Anupam Kumar Bairagi

According to our database, Anupam Kumar Bairagi authored at least 55 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Prediction of RNA Secondary Structure Using Butterfly Optimization Algorithm.

Sajib Chatterjee, Rameswar Debnath, Sujit Biswas, Anupam Kumar Bairagi

Hum. Centric Intell. Syst., June, 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., January, 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., January, 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

Int. J. Commun. Syst., 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

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

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

Comput. Electr. Eng., 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

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

Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism".

Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam

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, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam

IEEE Access, 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

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

Proceedings of the Natural Language Processing and Information Systems, 2024

Nature-based Bengali Picture Captioning using Global Attention with GRU.

Fatema Tuz Zohora, Sujit Biswas, Anupam Kumar Bairagi, Kashif Sharit

Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

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., December, 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, October, 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., September, 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., September, 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., May, 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., February, 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

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

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

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

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

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

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

Proceedings of the 8th IEEE International Conference On Software Engineering and Computer Systems, 2023

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

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

Social Behavior Prediction using Ensemble Learning Algorithms.

M. Raihan, Nasif Alvi, Anupam Kumar Bairagi

Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

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

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, Choong Seon Hong

IEEE Trans. Commun., 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

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

GlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data - A COVID-19 Perspective.

Sujit Biswas, Kashif Sharif, Fan Li, Anupam Kumar Bairagi, Zohaib Latif, Saraju P. Mohanty

IEEE Consumer Electron. Mag., 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

ACC: Blockchain Based Trusted Management of Academic Credentials.

Md. Suman Reza, Sujit Biswas, Abdullah Alghamdi, Mesfer Alrizq, Anupam Kumar Bairagi, Mehedi Masud

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021

Data-Driven Decision Making for Smart Cultivation.

Puspendu Biswas Paul, Sujit Biswas, Anupam Kumar Bairagi, Mehedi Masud

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2021

A Machine Learning Based Study to Predict Depression with Monitoring Actigraph Watch Data.

M. Raihan, Anupam Kumar Bairagi, Shagoto Rahman

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

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

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, Choong Seon Hong

IEEE Access, 2020

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, Choong Seon Hong

IEEE Trans. Veh. Technol., 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

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

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

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

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

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

Bargaining game for effective coexistence between LTE-U and Wi-Fi systems.

Anupam Kumar Bairagi, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong

Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

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

Proceedings of the 2018 International Conference on Information Networking, 2018

2017

LTE-U sum-rate maximization considering QoS and co-existence issue.

Anupam Kumar Bairagi, Nguyen Hoang Tran, Choong Seon Hong

Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 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

Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017

D2D communications under LTE-U system: QoS and co-existence issues are incorporated.

Anupam Kumar Bairagi, Choong Seon Hong

Proceedings of the 19th Asia-Pacific Network Operations and Management Symposium, 2017

2016

An efficient steganographic approach for protecting communication in the Internet of Things (IoT) critical infrastructures.

Anupam Kumar Bairagi, Rahamatullah Khondoker, Rafiqul Islam

Inf. Secur. J. A Glob. Perspect., 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

Proceedings of the 2016 International Conference on Information Networking, 2016

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

Proceedings of the 18th Asia-Pacific Network Operations and Management Symposium, 2016