A Novel Neighborhood Calculation Method by Assessing Users' Varying Preferences in Collaborative Filtering. - Pradeep Kumar Singh 003; Pijush Kanti Dutta Pramanik; Narayan C. Debnath; Prasenjit Choudhury (CATA, 2019)

Power Consumption Analysis, Measurement, Management, and Issues: A State-of-the-Art Review of Smartphone Battery and Energy Usage. - Pijush Kanti Dutta Pramanik; Nilanjan Sinhababu; Bulbul Mukherjee; Sanjeevikumar Padmanaban; Aranyak Maity; Bijoy Kumar Upadhyaya; Jens Bo Holm-Nielsen; Prasenjit Choudhury (IEEE Access, 2019)

A semi-automatic metadata extraction model and method for video-based e-learning contents. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Tripti Majumdar; Prasenjit Choudhury (Educ. Inf. Technol., 2019)

A Step Towards Smart Learning: Designing an Interactive Video-Based M-Learning System for Educational Institutes. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Int. J. Web Based Learn. Teach. Technol., 2019)

Special Issue on Recent Trends and Future of Fog and Edge Computing, Services and Enabling Technologies Editorial File. - Anand Nayyar; Rudra Rameshwar; Pijush Kanti Dutta Pramanik (Scalable Comput. Pract. Exp., 2019)

Green and Sustainable High-Performance Computing with Smartphone Crowd Computing. - Pijush Kanti Dutta Pramanik; Saurabh Pal 001; Prasenjit Choudhury (Scalable Comput. Pract. Exp., 2019)

Real-Time Learner Classification Using Cognitive Score. - Avick Kumar Dey; Bibek Poddar; Pijush Kanti Dutta Pramanik; Narayan C. Debnath; Sultan Aljahdali; Prasenjit Choudhury (CATA, 2020)

Facial Emotion Detection to Assess Learner's State of Mind in an Online Learning System. - Moutan Mukhopadhyay; Saurabh Pal 001; Anand Nayyar; Pijush Kanti Dutta Pramanik; Niloy Dasgupta; Prasenjit Choudhury (ICIIT, 2020)

Advancing Modern Healthcare With Nanotechnology, Nanobiosensors, and Internet of Nano Things: Taxonomies, Applications, Architecture, and Challenges. - Pijush Kanti Dutta Pramanik; Arun Solanki; Abhinaba Debnath; Anand Nayyar; Shaker H. Ali El-Sappagh; Kyung-Sup Kwak (IEEE Access, 2020)

Mining multilingual and multiscript Twitter data: unleashing the language and script barrier. - Bidhan Sarkar; Nilanjan Sinhababu; Manob Roy; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Int. J. Bus. Intell. Data Min., 2020)

Introduction to the Special Issue on Evolving IoT and Cyber-Physical Systems: Advancements, Applications, and Solutions. - Anand Nayyar; Pijush Kanti Dutta Pramanik; Rajni Mohana (Scalable Comput. Pract. Exp., 2020)

A Personalised Recommendation Framework for Ubiquitous Learning System. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Anand Nayyar; Prasenjit Choudhury (ICIIT, 2021)

Deep Learning Based Resource Availability Prediction for Local Mobile Crowd Computing. - Pijush Kanti Dutta Pramanik; Nilanjan Sinhababu; Kyung-Sup Kwak; Prasenjit Choudhury (IEEE Access, 2021)

Enhanced metadata modelling and extraction methods to acquire contextual pedagogical information from e-learning contents for personalised learning systems. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Multim. Tools Appl., 2021)

Learner question's correctness assessment and a guided correction method: enhancing the user experience in an interactive online learning system. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Aranyak Maity; Prasenjit Choudhury (PeerJ Comput. Sci., 2021)

High throughput resource efficient reconfigurable interleaver for MIMO WLAN application. - Bijoy Kumar Upadhyaya; Pijush Kanti Dutta Pramanik; Salil Kumar Sanyal (PeerJ Comput. Sci., 2021)

A Comparative Analysis of Multi-Criteria Decision-Making Methods for Resource Selection in Mobile Crowd Computing. - Pijush Kanti Dutta Pramanik; Sanjib Biswas; Saurabh Pal 001; Dragan Marinkovic; Prasenjit Choudhury (Symmetry, 2021)

Mitigating sparsity using Bhattacharyya Coefficient and items' categorical attributes: improving the performance of collaborative filtering based recommendation systems. - Pradeep Kumar Singh 003; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Appl. Intell., 2022)

An Improved Ensemble Learning Approach for Heart Disease Prediction Using Boosting Algorithms. - Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik; Majid Bashir Malik; Anand Nayyar; Kyung Sup Kwak (Comput. Syst. Sci. Eng., 2023)

Multicriteria-based Resource-Aware Scheduling in Mobile Crowd Computing: A Heuristic Approach. - Pijush Kanti Dutta Pramanik; Tarun Biswas; Prasenjit Choudhury (J. Grid Comput., 2023)

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey. - Mehdi Gheisari; Fereshteh Ebrahimzadeh; Mohamadtaghi Rahimi; Mahdieh Moazzamigodarzi; Yang Liu 039; Pijush Kanti Dutta Pramanik; Mohammad Ali Heravi; Abolfazl Mehbodniya; Mustafa Ghaderzadeh; Mohammad Reza Feylizadeh; Saeed Kosari (CAAI Trans. Intell. Technol., 2023)

Mapping Learner's Query to Learning Objects using Topic Modeling and Machine Learning Techniques. - Souvik Sengupta 001; Saurabh Pal 001; Pijush Kanti Dutta Pramanik (Scalable Comput. Pract. Exp., 2023)

Deep Transfer Learning for Kidney Disease Detection Using CT Scan Images. - Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik; Zhongming Zhao (BIBM, 2024)

Energy-efficiency Analysis of Different Scheduling Algorithms for Mobile Crowd Computing. - Pijush Kanti Dutta Pramanik; Tarun Biswas (ICCCNT, 2024)

Mobile crowd computing: potential, architecture, requirements, challenges, and applications. - Pijush Kanti Dutta Pramanik; Saurabh Pal 001; Prasenjit Choudhury (J. Supercomput., 2024)

Detecting Unknown Shilling Attacks in Recommendation Systems. - Pradeep Kumar Singh 003; Pijush Kanti Dutta Pramanik; Nilanjan Sinhababu; Prasenjit Choudhury (Wirel. Pers. Commun., 2024)

Sustainable edge computing with mobile crowd computing: a proof-of-concept with a smart HVAC use case. - Pijush Kanti Dutta Pramanik; Saurabh Pal 001; Moutan Mukhopadhyay; Prasenjit Choudhury (J. Supercomput., 2024)

VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. - Anindita Saha; Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik; Rakesh Kumar Yadav; Saurav Mallik; Zhongming Zhao (BMC Medical Imaging, 2024)

Correction: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. - Anindita Saha; Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik; Rakesh Kumar Yadav; Saurav Mallik; Zhongming Zhao (BMC Medical Imaging, 2024)

Improved liver disease prediction from clinical data through an evaluation of ensemble learning approaches. - Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik; Zhongming Zhao (BMC Medical Informatics Decis. Mak., 2024)

Correction to: Sustainable edge computing with mobile crowd computing: a proof-of-concept with a smart HVAC use case. - Pijush Kanti Dutta Pramanik; Saurabh Pal 001; Moutan Mukhopadhyay; Prasenjit Choudhury (J. Supercomput., 2024)

Interpretable lung cancer risk prediction using ensemble learning and XAI based on lifestyle and demographic data. - Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik (Comput. Biol. Chem., 2025)

Particle swarm optimization-based load balance-aware energy-efficient scheduling for mobile crowd computing. - Pijush Kanti Dutta Pramanik; Tarun Biswas; Prasenjit Choudhury (Simul., 2025)

Detecting toxic comments on social media: an extensive evaluation of machine learning techniques. - Dharil Patel; Pijush Kanti Dutta Pramanik; Chaitanya Suryawanshi; Preksha Pareek (J. Comput. Soc. Sci., 2025)

Aggregated Relative Similarity (ARS): a novel similarity measure for improved personalised learning recommendation using hybrid filtering approach. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Multim. Tools Appl., 2025)

Learner's intention analysis to mitigate the cold start problem in personalized learning recommendation systems. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Multim. Tools Appl., 2025)

Correction to: Learner's intention analysis to mitigate the cold start problem in personalized learning recommendation systems. - Saurabh Pal 001; Pijush Kanti Dutta Pramanik; Prasenjit Choudhury (Multim. Tools Appl., 2025)