Recent Publications

• Vanshali Sharma, M.K.Bhuyan, Pradip K. Das, Kangkana Bora, A DWT-based Encoder-Decoder Network for Specularity Segmentation in Colonoscopy Images, Multimedia Tools and Application, Springer [IF:2.577] , [2023], https://doi.org/10.1007/s11042-023-14564-1


• Barun Barua, Genevieve Chymang, Kangkana Bora, R. Suresh, Lightweight edge deployable deep segmentation model of bullet striations for firearm identification , Forensic Hackathon 2023, National Forensic Science University, Gujrat , [2023]


• Barun Barua , Kangkana Bora , Anup Kr.Das , Gazi N Ahmed , Tashnin Rahman, Stain Color Translation of Multi-Domain OSCC Histopathology Images using Attention gated cGAN , Computerized Medical Imaging and Graphics, Elsevier, vol - 106 [IF 7.422] , [2023], https://doi.org/10.1016/j.compmedimag.2023.102202


• Ponjit Borgohain and Hiten Choudhury, A lightweight D2D authentication protocol for relay coverage scenario in 5G mobile network, Computer Networks, Elsevier , (Scopus, SCIE, IF: 5.493), [2023], https://doi.org/10.1016/j.comnet.2023.109679


• Pallabi Sharma, Bunil Kumar Balabantaray, Kangkana Bora, Kunio Kasugai, Saurav Mallik, Zhongming Zhao, An ensemble-based deep convolution neural network for computer-aided polyps identification from colonoscopy, Frontiers in Genetics [IF: 4.772] , [2022], https://doi.org/10.3389/fgene.2022.844391


• Kabyanil Talukdar, Kangkana Bora (Corresponding author), Lipi B. Mahanta, Anup K. Das, A comparative assessment of deep object detection models for blood smear analysis, Tissue and Cell, Elsevier [IF:2.466] , vol.76,, [2022], https://doi.org/10.1016/j.tice.2022.101761


• Subrat K. Dutta, Sudarshan Saikia, Abhilasa Barman, Ritumoni Roy, Kangkana Bora (corresponding author), Lipi B. Mahanta, R Suresh, Study on Enhanced Deep Learning Approaches for Value-Added Identification and Segmentation of Striation Marks in Bullets for Precise Firearm Classification, Applied Soft Computing, Elsevier [IF 8.263] , vol.112, [2022], https://doi.org/10.1016/j.asoc.2021.107789.


• Kulendu Kashyap Chakraborty, Rashmi Mukherjee, Chandan Chakroborty, Kangkana Bora (Corresponding author), Automated recognition of optical image based potato leaf blight diseases using deep learning, Physiological and Molecular Plant Pathology, Elsevier [IF: 2.747] , vol.117, [2022], https://doi.org/10.1016/j.pmpp.2021.101781


• Kangkana Bora , Lipi B. Mahanta, Kasmika Borah, Genevieve Chyrmang , Barun Barua, Saurav Mallik, Himanish Shekhar Das and Zhongming Zhao, Machine Learning Based Approach for Automated Cervical Dysplasia Detection Using Multi-Resolution Transform Domain Features, Mathematics, MDPI, SCIE indexed [IF:2.592] , [2022], 10.3390/math10214126


• Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora and Zhongming Zhao, Early detection of Parkinson disease using fusion of discrete wavelet transformation and histograms of oriented gradients, Mathematics, MDPI, SCIE indexed [IF: 2.5] , [2022], https://doi.org/10.3390/math10224218


• Kasmika Borah, Kangkana Bora (Corresponding author), Saurav Mallik and Zhongming Zhaob, Potential Therapeutic Agents on Alzheimer’s Disease through Molecular Docking and Molecular Dynamics Simulation study of Plant-based Compounds, Chemistry and Biodiversity, Wiley [IF:2.745] (Accepted) , [2022], https://doi.org/10.1002/cbdv.202200684


• Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora and Zhongming Zhao, Breast Cancer Detection: Shallow Convolutional Neural Network against Deep Convolutional Neural Networks based approach, Frontiers in Genetics [IF:4.772] , [2022]


• Kangkana Bora, M.K. Bhuyan, Yuji Iwahori, Genevieve Chyrmang, Debajit Sarma, ML based PCB Classification with Gabor and Statistical Features , International Conference on Data Electronics and Computing (ICDEC), NEHU, Shillong , [2022]


• Kangkana Bora, Lipi B.Mahanta, C. Chakraborty, Prahlad Borah, Kungnor Rangpi, Barun Barua, Bishnu Sharma, R. Mala, Computer aided Identification of Loom Types of ethnic textile, the Gamusa, using Texture feaxtures and Random Forest Classififer, International Conference on Data Electronics and Computing (ICDEC), NEHU, Shillong , [2022]


• Bidisha Goswami and Hiten Choudhury, A Blockchain-Based Authentication Scheme for 5G-Enabled IoT., Journal of Network and Systems Management, Springer , vol.30, (Scopus, SCIE, IF: 2.198), [2022], https://doi.org/10.1007/s10922-022-09680-6


• Himun Jyoti Nath and Hiten Choudhury, A privacy-preserving mutual authentication scheme for group communication in VANET, Computer Communications , vol.192, (Scopus, SCIE, IF: 5.047), [2022], https://doi.org/10.1016/j.comcom.2022.06.024


• Hemangi Goswami and Hiten Choudhury, Remote Registration and Group Authentication of IoT Devices in 5G Cellular Network, Computers & Security, Elsevier , vol.120, (Scopus, SCIE, IF: 5.105), [2022], https://doi.org/10.1016/j.cose.2022.102806


• Hiten Choudhury, Enhancing the Elliptic Curve Integrated Encryption Scheme in 5G mobile network for home network identity privacy, Security and Privacy, Wiley , vol.5, (ESCI), [2022], https://doi.org/10.1002/spy2.222


• Henamgi Goswami and Hiten Choudhury, Remote Registration and Group based Authentication of IoT over 5G, Proceedings of the 23rd International Conference on Distributed Computing and Networking (ICDCN `22) , 240 - 241, [2022], https://doi.org/10.1145/3491003.3491300


• INDERSCIENCE, C. J. Kumar , P.R. Das and A. Hazarika, “Autism Spectrum Disorder Diagnosis and Machine Learning: A Review “,, Journal of Medical Engineering and Informatics, Inderscience publishers, Jan 2021(accepted) , [2021]


• Elsevier, Himanish Shekhar Das, and Pinki Roy, “A CNN-BiLSTM based hybrid model for Indian Language Identification”, Applied Acoustics. (Elsevier, SCIE, IF 2.639) , [2021]


• Taylor & Francis, Hiten Choudhury, Bidisha Goswami, and Sameer Kumar Gurung, "CovidChain: an anonymity preserving blockchain based framework for protection against Covid-19", Information Security Journal: A Global Perspective, , [2021]


• IEEE, Hiten Choudhury, "Enhanced Anonymity: Customized for Roaming and Non-Roaming IoT-Devices in 5G Mobile Network",, in the proceedings of 3rd IEEE ISEA International Conference on Security and Privacy 2020, IIT Guwahati. , [2020]


• SPRINGER, Chauhan, P., Deka, S.K., and Sarma, N., "An Efficient Decision Fusion Scheme for Cooperative Spectrum Sensing in Cognitive Radio Networks,", Proc. of International Conference on Computer Communication and Internet of Things (ICCCIoT-2020) , 03-04 February, 2020, Tripura University [Accepted]. , [2020]


• Springer, Himanish Shekhar Das, Pinki Roy, “Bottleneck Feature-Based Hybrid Deep Autoencoder Approach for Indian Language Identification”,, Arabian Journal for Science and Engineering, 45(4), 3425-3436, 2020 (Springer, SCI) , [2020]


• IEEE, Pallabi Sharma, Kangkana Bora, Bunil Kumar Balabantaray, ‘Identification of sig- nificant frames from colonoscopy video: an approach towards early detection of Colo- rectal cancer, IEEE International, IEEE, Shillong, July 02-04, 2020. (accepted) , [2020]


• SPRINGER, Barun Barua, Genevieve Chyrmang, Kangkana Bora, R Suresh, and Lipi B. Ma- hanta, ‘2D IMAGE STITCHING TO GENERATE A FILM OF FIRED BULLETS’, I3CS 2020 : 3rd International Conference on, Computing and Communication Systems, Lecture Notes in Networks and Systems (LNNS), Springer, Shillong, 2020 (accepted) , [2020]


• IEEE, Tilendra Chowdhury, L.N. Sharma, M.K. Bhuyan, Kangkana Bora, ‘Identification of Human Breathing-States Using Cardiac-Vibrational Signal for m-Health Applications, IEEE Sensors journal,IEEE, Accepted (2020) , [2020]


• SCI, Pallabi Sharma, Kangkana Bora, Kunio Kosugai, and Bunil Kumar Balabantaray, "Two Stage Classification with CNN for Colorectal Cancer Detection",, Oncologie (SCI), 2020 (Accepted). , [2020]


• Elsevier, Hiten Choudhury, "HashXor: A lightweight scheme for identity privacy of IoT devices in 5G mobile network",, Computer Networks, 186, (2020), 107753 (https://authors.elsevier.com/a/1cI644xsUrzWht) , [2020]


• Springer, Himanish Shekhar Das, and Pinki Roy, “Impact of visual representation of audio signals for Indian language identification”, in proceedings of 25th International Symposium on Frontiers of Research in Speech and Music (FRSM), 8-9 October 2020, NIT Silchar, Assam , [2020]


• Springer, Akalpita Das, Himanish Shekhar Das, Utpal Barman, Arijeet Choudhury, Sourav Mazumdar and Anupal Neog, “Detection of Breast Cancer from Mammogram images using Deep Transfer Learning”, in proceedings of 6th International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS), 14-17 October 2020, VIT, Chennai. , [2020]


• Springer, A. Das, Himanish Shekhar Das, A. Neog, B. B. Reddy & M. Swargiary, “Performance analysis of different machine learning classifiers in detection of Parkinson’s disease from hand-drawn images using HOG", in proceedings of 1st Global Conference on Artificial Intelligence and Applications (GCAIA), 8-10 September 2020, UEM, Jaipur. , [2020]


• Springer, Akalpita Das, Himanish Shekhar Das, Arijeet Choudhury, Anupal Neog and Sourav Mazumdar, “Detection of Parkinson’s disease from hand-drawn images using Deep Transfer Learning”, in proceedings of Congress on Intelligent Systems (CIS), 05-06 September 2020, Soft Computing Research Society (SCRS). , [2020]


• Springer, Akalpita Das, Himanish Shekhar Das, Anupal Neog, B. Bharat Reddy, Arijeet Choudhury, and Mrinoy Swargiary, “Detection of Parkinson’s disease from hand-drawn images using Machine Learning algorithms”, in proceedings of 3rd International Conference on Soft Computing and Signal Processing (ICSCSP), 21-22 August 2020, MRCET, Hyderabad , [2020]


• Springer, Th. S. Kumar, Himanish Shekhar Das, U. Choudhary, P. E Dutta, D. Guha, and Y. Laskar, “Analysis and Prediction of Air Pollution in Assam using ARIMA/SARIMA and Machine Learning", in proceedings of National Conference on Innovations in Sustainable Energy and Technology (ISET), 3-4 December 2020, Energy Institute, Bengaluru. , [2020]


• Springer, Akalpita Das, Himanish Shekhar Das, and Himadri Shekhar Das, “Impact of Cuckoo algorithm in Speech Processing”, In: Dey N. (eds) Applications of Cuckoo Search Algorithm and its Variants, pp. 207-228, Springer Tracts in Nature-Inspired Computing (STNIC) , [2020]


• Wiley, T. Y. Rahman, L. B. Mahanta, H. Choudhury, A. K. Das, and J. D. Sarma. "Study of morphological and textural features for classification of oral squamous cell carcinoma by machine learning techniques", Cancer Reports , [2020]

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