राष्ट्रीय प्रौद्योगिकी संस्थान, दुर्गापुरगापुर | NATIONAL INSTITUTE OF TECHNOLOGY DURGAPUR
An Institute of National Importance under Government of India, Ministry of Human Resource Development

[NIT Durgapur is celebrating its Diamond Jubilee year]

Computer Vision, Machine Intelligence and Medical Imaging Research Group


Publications

  • T. Chakraborty, S. K. Banik, A. K. Bhadra and D. Nandi, “Dynamically learned PSO based neighborhood influenced fuzzy c-means for pre-treatment and post-treatment organ segmentation from CT images,” Computer Methods and Programs in Biomedicine (Elsevier), Vol. 202, pp. 105971, 2021.
  • F. Chakraborty, P. K. Roy and D. Nandi, “A novel chaotic symbiotic organisms search optimization in multilevel image segmentation”, Soft Computing (Springer), Vol. 25, pp. 6973-6998, 2021.
  • D. Ghosh, A. Kumar, P. Ghosal, A. Mukherjee and D. Nandi, “Filtering super-resolution scan conversion of medical ultrasound frames,” Wireless Personal Communications (Springer), Vol. 116, No. 1, pp. 883-905, 2021.
  • D. Das, S. Mukhopadhyaya and D. Nandi, “Swarm-based painting of an area cluttered with obstacles”, International Journal of Parallel, Emergent and Distributed Systems (Tailor & Francis), Article in press.
  • P. Ghosal, T. Chowdhury, A. Kumar, A. K. Bhadra, J. Chakraborty and D. Nandi, “MhURI: A Supervised Segmentation Approach to Leverage Salient Brain Tissues in Magnetic,” Computer Methods and Programs in Biomedicine (Elsevier), Vol. 200, pp. 105841, 2020.
  • F. Chakraborty, P. K. Roy and D. Nandi, “Symbiotic Organisms Search Optimization for Multilevel Image Thresholding”, International Journal of Swarm Intelligence Research (IJSIR), (IGI Global), Vol. 11, No. 2, pp. 31-61, Year 2020.
  • M.K. Mandal J Karmakar and D. Nandi, “A novel hyper-chaotic image encryption with sparse-representation based compression”, Multimedia Tools and Applications (Springer), Vol. 79, pp. 28277–28300, 2020.
  • A. Kumar, N. Upadhyay, P. Ghosal, T. Chowdhury, D. Das, A. Mukherjee and D. Nandi, “CSNet: A new DeepNet framework for ischemic stroke lesion segmentation”, Computer methods and programs in biomedicine (Elsevier), Vol. 193, pp. 105524, 2020.
  • M. Sarkar, P. Rakshit Sarkar, U. Mondal and D. Nandi, “Empirical wavelet transform-based fog removal via dark channel prior”, IET Image Processing, Vol. 14, No. 6, pp. 1170-1179, 2020.
  • F. Chakraborty, P. K. Roy and D. Nandi, “Elephant herding optimization for multi-level image thresholding”, International Journal of Applied Metaheuristic Computing, IGI Global, Vol. 11, No. 4, 2020
  • F. Chakraborty, P. K. Roy and D. Nandi, “Oppositional elephant herding optimization with dynamic Cauchy mutation for multilevel image thresholding”, Evolutionary Intelligence(Springer),https://doi.org/10.1007/s12065-019-00238-1, Article in press, 2019
  • F. Chakraborty, P. K. Roy and D. Nandi, “Oppositional Symbiotic Organisms Search Optimization for Multilevel Thresholding of Color Image”, Applied Soft Computing, Elsevier, Vol. 82, pp. 105577, 2019.
  • N. Murmu, B. Chakraborty and D. Nandi, “Relative velocity measurement using low cost single camera-based stereo vision system”, Measurement, Elsevier, Volume 141, pp. 1-11, 2019.
  • D. Nandi, J. Karmakar, A. Kumar and M. K. Mandal, “Sparse representation based multi-frame image super-resolution reconstruction using adaptive weighted features”, IET Image Processing, Vol. 13, No. 4, 2019.
  • M. Kar, A. Kumar, D. Nandi and M. K. Mandal, “Image encryption using DNA coding and hyperchaotic system”, IETE Technical Review, Taylor & Francis,Article in press, DOI: 10.1080/02564602.2018.1544855, 2018.
  • S. Maiti , D. Nandi and B. Chakraborty, “Statistical Modelling of Log-Compressed Nakagami Distributed Ultrasound Echo Envelope”, Advances and Applications in Statistics, Vol. 50, No. 5, pp. 349-366, 2017.
  • D. Nandi, S. Mukhopadhyay, D. Ghosh and B. Chakraborty, “A Novel Framework of Speckle Reducing Scan Conversion in Ultrasound Imaging Systems”, IETE Technical Review, Taylor & Francis, Vol. 35, No. 6, pp. 618-630, 2018.
  • S. Dutta, P. Mukhopadhyay, P. K. Roy and D. Nandi, “Unified power flow controller based reactive power dispatch using oppositional krill herd algorithm”, Electrical Power and Energy Systems, Elsevier, Vol. 80, pp-10-25, July, 2016.
  • M. Kar, M. K. Mandal, D. Nandi, A. Kumar and S. Banik, “Bit-plane Encrypted Image Cryptosystem using Chaotic Quadratic and Cubic Maps, Accepted and published online in IETE Technical Review, Taylor & Francis, Vol. 33, No. 6, pp. 651-661, 2016.
  • Dutta, P. K. Roy and D. Nandi, “Krill herd algorithm for Optimal UPFC placement in transmission system”, International Journal of Power and Energy Conversion (IJPEC), Inderscience, Vol. 9, No. 3, pp. 254-284, 2018.
  • S. Dutta, P. K. Roy and D. Nandi, “Optimal location of STATCOM using chemical reaction optimization for reactive power dispatch problem”, Ain Shams Engineering Journal, Elsevier, Vol. 7, No. 1, pp. 233-247, 2016,
  • S. Dutta, P. K. Roy and D. Nandi, “Hybrid Biogeography Based Optimization for Optimal Power Flow Incorporating FACTS Devices,” International Journal of Power and Energy Conversion (IJPEC), Inderscience, Vol. 6, No. 1, 2015.
  • S. Dutta, P. K. Roy and D. Nandi, “Optimal location of UPFC controller in transmission network using hybrid chemical reaction optimization algorithm",Electrical Power and Energy Systems, Elsevier, Vol. 64, pp-194-211, 2014.
  • H. Chel, A. Majumder and D. Nandi, “Faster Training Algorithms in Neural Network Based Approach For Handwritten Text Recognition”, International Journal of Image Processing, Vol. 7: No. 4, pp. 358-371, 2013.
  • M. K. Mandal, G. D. Banik, D. Chattopadhyay and D. Nandi, “An Image Encryption Process based on Chaotic Logistic Map”, IETE Tech. Rev., Vol. 29, pp.395-404, 2012.
  • D Chattopadhyay, M K Mandaland D. Nandii, “Symmetric key chaotic image encryption using circle map” Indian J. of Science & Technology, Vol. 4,No. 5, pp. 1-7, May 2011.
  • Sumana De, and Baisakhi Chakraborty, ‘Development of Air Quality Condition Detection System (AQCDS) with a Novel Energy-Efficient Topology Construction Algorithm in WSN’, Computers & Electrical Engineering, vol. 91, 2021 (SCIE)
  • Sumana De, and Baisakhi Chakraborty, ‘Development of Excessive-Smoke-Emitting-Car Fault Diagnostic System (ESECFDS) based on Case Base Reasoning (CBR) Methodology’, International Journal of Knowledge-Based and Intelligent Engineering Systems, vol. 25, no. 1, pp. 75-95, 2021. (Scopus, ESCI).
  • Prasenjit Mukherjee, Atanu Chattopadhyay, Baisakhi Chakraborty, Debashis Nandi, “Natural language Query Handling using Extended Knowledge Provider System”, KES Journal, vol. 25, no. 1, pp. 1-19, 2021. (SCOPUS, ESCI)
  • Partha Sarathy Banerjee, Baisakhi Chakraborty, Utkarsh Anand, Harsh Upadhyay, “Trainable Framework for Information Extraction, Structuring and Summarization of Unstructured Data Using Modified NER”. Wireless Personal Communications Journal, Springer, 117(2): 769-807 (2021). (SCIE)
  • Manish Kumar, Prasenjit Mukherjee, Manik Hendre, Manish Godse, Baisakhi Chakraborty,"Adapted lesk algorithm based word sense disambiguation using the context information", (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 11, No. 3, pp. 254-260, 2020. (SCOPUS)
  • Dipa Mondal, Prasenjit Mukherjee, Atanu Chattopadhyay, Manish Godse, Baisakhi Chakraborty, "Part of Speech Tagger for Natural Language Queries in Bengali", International Journal of Advanced Science and Technology (IJAST), Vol. 29, No. 6, pp. 8059-8082, 2020. (SCOPUS)
  • Praffullit Tripathi, Prasenjit Mukherjee, Manik Hendre, Manish Godse, Baisakhi Chakraborty, "Word Sense Disambiguation in Hindi Language Using Score Based Modified Lesk Algorithm", International Journal of Computing and Digital Systems (IJCDS), University of Bahrain, Bahrain, 2020. (SCOPUS).
  • Sumana De, Baisakhi Chakraborty, “A Novel CBR-Decision Tree based Intelligent Car Fault Diagnosis System (CFDS)”, International Journal of Recent Technology and Engineering, Vol 8, Issue2, July 2019. (SCOPUS)
  • Partha Sarathy Banerjee, Information Retrieval Based on Question and Answering and NER for Unstructured Information Without Using SQL, Wireless Personal Communications Journal, Springer, 108(3): 1909-1931 2019. (SCIE)
  • Suchismita Maiti, Debashis Nandi, Baisakhi Chakraborty, “Statistical analysis of raw in-vivo breast ultrasound echo”, International Journal of Tomography and Simulation, Vol. 32, 2019.
  • Narayan Murmu, Baisakhi Chakraborty, Debashis Nandi, “Relative velocity measurement using low cost single camera based stereo vision system”, Measurement, Vol. 141, pp. 1-11, 2019. (SCIE)
  • Kailash Pati Mandal, Prasenjit Mukherjee and Baisakhi Chakraborty, "A Novel Bengali Language Query Processing System (BLQPS) in Medical Domain", Intelligent Decision Technologies, IOS Press, vol. Pre-press, pp. 1-16, 2019. (SCOPUS)
  • Debashis Nandi, Sudipta Mukhopadhyay, Dipannita Ghosh and Baisakhi Chakraborty, "A Novel Framework of Speckle Reducing Scan Conversion in Ultrasound Imaging Systems", IETE Technical Review, Vol. 35(6), pp.618-630, 2018. (SCIE)
  • Suchismita Maiti , Debashis Nandi and Baisakhi Chakraborty, “Statistical model of log-compressed Nakagami distributed ultra-sound echo Envelope, Advances and Applications in Statistics”, 2017 Pushpa Publishing House, Allahabad, India, Vol. 50, no. 5, Pages 349-366, 2017 (Peer-reviewed)
  • Prasenjit Mukherjee , Baisakhi Chakraborty, “A Comparative Analysis of Permutation Combination Based and Grammatical Rule Based Knowledge Provider System”, Intelligent Decision Technologies, Intelligent Decision Technologies, DOI 10.3233/IDT-160276IOS Press, Netherlands, vol. 11, no. 1, pp. 39-60, 2017 (SCOPUS/ESCI).
  • Prasenjit Mukherjee , Baisakhi Chakraborty, “Automated Knowledge Provider System with Natural Language Query Processing”, IETE Technical Review Journal, Vol. 33(5), pp. 525-538, 2017.(SCIE)
  • Prasenjit Mukherjee and Baisakhi Chakraborty: NLP BASED HYBRID KNOWLEDGE PROVIDER SYSTEM FOR TEXT AND IMAGE DATA EXTRACTION FROM A USER QUERY. IIOABJ, vol. 7 (2), pp. 25-33, 2016 (SCOPUS).
  • Fernandes, Steven Lawrence, Chakraborty, Baisakhi, Gurupur, Varadraj P., Prabhu G, Ananth,“Early Skin Cancer Detection Using Computer Aided Diagnosis Techniques”, Journal of Integrated Design and Process Science, vol. 20, no. 1, pp. 33-43, 2016.
  • Meghamala Sinha, Baisakhi Chakraborty, “Student evaluation model using Bayesian network in an intelligent E-learning system, IIOAB Journal”, Vol. 7(2), pp.51-60 • January 2016 (SCOPUS).
  • P.S. Banerjee, Baisakhi Chakraborty, “Feature Extraction of Voice Segments Using Cepstral Analysis for Voice Regeneration”, BIJIT - BVICAM’s International Journal of Information Technology, Volume 7: No./Issue 2, pp.908–915, July-Dec 2015, ISSN No. 0973-5658 (Indexed in INSPEC IET (UK) & Index Copernicus International (Poland).
  • S. Abdul Rahim, Baisakhi Chakraborty, Joyati Debnath, Narayan C. Debnath, Design Graph Multi-Dimensional Data Model of a Data Warehouse and conversion of its equivalent Object - Oriented Schema. ISCC 2013: 79-84.
  • Ankit Srivastava, Baisakhi Chakraborty, “Anti-Trust Rank for Detection of Web Spam and Seed Set Expansion” International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 3, Number 4 (2013), pp. 241-250, 2013.
  • Mukesh Kumar Jha , Debanjan Pakhira , Baisakhi Chakraborty , “Diabetes Detection and Care Applying CBR Techniques”, International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Vol. 2(6), pp. 132-137, January, 2013.
  • Chakraborty, Baisakhi, Ghosh, D. , Debnath, Narayan C., “A knowledge worker centric KMS for smart E-services”, Journal of Computational Methods in Sciences and Engineering, vol. 11, no. s1, pp. 41-54, 2011.
  • Chakraborty, Baisakhi, Maji, Ranjan Kumar, Ghosh, D., “An object oriented programming platform for ontology based KMS”, Journal of Computational Methods in Sciences and Engineering, vol. 11, no. s1, pp. 139-148, 2011.
  • Baisakhi Chakraborty, Iyenger Srinivas, Puneet Sood, Vivek Nabhi, D. Ghosh, Narayan Debnath, “Application of CBR in developing a prototype Swine Flu Medical Recommender”, International Journal of Recent Trends in Engineering and Technology, vol. 4, no. 2, pp. 25-29, Nov. 2010.