawni Dutta, Jyotsna Kumar Mandal, Tai Hoon Kim und Samir Kumar Bandyopadhyay, Breast Cancer Prediction Using Stacked GRU-LSTM-BRNN, Applied Computer System, 2020.

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