RESEARCH PUBLICATIONS

Prof. (Dr.) Anil Kumar Bag

International Journal:

  1. Anil Kumar Bag and Diganta Sengupta, “Computational frameworks for zoonotic disease control in Society 5.0: opportunities, challenges and future research directions”, AI & Soc (2024), Springer. Online First. (ESCI, IF 3.0) https://doi.org/10.1007/s00146-024-01992-2
  2. Arindam Sarkar and Dr. Anil Kumar Bag, “COPD Patient Monitoring by Virtue of Internet of Things: A Review,” International Journal of YMER (IF: 5.7), Vol. 21, Issue 7, pp. 676-690, 2022, ISSN: 0044-0477.
  3. Dr. Amitava Akuli, Samikshan Das, Dr. Anil Kumar Bag, Suparna Parua, Alokesh Ghosh, “Morphological Image Processing for Cocoa Bean Classification,” International Journal of YMER (IF: 5.7), Vol. 21, Issue 6, pp. 413-426, 2022, ISSN: 0044-0477, https://www.doi.org/10.37896/YMER21.06/40
  4. Akuli, Amitava; Bag, Anil Kumar; Pal, Abhra; Dey, Tamal; Bej, Gopinath; Majumdar, Sabyasachi; Bhattacharyya, Nabarun; A Novel Machine Vision Technique for Prediction of Alkali Spreading Value in Rice, International Journal of Research in Engineering and Science (IJRES) (IF: 3.541),  ISSN (Online): 2320-9364, ISSN (Print): 2320-9356, www.ijres.org Vol 8(11), pp. 34-44, 2020. http://www.ijres.org/papers/Volume-8/Issue-11/2/H0811023444.pdf
  5. Saumita Kar, Bipan Tudu, Anil K. Bag and Rajib Bandyopadhyay, “Application of Near-Infrared Spectroscopy for the Detection of Metanil Yellow in Turmeric Powder,” Food Anal. Methods (IF: 3), Vol. 11(5), pp. 1291–1302, May 2018, ISSN 1546-198X (Print); ISSN 1546-1971 (Online).
  6. Dutta D; Bag A. K; Ghosh S; Tudu B; Bhattacharyya N; Bandyopadhyay R, “Sensors of Tin Oxide with Additives for Assessment of Tea Aroma and Determination of an Optimized Sensor Array Using Rough Set Theory,” Sensor Letters (IF: 0.502), Volume 15, Number 10, pp. 796-802, October 2017. ISSN 1546-198X (Print); ISSN 1546-1971 (Online)
  7. D. Nath, S. Mazumdar, J. Chandra, A. K. Bag, “A Rough Set based method for Aiming Angle tuning of luminaires for Outdoor Sports Lighting,” Lighting Res. Technol. (IF: 2.5), vol. 48(2) pp. 126–154, 2016. ISSN: 1477-1535 Online ISSN: 1477-0938.
  8. A. Ghosh, A. K. Bag, P.Sharma, B. Tudu, S. Sabhapondit B. D. Baruah P. Tamuly N. Bhattacharyya, and R. Bandyopadhyay, “Monitoring the Fermentation Process and Detection of Optimum Fermentation Time of Black Tea Using an Electronic Tongue,” IEEE Sensors Journal (IF: 4.3), vol. 15(11), pp. 6255-6262, 2015., Print ISSN: 1530-437X, Electronic ISSN: 1558-1748
  9. B. Tudu, S. Ghosh, A.K. Bag, D. Ghosh, N. Bhattacharyya, R. Bandyopadhyay, “Incremental FCM technique for black tea quality evaluation using an electronic nose,” Fuzzy Inf. Eng., Elsevier (IF: 1.42), vol. 7, pp. 275–289, 2015. ISSN 1616-8658.
  10. A. K. Bag, B. Tudu, N. Bhattacharyya, and R. Bandyopadhyay, “Dealing With Redundant Features and Inconsistent Training Data in Electronic Nose: A Rough Set Based Approach,” IEEE Sensors Journal (IF: 4.3), vol. 14 (3), pp. 758-767, 2014. Print ISSN: 1530-437X, Electronic ISSN: 1558-1748
  11. A. K. Bag, B. Tudu, J. Roy, N. Bhattacharyya, and R. Bandyopadhyay, “Optimization of sensor array in electronic nose: a rough set-based approach,” IEEE Sensors Journal (IF: 4.3), vol. 11, pp. 3000-3008, 2011. Print ISSN: 1530-437X, Electronic ISSN: 1558-1748 

International Conferences:

  1. Reshma Sengupta, Dr. Anil Kumar Bag, Dr. Bipan Tudu and Dr. Rajib Bandyopadhyay, ”Machine Learning Approach of Polyphenol Content Prediction for Fresh Tea Leaves using NIR Spectroscopy,” proceedings of International Conference on Systems and Technologies for Smart Agriculture (ICSTA 2023), Springer Nature Singapore Pte Ltd., Singapore, December, 2023.
  2. Amitava Akuli, Anil Kumar Bag, Arindam Sarkar, Abhra Pal, Sabyasachi Majumdar, Tamal Dey, Gopinath Bej, Srimoyee Chaudhury, Dr. Nabarun Bhattacharyya (2020) “Discrimination of Rice Based on Alkali Spreading Value (ASV) by Machine Vision Technique.” In: Dawn S., Balas V., Esposito A., Gope S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_111
  3. S. Kar, B. Tudu, R. Bandyopadhyay and A. K. Bag, “Discrimination of turmeric brands by means of near infrared (NIR) spectroscopy combined with chemometrics,” 2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI), Kolkata, pp. 74-78, Oct-2016.
  4. A. K. Bag, B. Tudu, N. Bhattacharyya and R. Bandyopadhyay, “Rough Set Based Classification on Electronic Nose Data for Black Tea Application,” Proceedings of the 2nd international conferences on advances in computing and information technology, Chennai, India,  AISC, Springer-Verlag Berlin Heidelberg, vol. 178, pp. 23-31, 13-15 July, 2012.
  5. A. K. Bag, B. Tudu, N. Bhattacharyya and R. Bandyopadhyay, “Removal of Inconsistent Training Data in Electronic Nose Using Rough Set,” Proceedings of the 2nd international conferences on advances in computing and information technology, Chennai, India, AISC, Springer-Verlag Berlin Heidelberg, vol. 177, pp. 115-123, 13-15 July, 2012.
  6. R. Bandyopadhyay, A. K. Bag, B. Tudu, and N. Bhattacharyya, “Electronic Nose Sensor Array Optimization Using Rough Set Theory,” Proceedings of the 14th international symposium on olfaction and electronic nose (ISOEN 2011), New York, USA, AIP Conf. Proc. 1362, pp. 64-65, 2–5 May 2011.
  7. D. Bhattacharyya, A. K. Bag, B. Tudu, N. Bhattacharyya and R. Bandhopadhyay, “Fuzzy ARTMAP technique for quality evaluation of tea using electronic nose,” Proceeding of International Conference MS’07, India, , vol. 1, pp. 297-301, 3-5 December, 2007.
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National Conference:

A. K. Bag, B. Tudu, J. Roy, N. Bhattacharyya, and R. Bandyopadhyay, “Optimization of sensor array using rough set theory,” Proceedings of national conference NATCONIC 2011, India, pp. 148-153, 6-7 January, 2011.

Book Chapter:

Bandyopadhyay R., Bag A.K. (2017) Interfacing and Pre-processing Techniques with Olfactory and Taste Sensors. In: George B., Roy J., Kumar V., Mukhopadhyay S. (eds) Advanced Interfacing Techniques for Sensors. Smart Sensors, Measurement and Instrumentation, vol 25. Springer, Cham, 978-3-319-55368-9., https://doi.org/10.1007/978-3-319-55369-6_8.

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