Publications

2024

116. S Das Quantum Convolutional Neural Networks for Enhanced Crop Disease Detection and Management: A Step Towards Intelligent Farming Systems. [Accepted in ICDMAI 2025, scopus indexed]

115. M. Ghosh, P. Ray, J. Mukherjee and A. Chakrabarti “Water Withdrawal Trends Across Multiple UN Member Nations using Time Series Forecasting” [Accepted in [Accepted in ICDMAI 2025, scopus indexed]

114. K. Guha, J. Mukherjee, A. Chakrabarti and M. Kar, “Energy Efficient XceptionNet Accelerator with e-FPGAs for XAI based Risk Prediction of Skin Abnormalities”. [Accepted in ICDMAI 2025, scopus indexed]

113. S. Upadhyay, D. Mukherjee, L. Shaw, R. D. Mahapatra and J. Mukherjee “Automated Identification and Disease Detection of Rosaceae Species Using Deep Learning Techniques”. [Accepted in ICDMAI 2025, scopus indexed]

112. S. Roy, J. Mukherjee, P. Ghosh, M. Patra, A. Sadhukhan, A. Charit and A. Mukhopadhyay “A Study of Genome Compression Algorithms for Industrial versus Scientific Applications Focusing Sequences in Raw and FASTA/Q Formats”. [Accepted in ICDMAI 2025, scopus indexed]

111. J. Mukherjee, M.Kar, A. Chakrabarti, S Das “An Automated Methodology for Detection of Pulmonary Nodules in Chest X-rays Using Image Dimensionality Reduction and Hybrid CNN-SVDD” [Accepted in ICDMAI 2025, scopus Indexed]

110. T. S Das, J. Mukherjee, M. Kar, A. Chakrabarti, K. Guha “A LLM and Explainable AI Assistive Model for Improvement of User’s Query in a Chatbot for Women Cancer Awareness for Indian Lay People” [Accepted in ICDMAI 2025, scopus Indexed]

109. S. Das, H. Mazumdar, K. R. Khondakar, Y. K. Mishra, and A. Kaushik, "Quantum biosensors: Principles and applications in medical diagnostics," ECS Sensors Plus, vol. 3, no. 2, p. 025001, 2024.

108. S. Das, H. Mazumdar, K. R. Khondakar, and A. Kaushik, "Machine learning assisted enhancement in a two-dimensional material’s sensing performance," ACS Appl. Nano Mater., vol. 2024, pp. 1-9, 2024.

107. Baggu, A. Hegde, H. Morayya, S. A. Yallapragada, and H. Mazumdar, "Machine learning-based space risk management: Asteroid and solar flare prediction," in 2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES), 2024, pp. 1-6. IEEE.

106. H. Mazumdar, K. R. Khondakar, S. Das, and A. Kaushik, "Aspects of 6th generation sensing technology: from sensing to sense," Frontiers in Nanotechnology, vol. 6, p. 1434014, 2024.

105. S. PDas and H. Mazumdar, "Integration of Artificial Intelligence and Computational Thinking in Lab-on-a-chip Technology for Quality Improvement in Healthcare," 2024.

104. S. Das, G. Chakraborty, R. K. Pal, A. Banik, and D. Joarda, "An AI-Based Integrated Framework for Motion-Activated Facial Recognition," in Proc. Int. Conf. Innovations Data Analytics, Singapore, Nov. 2023, pp. 381-393. Springer Nature Singapore.

103. S. Das, S. Pratihar, and B. Pradhan, "Multisensor-Based Multitasking Goggles," Recent Advances in Artificial Intelligence & Smart Applications, vol. 2024, p. 1, 2024.

102. S. Das, S. Pratihar, B. Pradhan, R. H. Jhaveri, and F. Benedetto, "IoT-assisted automatic driver drowsiness detection through facial movement analysis using deep learning and a U-Net-based architecture," Information, vol. 15, no. 1, p. 30, 2024.

101. S. Das, A. Bhattacharjee, G. Chakraborty, and D. Joardar, "Evaluating the readability of English language using machine learning models," How Machine Learning is Innovating Today's World: A Concise Technical Guide, pp. 69–88, 2024.

100. Adhikari, B., Chatterjee, D.,Chakraborty, B., Parbat, G. & Gope, B. "Applications of Computational Learning and IoT in Smart Road Transportation System.", Book Series: Springer Tracts on Transportation and Traffic (SCOPUS INDEXED)[Accepted]

99. Vijay, A., Roy. G & Chakraborty, B. "Symbolic Music Generation using Natural Language Processing with Probabilistic and Deep Learning Approaches", ICDMAI.[Accepted]

98. Adhikari, B., Das, P. & Chakraborty, B. "Comparative Analysis of Different Generative AI Models For Scholarly Articles on Blockchain Technology", ICDMAI.[Accepted]

97. Kesari, N., Sadhya, D. & Chakraborty, B. "Mitigating Packet-level Signature Attacks in PINGPONG via Differential Privacy", IEEE ANTS 2024.[Accepted]

96. Chaurasia, B.K., Chakraborty, B. & Sadhya, D. "Trust computation in VNs using blockchain.", Wireless Netw (2024). https://doi.org/10.1007/s11276-024-03851-w

95. Kar, M., Mukherjee, J., Chakrabarti, A., and Das, S., "Application of Artificial Intelligence in Early Detection of Lung Cancer," Elsevier, 2024.

94. Sarkar, J. Mukherjee, M. Kar, and A. Chakrabarti, "A Graphical Neural Network-Based Chatbot Model for Assisting Cancer Patients with Dietary Assessment in their Survivorship," in Proc. Int. Conf. Data Management, Analytics & Innovation, Singapore, Jan. 2024, pp. 355–369. Springer Nature Singapore.

2023

93. Ghosh, P., Pal, D., Maity, B., Nath, M., & Ganguly, R. (2023, November). A State-of-the-Art Analysis of Genetic Algorithm in Cryptography. In International Conference on Innovations in Data Analytics (pp. 427-435). Singapore: Springer Nature Singapore.

92. V. Rai, A. Chakrabarty, S. Bose, D. Pal, D. Bhattacharjee, F. Ahmed, S. R. Chowdhury, and M. Maity, "AI-Driven Smartphone Screening for Early Detection of Oral Potentially Malignant Disorders," in 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Apr. 2024, pp. 1–5.

91. M. Kar and J. Mukherjee, "Artificial Intelligence is Poised to be a Premier Player in the Future of Health Care," Bengal Physician Journal, vol. 10, no. 2, pp. 47-49, 2023.

90. P. G. Shekar, R. Singh, D. Sadhya, and B. Chakraborty, "Distributed and hash-based mixers for user anonymity on blockchain," Cryptology and Network Security with Machine Learning: Proceedings of ICCNSML 2022, vol. 1, pp. 179, 2023.

89. S. Das, S. Pratihar, and B. Pradhan, "Multisensor-based multitasking goggles to reduce road accidents," in Int. Conf. Recent Adv. Artif. Intell. Smart Appl., Singapore, Dec. 2023, pp. 1-12, Springer Nature Singapore.

88. R. Prasad, S. Chattopadhyay, and S. Das, "Trustworthiness of Customer Reviews of E-Commerce Portal Using Supervised and Semi-supervised Machine Learning Techniques," in Machine Vision and Augmented Intelligence: Select Proceedings of MAI 2022, Singapore: Springer Nature Singapore, 2023, pp. 553-559.

2022

87.

Purkayastha, R., Roy, A. (2022). A Study on Sequential Transactions Using Smart Card Based Cloud Voting System. In: , et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_61

86.

G. Mobin and A. Roy, "Smart card based Integrated Cloud Transportation System," 2022 International Conference on Electronics and Renewable Systems (ICEARS), 2022, pp. 1588-1596, doi: 10.1109/ICEARS53579.2022.9752142.

85.

Biswas, A., Roy, A. (2022). Blockchain-Based User Authentication in Cloud Governance Model. In: Raj, J.S., Palanisamy, R., Perikos, I., Shi, Y. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-16-2422-3_64

84.

Das, T., Roy, A., Majumdar, A.K. (2022). Ontology Based Knowledge Visualization for Domestic Violence Cases. In: , et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_55

83.

Das, T., Sil, R., Roy, A., Majumdar, A.K. (2022). UML-Based Modelling for Legal Rule Using Natural Language Processing. In: Sanyal, G., Travieso-González, C.M., Awasthi, S., Pinto, C.M.A., Purushothama, B.R. (eds) International Conference on Artificial Intelligence and Sustainable Engineering. Lecture Notes in Electrical Engineering, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-16-8542-2_39

82.

Simpy Simulation of Patient Priority-Based Cloud Healthcare System #MISSING

81.

Ukil, S., Ghosh, S., Obaidullah, S.M., Santosh, K.C., Roy, K., Das, N. (2021). Deep Learning for Word-Level Handwritten Indic Script Identification. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_42

80.

Bodhisatwa Mandal, Ritesh Sarkhel, Swarnendu Ghosh, Nibaran Das, Mita Nasipuri, Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks, Pattern Recognition, Volume 109, 2021, 107595, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2020.107595

79.

KC Santosh, Nibaran Das, Swarnendu Ghosh, In Primers in Biomedical Imaging Devices and Systems, Deep Learning Models for Medical Imaging, Academic Press, 2022, Pages i-iii, ISBN 9780128235041, https://doi.org/10.1016/B978-0-12-823504-1.00002-7

78.

Ghosh, S., Das, N., Sarkar, P. et al. JU-VNT: a multi-spectral dataset of indoor object recognition using visible, near-infrared and thermal spectrum. Multimed Tools Appl 80, 17807–17826 (2021). https://doi.org/10.1007/s11042-020-10302-z

77.

Mohapatra, S., Satpathy, S. & Mohanty, S.N. A comparative knowledge base development for cancerous cell detection based on deep learning and fuzzy computer vision approach. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-12824-0

76.

Subhasish Mohapatra & Abhishek Roy (2022) Simpy Simulation of Patient Priority-Based Cloud Healthcare System, IETE Journal of Research, DOI: 10.1080/03772063.2022.2055661

75.

Tanaya Das. “Ontologies in Various Domains: A New Perspective of Ideas". Medicon Engineering Themes 2.2 (2022): 18-20.

74.

Sil, R. et al. (2022). DAMONA: A Multi-robot System for Collection of Waste in Ocean and Sea. In: Sharma, D.K., Peng, SL., Sharma, R., Zaitsev, D.A. (eds) Micro-Electronics and Telecommunication Engineering . Lecture Notes in Networks and Systems, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-16-8721-1_15 A Review on Applications of Artificial Intelligence Over Indian Legal System

2021

73.

D. Beniwal, A. Roy, H. Yadav and A. Chauhan, "Detection of Pulsars by Classical Machine Learning Algorithms," 2021 2nd International Conference for Emerging Technology (INCET), 2021, pp. 1-7, doi: 10.1109/INCET51464.2021.9456250.

72.

Mohapatra, S., Roy, A. (2021). A Study on Mediclaim Processing in Connected Healthcare System. In: Chakraborty, M., Jha, R.K., Balas, V.E., Sur, S.N., Kandar, D. (eds) Trends in Wireless Communication and Information Security. Lecture Notes in Electrical Engineering, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-33-6393-9_

71.

Chanbeom Bak, Abhishek Ghosh Roy, Hungsun Son, Quality prediction for aluminum diecasting process based on shallow neural network and data feature selection technique, CIRP Journal of Manufacturing Science and Technology, Volume 33, 2021, Pages 327-338, ISSN 1755-5817, https://doi.org/10.1016/j.cirpj.2021.04.001

70.

Gupta, M., Paul, P., Roy, A. (2021). A Study on Cloud Employment Tracking System. In: Chakraborty, M., Jha, R.K., Balas, V.E., Sur, S.N., Kandar, D. (eds) Trends in Wireless Communication and Information Security. Lecture Notes in Electrical Engineering, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-33-6393-9_36

69.

Biswas, A., Sil, R., Roy, A. (2021). A Study on Application of Interplanetary File System. In: Sharma, H., Gupta, M.K., Tomar, G.S., Lipo, W. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. https://doi.org/10.1007/978-981-16-1089-9_79

68.

Sil, R., Debnath, N., Roy, A. (2021). Study on Resource Monitoring of E-Healthcare System. In: Mukherjee, M., Mandal, J., Bhattacharyya, S., Huck, C., Biswas, S. (eds) Advances in Medical Physics and Healthcare Engineering. Lecture Notes in Bioengineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-6915-3_43

67.

Machine Learning Approach For Automated Legal Text Classification #ABHISHEK ROY MISSING

66.

Paul, S., Bandyopadhyay, K., Roy, A. (2021). A Study on Integrated Cloud Education System. In: Sengodan, T., Murugappan, M., Misra, S. (eds) Advances in Electrical and Computer Technologies. ICAECT 2020. Lecture Notes in Electrical Engineering, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-15-9019-1_26

65.

Das, T., Mohapatra, S., Roy, A. (2021). Insurance Policy Claim Verification Model of Unnatural Death Cases – An Artificial Intelligence Based Approach. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_41

64.

G. Mobin and A. Roy, "A literature review on cloud based smart transport system," 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021, pp. 1245-1250, doi: 10.1109/ICOEI51242.2021.9452884.

63.

Mohapatra, S., Parija, S., Roy, A. (2021). UML Conceptual Analysis of Smart Contract for Health Claim Processing. In: Panda, S.K., Jena, A.K., Swain, S.K., Satapathy, S.C. (eds) Blockchain Technology: Applications and Challenges. Intelligent Systems Reference Library, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-030-69395-4_9

62.

Saha, D., Sil, R., Roy, A. (2021). A Study on Implementation of Text Analytics over Legal Domain. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_54

61.

Sil, R., Saha, D., Roy, A. (2021). A Study on Argument-Based Analysis of Legal Model. In: Abraham, A., Sasaki, H., Rios, R., Gandhi, N., Singh, U., Ma, K. (eds) Innovations in Bio-Inspired Computing and Applications. IBICA 2020. Advances in Intelligent Systems and Computing, vol 1372. Springer, Cham. https://doi.org/10.1007/978-3-030-73603-3_42

60.

Sil, Riya & ., Alpana & Roy, Abhishek & Dasmahapatra, Mili & Dhali, Debojit. (2021), “An intelligent approach for automated argument based legal text recognition and summarization using machine learning”. Journal of Intelligent & Fuzzy Systems. 41. 1-10. 10.3233/JIFS-189867.

59.

Biswas, A., Roy, A. (2021). Multilevel User Verification in Cloud Banking System. In: Balas, V.E., Hassanien, A.E., Chakrabarti, S., Mandal, L. (eds) Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing. Lecture Notes on Data Engineering and Communications Technologies, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-33-4968-1_41

58.

Mohapatra, S., Paul, K., Roy, A. (2021). Object-Oriented Modeling of Cloud Healthcare System Through Connected Environment. In: Mandal, J., Mukhopadhyay, S., Roy, A. (eds) Applications of Internet of Things. Lecture Notes in Networks and Systems, vol 137. Springer, Singapore. https://doi.org/10.1007/978-981-15-6198-6_14

57.

R. Purkayastha and A. Roy, "Static Structure of Smart Card based Cloud Voting System," 2021 2nd Global Conference for Advancement in Technology (GCAT), 2021, pp. 1-9, doi: 10.1109/GCAT52182.2021.9587878.

56.

Biswas, A., Indu, P., Bhattacharyya, S. (2021). Real-Time Watermarking of Medical Images and Secure Transmission Through Steganography. In: Mukherjee, M., Mandal, J., Bhattacharyya, S., Huck, C., Biswas, S. (eds) Advances in Medical Physics and Healthcare Engineering. Lecture Notes in Bioengineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-6915-3_49

55.

Indu, P., Bhattacharyya, S. (2021). Hiding IoT Communication Using DCT Difference Modulation (DCTDM). In: Mukherjee, M., Mandal, J., Bhattacharyya, S., Huck, C., Biswas, S. (eds) Advances in Medical Physics and Healthcare Engineering. Lecture Notes in Bioengineering. Springer, Singapore. https://doi.org/10.1007/978-981-33-6915-3_37

54.

Sekhar Bandyopadhyay, S., Kumar Halder, A., Chatterjee, P., Sroka, J., Nasipuri, M., Basu, S. (2021). Analysis of Large-Scale Human Protein Sequences Using an Efficient Spark-Based DBSCAN Algorithm. In: Bhattacharjee, D., Kole, D.K., Dey, N., Basu, S., Plewczynski, D. (eds) Proceedings of International Conference on Frontiers in Computing and Systems. Advances in Intelligent Systems and Computing, vol 1255. Springer, Singapore. https://doi.org/10.1007/978-981-15-7834-2_56

53.

Mohapatra, S., Satpathy, S., Paul, D. (2021). Data-Driven Symptom Analysis and Location Prediction Model for Clinical Health Data Processing and Knowledgebase Development for COVID-19. In: Nandan Mohanty, S., Saxena, S.K., Satpathy, S., Chatterjee, J.M. (eds) Applications of Artificial Intelligence in COVID-19 . Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore. https://doi.org/10.1007/978-981-15-7317-0_6

52.

Mohapatra, Subhasish & Parija, Smita. (2020). A Brief Overview of Blockchain Algorithm and Its Impact upon Cloud-Connected Environment. 10.1201/9781003032588-7.

51.

Mohapatra, S. and Anand, K. (2021). An Expert System to Implement Symptom Analysis in Healthcare. In Integration of Cloud Computing with Internet of Things (eds M. Mangla, S. Satpathy, B. Nayak and S.N. Mohanty). https://doi.org/10.1002/9781119769323.ch4

50.

49.

Mohapatra, S., Parija, S. (2021). IoT-Based Modeling of Electronic Healthcare System Through Connected Environment. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1199. Springer, Singapore. https://doi.org/10.1007/978-981-15-6353-9_38

48.

47.

Mohapatra, S., Parija, S. (2021). A Brief Understanding of Blockchain-Based Healthcare Service Model Over a Remotely Cloud-Connected Environment. In: Suma, V., Bouhmala, N., Wang, H. (eds) Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 53. Springer, Singapore. https://doi.org/10.1007/978-981-15-5258-8_87

46.

Sil, Riya and Labib Chy, Shamin Shahriar and Bose, Sumita and Kabir Mollick, Humayun, A Study on Interactive Automated Agent based Response System over Legal Domain (January 18, 2021). ICICNIS 2020, http://dx.doi.org/10.2139/ssrn.3768280

45.

Purkayastha, Roneeta and Roy, Abhishek, An Integrated Environment for Cloud Voting System using Edge Computing (January 19, 2021). ICICNIS 2020, http://dx.doi.org/10.2139/ssrn.3769149

44.

R. Purkayastha and A. Roy, "Object Oriented Modelling of Cloud Voting System," 2021 Asian Conference on Innovation in Technology (ASIANCON), 2021, pp. 1-7, doi: 10.1109/ASIANCON51346.2021.9544953.

2020

43.

Das, T., Roy, A., Majumdar, A.K. (2020). A Study on Legal Knowledge Base Creation Using Artificial Intelligence and Ontology. In: Raj, J., Bashar, A., Ramson, S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-030-38040-3_73

42.

Ghosh, A., Das, T., Majumder, S., Roy, A. (2020). Authentication of User in Connected Governance Model. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1230. Springer, Singapore. https://doi.org/10.1007/978-981-15-5830-6_10

41.

R. Sil and A. Roy, "A Novel Approach on Argument based Legal Prediction Model using Machine Learning," 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020, pp. 487-490, doi: 10.1109/ICOSEC49089.2020.9215310

40.

Kalpita Dutta, Malyaban Bal, Arpita Basak, Swarnendu Ghosh, Nibaran Das, Mahantapas Kundu, Mita Nasipuri, Multi scale mirror connection based encoder decoder network for text localization, Pattern Recognition Letters, Volume 135, 2020, Pages 64-71, ISSN 0167-8655, https://doi.org/10.1016/j.patrec.2020.04.002.

39.

Dey, S., Das, S., Ghosh, S., Mitra, S., Chakrabarty, S., Das, N. (2020). SynCGAN: Using Learnable Class Specific Priors to Generate Synthetic Data for Improving Classifier Performance on Cytological Images. In: Babu, R.V., Prasanna, M., Namboodiri, V.P. (eds) Computer Vision, Pattern Recognition, Image Processing, and Graphics. NCVPRIPG 2019. Communications in Computer and Information Science, vol 1249. Springer, Singapore. https://doi.org/10.1007/978-981-15-8697-2_3

38.

A. Dutta, B. Mandal, S. Ghosh and N. Das, "Using thermal intensities to build conditional random fields for object segmentation at night," 2020 4th International Conference on Computational Intelligence and Networks (CINE), 2020, pp. 1-6, doi: 10.1109/CINE48825.2020.234402

37.

Indu, Pabak & Bhattacharyya, Souvik. (2020). Early Work Vis-à-Vis Current Trends in Internet of Things Security. 10.1007/978-3-030-50244-7_8.

36.

A. K. Halder, S. S. Bandyopadhyay, P. Chatterjee, M. Nasipuri, D. Plewczynski and S. Basu, "JUPPI: A Multi-Level Feature Based Method for PPI Prediction and a Refined Strategy for Performance Assessment," in IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 19, no. 1, pp. 531-542, 1 Jan.-Feb. 2022, doi: 10.1109/TCBB.2020.3004970.

35.

Mohapatra, S., Parija, S. (2020). A Brief Understanding of IOT Health Care Service Model Over Remotely Cloud Connected Environment. In: Mohanty, M., Das, S. (eds) Advances in Intelligent Computing and Communication. Lecture Notes in Networks and Systems, vol 109. Springer, Singapore. https://doi.org/10.1007/978-981-15-2774-6_6

34.

33.

Mohapatra, S. and Anand, K. (2020). A Brief Model Overview of Personalized Recommendation to Citizens in the Health-Care Industry. In Recommender System with Machine Learning and Artificial Intelligence (eds S.N. Mohanty, J.M. Chatterjee, S. Jain, A.A. Elngar and P. Gupta). https://doi.org/10.1002/9781119711582.ch2

32.

Purkayastha, R., Chakraborty, T., Saha, A., Mukhopadhyay, D. (2020). Study and Analysis of Various Heuristic Algorithms for Solving Travelling Salesman Problem—A Survey. In: Mandal, J., Mukhopadhyay, S. (eds) Proceedings of the Global AI Congress 2019. Advances in Intelligent Systems and Computing, vol 1112. Springer, Singapore. https://doi.org/10.1007/978-981-15-2188-1_5

2019

31.

S. Biswas and A. Roy, "An Intrusion Detection System Based Secured Electronic Service Delivery Model," 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), 2019, pp. 1316-1321, doi: 10.1109/ICECA.2019.8822016.

30.

A. Roy, "Smart delivery of multifaceted services through connected governance," 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC), 2019, pp. 476-482, doi: 10.1109/ICCMC.2019.8819851

29.

R. Sil, A. Roy, B. Bhushan and A. K. Mazumdar, "Artificial Intelligence and Machine Learning based Legal Application: The State-of-the-Art and Future Research Trends," 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 2019, pp. 57-62, doi: 10.1109/ICCCIS48478.2019.8974479.

28.

Das, A., Ghosh, S., Sarkhel, R., Choudhuri, S., Das, N., Nasipuri, M. (2019). Combining Multilevel Contexts of Superpixel Using Convolutional Neural Networks to Perform Natural Scene Labeling. In: Kalita, J., Balas, V., Borah, S., Pradhan, R. (eds) Recent Developments in Machine Learning and Data Analytics. Advances in Intelligent Systems and Computing, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-13-1280-9_28

27.

Ukil, S., Ghosh, S., Obaidullah, S.M. et al. Improved word-level handwritten Indic script identification by integrating small convolutional neural networks. Neural Comput & Applic 32, 2829–2844 (2020). https://doi.org/10.1007/s00521-019-04111-1

26.

Swarnendu Ghosh, Nibaran Das, Ishita Das, and Ujjwal Maulik. 2019. Understanding Deep Learning Techniques for Image Segmentation. ACM Computing. Surveys. 52, 4, Article 73 (July 2020), 35 pages. https://doi.org/10.1145/3329784

25.

S. Ghosh, P. Shaw, N. Das and K. C. Santosh, "GSD-Net: Compact Network for Pixel-Level Graphical Symbol Detection," 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW), 2019, pp. 68-73, doi: 10.1109/ICDARW.2019.00017

24.

Ghosh, S., Pal, A., Jaiswal, S. et al. SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving. Int. J. Mach. Learn. & Cyber. 10, 3145–3154 (2019). https://doi.org/10.1007/s13042-019-01005-5

23.

Swarnendu Ghosh, Nibaran Das, Mita Nasipuri, Reshaping inputs for convolutional neural network: Some common and uncommon methods, Pattern Recognition, Volume 93, 2019, Pages 79-94, ISSN 0031-3203, https://doi.org/10.1016/j.patcog.2019.04.009

22.

B. Mandal, S. Ghosh, R. Sarkhel, N. Das and M. Nasipuri, "Using dynamic routing to extract intermediate features for developing scalable capsule networks," 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), 2019, pp. 1-6, doi: 10.1109/ICACCP.2019.8883020.

21.

A Survey of Changing Trends in Legal Industry from Manual Search to Legal Analytics using Artificial Intelligence #TANAYA DAS MISSING

2018

20.

Ghosh, S., Das, N., Kundu, M., Nasipuri, M. (2016). Handwritten Oriya Digit Recognition Using Maximum Common Subgraph Based Similarity Measures. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2757-1_18

19.

B. Mandal, S. Dubey, S. Ghosh, R. Sarkhel and N. Das, "Handwritten Indic Character Recognition using Capsule Networks," 2018 IEEE Applied Signal Processing Conference (ASPCON), 2018, pp. 304-308, doi: 10.1109/ASPCON.2018.8748550

18.

Pal, Anisha & Jaiswal, Shourya & Ghosh, Swarnendu & Das, Nibaran & Nasipuri, Mita. (2018). SegFast : A Faster SqueezeNet based Semantic Image Segmentation Technique using Depth-wise Separable Convolutions. Proceedings of the 11th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP 2018). 10.1145/3293353.3293406.

17.

Swarnendu Ghosh, Nibaran Das, Teresa Gonçalves, Paulo Quaresma, Mahantapas Kundu, The journey of graph kernels through two decades, Computer Science Review, Volume 27, 2018, Pages 88-111, ISSN 1574-0137, https://doi.org/10.1016/j.cosrev.2017.11.002

16.

Debnath, N., Das, N., Sarkar, S., Nasipuri, M. (2018). An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis. In: Mandal, J., Sinha, D. (eds) Social Transformation – Digital Way. CSI 2018. Communications in Computer and Information Science, vol 836. Springer, Singapore. https://doi.org/10.1007/978-981-13-1343-1_28

15.

P. Indu, S. Bhattachryya, (2018). A Secure Cloud Environment. International Journal of Computer Sciences and Engineering, 6(3), 303-315.

14.

Pabak Indu, Souvik Bhattachryya, (2018). "Robust Variable Embedding Retinal Biometric", International Journal for Research in Applied Science & Engineering Technology (IJRASET) Volume 6 Issue III,ISSN: 2321-9653

2017

13.

S. S. Bandyopadhyay, A. K. Halder, P. Chatterjee, M. Nasipuri and S. Basu, "HdK-means: Hadoop based parallel K-means clustering for big data," 2017 IEEE Calcutta Conference (CALCON), 2017, pp. 452-456, doi: 10.1109/CALCON.2017.8280774.

2016

12.

S. Choudhuri, N. Das, S. Ghosh and M. Nasipuri, "A multi-cue information based approach to contour detection by utilizing superpixel segmentation," 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016, pp. 1057-1063, doi: 10.1109/ICACCI.2016.7732184.

11.

Ghosh, Swarnendu & Das, Nibaran & Goncalves, Teresa & Quaresma, Paulo. (2016). Representing image captions as concept graphs using semantic information. 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 162-167. 10.1109/ICACCI.2016.7732041.

2015

10.

Indradip Banerjee, Pabak Indu, Anupam Pratap Singh, Souvik Bhattacharyya, and Gautam Sanyal, (2015). Robust watermarking using four bit per pixel technique International Journal of Electronic Security and Digital Forensics 2015 7:4, 345-357

2014

Roy, A., & Karforma, S. (2014). Data Modelling of a Multifaceted Electronic Card-Based Secure E-Governance System. In Z. Mahmood (Ed.), Emerging Mobile and Web 2.0 Technologies for Connected E-Government (pp. 280-299). IGI Global. https://doi.org/10.4018/978-1-4666-6082-3.ch012

Das, Nibaran & Ghosh, Swarnendu & Goncalves, Teresa & Quaresma, Paulo. (2014). Comparison of Different Graph Distance Metrics for Semantic Text Based Classification. Polibits. 49. 51-58. 10.17562/PB-49-6.

Das, N., Ghosh, S., Gonçalves, T., Quaresma, P. (2014). Using Graphs and Semantic Information to Improve Text Classifiers. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_33

Ghosh, Swarnendu & Das, Nibaran & Goncalves, Teresa & Quaresma, Paulo. (2014). JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using Discourse Information. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 375-379. 10.3115/v1/S14-2064

4 BitPMMbased Image Steganography with Randomize Hadamard Transform @Pabak Indu Missing

Indu, Pabak & Bhattacharyya, Dr.Souvik & Sanyal, Prof(Dr.) Goutam. (2014). Different Aspects in Cloud Computing: A Comprehensive Review.

2013

Bhattacharyya, Dr.Souvik & Indu, Pabak & Sanyal, Prof(Dr.) Goutam. (2013). Hiding Data in Text using ASCII Mapping Technology (AMT). International Journal of Computer Applications. Volume 70. 10.5120/12169-8282.

2013

Indu, P., Dutta, S., Biswas, A., & Sanya, G. (2011). Text Steganography using CALP with High Embedding Capacity. Journal of Global Research in Computer Sciences, 2, 29-36.

Bhattacharyya, Dr. Souvik & Indu, Pabak & Dutta, Sanjana & Biswas, Ayan & Sanyal, Prof(Dr.) Goutam. (2011). Hiding Data in Text Through Changing in Alphabet Letter Patterns (CALP).

Publications

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING