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AREA OF INTEREST AND SPECIALISATION (INCLUDING RESEARCH AREA)

Data structure,design and analysis of algorithm,computer organization and architecture,microprocessor,introduction to computing.

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SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

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International Conferences

[46] Sounak Majumdar, Saroj Kr. Biswas and Biswajit Purkayastha:’Effectiveness of Class Imbalance Treatment for Diagnosis of PCOS using Machine Learning Models: A Comparative Study ‘, 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE,  Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India  (Accepted)

[45] Rousanuzzaman, Saroj Kr. Biswas, Debasmita Saha, Dalton Meitei Thounaojam, Barsha Abhisheka, Soumen Das, Biswajit Purkayastha: ESDPCOS: ‘Effectiveness of Combined CNN and Handcrafted Features for Ovarian Cyst Detection in PCOS Patients using Ultrasound Images’, 10th IEEE UP Section International Conference on Electrical, Electronics and Computer Engineering, (UPCON-2023) at Amity University, Greater Noida, (Accepted)

[44] Soumen Das, Saroj Kr. Biswas and Biswajit Purkayastha: ‘Hill-Climbing Optimization for An Efficient Indian Sign Language Recognition System using a k-means Clustering Approach for Keyframe Extraction’, 10th IEEE UP Section International Conference on “Electrical, Electronics and Computer Engineering” (UPCON-2023) at Amity University, Greater Noida, (Accepted)

[43] Barsha Abhisheka, Saroj Kumar Biswas, Debasmita Saha, Soumen Das and Biswajit Purkayastha: ‘The efficacy of combining Deep and Handcrafted Features for Breast Cancer Classification using Ultrasound Images’, 10th IEEE UP Section International Conference on “Electrical, Electronics and Computer Engineering” (UPCON-2023) at Amity University, Greater Noida, (Accepted)

[42] Jahnavi Somavarapu, Saroj Kumar Biswas, Biswajit Purkayastha, Barsha Abhisheka and Tejaswi Potluri: ‘Advancements and Challenges in Fully Automated  Online Proctoring Systems: A Comprehensive Survey of  AI-Driven Solutions’, SmartCom – 2024 and publication in Springer LNNS, Jaipur, India (Accepted)

[41] Sounak Majumdar, Saroj Kr. Biswas and Biswajit Purkayastha: ‘Diagnosis of Polycystic Ovary Syndrome Using Machine Learning Models: A Comparative Analysis’, “4th IEEE International Conference on Innovations in Power and Advanced Computing Technologies”, i-PACT-2023, Vellore Institute of Technology (VIT) (Accepted)

[40] Barsha Abhisheka, Saroj Kumar Biswas, Soumen Das, Biswajit Purkayastha: ‘Combining Handcrafted and CNN Features for Robust Breast Cancer Detection using Ultrasound Images’, 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT-2023), IEEE, Graphic Era University, Dehradun  (Accepted)

[39] Trishita Saha, Saroj Kumar Biswas, Saptarsi Sanyal, Neeta Verma, Biswajit Purkayastha: ‘Credit Risk Prediction using Extra Tree Ensembling  Technique with Genetic Algorithm’, 14th ICCCNT 2023, IEEE, IIT Delhi, Delhi (Accepted)

[38] Trishita Saha,  Saroj Kumar Biswas, Saptarsi Sanyal, Binoti Patro, Biswajit Purkayastha: ‘Credit Risk Prediction using Machine Learning Analytics: An Ensemble Model’,  International Conference on Computer Science, Industrial Electronics (ICCSIE), Bali, Indonesia,  (Accepted)

[37] Shashank Barthe, Saroj Kumar Biswas, Saptarsi Sanyal and Biswajit Purkayastha: ‘Credit Risk Prediction using Stacking Ensemble’,2023 IEEE International Conference on Computer, Electronics & Electrical Engineering and their applications (IC2E3), NIT Uttarakhand, (Accepted)

[36] Deeksha tripathi, Saroj Kumar Biswas, Biswajit Purkayastha, ‘A Comparative Analysis of Ensemble Learning Techniques for Crop Yield Prediction: CYPELA’,  4th IEEE sponsored International Conference on Computing and Communication System (I3CS) 2023, NEHU, Shillong, (Accepted)

[35] Anil Kumar Dasari, Saroj Kr. Biswas, Saptarsi Sanyal and Biswajit Purkayastha, ‘Intrusion Detection System using Ensemble Learning Analytics’, IEEE  8th International Conference for Convergence in Technology (I2CT-2023), Pune, Maharashtra, (Accepted).

[34] Souvik Kumar Parui, Saroj Kr. Biswas, Soumen Das and Biswajit Purkayastha, ‘Multi-Featured Cluster based Keyframe Extraction for Efficient Video Processing and Management’, ‘IEEE Third International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET-2023)”, Vidya Vikas Insitute of Engineering & Technology, Mysuru, (Accepted)

[33] Sounak Majumdar, Saroj Kr. Biswas and Biswajit Purkayastha, ‘Rainfall Forecasting Using Artificial Neural Networks: A Review’, 8th International Conference on Nanoelectronics, Computational Intelligence & Communication Systems(NCCS-2022), Scopus book series LNEE, Springer, (Accepted)

[32] Soumen Das, Saroj Kr. Biswas and Biswajit Purkayastha, ‘Indian Sign Language Recognition System for Emergency Words by Using Shape and Deep Features’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted)

[31] Trishita Saha, Saroj Kumar Biswas, Saptarsi Sanyal, Souvik Kumar Parui and Biswajit Purkayastha, ‘Credit Risk Prediction using Extra Trees Ensemble Method’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted) (Won the best paper award)

[30]  Sounak Majumdar, Saroj Kr. Biswas, Biswajit Purkayastha and Saptarsi Sanya, ‘Rainfall Forecasting for Silchar City using Stacked-LSTM’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted)

[29] Souvik Kumar Parui, Saroj Kr. Biswas, Soumen Das, Manomita Chakraborty and Biswajit Purkayastha, ‘An Efficient Violence Detection System from Video Clips using ConvLSTM and Keyframe Extraction’, IEEE, 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON 2023),  University of Engineering & Management, Jaipur  (Accepted)

[28] Ashmita Roy Medha, Saroj Kr. Biswas, Muskan Gupta, Arpita Nath Boruah, Rahul Kumar, Vivek Verma and Biswajit Purkayastha, ‘Current-best Particle Swarm Optimization’, IEEE IATMSI-2022, ABV-IIITM Gwalior, India.

[27] Sudipta Mandal, Saroj Biswas and Biswajit Purkayastha, ‘Efficacy of Recurrent Neural Networks in rainfall  forecasting: A case study of Shillong weather data’, International Conference on Intelligence Computing Systems and Applications (ICICSA 2022),  Springer   (Accepted)

[26]    Rajdeep Paul, Saroj Kr. Biswas, Arpita Nath Boruah, Akhil Kr. Das and Biswajit Purkayastha: “Machine Learning Expert System for Breast Cancer Detection” “IEEE 2nd Asian Conference on Innovation in Technology (ASAINCON 2022) , Hosted by PCCOER , Pune , India (Accepted)

[25] Rajdeep Paul, Saroj Kr. Biswas, Arpita Nath Boruah, Akhil Kr. Das, S. Reshmi and Biswajit Purkayastha: “Expert System for Breast Cancer Prediction using Ensemble Learning”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

[24] Deeksha tripathi, Saroj Kumar Biswas, S. Reshmi, Arpita Nath Boruah, Biswajit Purkayastha: “Diabetes Prediction Using Machine Learning Analytics: Ensemble Learning Techniques”, “IEEE 2nd Asian Conference on Innovation in Technology (ASAINCON 2022) , Hosted by PCCOER , Pune , India (Accepted)

 

[23] Sandeep Kumar Rana, Arpita Nath Boruah, Saroj Kr. Biswas, Manomita Chakraborty and Biswajit Purkayastha: “Dengue Fever Prediction using Machine  Learning Analytics”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

 

[22] Anil Kumar Dasari, Saroj Kr. Biswas, Dalton Meitei Thounaojam, Debashree Devi, Biswajit Purkayastha: “Ensemble Learning Techniques and theirApplications: An Overview“, ICCCE 2022, Hyderabad  (Accepted)

 

[21] S. Reshmi, Saroj Kr. Biswas, Arpita Nath Boruah, Dalton Meitei Thounaojam and Biswajit Purkayastha: “Diabetes Prediction Using Machine Learning Analytics”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

 

[20] Sudhir Panda, Saroj Kumar Biswas, Dolly Das, Manomita Chakraborty and Biswajit Purkayastha: “Health Insurance Cost Prediction Using Regression Models”, Com-IT-Con 2022, IEEE International Conference on “Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Perspectives, and Prospects, India (Accepted)

 

[19] Saptarsi Sanyal, Saroj Kumar Biswas, Dolly Das, Manomita Chakraborty and Biswajit Purkayastha: ” Boston House Price Prediction Using Regression Models”, IEEE 2nd CONIT 2022, Karnataka, India (Accepted)

 

[18]. Saptarsi Sanyal, Dolly Das, Saroj Kumar Biswas, Manomita Chakraborty and Biswajit Purkayastha: “Heart Disease Prediction Using ML Classification Models”, IEEE 2022 INTERNATIONAL CONFERENCE OF EMERGING TECHNOLOGIES (INCET),Belagavi, Karnataka, (Accepted)

 

[17] Sudipta Mondal, Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purkayastha: “A Review on Rainfall prediction using Neural Networks”  4th International Conference on Machine Intelligence and signal Processing (MISP 2022), NIT Raipur (Accepted)  

 

[16] Soumen Das, Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purkayastha: “A Review on Sign Language Recognition (SLR) System: ML and DL for SLR” IEEE International Conference on Intelligent Systems, Smart and Green Technologies (ICISSGT – 2021), Visakhapatnam (Accepted)

 

[15] Soumen Das, Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purkayastha: “Intelligent Indian Sign Language Recognition Systems: A critical Review” ICT4SD 2021 Sprnger, Goa (Accepted)

 

[14] Rahul Barman, Saroj K. Biswas, Dolly Das, Biswajit Purkayastha and Malaya Dutta Borah, “Case-Based Expert System for Early Detection of Diabetic Retinopathy”, International Conference on Cutting Edge Technologies and Communication Engineering (IC4E-2020), NIT Kurukshetra (Accepted)

 

[13] Bubul Doley, Arpita Nath Boruah, Sazidur Rahman, Saroj Kr. Biswas, Manomita Chakraborty, Sunita Sarkar and Biswajit Purkayastha, “An Improvised Particle Swarm Optimization using Balanced Local Best”, International Conference on Cutting Edge Technologies and Communication Engineering (IC4E-2020), NIT Kurukshetra (Accepted) 

 

[12] Debashree Devi, Saroj. K. Biswas, Biswajit Purkayastha, A Review on Solution to Class Imbalance problem: Undersampling Approaches,  IEEE International Conference on Computational Performance Evaluation (ComPE-2020) (Accepted)

 

[11] Abhinaba Dattachaudhuri, Saroj Kumar Biswas, Sunita Sarkar, Arpita Nath Boruah, Manomita Chakraborty and Biswajit Purkayastha, Transparent Neural based Expert System for Credit Risk (TNESCR): An Automated Credit Risk Evaluation System, IEEE International Conference on Computational Performance Evaluation (ComPE-2020) (Accepted)

 

[10] Rahul Barman,  Saroj Kumar Biswas,  Sunita Sarkar, Biswajit Purkayastha, Badal Soni, Image processing using Case-Based Reasoning: A survey,  INTERNATIONAL CONFERENCE ON ELECTRONIC SYSTEMS AND INTELLIGENT COMPUTING, ESIC2020, Springer  NIT Arunachal Pradesh (Accepted)

 

[9] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Data Mining Using Neural Networks in the form of Classification Rules: A Review, 4th International Conference on Computational Intelligence and Networks (CINE 2020), IEEE (Accepted)

 

[8] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Performance Analysis of Recursive Rule Extraction Algorithms for Disease Prediction, 4th ICACIE 2019, Springer (Accepted)

 

[7] Debashree Devi, Saroj Kr. Biswas, Biswajit Purkayastha, A cost-sensitive weighted Random Forest Technique for credit card fraud detection, 2019 International Conference on Computing, Communication and Networking Technologies, ICCCNT’19, Kanpur, India.

 

[6] D. Devi, S.K. Biswas, B. Purkayastha, “A Boosting based Adaptive Oversampling Technique for treatment of Class Imbalance”, 8th International Conference on Computer Communications and Informatics, ICCCI’19, Coimbatore, India. 2019.

 

[5] Saroj Biswas, Subhasish Chowdhury, Manomita Chakraborty, Biswajit Purkayastha Biswajit Purkayastha: A Medical Expert System to Identify Major Factor of Diseases using P-Rules, ICoIAS’2018, pp. 82-87, IEEE 2018. (Won the best paper presentation award).

 

[4] Heisnam Rohen Singh, Dr. Saroj Kr Biswas, Dr. Biswajit Purkayastha, A Neuro-fuzzy Classification System using Dynamic Clustering, MISP-2017, In Book: Machine Intelligence and Signal Analysis, pp. 157-170, Springer 2019.

[3] “Optimal Combined Nonconvex Economic and Emission Load Dispatch using NSDE”, N. Sinha, B. S. Purkayastha and B. Purkayastha, ICCIMA07, International Conference on Computational Intelligence and Multimedia Applications, 2007, Mepco, Schlenk Engineering College, Sivakasi, Madurai, Dec. 2007

[2] “Hybrid PSO/Self-Adaptive Evolutionary Programming For Economic Dispatch With Non-Convex Cost Function”, N. Sinha, B. S. Purkayastha and B. Purkayastha, CEC2007, IEEE Congress on Evolutionary Computation, Swissotel The Stamford, Singapore, Sept. 2007.

[1] “PSO Embedded Evolutionary Programming Technique for non-convex Economic Load Dispatch”, N. Sinha and B. Purkayastha, IEEE PES Power System Conference and Exposition 2004, New York, USA, pp. 10-13, Oct. 2004.

[32] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘HBMD-Net: Feature Fusion based Breast Cancer Classification with Class Imbalance Resolution’, Journal of Imaging Informatics in Medicine, Springer, Accepted, (SCI journal, IF: 5.4)  (February, 2024)

[31] Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha: ‘An Expert System for Indian Sign Language Recognition using Spatial Attention based Feature and Temporal Feature’, Transactions on Asian and Low-Resource Language Information Processing, ACM Transaction,  Accepted, (SCI journal, IF: 1.471)  (January, 2024)

[30] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘HBNet: An integrated approach for Resolving Class Imbalance and Global Local Feature Fusion for Accurate Breast Cancer Classification’, Neural Computing and Applications, Springer, Accepted, (SCI journal, IF: 6.0)  (January, 2024)

[29] Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha: ‘Recent Trend in Medical Imaging Modalities and their Applications in Disease Diagnosis: A Review’, Multimedia Tools and Applications, Springer,   Accepted (SCI journal, IF: 3.6) (September, 2023)

[28] Barsha Abhisheka , Saroj Kumar Biswas, Biswajit Purkayastha: ‘A Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning’ Archives of Computational Methods in Engineering, vol.30, no. 17, pp. 5023-5052, Springer (SCI journal, IF: 8.967)  (June, 2023)

[27] Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha, ‘Automated Indian Sign Language Recognition System by Fusing Deep and Handcrafted Feature’, Multimedia Tools and Applications, vol. 82, pp. 16905–16927, Springer, October 2022 (SCI journal, IF: 3.6) (22nd October, 2022)

[26] Soumen Das, Saroj Kr. Biswas, Biswajit Purkayastha, ‘A Deep Sign Language Recognition System for Indian Sign Language’, Neural Computing and Applications,  vol. 35, pp. 1469–1481, Springer, September 2022 (SCI journal, IF: 6.0) (12th September, 2022)

[25] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purakayastha, “Computer Aided Heart Disease Diagnosis using Recursive Rule Extraction Algorithms from Neural Networks”, International Journal of Computational Intelligence and Applications,  vol. 21, no. 2, pp. 2250011-1-2250011-26, World Scientific, June, 2022 (ESCI, SCOPUS indexed) (15th Feb, 2022)

[24] Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha, Correlation-based Oversampling aided Cost Sensitive Ensemble learning technique for Treatment of Class Imbalance, Journal of Experimental & Theoretical Artificial Intelligence, vol. 34, no. 1 pp. 143-174 Taylor & Francis, 2022 (SCI journal, IF: 2.111)

[23] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, Rule Extraction from Neural Network trained using Deep Belief Network and Back Propagation, Knowledge and Information Systems  vol. 62, no. 17, pp. 3753–3781, Springer, September, 2020 (SCI journal, IF: 2.547)

[22] Manomita Chakraborty, Saroj Kr. Biswas, Biswajit Purkayastha, A Novel Ensembling Method to Boost Performance of Neural Networks, Journal of Experimental & Theoretical Artificial Intelligence, Taylor & Francis, Accepted: doi.org/10.1080/0952813X.2019.1610799 (SCI journal, IF: 2.111)

[21] Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha, Learning in presence of Class Imbalance and Class Overlapping by using One-class SVM and Undersampling Technique, Connection Science,  vol. 38, no. 3, pp. 1-38, DOI: 10.1080/09540091.2018.1560394, Taylor & Francis, (SCI journal, IF: 0.933)

[20] Manomita Chakraborty,   Saroj Kr. Biswas, Biswajit Purkayastha, Rule Extraction from Neural Network using Input Data Ranges Recursively, New Generation Computing,  vol. 37, no.1, pp.  67-96, Springer, (SCI journal, IF: 0.833)

[19] Manomita Chakraborty,   Saroj Kr. Biswas,  Biswajit Purkayastha,    Recursive Rule Extraction from Neural Network using Reverse  Engineering Technique, New Generation Computing,  vol. 36, no. 2, pp. 119-142, Springer (SCI journal, IF: 0.833)

[18] Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purakayastha: Rule Extraction from Neural Network using Classified and Misclassified Data: International Journal on Artificial Intelligence Tools, World Scientific vol. 26, no. 3 pp.1-26, 2017 (SCI journal, IF: 0.778)

[17] Saroj Kr. Biswas, Manomita Chakraborty, Biswajit Purakayastha: A Rule generation Algorithm from Neural Network using Classified and Misclassified Data: International Journal of Bio-Inspired Computation, Inderscience, vol. 11 no.1, pp. 60-70, 2018, (SCI journal, IF: 3.395)

[16] Debashree Devi, Saroj Kr. Biswas, Biswajit Purakayastha: REDUNDANCY-DRIVEN MODIFIED TOMEK LINK BASED UNDERSAMPLING: A SOLUTION TO CLASS IMBALANCE, Pattern Recognition Letters, Elsevier, vol. 93, pp. 3-12, 2017 (SCI journal, IF: 3.255  )

[15] Saroj Kr. Biswas, Monali Bordoloi, Biswajit Purakayastha: Review on Feature Selection and Classification using Neuro-Fuzzy Approaches, International Journal of Applied Evolutionary Computation, IGI Global, vol. 7 no. 4, pp. 28-44, 2016.

[14] Saroj Kr. Biswas, Heisnam Rohen Singh, Biswajit Purakayastha: A Neuro-fuzzy Classification Technique using Dynamic Clustering, Engineering  Applications of artificial Intelligence, Elsevier Major Revision (SCI journal)

[13] Heisnam Rohen Singh, Saroj Kr. Biswas, Biswajit Purakayastha: A Neuro-fuzzy Classification Technique using Dynamic Clustering and GSS Rule Generation, Journal of Computational and Applied Mathematics, Elsevier, Elsevier vol. 309, pp. 683-694, 2016-2017 (SCI journal, 5-year IF: 2.014 )

[12] Saroj Kr Biswas, Monali Bordoloi, Heisnam Rohen Singh, Biswajit Purkayastha: A Neuro-fuzzy Rule-based Classifier Using Important Features and Top Linguistic Features, International Journal of Intelligent Information Technologies (IJIIT), vol. 12, issue 3 IGI Global(SCOPUS, SSCI(web of science))

[11] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Leniency Marbaniang: Weather Prediction by Integrating Recurrent Neural Network Dynamics into Case Based Reasoning, International Journal of Knowledge Based Computer Systems, PublishingIndia.com,   vol. 4, issue. 1 pp. 1-17, PublishingIndia.com, 2015.

[10] Saroj Kr. Biswas, Manomita Chakraborty, Heisnam Rohen Singh, Debashree Devi, Biswajit Purkayastha, Akhil Kr. Das, Hybrid Case Based Reasoning System by Cost Sensitive Neural Network for Classification, Soft computing, Soft computing, Springer, vol. 21,Issue 24, pp. 7579–7596, 2017, (SCI journal, IF 3.050)

[9] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Recent trends in CBR, challenges and future directions: a critical review” International Journal of Knowledge Based Computer Systems, PublishingIndia.com, Accepted, 2015, In press.

[8] Saroj Kr Biswas, Barnana Baruah, Nidul Sinha and Biswajit Purkayastha, A Hybrid CBR Classification Model by Integrating ANN into CBR, International Journal of Services Technology and Management, Inderscience, 2015, Vol. 21, Nos. 4/5/6, pp. 272-293. (SCOPUS, ESCI(web of science))

[7] Saroj Kr. Biswas, Barnana Baruah, Biswajit Purkayastha, Manomita Chakraborty, An ANN Based Classification Algorithm for Swine Flu Diagnosis , International Journal of Knowledge Based Computer Systems, PublishingIndia.com, 2015, vol. 3, issue 1, pp. 1-12.

[6] Saroj Kr Biswas, Leniency Marbaniang , Biswajit Purkayastha, Manomita Chakraborty, Heisnam Rohen Singh, Monali Bordoloi, Rainfall Forecasting by Relevant Attributes Using Artificial Neural Networks – A Comparative Study, International Journal of Big Data Intelligence, Inderscience, 2015 vol.3 no. 2, pp. 111-121.

[5] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Leniency Marbaniang, Hybrid expert system using case based reasoning and neural network for classification, Biologically Inspired Cognitive Architectures, Elsevier, 2014, vol. 9, pp. 57– 70. (SCI journal, IF: 1.074)

[4] Saroj K. Biswas; Nidul Sinha; Biswajit Purkayastha, A review on fundamentals of case-based reasoning and its recent application in different domains, International Journal of Advanced Intelligence Paradigms, Inderscience, 2014, vol. 6, no.3, pp. 235-254. (SCOPUS journal)

[3] Saroj Kr Biswas, Nidul Sinha, Biswajit Purakayastha, Leniency Marbaniang, Weather Prediction by Recurrent Neural Network Dynamics,  International Journal of Intelligent Engineering Informatics, Inderscience, 2014, Vol. 2, Nos. 2/3, pp. 166-180.

[2] Saroj K. Biswas, Nidul Sinha, Barnana Baruah, Biswajit Purkayastha, Intelligent Decision Support System of Swine Flu Prediction using Novel Case Classification Algorithm, Int. J. Knowledge Engineering and Data Mining, Inderscience, 2014, Vol. 3, No. 1, pp. 1-19.

[1] Saroj Kr. Biswas, Akhil Kr. Das, Dr. Biswajit Purkayastha, Dibyendu Barman, Techniques for Efficient Case Retrieval and Rainfall Prediction Using  CBR and Fuzzy Logic, International Journal of Electronics Communication and Computer Engineering, vol. 4, issue 3, pp.692-698, 2013.