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Publications

  
 

Book Chapters


2021

  • C. Kharkongor & B. Nath. Set Representation of Itemset for Candidate Generation with Binary Search Technique. In S. K. Bhatia, S. Tiwari, S. Ruidan, M. C. Trivedi & K. K. Mishra (Eds) Advances in Computer, Communication and Computational Sciences. Springer, Singapore. 2021.

  • K. Bhardwaj, A. Das & S. Patra. Spectral-Spatial Active Learning in Hyperspectral Image Classification Using Threshold-Free Attribute Profile. In D. Bhattacharjee, D. K. Kole, N. Dey, S. Basu & D. Plewczynski (Eds) Proceedings of International Conference on Frontiers in Computing and Systems. Springer, Singapore. 2021.

  • K. Das & S. K. Sinha. User Behaviour Analysis from Various Activities Recorded in Social Network Log Data. In J.K. Mandal, S. Mukhopadhyaya & A. Roy (Eds) Applications of Internet of Things. Springer, Singapore. 2021

  • P. Sen, D. Tula, S. K. Ray & S. S. Satapathy. Estimating RNA Secondary Structure by Maximizing Stacking Regions. In J.K. Mandal, S. Mukhopadhyaya & A. Roy (Eds) Applications of Internet of Things. Springer, Singapore. 2021

  • P. Chauhan, S. K. Deka & N. Sarma. An Efficient Decision Fusion Scheme for Cooperative Spectrum Sensing for Cognitive Radio Networks. In J. K. Mandal, S. Mukhopadhyay & A. Roy (Eds) Applications of Internet of Things. Springer, Singapore. 2021.

  • P. Sharma, A. K. Pandey, D. K. Bhattacharyya, J. K. Kalita & S. C. Dutta. Discovering Biomarkers in Parkinson's Disease Using Module Correspondence and Pathway Information. In D. Giri, R. K. Buyya, S. Ponnusamy, D. De, A. Adamatzky & J. H. Abawajy (Eds) Proceedings of the Sixth International Conference on Mathematics and Computing. Springer, Singapore. 2021

  • R. K. Deka, K. P. Kalita, D. K. Bhattacharyya & D. Boro. A Smart Feature Reduction Approach to Detect Botnet Attack in IoT. In P. K. Bora, S. Nandi & S. Laskar (Eds) Emerging Technologies for Smart Cities. Springer, Singapore. 2021

  • S. Saikia & S. Saharia. The Sattriya Dance Ground Exercise Video Dataset for Dynamic Dance Gesture Recognition. In S. Borah, R. Pradhan, N. Dey & P. Gupta (Eds) Soft Computing Techniques and Applications. Springer, Singapore. 2021


2020

  • C. Kharkongor & B. Nath. A Survey on Representation for Item sets in Association Rule Mining. In B. Pati, C. R. Panigrahi, R. Buyya, K. C. Li, (Eds) Advanced Computing and Intelligent Engineering. Springer, Singapore. 2020

  • K. Ray, S. Shil, S. Saharia, N. Sarma & N. S. Karabasanavar. Detection and Identification of Parasite Eggs from Microscopic Images of Fecal Samples. In A. Das, J. Nayak, B. Naik, S. Pati, D. Pelusi (Eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing. Springer, Singapore, 2020.

  • N. Medhi & D. K. Saikia. OpenFlow-Based Multi-controller Model for Fault-Tolerant and Reliable Control Plane. In A. Elci, P. K. Sa, C. N. Modi, G. Olague, M. N. Sahoo, S. Bakshi, (Eds) Smart Computing Paradigms: New Progresses and Challenges. Springer, Singapore, 2020.

  • P. Sen, A. Waris, S. K. Ray & S. S. Satapathy. A Web Portal to Calculate Codon Adaptation Index (CAI) with Organism Specific Reference Set of High Expression Genes for Diverse Bacteria Species. In G. S. Tomar, N. S. Chaudhari, J. Luis, V. Barbosa & M. K. Aghwariya (Eds) International Conference on Intelligent Computing and Smart Communication. Springer, Singapore. 2020

  • R. C. Baishya, R. Sarmah & D. K. Bhattacharyya. Improving Co-expressed Gene Pattern Finding Using Gene Ontology. In S. Dehuri, B. Mishra, P. Mallick, SB. Cho, M. Favorskaya. (Eds) Biologically Inspired Techniques in Many-Criteria Decision Making. Learning and Analytics in Intelligent Systems. Springer, Cham, 2020

  • R. Das & N. Medhi. Modular Rook (MR): A Modular Data Center Network Architecture Based on Rook's Graph. In A. Elci, P. K. Sa, C. N. Modi, G. Olague, M. N. Sahoo, S. Bakshi, (Eds) Smart Computing Paradigms: New Progresses and Challenges. Springer, Singapore, 2020.

  • R. Joshi & R. Sarmah. Survey of Methods Used for Differential Expression Analysis on RNA Seq Data. In S. Dehuri, B. Mishra, P. Mallick, SB. Cho, M. Favorskaya. (Eds) Biologically Inspired Techniques in Many-Criteria Decision Making. Learning and Analytics in Intelligent Systems. Springer, Cham, 2020

  • S. Borah & B. Borah. Three-Dimensional (3D) Polygon Mesh Authentication Using Sequential Bit Substitution Strategy. In Behera H., Nayak J., Naik B., Pelusi D. (Eds) Computational Intelligence in Data Mining. Springer, Singapore, 2020.

  • S. Rajbanshi, K. Bhardwaj, S. Patra. Spectral-Spatial Active Learning Techniques for Hyperspectral Image Classification. In H. S. Behera, J. Nayak, B. Naik, D. Pelusi, (Eds) Computational Intelligence in Data Mining. Springer, Singapore, 2020


2019

  • A. Das, K. Bhardwaj & S. Patra. A Comparison of Different Filtering Strategies Used in Attribute Profiles for Hyperspectral Image Classification. In G. S. Tomar, N. S. Chaudhari, J. L. V. Barbosa, M. K. Aghwariya, (Eds.) International Conference on Intelligent Computing and Smart Communication. Springer, Singapore, 2019.

  • C. Kharkongor & B. Nath. Bit Representation for Candidate Itemset Generation. In G. S. Tomar, N. S. Chaudhari, J. L. V. Barbosa, M. K. Aghwariya, (Eds.) International Conference on Intelligent Computing and Smart Communication. Springer, Singapore, 2019.

  • D. Hijam & S. Saharia. Comparative Study of Different Classification Models on Benchmark Dataset of Handwritten Meitei Mayek Characters. In G. S. Tomar, N. S. Chaudhari, J. L. V. Barbosa, M. K. Aghwariya, (Eds.) International Conference on Intelligent Computing and Smart Communication. Springer, Singapore, 2019.

  • K. Bhardwaj, A. Das & S. Patra. Spectral-Spatial Active Learning with Attribute Profile for Hyperspectral Image Classification. In G. S. Tomar, N. S. Chaudhari, J. L. V. Barbosa, M. K. Aghwariya, (Eds.) International Conference on Intelligent Computing and Smart Communication. Springer, Singapore, 2019.

  • N. Devi & B. Borah. An Approach of Transferring Pre-trained Deep Convolutional Neural Networks for Aerial Scene Classification. In Deka B., Maji P., Mitra S., Bhattacharyya D., Bora P., Pal S. (Eds) Pattern Recognition and Machine Intelligence. Lecture Notes in Computer Science. Springer, Cham. 2019.

  • P. Sen, A. Waris, S. K. Ray & S. S. Satapathy. A Web Portal to Calculate Codon Adaptation Index (CAI) with Organism Specific Reference Set of High Expression Genes for Diverse Bacteria Species. In G. S. Tomar, N. S. Chaudhari, J. L. V. Barbosa, M. K. Aghwariya, (Eds.) International Conference on Intelligent Computing and Smart Communication. Springer, Singapore, 2019.

  • R. K. Prasad, R. Sarmah & S. Chakraborty. Incremental k-Means Method. In: B. Deka, P. Maji, S. Mitra, D. K. Bhattacharyya, P Bora, S. Pal. (Eds) Pattern Recognition and Machine Intelligence. PReMI 2019. Lecture Notes in Computer Science. Springer, Cham, 2019.

  • S. A. Ahmed & B. Nath. Modified FP-Growth: An Efficient Frequent Pattern Mining Approach from FP-Tree. In B. Deka, P. Maji, S. Mitra, D. K. Bhattacharyya, P Bora, S. Pal. (Eds) Pattern Recognition and Machine Intelligence. PReMI 2019. Lecture Notes in Computer Science. Springer, Cham, 2019.


2010

  • Hazarika, S. M. Qualitative Pre-processing for Semantic Search of Unstructured Knowledge. In: Ubiquitous Developments in Knowledge Management-Integrations and Trends: Advances in Knowledge Management Series. Ed. Murray Jennex, pp. 252 - 263, IGI Global.


2009

  • Hazarika, S. M. Landmark-based Shape Context for Recognition of Handwritten Digits. In: Utilizing Information Technology Systems across Disciplines: Advancements in the Application of Computer Science. Eds. Evon M. O. Abu - Taieh et. al., pp. 45 - 55, IGI Global.


2003

  • Cohn, A. G., Magee, D., Galata, A., Hogg, D. and Hazarika, S. M. (2003): Towards an Architecture for Cognitive Vision using Qualitative Spatio-Temporal Representations and Abduction. In: Spatial Cognition III, Eds. C. Freksa, W. Brauer, C. Habel, and K.F. Wender. Lecture Notes in Artificial Intelligence No. 2685, pp. 232 - 248. Springer - Verlag.


2001

  • Cohn, A. G. and Hazarika, S. M. Qualitative Spatio-Temporal Continuity. In: Spatial Information Theory Foundations of Geographic Information Science, Ed. D. Montello, Lecture Notes in Computer Science No. 2205, pp. 92 - 107. Springer - Verlag.

  • S. M. Hazarika, Qualitative Spatial Representation and Reasoning, Encyclopedia of Information Sc & Technology, 2nd Edition, Mehdi Khosrow-Pour, Editor-in-Chief Idea Group Inc. USA, To Appear


Edited Volumes


  • Hazarika, S. M. (2012): Qualitative Spatio-Temporal Representation and Reasoning - Trends and Future Directions. ISBN: 97 - 8161 - 692 - 8681. IGI Global, USA
  • Bhatt, M., Guesgen, H., Woelfl, S. and Hazarika, S. M. (2011): Emerging Applications of Spatial and Temporal Reasoning. Special Issue of Journal of Spatial Cognition and Computation. Vol. 11, No. 1. Taylor and Francis, London, England.
  • Bhatt, M., Guesgen, H. and Hazarika, S. M. (2010): Spatio Temporal Dynamics (STeDy 10). Proceedings of the International Workshop on Spatio-Temporal Dynamics, co-located with the European Conference on Artificial Intelligence (ECAI - 10). ECAI Workshop Proceedings and SFB/TR 8 Spatial Cognition Report Series, Bremen, Germany.
  • Bhattacharyya, D. K. and Hazarika, S. M. (2007): Networks, Security and Soft Computing - Trends and Future Directions. ISBN: 81 - 7319 - 868 - 7. Narosa Publishing House, New Delhi, India.
  • D.K. Bhattacharyya and S. M. Hazarika, Networks, Data Mining and Artificial Intelligence: Trends and Future Directions, Narosa Publishing House, New Delhi, India, January 2006



Technical Reports


  • Bennett, A. G. Cohn, P. Torrini and S. M. Hazarika, Region-Based Qualitative Geometry Technical Report No.- 2000.07, School of Computing, University of Leeds.