[1]     Bandyopadhyay, A., Deb, K., Chakraborty, A., Das, A., & Bag, R. (2022). A Neighborhood Impact Driven K-Medoid Clustering and Fuzzy Logic Blended Approach for High Density Impulse Noise Detection and Removal. Traitement du Signal, 39(5), 1737-1749. https://doi.org/10.18280/ts.390532 (IF: 2.29) (SCIE)

[2]     Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2021). High Density Impulse Noise Removal from Color Images by K-means Clustering based Detection and Least Manhattan Distance-oriented Removal Approach. International Journal of Advanced Computer Science and Applications, 12(10). https://doi.org/10.14569/IJACSA.2021.0121067 (IF:1.16) (SCOPUS)

[3]     Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2020). Impulse noise removal by k-means clustering identified fuzzy filter: a new approach. Turkish Journal of Electrical Engineering and Computer Sciences, 28(5), 2838-2862. https://doi.org/10.3906/elk-1910-34 (IF: 0.85) (SCIE)

[4]     Banerjee, S., Bandyopadhyay, A., Mukherjee, A., Das, A., & Bag, R. (2017). Random valued impulse noise removal using region based detection approach. Engineering, Technology & Applied Science Research, 7(6), 2288-2292.  (ESCI)

[5]     Bandyopadhyay, A., Banerjee, S., Das, A., & Bag, R. (2015). A relook and renovation over state-of-art salt and pepper noise removal techniques. IJ Image, Graphics and Signal Processing, 9, 61-69. https://doi.org/10.5815/ijigsp (IF: 0.722) (SCOPUS)

[6] Banerjee, S., Bandyopadhyay, A., Bag, R., & Das, A. (2014). Neighborhood based pixel approximation for high level salt and pepper noise removal. CiiT International Journal of Digital Image Processing, 6(8), 346-351.  

[7] Pal, A., & Bandyopadhyay, A. (2019). Design and Implementation of LSB based Minimum Deviation Steganography technique on High Payload Grayscale Images. International Journal of Innovative Technology and Exploring Engineering, 9(2), 538-542 DOI: 10.35940/ijitee.B6510.129219  (SCOPUS)

[8] Aritra Bandyopadhyay., Minu Kumari., Pooja., Atanu Das and Rajib Bag (2015). Detection and Removal of High Density Random Valued Impulse Noise. CiiT International Journal of Digital Image Processing. Print-ISSN: 0974-9691. Online-ISSN 0974-9586. 7(8). 242-246.

[9] D. Chatterjee, and A. Bandyopadhyay (2015). Important Gene Selection Based on Gene
Expression using Hopfield Network. CiiT International Journal of Networking and
Communication Engineering. 7(1). 1-4.

[10]  Jyothula, S., Bandyopadhyay, A., Raju, R., Shobana, A., Hema, P., Kumar, M, N., Srinivas S, K, V., “A portable server-based analysis of one or more queuing models,” Communications on Applied Nonlinear Analysis, Vol.xx. No.xx. (SCOPUS)

[11]  Honnegowda C K, Balaji Padhy, Nellore Manoj Kumar, Selva Malar N, Bandyopadhyay Aritra, N. Veerraju, and R. Ramakrishna Prasad “Applications Of Fuzzy Soft Digraphs In Several Domains,” Communications on Applied Nonlinear Analysis, Vol.xx. No.xx. (SCOPUS)

[12] Basu, S., & Bandyopadhyay, A. (2025). Density Based Clustering Approach Combined with Fuzzy Logic for Elimination of Random Valued Impulse Noise. Journal of The Institution of Engineers (India): Series B, 1-14. (SCOPUS)

[13] Basu, S., & Bandyopadhyay, A. (2024). Birch Clustering Approach for Detection of Random Valued Impulse Noise. Journal of The Institution of Engineers (India): Series B, 1-9. (SCOPUS)

[1]     Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2021). Random Valued Impulse Noise Detection Using Fuzzy c-Means Clustering Technique. In Smart Computing Techniques and Applications (pp. 397-405). Springer, Singapore. (SCOPUS)

[2]     Banerjee, S., Bandyopadhyay, A., Bag, R., & Das, A. (2020). Four-directional detection-based gaussian noise removal. In Computational Advancement in Communication Circuits and Systems (pp. 269-278). Springer, Singapore. https://doi.org/10.1007/978-981-13-8687-9_24  (SCOPUS)

[3]     Laha, T., Bandyopadhyay, A., Deb, K., & Koley, S. (2022, June). A Methodical Study on Blockchain Technology. In Proceedings of International Conference on Network Security and Blockchain Technology: ICNSBT 2021 (pp. 391-403). Singapore: Springer Nature Singapore. (SCOPUS)

[4]     Bandyopadhyay, A., & Das, D. (2022, May). A Fuzzy Rule Based Directional Approach for Salt and Pepper Noise Removal with Edge Preservation. In Soft Computing and its Engineering Applications: Third International Conference, icSoftComp 2021, Changa, Anand, India, December 10–11, 2021, Revised Selected Papers (pp. 65-77). Cham: Springer International Publishing. (SCOPUS)

[5]     Singh, S. K., Banerjee, S., Chakraborty, A., & Bandyopadhyay, A. (2023). Classification of Melanoma Skin Cancer Using Inception-ResNet. In Frontiers of ICT in Healthcare: Proceedings of EAIT 2022 (pp. 65-74). Singapore: Springer Nature Singapore. (SCOPUS)

 [1]     Bandyopadhyay, A., Deb, K., Das, A., & Bag, R. (2020, September). Manhattan Distance based Nearest Vicinity Guided Filter Design for High Density Salt and Pepper Noise Removal. In 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) (pp. 184-188). IEEE.  (IEEE Conference)

[2]     Banerjee, S., Bandyopadhyay, A., Bag, R., & Das, A. (2016, May). A deviation based identification of random valued impulse noise towards image filtering using neighborhood approximation. In 3rd International Conference, Foundations and Frontiers in Computer, Communication and Electrical Engineering (pp. 217-220). (Taylor Francis Conference)

[3]     Bandyopadhyay, A., Chakraborty, K., Bag, R., & Das, A. (2016). High density salt and pepper noise removal by selective mean filter. Foundations and Frontiers in Computer. Communication and Electrical Engineering, 191-194. (Taylor Francis Conference)

[4]     Banerjee, S., Bandyopadhyay, A., Bag, R., & Das, A. (2015, November). Sequentially combined mean-median filter for high density salt and pepper noise removal. In 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) (pp. 21-26). IEEE. (IEEE Conference)

[5]     Banerjee, S., Bandyopadhyay, A., Bag, R., & Das, A. (2015). Moderate density salt & pepper noise removal. International Conference on Foundation and Frontiers in Computer, Communication and Electrical Engineering (C2E2-2015)- IJECT. 6(1). Spl-1. 44-48.

[6]     A. Sasmal., A. Palit., A. Majumder., D. Bhowmik., S. Chanda., and A. Bandyopadhyay (2015). Android Based Bluetooth Appliance Control Mechanism. (C2E2-2015)- IJECT. ISSN: 2230-7109 (Online). 2230-9543 (Print). 6(1). Spl-1. 85-87.

[7]     S. Nag, and A. Bandyopadhyay, “Online Text Sentiment Analysis using a Hybrid Model Based on BERT and Fuzzy Logic,” MLSC-ES 2024: All India Seminar on Machine Learning and Soft Computing Applications in Engineering and Science, IEI Durgapur Local Centre, Durgapur, India, April 6-7, 2024

[8]      R. Roy, and A. Bandyopadhyay, “An Improved Methodology for Analyzing Resumes and Sorting Candidates Using Statistical Approaches,” MLSC-ES 2024: All India Seminar on Machine Learning and Soft Computing Applications in Engineering and Science, IEI Durgapur Local Centre, Durgapur, India, April 6-7, 2024.

[9]  R. Srimany, and A. Bandyopadhyay, “Fine-Tuned DenseNet for identification of Deepfake Videos with improved resilience ,” 2nd national conference, RAICCIT 2025, JISU, 11 April 2025 at JIS University, Kolkata. [Best Paper Awarded]