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2020 – today
- 2024
[j36]Avi Deb Raha
, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism. IEEE Access 12: 51942-51965 (2024)- [j35]Anindya Nag, Hirak Mondal, Md. Mehedi Hassan, Taher Al-Shehari, Mohammed Kadrie, Muna Al-Razgan, Taha Alfakih, Sujit Biswas, Anupam Kumar Bairagi:
TumorGANet: A Transfer Learning and Generative Adversarial Network- Based Data Augmentation Model for Brain Tumor Classification. IEEE Access 12: 103060-103081 (2024) - [j34]Avi Deb Raha, Mrityunjoy Gain, Rameswar Debnath, Apurba Adhikary, Yu Qiao, Md. Mehedi Hassan, Anupam Kumar Bairagi, Sheikh Mohammed Shariful Islam:
Corrections to "Attention to Monkeypox: An Interpretable Monkeypox Detection Technique Using Attention Mechanism". IEEE Access 12: 118937 (2024) - [j33]M. Raihan, Anjan Debnath, Prokash Chondra Adhikary, Mehedi Masud, Hossam Meshref, Anupam Kumar Bairagi:
Bridging Technology and Psychology: AI-Driven Analysis of Student's Class Lecture Activity for Improved Learning Outcomes. IEEE Access 12: 147320-147349 (2024) - [j32]Divya Sharma, Chander Prabha, Md. Mehedi Hassan, Shahab A. Abdulla, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai:
Securing X-Ray Images Into Cover Images Using Hybrid EBS Steganography With Five-Layer Cryptography. IEEE Access 12: 165050-165067 (2024) - [j31]Md. Mehedi Hassan, Sadika Zaman, Md. Mushfiqur Rahman, Anupam Kumar Bairagi, Walid El-Shafai, Rajkumar Singh Rathore, Deepak Gupta:
Efficient prediction of coronary artery disease using machine learning algorithms with feature selection techniques. Comput. Electr. Eng. 115: 109130 (2024) - [j30]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:
SG-PBFS: Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment. Future Gener. Comput. Syst. 150: 232-242 (2024) - [j29]Sajib Chatterjee, Rameswar Debnath, Sujit Biswas, Anupam Kumar Bairagi:
Prediction of RNA Secondary Structure Using Butterfly Optimization Algorithm. Hum. Centric Intell. Syst. 4(2): 220-240 (2024) - [j28]Moupriya Das, Anindya Nag, Md. Mehedi Hassan, Arkya Santra, Nisarga Chand, Farhana Yasmin, Anurag Sinha, Anupam Kumar Bairagi, Ahmed Alkhayyat:
Synergy of 6G technology and IoT networks for transformative applications. Int. J. Commun. Syst. 37(14) (2024) - [j27]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:
Priority based job scheduling technique that utilizes gaps to increase the efficiency of job distribution in cloud computing. Sustain. Comput. Informatics Syst. 41: 100942 (2024) - [c15]Fatema Tuz Zohora, Sujit Biswas, Anupam Kumar Bairagi, Kashif Sharit:
Nature-based Bengali Picture Captioning using Global Attention with GRU. MLSP 2024: 1-6 - [c14]Md. Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha, Prakash Bhat, Anupam Kumar Bairagi, Mohammad Shamsul Arefin:
Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM. NLDB (2) 2024: 56-67 - [i9]Md. Kowsher, Ritesh Panditi, Nusrat Jahan Prottasha, Prakash Bhat, Anupam Kumar Bairagi, Mohammad Shamsul Arefin:
Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM. CoRR abs/2404.02402 (2024) - [i8]Niloy Sikder, Md. Al-Masrur Khan, Anupam Kumar Bairagi, Mehedi Masud, Jun-Jiat Tiang, Abdullah Al Nahid:
Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images (Preprint). CoRR abs/2405.15563 (2024) - [i7]Fatema Jannat Dihan, Saydul Akbar Murad, Abu Jafar Md Muzahid, K. M. Aslam Uddin, Mohammed J. F. Alenazi, Anupam Kumar Bairagi, Sujit Biswas:
MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models. CoRR abs/2405.21016 (2024) - 2023
- [j26]Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Anupam Kumar Bairagi, Walid El-Shafai, Hassan Fouad, Yang Chang Chun:
GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach. IEEE Access 11: 97605-97624 (2023) - [j25]Pallab Banerjee, Sharmistha Roy, Anurag Sinha, Md. Mehedi Hassan, Shrikant Burje, Anupam Agrawal, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai:
MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction. IEEE Access 11: 105578-105618 (2023) - [j24]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:
Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness. IEEE Access 11: 132196-132222 (2023) - [j23]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:
Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm. IEEE Access 11: 146003-146013 (2023) - [j22]Mrityunjoy Gain, Md. Arifur Rahman, Rameswar Debnath, Mrim M. Alnfiai, Abdullah Sheikh, Mehedi Masud, Anupam Kumar Bairagi:
An Improved Encoder-Decoder CNN with Region-Based Filtering for Vibrant Colorization. Comput. Syst. Sci. Eng. 46(1): 1059-1077 (2023) - [j21]Md. Mehedi Hassan, Md. Mahedi Hassan, Swarnali Mollick, Md. Asif Rakib Khan, Farhana Yasmin, Anupam Kumar Bairagi, M. Raihan, Shibbir Ahmed Arif, Amrina Rahman:
A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. Hum. Centric Intell. Syst. 3(2): 92-104 (2023) - [j20]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:
An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms. Hum. Centric Intell. Syst. 3(3): 211-231 (2023) - [j19]Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Jarif Huda Angon, Anupam Kumar Bairagi, Changchun Yang:
AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis. Hum. Centric Intell. Syst. 3(3): 275-295 (2023) - [j18]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:
Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection. Hum. Centric Intell. Syst. 3(4): 441-460 (2023) - [j17]Nusrat Jahan Prottasha, Saydul Akbar Murad, Abu Jafar Md Muzahid, Masud Rana, Md. Kowsher, Apurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi:
Impact learning: A learning method from feature's impact and competition. J. Comput. Sci. 69: 102011 (2023) - [j16]Anjan Debnath, Md. Mahedi Hasan, M. Raihan, Nadim Samrat, Mashael M. Alsulami, Mehedi Masud, Anupam Kumar Bairagi:
A Smartphone-Based Detection System for Tomato Leaf Disease Using EfficientNetV2B2 and Its Explainability with Artificial Intelligence (AI). Sensors 23(21): 8685 (2023) - [c13]Saydul Akbar Murad, Zafril Rizal M. Azmi, Faria Jerin Brishti, Md Saib, Anupam Kumar Bairagi:
Priority Based Fair Scheduling: Enhancing Efficiency in Cloud Job Distribution. ICSECS 2023: 170-175 - [i6]Suranjeet Chowdhury Avik, Sujit Biswas, Md Atiqur Rahaman Ahad, Zohaib Latif, Abdullah Alghamdi, Hamad Ali Abosaq, Anupam Kumar Bairagi:
Challenges in Blockchain as a Solution for IoT Ecosystem Threats and Access Control: A Survey. CoRR abs/2311.15290 (2023) - 2022
- [j15]Nusrat Jahan Prottasha, Abdullah As Sami, Md. Kowsher, Saydul Akbar Murad, Anupam Kumar Bairagi, Mehedi Masud, Mohammed Baz:
Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning. Sensors 22(11): 4157 (2022) - [c12]M. Raihan, Nasif Alvi, Anupam Kumar Bairagi:
Social Behavior Prediction using Ensemble Learning Algorithms. ICCCNT 2022: 1-5 - [i5]Nusrat Jahan Prottasha, Saydul Akbar Murad, Abu Jafar Md Muzahid, Masud Rana, Md. Kowsher, Apurba Adhikary, Sujit Biswas, Anupam Kumar Bairagi:
Impact Learning: A Learning Method from Features Impact and Competition. CoRR abs/2211.02263 (2022) - 2021
- [j14]Md. Abdul Awal, Mehedi Masud, Md. Shahadat Hossain, Abdullah Al-Mamun Bulbul, S. M. Hasan Mahmud, Anupam Kumar Bairagi:
A Novel Bayesian Optimization-Based Machine Learning Framework for COVID-19 Detection From Inpatient Facility Data. IEEE Access 9: 10263-10281 (2021) - [j13]Sujit Biswas, Kashif Sharif, Fan Li, Anupam Kumar Bairagi, Zohaib Latif, Saraju P. Mohanty:
GlobeChain: An Interoperable Blockchain for Global Sharing of Healthcare Data - A COVID-19 Perspective. IEEE Consumer Electron. Mag. 10(5): 64-69 (2021) - [j12]Mehedi Masud, Niloy Sikder, Abdullah Al Nahid, Anupam Kumar Bairagi, Mohammed A. Alzain:
A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework. Sensors 21(3): 748 (2021) - [j11]Niloy Sikder, Mehedi Masud, Anupam Kumar Bairagi, Abu Shamim Mohammad Arif, Abdullah Al Nahid, Hesham Alhumyani:
Severity Classification of Diabetic Retinopathy Using an Ensemble Learning Algorithm through Analyzing Retinal Images. Symmetry 13(4): 670 (2021) - [j10]Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi, Nguyen Hoang Tran, Sultan S. Alshamrani, Mehedi Masud, Zhu Han, Choong Seon Hong:
Coexistence Mechanism Between eMBB and uRLLC in 5G Wireless Networks. IEEE Trans. Commun. 69(3): 1736-1749 (2021) - [j9]Madyan Alsenwi, Nguyen Hoang Tran, Mehdi Bennis, Shashi Raj Pandey, Anupam Kumar Bairagi, Choong Seon Hong:
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach. IEEE Trans. Wirel. Commun. 20(7): 4585-4600 (2021) - [c11]M. Raihan, Anupam Kumar Bairagi, Shagoto Rahman:
A Machine Learning Based Study to Predict Depression with Monitoring Actigraph Watch Data. ICCCNT 2021: 1-5 - [c10]Puspendu Biswas Paul, Sujit Biswas, Anupam Kumar Bairagi, Mehedi Masud:
Data-Driven Decision Making for Smart Cultivation. iSES 2021: 249-254 - [c9]Md. Suman Reza, Sujit Biswas, Abdullah Alghamdi, Mesfer Alrizq, Anupam Kumar Bairagi, Mehedi Masud:
ACC: Blockchain Based Trusted Management of Academic Credentials. iSES 2021: 438-443 - 2020
- [j8]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:
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective. IEEE Access 8: 215570-215581 (2020) - [j7]Abdullah Al Nahid, Niloy Sikder, Anupam Kumar Bairagi, Md. Abdur Razzaque, Mehedi Masud, Abbas Z. Kouzani, M. A. Parvez Mahmud:
A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network. Sensors 20(12): 3482 (2020) - [i4]Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi, Nguyen Hoang Tran, Sultan S. Alshamrani, Mehedi Masud, Zhu Han, Choong Seon Hong:
Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks. CoRR abs/2003.04551 (2020) - [i3]Madyan Alsenwi, Nguyen Hoang Tran, Mehdi Bennis, Shashi Raj Pandey, Anupam Kumar Bairagi, Choong Seon Hong:
Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach. CoRR abs/2003.07651 (2020) - [i2]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:
Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective. CoRR abs/2007.13305 (2020)
2010 – 2019
- 2019
- [j6]Sarder Fakhrul Abedin, Anupam Kumar Bairagi, Md. Shirajum Munir, Nguyen Hoang Tran, Choong Seon Hong:
Fog Load Balancing for Massive Machine Type Communications: A Game and Transport Theoretic Approach. IEEE Access 7: 4204-4218 (2019) - [j5]Madyan Alsenwi, Ibrar Yaqoob, Shashi Raj Pandey, Yan Kyaw Tun, Anupam Kumar Bairagi, Lok-Won Kim, Choong Seon Hong:
Towards Coexistence of Cellular and WiFi Networks in Unlicensed Spectrum: A Neural Networks Based Approach. IEEE Access 7: 110023-110034 (2019) - [j4]Madyan Alsenwi, Nguyen Hoang Tran, Mehdi Bennis, Anupam Kumar Bairagi, Choong Seon Hong:
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach. IEEE Commun. Lett. 23(4): 740-743 (2019) - [j3]Anupam Kumar Bairagi, Nguyen Hoang Tran, Walid Saad, Zhu Han, Choong Seon Hong:
A Game-Theoretic Approach for Fair Coexistence Between LTE-U and Wi-Fi Systems. IEEE Trans. Veh. Technol. 68(1): 442-455 (2019) - [c8]Anupam Kumar Bairagi, Md. Shirajum Munir, Madyan Alsenwi, Nguyen Hoang Tran, Choong Seon Hong:
A matching based coexistence mechanism between eMBB and uRLLC in 5G wireless networks. SAC 2019: 2377-2384 - [i1]Madyan Alsenwi, Nguyen Hoang Tran, Mehdi Bennis, Anupam Kumar Bairagi, Choong Seon Hong:
eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach. CoRR abs/1902.01648 (2019) - 2018
- [j2]Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Nguyen Hoang Tran, Dusit Niyato, Choong Seon Hong:
QoE-Enabled Unlicensed Spectrum Sharing in 5G: A Game-Theoretic Approach. IEEE Access 6: 50538-50554 (2018) - [c7]Anupam Kumar Bairagi, Nguyen Hoang Tran, Choong Seon Hong:
A multi-game approach for effective co-existence in unlicensed spectrum between LTE-U system and Wi-Fi access point. ICOIN 2018: 380-385 - [c6]Anupam Kumar Bairagi, Nguyen Hoang Tran, Walid Saad, Choong Seon Hong:
Bargaining game for effective coexistence between LTE-U and Wi-Fi systems. NOMS 2018: 1-8 - 2017
- [c5]Anupam Kumar Bairagi, Choong Seon Hong:
D2D communications under LTE-U system: QoS and co-existence issues are incorporated. APNOMS 2017: 193-198 - [c4]Ashis Talukder, Md. Golam Rabiul Alam, Anupam Kumar Bairagi, Sarder Fakhrul Abedin, Md. Abu Layek, Hoang T. Nguyen, Choong Seon Hong:
An approach of cost optimized influence maximization in social networks. APNOMS 2017: 354-357 - [c3]Anupam Kumar Bairagi, Nguyen Hoang Tran, Choong Seon Hong:
LTE-U sum-rate maximization considering QoS and co-existence issue. BigComp 2017: 352-357 - 2016
- [j1]Anupam Kumar Bairagi, Rahamatullah Khondoker, Rafiqul Islam:
An efficient steganographic approach for protecting communication in the Internet of Things (IoT) critical infrastructures. Inf. Secur. J. A Glob. Perspect. 25(4-6): 197-212 (2016) - [c2]Anupam Kumar Bairagi, Nguyen Hoang Tran, Namho Kim, Choong Seon Hong:
QoS aware collaborative communications with incentives in the downlink of cellular network: A matching approach. APNOMS 2016: 1-6 - [c1]Anupam Kumar Bairagi, Md. Golam Rabiul Alam, Ashis Talukder, Nguyen Hoang Tran, Daeun Lee, Choong Seon Hong:
An overlapping coalition formation approach to maximize payoffs in cloud computing environment. ICOIN 2016: 324-329
Coauthor Index
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last updated on 2024-12-26 00:51 CET by the dblp team
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