QoS aware collaborative communications with incentives in the downlink of cellular network: A matching approach. - Anupam Kumar Bairagi; Nguyen Hoang Tran; Namho Kim; Choong Seon Hong (APNOMS, 2016)

An overlapping coalition formation approach to maximize payoffs in cloud computing environment. - Anupam Kumar Bairagi; Md. Golam Rabiul Alam; Ashis Talukder; Nguyen Hoang Tran; Daeun Lee; Choong Seon Hong (ICOIN, 2016)

An efficient steganographic approach for protecting communication in the Internet of Things (IoT) critical infrastructures. - Anupam Kumar Bairagi; Rahamatullah Khondoker; Rafiqul Islam 002 (Inf. Secur. J. A Glob. Perspect., 2016)

D2D communications under LTE-U system: QoS and co-existence issues are incorporated. - Anupam Kumar Bairagi; Choong Seon Hong (APNOMS, 2017)

An approach of cost optimized influence maximization in social networks. - Ashis Talukder; Md. Golam Rabiul Alam; Anupam Kumar Bairagi; Sarder Fakhrul Abedin; Md. Abu Layek; Hoang T. Nguyen; Choong Seon Hong (APNOMS, 2017)

LTE-U sum-rate maximization considering QoS and co-existence issue. - Anupam Kumar Bairagi; Nguyen Hoang Tran; Choong Seon Hong (BigComp, 2017)

A multi-game approach for effective co-existence in unlicensed spectrum between LTE-U system and Wi-Fi access point. - Anupam Kumar Bairagi; Nguyen Hoang Tran; Choong Seon Hong (ICOIN, 2018)

Bargaining game for effective coexistence between LTE-U and Wi-Fi systems. - Anupam Kumar Bairagi; Nguyen Hoang Tran; Walid Saad; Choong Seon Hong (NOMS, 2018)

QoE-Enabled Unlicensed Spectrum Sharing in 5G: A Game-Theoretic Approach. - Anupam Kumar Bairagi; Sarder Fakhrul Abedin; Nguyen Hoang Tran; Dusit Niyato; Choong Seon Hong (IEEE Access, 2018)

A matching based coexistence mechanism between eMBB and uRLLC in 5G wireless networks. - Anupam Kumar Bairagi; Md. Shirajum Munir; Madyan Alsenwi; Nguyen Hoang Tran; Choong Seon Hong (SAC, 2019)

Fog Load Balancing for Massive Machine Type Communications: A Game and Transport Theoretic Approach. - Sarder Fakhrul Abedin; Anupam Kumar Bairagi; Md. Shirajum Munir; Nguyen Hoang Tran; Choong Seon Hong (IEEE Access, 2019)

Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach. - Madyan Alsenwi; Ibrar Yaqoob; Shashi Raj Pandey; Yan Kyaw Tun; Anupam Kumar Bairagi; Lok-Won Kim; Choong Seon Hong (IEEE Access, 2019)

eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach. - Madyan Alsenwi; Nguyen Hoang Tran; Mehdi Bennis; Anupam Kumar Bairagi; Choong Seon Hong (IEEE Commun. Lett., 2019)

A Game-Theoretic Approach for Fair Coexistence Between LTE-U and Wi-Fi Systems. - Anupam Kumar Bairagi; Nguyen Hoang Tran; Walid Saad; Zhu Han 001; Choong Seon Hong (IEEE Trans. Veh. Technol., 2019)

Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective. - Anupam Kumar Bairagi; Mehedi Masud; DoHyeon Kim; Md. Shirajum Munir; Abdullah Al Nahid; Sarder Fakhrul Abedin; Kazi Masudul Alam; Sujit Biswas; Sultan S. Alshamrani; Zhu Han 001; Choong Seon Hong (IEEE Access, 2020)

A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network. - Abdullah Al Nahid; Niloy Sikder; Anupam Kumar Bairagi; Md. Abdur Razzaque; Mehedi Masud; Abbas Z. Kouzani; M. A. Parvez Mahmud (Sensors, 2020)

A Machine Learning Based Study to Predict Depression with Monitoring Actigraph Watch Data. - M. Raihan; Anupam Kumar Bairagi; Shagoto Rahman (ICCCNT, 2021)

Data-Driven Decision Making for Smart Cultivation. - Puspendu Biswas Paul; Sujit Biswas; Anupam Kumar Bairagi; Mehedi Masud (iSES, 2021)

ACC: Blockchain Based Trusted Management of Academic Credentials. - Md. Suman Reza; Sujit Biswas; Abdullah Alghamdi; Mesfer Alrizq; Anupam Kumar Bairagi; Mehedi Masud (iSES, 2021)

A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data. - Md. Abdul Awal; Mehedi Masud; Md. Shahadat Hossain; Abdullah Al-Mamun Bulbul; S. M. Hasan Mahmud; Anupam Kumar Bairagi (IEEE Access, 2021)

GlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data - A COVID-19 Perspective. - Sujit Biswas; Kashif Sharif; Fan Li 001; Anupam Kumar Bairagi; Zohaib Latif; Saraju P. Mohanty (IEEE Consumer Electron. Mag., 2021)

A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease. - Mounita Ghosh; Md. Mohsin Sarker Raihan; M. Raihan; Laboni Akter; Anupam Kumar Bairagi; Sultan S. Alshamrani; Mehedi Masud (Intell. Autom. Soft Comput., 2021)

A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework. - Mehedi Masud; Niloy Sikder; Abdullah Al Nahid; Anupam Kumar Bairagi; Mohammed A. Alzain (Sensors, 2021)

Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images. - Niloy Sikder; Mehedi Masud; Anupam Kumar Bairagi; Abu Shamim Mohammad Arif; Abdullah Al Nahid; Hesham Alhumyani (Symmetry, 2021)

Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks. - Anupam Kumar Bairagi; Md. Shirajum Munir; Madyan Alsenwi; Nguyen Hoang Tran; Sultan S. Alshamrani; Mehedi Masud; Zhu Han 001; Choong Seon Hong (IEEE Trans. Commun., 2021)

Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach. - Madyan Alsenwi; Nguyen Hoang Tran; Mehdi Bennis; Shashi Raj Pandey; Anupam Kumar Bairagi; Choong Seon Hong (IEEE Trans. Wirel. Commun., 2021)

Social Behavior Prediction using Ensemble Learning Algorithms. - M. Raihan; Nasif Alvi; Anupam Kumar Bairagi (ICCCNT, 2022)

Impact Learning: A Learning Method from Features Impact and Competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (CoRR, 2022)

AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach. - Saydul Akbar Murad; Apurba Adhikary; Abu Jafar Md Muzahid; Md. Murad Hossain Sarker; Md. Ashikur Rahman Khan; Md. Bipul Hossain; Anupam Kumar Bairagi; Mehedi Masud; Md. Kowsher (Intell. Autom. Soft Comput., 2022)

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning. - Nusrat Jahan Prottasha; Abdullah As Sami; Md. Kowsher; Saydul Akbar Murad; Anupam Kumar Bairagi; Mehedi Masud; Mohammed Baz (Sensors, 2022)

Priority Based Fair Scheduling: Enhancing Efficiency in Cloud Job Distribution. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Faria Jerin Brishti; Md Saib; Anupam Kumar Bairagi (ICSECS, 2023)

MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction. - Pallab Banerjee; Sharmistha Roy; Anurag Sinha; Md. Mehedi Hassan; Shrikant Burje; Anupam Agrawal; Anupam Kumar Bairagi; Samah Alshathri; Walid El-Shafai (IEEE Access, 2023)

Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness. - Md. Mehedi Hassan; Mohammad Abu Tareq Rony; Md. Asif Rakib Khan; Md. Mahedi Hassan; Farhana Yasmin; Anindya Nag; Tazria Helal Zarin; Anupam Kumar Bairagi; Samah Alshathri; Walid El-Shafai (IEEE Access, 2023)

Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm. - Kaushlendra Sharma; Md. Mehedi Hassan; Saroj Kumar Pandey; Mimansha Saini; Rajesh Doriya; Manoj Kumar Ojha; Anurag Sinha; Chetna Kaushal; Anupam Kumar Bairagi; Naglaa F. Soliman (IEEE Access, 2023)

GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach. - Farhana Yasmin; Md. Mehedi Hassan; Mahade Hasan; Sadika Zaman; Anupam Kumar Bairagi; Walid El-Shafai; Hassan Fouad; Yang Chang Chun (IEEE Access, 2023)

Challenges in Blockchain as a Solution for IoT Ecosystem Threats and Access Control: A Survey. - Suranjeet Chowdhury Avik; Sujit Biswas; Md Atiqur Rahaman Ahad; Zohaib Latif; Abdullah Alghamdi; Hamad Ali Abosaq; Anupam Kumar Bairagi (CoRR, 2023)

An Improved Encoder-Decoder CNN with Region-Based Filtering for Vibrant Colorization. - Mrityunjoy Gain; Md. Arifur Rahman; Rameswar Debnath; Mrim M. Alnfiai; Abdullah Sheikh; Mehedi Masud; Anupam Kumar Bairagi (Comput. Syst. Sci. Eng., 2023)

Unmanned Aerial Vehicle Assisted Forest Fire Detection Using Deep Convolutional Neural Network. - A. K. Z. Rasel Rahman; S. M. Nabil Sakif; Niloy Sikder; Mehedi Masud; Hanan Aljuaid; Anupam Kumar Bairagi (Intell. Autom. Soft Comput., 2023)

A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. - Md. Mehedi Hassan; Md. Mahedi Hassan; Swarnali Mollick; Md. Asif Rakib Khan; Farhana Yasmin; Anupam Kumar Bairagi; M. Raihan; Shibbir Ahmed Arif; Amrina Rahman (Hum. Centric Intell. Syst., 2023)

Impact learning: A learning method from feature's impact and competition. - Nusrat Jahan Prottasha; Saydul Akbar Murad; Abu Jafar Md Muzahid; Masud Rana; Md. Kowsher; Apurba Adhikary; Sujit Biswas; Anupam Kumar Bairagi (J. Comput. Sci., 2023)

An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms. - Md. Bipul Hossain; Anika Shama; Apurba Adhikary; Avi Deb Raha; K. M. Aslam Uddin; Mohammad Amzad Hossain; Imtia Islam; Saydul Akbar Murad; Md. Shirajum Munir; Anupam Kumar Bairagi (Hum. Centric Intell. Syst., 2023)

AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis. - Farhana Yasmin; Md. Mehedi Hassan; Mahade Hasan; Sadika Zaman; Jarif Huda Angon; Anupam Kumar Bairagi; Changchun Yang (Hum. Centric Intell. Syst., 2023)

A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI). - Anjan Debnath; Md. Mahedi Hasan; M. Raihan; Nadim Samrat; Mashael M. Alsulami; Mehedi Masud; Anupam Kumar Bairagi (Sensors, 2023)

Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection. - K. M. Aslam Uddin; Farida Siddiqi Prity; Maisha Tasnim; Sumiya Nur Jannat; Mohammad Omar Faruk; Jahirul Islam; Saydul Akbar Murad; Apurba Adhikary; Anupam Kumar Bairagi (Hum. Centric Intell. Syst., 2023)

Diagnosis of Pulmonary Embolism from CT Pulmonary Angiogram by Using Deep Transfer Learning and Sobel Filter. - Md. Azizul Haque; Atanu Shome; Anupam Kumar Bairagi (ICCCNT, 2024)

Nature-based Bengali Picture Captioning using Global Attention with GRU. - Fatema Tuz Zohora; Sujit Biswas; Anupam Kumar Bairagi; Kashif Sharit (MLSP, 2024)

Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM. - Md. Kowsher; Ritesh Panditi; Nusrat Jahan Prottasha; Prakash Bhat; Anupam Kumar Bairagi; Mohammad Shamsul Arefin (NLDB (2), 2024)

TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification. - Anindya Nag; Hirak Mondal; Md. Mehedi Hassan; Taher Al-Shehari; Mohammed Kadrie; Muna Al-Razgan; Taha Alfakih; Sujit Biswas; Anupam Kumar Bairagi (IEEE Access, 2024)

Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". - Avi Deb Raha; Mrityunjoy Gain; Rameswar Debnath; Apurba Adhikary; Yu Qiao 004; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (IEEE Access, 2024)

Bridging Technology and Psychology: AI-Driven Analysis of Student's Class Lecture Activity for Improved Learning Outcomes. - M. Raihan; Anjan Debnath; Prokash Chondra Adhikary; Mehedi Masud; Hossam Meshref; Anupam Kumar Bairagi (IEEE Access, 2024)

Securing X-Ray Images Into Cover Images Using Hybrid EBS Steganography With Five-Layer Cryptography. - Divya Sharma; Chander Prabha; Md. Mehedi Hassan; Shahab A. Abdulla; Anupam Kumar Bairagi; Samah Alshathri; Walid El-Shafai (IEEE Access, 2024)

Efficient prediction of coronary artery disease using machine learning algorithms with feature selection techniques. - Md. Mehedi Hassan; Sadika Zaman; Md. Mushfiqur Rahman; Anupam Kumar Bairagi; Walid El-Shafai; Rajkumar Singh Rathore; Deepak Gupta 002 (Comput. Electr. Eng., 2024)

Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images (Preprint). - Niloy Sikder; Md. Al-Masrur Khan; Anupam Kumar Bairagi; Mehedi Masud; Jun-Jiat Tiang; Abdullah Al Nahid (CoRR, 2024)

MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models. - Fatema Jannat Dihan; Saydul Akbar Murad; Abu Jafar Md Muzahid; K. M. Aslam Uddin; Mohammed J. F. Alenazi; Anupam Kumar Bairagi; Sujit Biswas (CoRR, 2024)

Blockchain controlled trustworthy federated learning platform for smart homes. - Sujit Biswas; Kashif Sharif; Zohaib Latif; Mohammed J. F. Alenazi; Ashok Kumar Pradhan; Anupam Kumar Bairagi (IET Commun., 2024)

Optimising multi-user wireless networks through discrete Fourier transform-based channel estimation with cascaded intelligent reflecting surfaces. - Sakhshra Monga; Nitin Saluja; Chander Prabha; Roopali Garg; Anupam Kumar Bairagi; Md. Mehedi Hassan (IET Wirel. Sens. Syst., 2024)

Synergy of 6G technology and IoT networks for transformative applications. - Moupriya Das; Anindya Nag; Md. Mehedi Hassan; Arkya Santra; Nisarga Chand; Farhana Yasmin; Anurag Sinha; Anupam Kumar Bairagi; Ahmed Alkhayyat 001 (Int. J. Commun. Syst., 2024)

SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Abu Jafar Md Muzahid; MD. Khairul Bashar Bhuiyan; Md Saib; Nick Rahimi; Nusrat Jahan Prottasha; Anupam Kumar Bairagi (Future Gener. Comput. Syst., 2024)

Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing. - Saydul Akbar Murad; Zafril Rizal M. Azmi; Abu Jafar Md Muzahid; Md. Murad Hossain Sarker; M. Saef Ullah Miah; MD. Khairul Bashar Bhuiyan; Nick Rahimi; Anupam Kumar Bairagi (Sustain. Comput. Informatics Syst., 2024)

Prediction of RNA Secondary Structure Using Butterfly Optimization Algorithm. - Sajib Chatterjee; Rameswar Debnath; Sujit Biswas; Anupam Kumar Bairagi (Hum. Centric Intell. Syst., 2024)

Resource-Aware Monkeypox Diagnosis: Leveraging High-Capacity and Lightweight Models with Knowledge Distillation. - Avi Deb Raha; Mrityunjoy Gain; Sudip Kumar Saha; Md Shohanur Rahman; Apurba Adhikary; Rameswar Debnath; Anupam Kumar Bairagi; Sujit Biswas (COMSNETS, 2025)

Smart offloading for IoT application: Building a fog-cloud based context aware offloading framework and exploring potential for integration with blockchain. - Karan Bajaj; Shaily Jain; Raman Singh; Chander Prabha; Md. Mehedi Hassan; Anupam Kumar Bairagi; Sheikh Mohammed Shariful Islam (Comput. Electr. Eng., 2025)

Explainable artificial intelligence for natural language processing: A survey. - Md. Mehedi Hassan; Anindya Nag; Riya Biswas; Md Shahin Ali; Sadika Zaman; Anupam Kumar Bairagi; Chetna Kaushal (Data Knowl. Eng., 2025)

Dynamic Balanced Training Regimes: Elevating model performance through iterative training with imbalanced superset and balanced subset alternation. - Mrityunjoy Gain; Asadov Amirjon; Sumit Kumar Dam; Apurba Adhikary; Anupam Kumar Bairagi; Rameswar Debnath; Avi Deb Raha (Expert Syst. Appl., 2025)

Neural Network-based Study for Rice Leaf Disease Recognition and Classification: A Comparative Analysis Between Feature-based Model and Direct Imaging Model. - Farida Siddiqi Prity; Mirza Raquib; Saydul Akbar Murad; Md. Jubayar Alam Rafi; MD. Khairul Bashar Bhuiyan; Anupam Kumar Bairagi (CoRR, 2025)