Saydul Akbar Murad

According to our database, Saydul Akbar Murad authored at least 34 papers between 2020 and 2026.

Collaborative distances:

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

2026

Multilingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis.

Saydul Akbar Murad, Ashim Dahal, Nick Rahimi

IEEE Trans. Comput. Soc. Syst., April, 2026

Multi-Head Attention based interaction-aware architecture for Bangla Handwritten Character Recognition: Introducing a Primary Dataset.

Mirza Raquib, Asif Pervez Polok, Kedar Nath Biswas, Farida Siddiqi Prity, Saydul Akbar Murad, Nick Rahimi

CoRR, April, 2026

A Depth-Aware Comparative Study of Euclidean and Hyperbolic Graph Neural Networks on Bitcoin Transaction Systems.

Ankit Ghimire, Saydul Akbar Murad, Nick Rahimi

CoRR, March, 2026

A Fusion of context-aware based BanglaBERT and Two-Layer Stacked LSTM Framework for Multi-Label Cyberbullying Detection.

Mirza Raquib, Asif Pervez Polok, Kedar Nath Biswas, Rahat Uddin Azad, Saydul Akbar Murad, Nick Rahimi

CoRR, February, 2026

Robust and Real-Time Bangladeshi Currency Recognition: A Dual-Stream MobileNet and EfficientNet Approach.

Subreena, Mohammad Amzad Hossain, Mirza Raquib, Saydul Akbar Murad, Farida Siddiqi Prity, Muhammad Hanif, Nick Rahimi

CoRR, February, 2026

Performance Analysis of Shallow Convolutional Neural Network-Based Hybrid Model for Image Classification.

Arman Ahmed Shawon, Fatema Jannat Dihan, Yu Qiao, Md. Bipul Hossain, Saydul Akbar Murad, Mahadi Hasan, Luyao Zou, Monishanker Halder, Avi Deb Raha, Mrityunjoy Gain, Apurba Adhikary

SN Comput. Sci., January, 2026

Gamma2Patterns: Deep Cognitive Attention Region Identification and Gamma-Alpha Pattern Analysis.

Sobhana Jahan, Saydul Akbar Murad, Nick Rahimi, Noorbakhsh Amiri Golilarz

CoRR, January, 2026

2025

A Unified BERT-CNN-BiLSTM Framework for Simultaneous Headline Classification and Sentiment Analysis of Bangla News.

Mirza Raquib, Munazer Montasir Akash, Tawhid Ahmed, Saydul Akbar Murad, Farida Siddiqi Prity, Mohammad Amzad Hossain, Asif Pervez Polok, Nick Rahimi

CoRR, November, 2025

PSO-XAI: A PSO-Enhanced Explainable AI Framework for Reliable Breast Cancer Detection.

Mirza Raquib, Niloy Das, Farida Siddiqi Prity, Arafath Al Fahim, Saydul Akbar Murad, Mohammad Amzad Hossain, MD Jiabul Hoque, Mohammad Ali Moni

CoRR, October, 2025

POVQA: Preference-Optimized Video Question Answering with Rationales for Data Efficiency.

Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad, Nick Rahimi

CoRR, October, 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, July, 2025

Redemption Score: An Evaluation Framework to Rank Image Captions While Redeeming Image Semantics and Language Pragmatics.

Ashim Dahal, Ankit Ghimire, Saydul Akbar Murad, Nick Rahimi

CoRR, May, 2025

EEG-to-Text Translation: A Model for Deciphering Human Brain Activity.

Saydul Akbar Murad, Ashim Dahal, Nick Rahimi

CoRR, May, 2025

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

Saydul Akbar Murad, Nick Rahimi

IEEE Trans. Cogn. Dev. Syst., February, 2025

Multi-Lingual Cyber Threat Detection in Tweets/X Using ML, DL, and LLM: A Comparative Analysis.

Saydul Akbar Murad, Ashim Dahal, Nick Rahimi

CoRR, February, 2025

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification.

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

CoRR, January, 2025

Embedding Shift Dissection on CLIP: Effects of Augmentations on VLM's Representation Learning.

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

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

Heuristical Comparison of Vision Transformers Against Convolutional Neural Networks for Semantic Segmentation on Remote Sensing Imagery.

Ashim Dahal, Saydul Akbar Murad, Nick Rahimi

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

Modeling and Predictive Analytics of Breast Cancer Using Ensemble Learning Techniques: An Explainable Artificial Intelligence Approach.

Avi Deb Raha, Mrityunjoy Gain, Md. Mehedi Hassan, Anupam Kumar Bairagi, Fatema Jannat Dihan, Apurba Adhikary, Md. Bipul Hossain, Saydul Akbar Murad, Taher Al-Shehari, Mohammed Kadrie, Nasser A. Alsadhan

Comput. Mater. Continua, 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

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

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