• Barnana Baruah and Subhasish Dhal, A Secure Road Condition Monitoring Scheme in Cloud based VANET, Journal of Computer Communications (Elsevier), 174, pp. 131-142, Apr’21 (Indexed by SCI (E), Scopus, Inspec, Google Scholar, etc.)
• Barnana Baruah and Subhasish Dhal, An IoT based Secure Object Tracking System, Journal of Wireless Personal Communications (Springer), 106(3), pp 1209-1242, Feb’19 (Indexed by SCI (E), Scopus, DBLP, Inspec, Google Scholar, etc.)
• Barnana Baruah and Subhasish Dhal, A two-factor authentication scheme against FDM attack in IFTTT based Smart Home System, Journal of Computers & Security (Elsevier), 77, pp. 21-35, Aug’18 (Indexed by SCI (E), Scopus, EI, CSI)
• Saroj Kr. Biswas, Barnana Baruah, Nidul Sinha and Biswajit Purkayastha, A Hybrid CBR Classification Model by Integrating ANN into CBR, Journal of Services Technology and Management (Inderscience), 21(4/5/6), pp. 272-293, Dec’15 (Indexed by (E)SCI, Scopus, etc.)
• Saroj Kr. Biswas, Barnana Baruah, Biswajit Purkayastha and Manomita Chakraborty, An ANN Based Classification Algorithm for Swine Flu Diagnosis, Journal of Knowledge Based Computer Systems, 3(1), pp. 31-42, Jun’15
• Saroj K. Biswas, Nidul Sinha, Barnana Baruah and Biswajit Purkayastha, Intelligent Decision Support System of Swine Flu Prediction using Novel Case Classification Algorithm, Journal of Knowledge Engineering and Data Mining (Inderscience), 3(1), pp. 1-19, Dec’14 (Indexed by ACM Digital Library, DBLP, Google Scholar, etc.)
• Barnana Baruah, Subhasish Dhal, An Authentication Key Agreement Scheme for Secure Communication in Smart Grid, in Proceedings of the 13^th International Conference on Communucation Systems & Networks (COMSNETS 2021), IEEE Xplore, pp. 1-9, Jan’21 (Indexed by Scopus, DBLP, Google Scholar)
• Barnana Baruah, Subhasish Dhal, An Efficient Authentication Scheme for Secure Communication between Industrial IoT Devices, in Proceedings of the 11^th IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT 2020), IEEE Xplore, pp. 1-7, Jul’20 (Indexed by Scopus, DBLP, Google Scholar)
• Barnana Baruah, Subhasish Dhal, A Secure and Privacy-Preserved Road Condition Monitoring System, in Proceedings of the 12^th International Conference on Communication Systems & Networks (COMSNETS 2020), IEEE Xplore, pp. 594-597, Jan’20 (Indexed by Scopus, DBLP, Google Scholar)
• Barnana Baruah and Subhasish Dhal, An Intelligent Privacy Preserving Vehicle Navigation System, in Proceedings of the IEEE Region 10 Symposium (IEEE TENSYMP 2019), IEEE Xplore, pp. 521-526, Jun’19 (Indexed by Scopus, DBLP, Google Scholar)

1. Selected Papers Publication Details in Referred Journal
   (3 SCI/SCIE (under review) 3 SCI/SCIE publications, 13 SCOPUS Publications, 1 ESCI Publication, and 14 UGC Care / Listed Journal Papers.)
   • Utpal Barman, George Bhokta, Sahrul Alom Choudhari, Abhinab Saikia , “TeaChloro: A digital Chlorometer for the tea leaves using 1D-CNN, ANN, SVR, and LR using contact imaging Techniques in Agri-informatics”. (Under Review SCIE)
   • Utpal Barman, Ridip Dev Choudhury, “Comparative assessment of Text Summarization using Statistical and machine learning models” (Under Review, SCIE)
   • Utpal Barman, Ridip Dev Choudhury, and Shikhar Kumar Sarma “SoilNet: A Lightweight Smartphone Image-based Soil Texture Analysis using Convolutional Neural Networks for Agri-informatics applications”, (Under Review, SCIE)
   • Barman, U., Choudhury, R. D. ., Talukdar, B. K. ., Bhokta, G. ., Choudhari, S. A. ., & Saikia, A. . (2021).Smartphone assist deep neural network model to recognize the high-quality tea using leaf maturity and its effect on leaf chlorophyll. Journal of Applied and Natural Science (SCOPUS), 13(4), 1249–1255. https://doi.org/10.31018/jans.v13i4.2950
   • Barman, U. (2021). " Deep Convolutional neural network (CNN) in tea leaf chlorophyll estimation: A new direction of modern tea farming in Assam, India. Journal of Applied and Natural Science (SCOPUS) , 13(3), 1059 - 1064. https://doi.org/10.31018/jans.v13i3.2892
   • Utpal Barman, Ridip Dev Choudhury, DigantoSahu, and Golap Gunjan Barman, “Comparison of Convolution Neural Networks for Smartphone Image based Real Time Classification of Citrus Leaf Disease”, Computers and Electronics in (Elsevier, SCIE) (IF= 5.65)
   • Utpal Barman, Ridip Dev Choudhury, “ Smartphone image based digital chlorophyll meter to estimate the value of citrus leaves chlorophyll using Linear Regression, LMBP-ANN and SCGBPANN ”, Journal of King Saud University - Computer and Information Sciences, 2020, ISSN 1319- 1578, (Elsevier-SCIE) (IF = 13.47)
   • Utpal Barman, Ridip Dev Choudhury, “Soil texture classification using multi class support vector machine”, Information Processing in Agriculture, Volume 7, Issue 2, 2020, Pages 318-332, ISSN 2214-3173 (Elsevier SCOPUS Indexed).
   • Utpal Barman, Ridip Dev Choudhury, “Prediction of Soil pH using Smartphone based Digital Image Processing and Prediction Algorithm”, J.Mech.Cont.& Math. Sci., Vol.-14, No.2, MarchApril (2019) pp 226-249, ISSN (Online) : 2454 -7190 ISSN (Print) 0973-8975. (ESCI, WoS Indexed)
   • Utpal Barman, Ridip Dev Choudhury, “Bacterial and Virus affected Citrus Leaf Disease Classification using Smartphone and SVM ”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-2, July 2019. (SCOPUS Indexed).
   • Utpal Barman, Uzzal Sharma, AnimeshSarmah, PranoyBhowmick, “Double Stage chain routing Protocal in WSN”, AJET, ISSN:2348-7305, Volume 8, Issue 1, June, 2019, (UGC Care Indexed)
   • Utpal Barmanet al.2018, “Estimation of Chlorophyll Using Image Processing”. Int J Recent Sci Res. 9(3), pp. 24850-24853 (UGC Approved before UGC care)
   • Barman, U., Choudhury, R., Talukdar, N., Deka, P., Kalita, I., & Rahman, N. (2018). “ Prediction of soil pH using HSI colour image processing and regression over Guwahati, Assam, India ”. Journal of Applied and Natural Science, 10(2), 805-809. (SCOPUS Indexed, UGC care, NAAS Indexed)
2. Selected Papers Accepted / Presented in Conference
   • Utpal Barmanand Adrash Pradhan, "A Survey on Content Based Image Retrieval System” in GESM 14 (international Conference) at Guwahati university, ISBN N0-978-81-921779-0-8).
   • UTPAL BARMAN, DWIPEN LASKAR, NIPJYOTI SARMA, K.V. KANIMOZHI, “A Comparative Incentive Framework for Hierarchical Peer to Peer systems”, in GESM 14 (international Conference) at Guwahati university, ISBN N0-978-81-921779-0-8)
   • V. KANIMOZHI, NIPJYOTI SARMA, DWIPEN LASKAR, UTPAL BARMAN, “A Comparative Incentive Analysis on Delay Tolerant Routing Protocols” in GESM 14 (international Conference) at Guwahati university, ISBN N0-978-81-921779-0-8)
   • Barman, R. D. Choudhury and I. Uddin, "Prediction of Soil pH using K mean Segmentation and HSV Color Image Processing," 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, India, 2019, pp. 31-36. (IEEE Conference, Scopus / WoS Indexed).
   • Utpal Barman, Ridip Dev Choudhury, “Performance analysis of SVM classifier for plant disease classification” Conference: IEEE Scopus indexed Conference (https://icaeese2019.org), 2nd November 2019 Scopus Indexed IEEE Conference ID: 46788 (IEEE, Scopus Indexed)
   • Utpal Barman, DigatoSahu, Golap Gunjan Barman, " A Deep Learning Based Android Application to Detect the Leaf Diseases of Maize", 6th International Conference on Mathematics and Computing, (Springer, Scopus Indexed), at Sikkim University Gangtok, 18-21 March, 2020.
   • Utpal Barman, DigantoSahu, Golap Gunjan Barman, Ridip Dev Choudhury " Comparative Assessment of AR, MA and ARMA for the Time Series Forecasting of Assam and Meghalaya Rainfall Division”, 2020 International Conference on Computational Performance Evaluation (ComPE) North-Eastern Hill University, Shillong, Meghalaya, India. Jul 2-4, 2020 (IEEE Conference, Scopus Indexed).
   • Utpal Barman, DigantoSahu, Golap Gunjan Barman, Jayashree Das " Comparative Assessment of Deep Learning to Detect the Leaf Diseases of Potato based on Data Augmentation”, 2020 International Conference on Computational Performance Evaluation (ComPE) North-Eastern Hill University, Shillong, Meghalaya, India. Jul 2-4, (IEEE Conference, Scopus Indexed).
   • Utpal Barman, AnimeshSarmah, DigantoSahu and Golap Gunjan Barman, “Estimation of Tea Leaf Chlorophyll using MLR, ANN, SVR and KNN in natural light condition”, International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India. 10-11 August, 2020. (Springer Conference, Scopus Indexed).
   • Utpal Barman, DigantoSahu and Golap Gunjan Barman, “Comparison of LR, SVR and DNN for the Rainfall Forecast of Guwahati, Assam”, International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India. 10-11 August, 2020. (Springer Conference, Scopus Indexed)
   • Utpal Barman, “Leaf Disease Detection using Convolutional Neural Network”, 3rd National conference on Recent Advances in Science and Technology, ASTU, Guwahati, Assam, India. Aug 17 to 19, 2020.
   • Utpal Barman, “Role of AI in Education Technology”, 3rd National conference on Recent Advances in Science and Technology, ASTU, Guwahati, Assam, India. Aug 17 to 19, 2020.
   • Utpal Barman, “Time Series Analysis of Assam Rainfall using SARIMA and ARIMA”, 4th International Conference on Smart Computing and Informatics (SCI-2020), Vasavi College of Engineering (Autonomous), Hyderabad, Telangana, India, during 09-10 October 2020 (Springer, SCOPUS Indexed)
   • Utpal Barman, Vishal Barman, Mustafizur Rahman, Nawaz Khan Choudhury, "Graph Based Extractive News article Summarization Approach leveraging static word embedding" 2021 International Conference on Computational Performance Evaluation (ComPE) North-Eastern Hill University, Shillong, Meghalaya, India. December 1-3, (IEEE Conference, Scopus Indexed)
3. Research Papers as Book Chapters
   • Barman U., Sahu D., Barman G.G. (2021) A Deep Learning Based Android Application to Detect the Leaf Diseases of Maize. In: Giri D., Buyya R., Ponnusamy S., De D., Adamatzky A., Abawajy J.H. (eds) Proceedings of the Sixth International Conference on Mathematics and Computing. Advances in Intelligent Systems and Computing, vol 1262. Springer, Singapore. https://doi.org/10.1007/978-981-15-8061-1_22
   • Das A., Das H.S., Barman U., Choudhury A., Mazumdar S., Neog A. (2021) Detection of Breast Cancer from Mammogram Images Using Deep Transfer Learning. In: Thampi S.M., Krishnan S., Hegde R.M., Ciuonzo D., Hanne T., Kannan R. J. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2020. Communications in Computer and Information Science, vol 1365. Springer, Singapore. https://doi.org/10.1007/978-981-16-0425-6_2
   • Barman U., Sarmah A., Sahu D., Barman G.G. (2021) Estimation of Tea Leaf Chlorophyll Using MLR, ANN, SVR, and KNN in Natural Light Condition. In: Maji A.K., Saha G., Das S., Basu S., Tavares J.M.R.S. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 170. Springer, Singapore. https://doi.org/10.1007/978-981-33-4084-8_27
   • Barman U., Sahu D., Barman G.G. (2021) Comparison of LR, SVR, and DNN for the Rainfall Forecast of Guwahati, Assam. In: Maji A.K., Saha G., Das S., Basu S., Tavares J.M.R.S. (eds) Proceedings of the International Conference on Computing and Communication Systems. Lecture Notes in Networks and Systems, vol 170. Springer, Singapore. https://doi.org/10.1007/978-981-33-4084-8_28
   • Barman U., Hussain A.E., Dahal M.J., Barman P., Hazarika M. (2021) Time Series Analysis of Assam Rainfall Using SARIMA and ARIMA. In: Satapathy S.C., Bhateja V., Favorskaya M.N., Adilakshmi T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-16-0878-0_35
4. Book Chapters in Reference Book and Self Learning Material (SLM)
   • One Book Chapter, entitled “Simplification of Boolean Algebra”, under the SLM of IDOL, GU in Year 2018 (August).
   • One Book chapter entitled “Planning the Computer Program” and Unit 4: Techniques of Problem solving using Computersfor Book (Paper) entitled “Problem Solving using Computers” under KKHSOU in the year 2021 (April).
   • One Book chapter entitled “Techniques of Problem solving” for Book (Paper) entitled “Problem Solving using Computers” under KKHSOU in the year 2021 (April).
   • One Book chapter entitled “Priority Queue ADT I” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
   • One Book chapter entitled “Priority Queue ADT II” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
   • One Book chapter entitled “Partition ADT II” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
   • One Book chapter entitled “Tress and B+ Tree” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
   • One Book chapter entitled “Distributed Database” for Book (Paper) entitled “Advanced DBMS” under IDOL, GU in the year 2021 (July).
   • One Book chapter entitled “Image and Multimedia Database” for Book (Paper) entitled “Advanced DBMS” under IDOL, GU in the year 2021 (July).
   • One Book chapter entitled “Spatial Database” for Book (Paper) entitled “Advanced DBMS” under IDOL, GU in the year 2021 (July).
   • One Book chapter entitled “Software Maintenance Model”for Book (Paper) entitled “Software Engineering” under IDOL, GU in the year 2021 (August).
   • One Book chapter entitled “Trees” for Book (Paper) entitled “Mathematical Foundation of Computer Science” under IDOL, GU in the year 2021 (August).
   • One Book chapter entitled “Secondary Storage Management” for Book (Paper) entitled “Operating System” under IDOL, GU in the year 2021 (August).
   • One Book chapter entitled “System Concept” for Book (Paper) entitled “System Analysis and Design” under KKHSOU in the year 2021 (July).
   • One Book chapter entitled “Database Design” for a Book (Paper) entitled “System Analysis and Design” under KKHSOU in the year 2021 (July).
   • One Book chapter entitled “Project Scheduling” for Book (Paper) entitled “System Analysis and Design” under KKHSOU in the year 2021 (July).
   • One Book chapter entitled “Multiprocessor Systems” and for Book (Paper) entitled “Operating System” under KKHSOU in the year 2021 (July).
   • One Book chapter entitled “Distributed Operating Systems”) for Book (Paper) entitled “Operating System” under KKHSOU in the year 2021 (July).
   • One Book chapter entitled “Introduction to Multiprogramming System” and for Book (Paper) entitled “Operating System” under KKHSOU in the year 2021 (July).

Papers Published in Journals:

• Nazreena Rahman and Bhogeswar Borah, “An Unsupervised Method for Word Sense Disambiguation”, Journal of King Saud University –Computer and Information Sciences, Elsevier, 2021 (SCIE, Scopus and UGC listed journal, 13.473 IF).
• Nazreena Rahman and Bhogeswar Borah, “Improvement of Query-Based Text Summarization using Word Sense Disambiguation”, Complex & Intelligent Systems,  DOI: doi.org/10.1007/s40747-019-0115-2, Springer,  2019 (SCIE and UGC listed journal, 4.927 IF).
• Nazreena Rahman and Bhogeswar Borah, “An Approach For Finding Semantic Relatedness Score Between Two Sentences Based On Their Senses”, Journal of Computer Science, Scinence Publications, 2021 (Scopus, and UGC listed journal).
• Nazreena Rahman and Parismita Sarma, “Analysis of Treatment of Prostate Cancer by Using Multiple Techniques of Data Mining”, International Journal of Advanced Research in Computer Sciences and Software Engineering, ISSN No.2277 128X, Volume 3, Issue 4, pp.584- 589, April 2013. 

Papers Published in Books Chapters:

• Nazreena Rahman and Bhogeswar Borah, “A Method for Semantic Relatedness Based Query Focused Text Summarization”, Pattern Recognition and Machine Intelligence, PReMI’ 17, DOI: 10.1007/978-3-319-69900-4, LNCS 10597, Springer, pp. 387-393, December,  2017.
• Nazreena Rahman and Bhogeswar Borah, “Context Sensitive Query Correction Method for Query-Based Text Summarization”, Computational Science and Its Applications – ICCSA 2017, DOI: 10.1007/978-3-319-62407-5 2, Part VI, LNCS 10409, Springer, pp. 1–14, July 2017.
• Nazreena Rahman and Bhogeswar Borah, “A Spell Correction Method for Query-Based Text Summarization”, Proceedings of the International Conference on Computing and Communication Systems,  I3CS 2016, DOI: 10.1007/978-981-10-6890-4 , LNNS, Springer,  Chapter 33, pp.1-9 , November,  2016.
• Nazreena Rahman and Parismita Sarma, “Use of Modified C4.5 Algorithm to Detect the Stages of Prostate Cancer”, Advanced Computer Science & Applications, ISBN: 9789383252084, pp.216-226, EBH Publishers, 2014.

 National /International Seminar/Poster:

• Nazreena Rahman and Bhogeswar Borah, “A Method to Disambiguate a Word by Using Restricted Boltzmann Machine”, ICON 2021: 18th International Conference on Natural Language Processing, ACL, December, 2021 (Indexed by Scopus, ACL Anthology, DBLP, Google Scholar).
• Nazreena Rahman and Bhogeswar Borah, “Redundancy Removal Method for Multi-Document Query-Based Extractive Text Summarization”, European Conference on Natural Language Processing and Information Retrieval (ECNLPIR 2020), ACM, September, 2020 (Indexed by ACM Digital Library, Scopus, DBLP, Google Scholar).
• Nazreena Rahman, Salma Sultana and Abhinav Kashyap, “A Sense Based Semantic Similarity Measure Using A Shallow Neural Network”,  Second International Conference on Advances in Electrical, Electronic and System Engineering, IEEE,  ICAEESE, November, 2019(Indexed by Scopus, DBLP, Google Scholar) .
• Nazreena Rahman and Parismita Sarma, “A Method to Analysis Prostate Cancer Stages and Treatments”,1st International Conference on Accessibility to Digital World, IEEE, ICADW, December, 2016 (Indexed by Scopus, DBLP, Google Scholar).
• Nazreena Rahman and Bhogeswar Borah, “A Survey on Different Approaches for Query Expansion Techniques”, REGIONAL CELEBRATION OF WOMEN IN COMPUTING, EAST AND NORTH-EAST, ACM-W, November, 2015.
• Nazreena Rahman and Bhogeswar Borah ,  “A Survey on Existing Extractive Techniques for Query-Based Text Summarization”,  International Symposium on Advanced Computing and Communication,  IEEE,  ISACC,  September,  2015 (Indexed by Scopus, DBLP, Google Scholar).

Najmin Akhtar Barbhuiya, Yash Jain, Amarjyoti Narjary, Pranav Kumar, & Nilakshi Gogoi. (2020). Automatic Billing System using RFID. Journal of Optoelectronics and Communication, 2(2), 1–6.

Research Publications:

• Dibya Jyoti Bora , “An Ideal Approach for Medical Color Image Enhancement”, Advanced Computational and Communication Paradigms. Advances in Intelligent Systems and Computing, vol 706. Springer, Singapore, DOI : https://doi.org/10.1007/978-981-10-8237-5_34
• Dibya Jyoti Bora, “An Efficient Innovative Approach Towards Color Image Enhancement” , International Journal of Information Retrieval Research (IJIRR) 8(1), DOI: 10.4018/IJIRR.2018010102
• Dibya Jyoti Bora, S. Thakur, “An Efficient Technique for Medical Image Enhancement Based on Interval Type-2 Fuzzy Set Logic” , Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore, DOI : https://doi.org/10.1007/978-981-10-7871-2_64
• Dibya Jyoti Bora, “An optimal color image edge detection approach” , IEEE International Conference on Trends in Electronics and Informatics, ICEI 2017, pp. 342-347.( Date Added to IEEE Xplore: 22 February 2018), DOI : https://doi.org/10.1109/ICOEI.2017.8300945
• Dibya Jyoti Bora , “Performance Comparison of K-Means Algorithm and FCM Algorithm with Respect to Color Image Segmentation”, International Journal of Emerging Technology and Advanced Engineering, Volume 7, Issue 8, August 2017. DOI: 10.6084/m9.figshare.5394313.
• Dibya Jyoti Bora, “Importance of Image Enhancement Techniques in Color Image Segmentation: A Comprehensive and Comparative Study”, Indian J.Sci.Res. 15 (1): 115-131, 2017.
• Dibya Jyoti Bora, “A Local Type-2 Fuzzy Set Based Technique for HE Stain Image Enhancement”, International Journal of Advanced Intelligence Paradigms (IJAIP), Inderscience Publishers(Communicated).
• Dibya Jyoti Bora, Anil Kumar Gupta, “AERASCIS: An Efficient and Robust Approach for Satellite Color Image Segmentation”, IEEE International Conference on Electrical Power and Energy Systems (ICEPES), Maulana Azad National Institute of Technology, Bhopal, India. Dec 14-16, 2016. (Included in IEEE Xplore) (Scopus Indexed)
• Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan, “A New Efficient Watershed Based Color Image Segmentation Approach”, IEEE Proceedings of 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE), 2016, pp. 134-144. (Included in IEEE Xplore) (Scopus Indexed)
• Dibya Jyoti Bora, Anil Kumar Gupta, “A Novel Color Image Segmentation Approach Based On K-Means Clustering with Proper Determination of the Number of Clusters and Suitable Distance Metric”, International Journal of Computer Science & Engineering Technology (IJCSET), Vol. 7 No. 09 Sep 2016, pp. 395-409.
• Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan, “Color Image Segmentation Using An Efficient Fuzzy Based Watershed Approach”, Signal & Image Processing: An International Journal (SIPIJ), Vol.6, No.5, October 2015,pp.15-34.
• Dibya Jyoti Bora, Anil Kumar Gupta, Fayaz Ahmad Khan, “Comparing the Performance of L*A*B* and HSV Color Spaces with Respect to Color Image Segmentation”, International Journal of Emerging Technology and Advanced Engineering, Volume 5, Issue 2, February 2015, pp. 192-203.
• Dibya Jyoti Bora, Anil Kumar Gupta, “A New Efficient Color Image Segmentation Approach Based on Combination of Histogram Equalization with Watershed Algorithm”, International Journal of Computer Sciences and Engineering Vol.-4(6), Jun 2016, E-ISSN: 2347-2693, pp.156-167.
• Dibya Jyoti Bora, Anil Kumar Gupta,Fayaz Ahmad Khan, “An Efficient Approach toward Color Image Segmentation with Combined Effort of Soft Clustering and Region Based Techniques using L Channel of LAB Color Space”, International Journal of Computer Applications (0975 – 8887) Volume 128 – No.12, October 2015, pp. 39-45.
• Dibya Jyoti Bora, Anil Kumar Gupta, “A Novel Approach towards Clustering Based Image Segmentation”, International Journal of Emerging Science and Engineering (IJESE,) ISSN: 2319–6378, Volume-2 Issue-11, September 2014, pp. 6-10.
• Dibya Jyoti Bora, Anil Kumar Gupta, “A New Approach towards Clustering based Color Image Segmentation”, International Journal of Computer Applications (0975 – 8887) Volume 107 – No 12, December 2014, pp. 23-30
• Dibya Jyoti Bora, Anil Kumar Gupta, “Clustering Approach towards Image Segmentation: An Analytical Study”, International Journal of Research in Computer Applications and Robotics, Vol.2, Issue7 (July 2014), ISSN 2320-7345, pp. 115-124.
• Dibya Jyoti Bora, Anil Kumar Gupta, “Impact of Exponent Parameter Value for the Partition Matrix on the Performance of Fuzzy C Means Algorithm”, International Journal of Scientific Research in Computer Science Applications and Management Studies, Volume 3, Issue 3 (May 2014), ISSN: 2319 – 1953
• Dibya Jyoti Bora, Anil Kumar Gupta, “A Comparative study Between Fuzzy Clustering Algorithm and Hard clustering Algorithm”, International Journal of Computer Trends and Technology (IJCTT) V10(2):108-113, Apr 2014. ISSN:2231-2803
• Dibya Jyoti Bora, Anil Kumar Gupta, “Effect of Different Distance Measures on the Performance of K-Means algorithm: An Experimental Study in Matlab” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (2) ,2014, 2501-2506,ISSN: 0975-9646
• Dibya Jyoti Bora, Anil Kumar Gupta, “Performance Analysis Of Different Partition Clustering Algorithms”,NCAC 2013
• Anil Kumar Gupta, Dibya Jyoti Bora, Fayaz Ahmad Khan, “Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative Approach” , International Journal of Scientific Research in Computer Science, Engineering and Information Technology, Volume 3 | Issue 1 | January-February 2018, DOI: http://ijsrcseit.com/CSEIT1831231
• Susmita Sahu ,Himadri Sarma Dibya Jyoti Bora, “Image Segmentation and Its Different Techniques: An In-depth Analysis”,IEEE International Conference on Research in Intelligent and Computing in Engineering, 2018.
• Aichwajya Bora, Nawab Wasim Rahman, Dibya Jyoti Bora , “An Analytical Study on Different Image Segmentation Techniques for Malaria Parasite Detection”, IEEE International Conference on Research in Intelligent and Computing in Engineering, 2018.
• Mahmood Hussain, Dibya Jyoti Bora , “Segmentation Techniques for MRI Brain Tumor Images: A Critical Study”, IEEE International Conference on Research in Intelligent and Computing in Engineering, 2018.
• Fayaz Ahmad Khan, Dibya Jyoti Bora and Anil Kumar Gupta, “An Efficient Heuristic Based Test Suite Minimization Approach”, Indian Journal of Science and Technology, Vol 10(29), DOI: 10.17485/ijst/2017/v10i29/106374, August 2017.
• Fayaz Ahmad Khan, Dibya Jyoti Bora and Anil Kumar Gupta , “Test Data Generation in Software Testing: A Logical Review” , 2018/3,International Journal of Latest Engineering and Management Research (IJLEMR), Volume 3 Issue Issue 03 Pages 73-78.
• Fayaz Ahmad Khan, Anil Kumar Gupta and Dibya Jyoti Bora, “Profiling of Test Cases with Clustering Methodology”, International Journal of Computer Applications 106(14), November 2014,pp.32-37.
• Fayaz Ahmad Khan, Anil Kumar Gupta, Dibya Jyoti Bora, “Test Suite Minimization for statement Coveragetesting using K-Means Clustering Approach”,International Conference on Emerging trends in information technology, pp. 26-31, March-2015.
• Fayaz Ahmad Khan, Anil Kumar Gupta, Dibya Jyoti Bora, “An Efficient Approach to Test Suite minimization for 100% Decision coverage criteria using Kmeans Clustering Approach”, IJAPRR International Peer Reviewed Refereed Journal, Vol. II, Issue VII, 2015,pp. 18-26.
• Fayaz Ahmad Khan, Anil Kumar Gupta, Dibya Jyoti Bora, “An Efficient Technique to Test Suite Minimization using Hierarchical Clustering Approach”, International Journal of Emerging Science and Engineering (IJESE)ISSN: 2319–6378, Volume-3 Issue-11, September 2015,pp. 1-9.

Book Chapter :

• Dibya Jyoti Bora, “Medical Color Image Enhancement: Problems, Challenges & Recent Techniques”, De Gruyter book Intelligent Multimedia Data Analytics , Berlin, Germany (Accepted) .
• Dibya Jyoti Bora, “HE Stain Image Segmentation Using an Innovative Type-2 Fuzzy Set-Based Approach”, Histopathological Image Analysis in Medical Decision Making, DOI : 10.4018/978-1-5225-6316-7.ch012, IGI Global.

Reviewed Articles for The Following International Journals:

• Color Research & Application, Online ISSN: 1520-6378.
• Walailak Journal of Science and Technology (WJST), E-ISSN: 2228-835X.
• International Journal of Information Retrieval Research (IJIRR), ISSN: 2155-6377|EISSN: 2155-6385.
• IET Image Processing. Online ISSN 1751-9667,Print ISSN 1751-9659.
• International Journal of Measurement Technologies and Instrumentation Engineering (IJMTIE), ISSN: 2156-1737, EISSN: 2156-1729.