Journal Papers

Communicated

1. AK Dey, PK Singh, PKD Pramanik*, P Choudhury, An Improved Similarity Measure using Mean Divergence of User Ratings to Mitigate Sparsity in Collaborative Filtering based Recommendation Systems, Information Retrieval Journal, Springer, 2022. [Indexed in SCIE] [IF 2.024, SJR .77, Q1]

2. PKD Pramanik, BK Upadhyaya, D Sarkar, A Chakraborty, Wireless Charging: Fundamentals, Taxonomy, Standards, and Research Progress & Challenges, Journal of Power Sources, Elsevier, 2022 [Indexed in SCIE] [IF 9.794, SJR 1.98, Q1].

3. PKD Pramanik*, S Pal, P Choudhury, Resource Profiling and Selection for Local Mobile Crowd Computing, Wireless Networks, Springer [SCIE] [IF 2.701, SJR 0.42, Q2].

Accepted

Published

1. A Saha, SM Ganie, PKD Pramanik, RK Yadav, S Mallik, Z Zhao, VER-Net: A Hybrid Transfer Learning Model for Lung Cancer Detection using CT Scan Images, BMC Medical Imaging, Springer Nature, 2024. [SCIE] [IF 2.7, SJR 0.5, Q2] 

2. PK Singh, PKD Pramanik*, N Sinhababu, P Choudhury, Improving Detection of Unknown Shilling Attacks in Recommender Systems, Wireless Personal Communications, 2021. [SCIE] [IF 2.017, SJR 0.3, Q3]

3. AK Dey, PKD Pramanik, PK Singh, P Choudhury, Improved Recommendations Utilizing Users' Demographic Information, Quality and Quantity, Springer, 2024. [Scopus, SJR 0.7, Q1] [Accepted]

4. PKD Pramanik*, T Biswas, P Choudhury, Load Balance-Aware Energy-Efficient Scheduling for Mobile Crowd Computing: A PSO-based Solution, Sustainable Computing: Informatics and Systems, Elsevier. [Indexed in SCIE] [IF 4.923, SJR 1.07, Q1] 

5. PKD Pramanik, S Pal, M Mukhopadhyay, P Choudhury, Sustainable Edge Computing with Mobile Crowd Computing for Smart HVAC System in an Office Building, Sustainable Computing: Informatics and Systems, Elsevier. [Indexed in SCIE] [IF 4.923, SJR 1.07, Q1].

6. SM Ganie, PKD Pramanik*, Z Zhao, Improved Prediction of Liver Disease from Clinical Data through an Evaluation of Ensemble Learning Approaches, BMC Medical Informatics and Decision Making, Springer Nature, 2023. [Indexed in SCIE] [IF 3.5, SJR 0.94, Q1] [Communicated]

7. S Pal, PKD Pramanik*, P Choudhury, Mitigating Cold Start Problem in Personalized Learning Recommendation System by Learner Query Analysis, Multimedia Tools and Applications, Springer. [Indexed in SCIE] [IF 3.6, SJR 0.72, Q1].

8. S Pal, PKD Pramanik*, P Choudhury, Aggregated Relative Similarity (ARS): A novel similarity measure for improved personalised learning recommendation using hybrid filtering approach, Multimedia Tools and Applications, Springer. [Indexed in SCIE] [IF 3.6, SJR 0.72, Q1]

9. BK Upadhyaya, A Saha, PKD Pramanik*, Impact of e-Learning on Engineering Education during COVID-19 Pandemic: A Study in the North Eastern Region of India, Turkish Online Journal of Distance Education [Indexed in ESCI, Scopus] [SJR 0.45, Q2]

10. SM Ganie, PKD Pramanik*, Chronic Liver Disease Prediction Using Boosting Techniques, Healthcare Analytics, Elsevier, 2024 (DOI: 10.1016/j.health.2024.100313) [Scopus] <Download>

11. SM Ganie, PKD Pramanik, S Mallik, Z Zhao, Chronic Kidney Disease Prediction Using Boosting Techniques, PLoS ONE, vol. 18(12), e0295234, 2023. (DOI: 10.1371/journal.pone.0295234) [SCIE] [IF 3.7, SJR .89, Q1]  <Link> <Download> 

12. SM Ganie, PKD Pramanik, MB Malik, A Nayyar, An Ensemble Learning Approach for Diabetes Prediction using Boosting Techniques, Frontiers in Genetics, Computational Genomics, vol. 14, 2023. (DOI: 10.3389/fgene.2023.1252159) [SCIE] [IF 3.7, SJR 1, Q2] <Download>

13. PKD Pramanik, S Pal, P Choudhury, Mobile Crowd Computing: Potentials, Architecture, Requirements, Challenges, and Applications, The Journal of Supercomputing, Springer, 2023. [SCIE] [IF 3.3, SJR .68, Q2] <Link> <Download>

14. M Gheisari, F Ebrahimzadeh, M Rahimi, M Moazzamigodarzi, Y Liu, PKD Pramanik, MA Heravi, AJ Moshayedi, M Ghaderzadeh, MR Feylizadeh, S Kosari, Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey, CAAI Transactions on Intelligence Technology, IET-Wiely, 2023. (DOI: 10.1049/cit2.12180) [SCIE] [IF 7.985, SJR 1.55, Q1] <Download>

15. S Sengupta, S Pal, PKD Pramanik*, Mapping Learner's Query to Learning Objects using Topic Modeling and Machine Learning Techniques, Scalable Computing: Practice and Experience, vol. 24(4), pp. 831–839, 2023, Universitatea de vest. (DOI: 10.12694/scpe.v24i4.2466) [ESCI, Scopus] [IF 1.1, SJR 0.34, Q3] <Link> <Download>

16. PKD Pramanik*, N Sinhababu, KS Kwak, P Choudhury, Deep Learning-based Resource Availability Prediction for Local Mobile Crowd Computing, IEEE Access, 2021. (DOI: 10.1109/ACCESS.2021.3103903) [SCIE] [IF 3.367, SJR 0.59, Q1] <Download>

17. SM Ganie, PKD Pramanik, MB Malik, A Nayyar, An Improved Ensemble Learning Approach for Heart Disease Prediction using Boosting Algorithms, Computer Systems Science and Engineering, Tech Science Press, 2022. [SCIE] [IF 4.397, SJR 0.32, Q3] <Download>

18. PKD Pramanik*, T Biswas, P Choudhury, Multicriteria-based Resource-aware Scheduling in Mobile Crowd Computing: A Heuristic Approach, Journal of Grid Computing, Springer [SCIE] [IF 4.674, SJR 1.18, Q1] <Link> <Download>

19. PK Singh, PKD Pramanik, M Sardar, A Nayyar, M Mashud, P Choudhury, Generating A New Shilling Attack for Recommender Systems, Computers, Materials and Continua, Tech Science Press, vol. 71(2), pp. 2827-2846, 2021. (DOI:10.32604/cmc.2022. 020437) [SCI] [IF 4.89, SJR 0.79, Q1] <Download>

20. PKD Pramanik, S Biswas, S Pal, D Marinković, P Choudhury, A Comparative Analysis of Multi Criteria Decision Making Methods for Resource Selection in Mobile Crowd Computing, Symmetry, 13(9), 2021. (DOI: 10.3390/sym13091713) [SCIE] [IF 2.713, SJR 0.39, Q2] <Download> 

21. PKD Pramanik, N Sinhababu, A Nayyar, M Mashud, P Choudhury, Predicting Resource Availability in Local Mobile Crowd Computing Using Convolutional GRU, Computers, Materials and Continua, Tech Science Press, 2021. (DOI: 10.32604/cmc.2021.019630) [SCI] [IF 4.89, SJR 1.53, Q1]

22. PK Singh, PKD Pramanik, P Choudhury, Mitigating Sparsity using Bhattacharyya Coefficient and Items’ Categorical Attributes: Improving the Performance of Collaborative Filtering based Recommendation Systems, Applied Intelligence, Springer, 2021. (DOI: 10.1007/s10489-021-02462-8) [SCIE] [IF 3.325, SJR 0.73, Q2] <Link>

23. BK Upadhyaya, PKD Pramanik*, SK Sanyal, High-Throughput Resource-Efficient Reconfigurable Interleaver for MIMO WLAN Application, PeerJ Computer Science, vol. 7(e581), 2021. (DOI: 10.7717/peerj-cs.581) [SCIE] [IF 3.091, SJR 1.6, Q1] <Download> 

24. S Pal, PKD Pramanik*, A Maity, P Choudhury, Learner question’s correctness assessment and a guided correction method: enhancing the user experience in an interactive online learning system, PeerJ Computer Science, vol. 7(e532), 2021. (DOI: 10.7717/peerj-cs.532) [SCIE] [IF 3.091, SJR 1.6, Q1] <Download> 

25. S Pal, PKD Pramanik, M Alsulami A Nayyar, M Zarour, P Choudhury, Using DEMATEL for Contextual Learner Modelling in a Personalised and Ubiquitous Learning Scenario, Computers, Materials and Continua, Tech Science Press, 2021. (DOI: 10.32604/cmc.2021.017966) [SCI] [IF 4.89, SJR 1.53, Q1] <Download> 

26. S Pal, PKD Pramanik*, P Choudhury, Enhanced Metadata Modelling and Extraction Methods to Acquire Contextual Pedagogical Information from e-Learning Contents for Personalised Learning Systems, Multimedia Tools and Applications, Springer, 2021. (DOI: 10.1007/s11042-020-10380-z)  [SCIE] [IF 2.313, SJR 0.46, Q1] <Link>  <Download> 

27. PK Singh, PKD Pramanik, AK Dey, P Choudhury, Recommender Systems: An Overview, Research Trends and Future Direction, International Journal of Business and Systems Research, InderScience, 2021. (DOI: 10.1504/IJBSR.2021.111753) [Scopus] [SJR 0.37, Q2] <Link> <Download> 

28. PKD Pramanik*, G Bandyopadhyay, P Choudhury, Predicting Relative Topological Stability of Mobile Users in a P2P Mobile Cloud, SN Applied Sciences, Springer, 2020 (DOI: 10.1007/s42452-020-03584-3) [ESCI] <Download> 

29. A Maity, S Ghosh, S Karfa, M Mukhopadhyay, S Pal, PKD Pramanik*, Sentiment Analysis from Travellers’ Reviews using Enhanced Conjunction Rule based Approach for Feature-specific Evaluation of Hotels, Journal of Statistics and Management Systems, 2020, Taylor & Francis (DOI: 10.1080/09720510.2020.1799499) [ESCI] <Link> 

30. AK Dey, PKD Pramanik, P Choudhury, G Bandyopadhyay, Distinctive Author Ranking using DEA Indexing, Quality and Quantity, 2020, Springer (DOI: 10.1007/s11135-020-01018-1) [Scopus] [IF 1.072] [SJR 0.5, Q2] <Link> <Download> 

31. PKD Pramanik, A Solanki, A Debnath, A Nayyar, S El-Sappagh, KS Kwak, Advancing Modern Healthcare with Nanotechnology, Nanobiosensors, and Internet of Nano Things: Taxonomies, Applications, Architecture, and Challenges, IEEE Access, vol 8(1), pp. 65230-65266, 2020. (DOI: 10.1109/ACCESS.2020.2984269) [SCIE] [IF 4.098] [SJR 0.61, Q1] <Download> 

32. PKD Pramanik*, P Choudhury, Mobility-Aware Service Provisioning for Delay Tolerant Applications in a Mobile Crowd Computing Environment, SN Applied Sciences, 2020, Springer (DOI: 10.1007/s42452-020-2212-7). [ESCI] <Download> 

33. PKD Pramanik*, S Pal, M Mukhopadhyay, Big Data & Big Data Analytics for Improved Healthcare Service and Management, International Journal of Privacy and Health Information Management, IGI Global, vol. 8(1), pp. 13-51, 2020. (DOI: 10.4018/IJPHIM.2020010102)  [Inspec] <Link> <Download> 

34. PKD Pramanik, N Sinhababu, B Mukherjee, S Padmanaban, A Maity, BK Upadhyaya, JB Holm-Nielsen, P Choudhury, Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-art Review on Smartphone Battery and Energy Usage, IEEE Access, vol 7(1), pp. 182113-182172, 2019. (DOI: 10.1109/ACCESS.2019.2958684). [SCIE] [IF 4.098] [SJR 0.61, Q1] <Download> 

35. B Suri, PKD Pramanik*, S Taneja, A Hybrid Fog Architecture: Improving the Efficiency in IoT-based Smart Parking Systems, Recent Advances in Computer Science and Communications, vol. 14(3), pp. 736-752, 2021, Bentham Science (DOI: 10.2174/2213275912666190823113524). [Scopus] [SJR 0.17, Q3] <Link>

36. S Pal, PKD Pramanik*, T Majumdar, P Choudhury, A Semi-Automatic Metadata Extraction Model and Method for Video-based e-learning Contents, Education and Information Technologies, vol. 24(6), pp. 3243-3268, 2019, Springer (DOI: 10.1007/s10639-019-09926-y). [ESCI, Scopus] [SJR 0.6, Q1] <Link> <Download> 

37. PKD Pramanik*, S Pal, P Choudhury, Green and Sustainable High-Performance Computing with Smartphone Crowd Computing: Benefits, Enablers, and Challenges, Scalable Computing: Practice and Experience, vol. 20(2), pp. 259–283, 2019 (DOI: 10.12694/scpe.v20i2.1517). [ESCI, Scopus] [SJR 0.18, Q3] <Link> <Download> 

38. S Pal, PKD Pramanik*, P Choudhury, A Step Towards Smart Learning: Designing an Interactive Video-Based M-Learning System for Educational Institutes, International Journal of Web-Based Learning and Teaching Technologies, vol. 14(4), 2019, IGI Global (DOI: 10.4018/IJWLTT.2019100102). [Scopus] [SJR 0.19, Q4] <Link> <Download> 

39. PK Singh, PKD Pramanik, P Choudhury, An Improved Similarity Calculation Method for Collaborative Filtering-based Recommendation, Considering Neighbor’s Liking and Disliking of Categorical Attributes of Items, Journal of Information and Optimization Sciences, 40(2), pp. 397–412, 2019, Taylor & Francis (DOI: g/10.1080/02522667.2019.1580881). [ESCI, WoS] <Link> <Download> 

40. B Sarkar, N Sinhababu, M Roy, PKD Pramanik, P Choudhury, Mining Multilingual and Multiscript Twitter Data: Unleashing the Language and Script Barrier, International Journal of Business Intelligence and Data Mining, vol. 16(1), pp. 107-127, 2020, InderScience (DOI: 10.1504/IJBIDM.2020.103847). [Scopus] <Link>

41. A Upadhyay, A Paul, PKD Pramanik, Semantic Web Crawler for More Relevant Search Using Ontology, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 4(12), pp.  958-962, 2014 (ISSN: 2277-128X) <Link> <Download> 

42. P Kumar, PKD Pramanik, Host Selection Methodology in Cloud Computing Environment, International Journal of Advanced Research in Computer Engineering & Technology, vol. 1(8), 2012 (ISSN: 2278-1323) <Link> <Download>