Allocating resources in cloud computing when users have strict preferences. - Anjan Bandyopadhyay; Sajal Mukhopadhyay; Uttam Ganguly (ICACCI, 2016)

On free of cost service distribution in cloud computing. - Anjan Bandyopadhyay; Sajal Mukhopadhyay; Uttam Ganguly (ICACCI, 2017)

An Auction Framework for DaaS in Cloud Computing. - Anjan Bandyopadhyay; Fatos Xhafa; Sajal Mukhopadhyay (EIDWT, 2018)

A Framework for Allocation of IoT Devices to the Fog Service Providers in Strategic Setting. - Anjan Bandyopadhyay; Fatos Xhafa; Saurav Mallik; Paul Krause; Sajal Mukhopadhyay; Vikash Kumar Singh; Ujjwal Maulik (3PGCIC, 2019)

An auction framework for DaaS in cloud computing and its evaluation. - Anjan Bandyopadhyay; Fatos Xhafa; Sajal Mukhopadhyay; Vikash Kumar Singh; Aniruddh Sharma (Int. J. Web Grid Serv., 2019)

Matching IoT Devices to the Fog Service Providers: A Mechanism Design Perspective. - Anjan Bandyopadhyay; Vikash Kumar Singh; Sajal Mukhopadhyay; Ujjwal Rai; Fatos Xhafa; Paul Krause (Sensors, 2020)

An Efficient Framework for Resource Allocation and Dynamic Pricing Scheme for Completion Time Failure in Cloud Computing. - Anjan Bandyopadhyay; Vikash Kumar Singh; Sajal Mukhopadhyay; Ujjwal Rai; Arghya Bandyopadhyay (NBiS, 2021)

A Dual Function Reconfigurable Bandpass Filter for Wideband and Tri-Band Operations. - Anjan Bandyopadhyay; Pankaj Sarkar; Tapas Mondal; Rowdra Ghatak (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Transformer Based Technique for High Resolution Image Restoration. - Debajyoty Banik; Sangsaptak Pal; M. Nazma B. Naskar; Anjan Bandyopadhyay (OCIT, 2022)

A Novel Ensemble Methodology to Validate Fuzzy Clusters of Big Data. - Tanvir Habib Sardar; Rashel Sarkar; Sheik Jamil Ahmed; Anjan Bandyopadhyay (TCCE, 2022)

Quantum-Inspired Neural Network on Handwriting Datasets. - Manik Ratna Shah; Jay Sarraf; Prasant Kumar Pattnaik 001; Anjan Bandyopadhyay (TCCE, 2022)

A Bandwidth Reconfigurable Bandpass Filter for Ultrawideband and Wideband Applications. - Anjan Bandyopadhyay; Pankaj Sarkar; Rowdra Ghatak (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Stock market prediction under a deep learning approach using Variational Autoencoder, and kernel extreme learning machine. - Hemant; Ajaya Kumar Parida; Rina Kumari; Aru Ranjan Singh; Anjan Bandyopadhyay; Sujata Swain (OCIT, 2023)

Multilingual Hate Speech and Offensive Language Detection. - Sapthak Mohajon Turjya; Rina Kumari; Sujata Swain; Anjan Bandyopadhyay (OCIT, 2023)

Excavating Multimodal Correlation for Movie Recommendation System. - Uma Sankar Pati; Sujata Swain; Rina Kumari; Vagisha Mishra; Anjan Bandyopadhyay (ICCCNT, 2023)

Development of Two Dimension (2D) Game Engine with Finite State Machine (FSM) Based Artificial Intelligence (AI) Subsystem. - Emmanuel Abidemi Adeniyi; Biswajit Brahma; Marion Olubunmi Adebiyi; Joseph Bamidele Awotunde; Rasheed Gbenga Jimoh; Enoch Olasinde; Anjan Bandyopadhyay (ICMLDE, 2023)

Real-time Face-based Gender Identification System Using Pelican Support Vector Machine. - Olufemi Samuel Ojo; Mayowa Oyedepo Oyediran; Olufemi O. Awodoye; Sunday Adeola Ajagbe; Joseph Bamidele Awotunde; Anjan Bandyopadhyay; Matthew O. Adigun (ICMLDE, 2023)

A Fair Multi-Partner Profit Allocation for Islanded Micro-grid. - Ismaheel O. Oladejo; Komla A. Folly; Biswajit Brahma; Sunday Adeola Ajagbe; Anjan Bandyopadhyay; Joseph Bamidele Awotunde (ICMLDE, 2023)

Image Compression Scheme based on Optimized K-means Clustering and Higher-Level Decomposed DWT. - Raj Kumar Paul; Satyabrata Jena; Saravanan Chandran; Anjan Bandyopadhyay; Sujata Swain (ICMLDE, 2023)

PDD-ET: Parkinson's Disease Detection Using ML Ensemble Techniques and Customized Big Dataset. - Kalyan Chatterjee; Ramagiri Praveen Kumar; Anjan Bandyopadhyay; Sujata Swain; Saurav Mallik; Aimin Li; Kanad Ray (Inf., 2023)

A Novel Drone-Station Matching model in Smart Cities based on Strict Preferences. - Debolina Nath; Anjan Bandyopadhyay; Ankit Rana; Tarek Gaber; Aboul Ella Hassanien (Unmanned Syst., 2023)

Multilingual Code-Mixed Sentiment Analysis in Hate Speech. - Tulika Ranjan; Anish Singh; Rina Kumari; Sujata Swain; Anjan Bandyopadhyay; Ajaya Kumar Parida (Scalable Comput. Pract. Exp., 2023)

Comparative Analysis of Combinatorial Auction Mechanism and Fixed Price Mechanism in the Trading of Electronic Products in the Metaverse. - Aryan Kashyap; Basundhara Das; Vishal Pradhan; Sujata Swain; Arup Sarkar; Anjan Bandyopadhyay (ICCCNT, 2024)

Machine Learning Enhancements for Car Insurance Claim Prediction. - Deepratim Saikia; Rion Barua; Mahendra Kumar Gourisaria; Anjan Bandyopadhyay; Soumya Ranjan Mishra; Saurabh Bilgaiyan (ICCCNT, 2024)

Green Edge Computing Sustainability using Game Theoretic Approach. - Sujata Swain; Krishna Chakravarty; Ajay Kumar Jena; Jayanti Dansana; Mahendra Kumar Gourisaria; Anjan Bandyopadhyay (ICCCNT, 2024)

Smart Education Resource Management System: A Federated Game Theoretic Approach on Metaverse with Strict Preferences. - Sapthak Mohajon Turjya; Raj Singh; Pritam Sarkar; Sujata Swain; Anjan Bandyopadhyay (ICCCNT, 2024)

Game-Theoretic Resource Allocation and Dynamic Pricing Mechanism in Fog Computing. - Anjan Bandyopadhyay; Sujata Swain; Raj Singh; Pritam Sarkar; Siddhartha Bhattacharyya; Leo Mrsic (IEEE Access, 2024)

EdgeMatch: A Smart Approach for Scheduling IoT-Edge Tasks With Multiple Criteria Using Game Theory. - Anjan Bandyopadhyay; Vagisha Mishra; Sujata Swain; Kalyan Chatterjee; Sweta Dey; Saurav Mallik; Amal Al-Rasheed; Mohamed Abbas; Ben Othman Soufiene (IEEE Access, 2024)

Future Air Quality Prediction Using Long Short-Term Memory Based on Hyper Heuristic Multi-Chain Model. - Kalyan Chatterjee; Samla Suraj Kumar; Ramagiri Praveen Kumar; Anjan Bandyopadhyay; Sujata Swain; Saurav Mallik; Amal Al-Rasheed; Mohamed Abbas; Ben Othman Soufiene (IEEE Access, 2024)

Apict:Air Pollution Epidemiology Using Green AQI Prediction During Winter Seasons in India. - Sweta Dey; Kalyan Chatterjee; Ramagiri Praveen Kumar; Anjan Bandyopadhyay; Sujata Swain; Neeraj Kumar 001 (IEEE Trans. Sustain. Comput., 2024)

HaCk: Hand Gesture Classification Using a Convolutional Neural Network and Generative Adversarial Network-Based Data Generation Model. - Kalyan Chatterjee; Muntha Raju; N. Selvamuthukumaran; M. Pramod; B. Krishna Kumar; Anjan Bandyopadhyay; Saurav Mallik (Inf., 2024)

Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing. - Pritam Chakraborty; Anjan Bandyopadhyay; Preeti Padma Sahu; Aniket Burman; Saurav Mallik; Najah Alsubaie; Mohamed Abbas; Mohammed S. Alqahtani; Ben Othman Soufiene (BMC Bioinform., 2024)

IoT-Based Service Allocation in Edge Computing Using Game Theory. - Kushagra Agrawal; Polat Goktas; Biswajit Sahoo; Sujata Swain; Anjan Bandyopadhyay (ICDCIT, 2025)

IndiRTS: Real Time Segmentation for Autonomous Vehicles for Indian Conditions. - Pritam Chakraborty; Anjan Bandyopadhyay; Rimo Ghosh; Ritobrata Sarkar (SN Comput. Sci., 2025)