Saydul Akbar Murad

According to our database, Saydul Akbar Murad authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

Secure and Efficient Hierarchical P2P Fog Architecture: A Novel Approach for IoT.

Saydul Akbar Murad, Nick Rahimi

IEEE Internet Things J., May, 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

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

Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text.

Saydul Akbar Murad, Nick Rahimi

CoRR, 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

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

Secure and Scalable Permissioned Blockchain using LDE-P2P Networks.

Saydul Akbar Murad, Nick Rahimi

Proceedings of the 10th International Conference on Internet of Things: Systems, 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

A review on job scheduling technique in cloud computing and priority rule based intelligent framework.

Saydul Akbar Murad, Abu Jafar Md Muzahid, Zafril Rizal M. Azmi, Md Imdadul Hoque, Md. Kowsher

J. King Saud Univ. Comput. Inf. Sci., 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

Edge Assisted Crime Prediction and Evaluation Framework for Machine Learning Algorithms.

Apurba Adhikary, Saydul Akbar Murad, Md. Shirajum Munir, Choong Seon Hong

Proceedings of the International Conference on Information Networking, 2022

2020

Impact-Learning: A Robust Machine Learning Algorithm.

Md. Kowsher, Anik Tahabilder, Saydul Akbar Murad

Proceedings of the ICCCM 2020: 8th International Conference on Computer and Communications Management, 2020