Md. Ehsanul Haque

According to our database, Md. Ehsanul Haque authored at least 10 papers between 2025 and 2026.

Collaborative distances:

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

2026

A Lightweight and Explainable DenseNet-121 Framework for Grape Leaf Disease Classification.

Md. Ehsanul Haque, Md. Saymon Hosen Polash, Rakib Hasan Ovi, Aminul Kader Bulbul, Md Kamrul Siam, Tamim Hasan Saykat

CoRR, February, 2026

2025

SpectraNet: a lightweight hybrid time-frequency deep learning framework for sustainable cloud workload forecasting.

Nahin F. Siddiqui, Zarif Safwan Hoque, Md. Ehsanul Haque, Abu Raihan Mostofa Kamal, A. K. M. Azad, Salem A. Alyami, Md Azam Hossain

J. Cloud Comput., December, 2025

MobileDenseAttn:A Dual-Stream Architecture for Accurate and Interpretable Brain Tumor Detection.

Shudipta Banik, Muna Das, Trapa Banik, Md. Ehsanul Haque

CoRR, August, 2025

A Modified VGG19-Based Framework for Accurate and Interpretable Real-Time Bone Fracture Detection.

Md. Ehsanul Haque, Abrar Fahim, Shamik Dey, Syoda Anamika Jahan, S. M. Jahidul Islam, Sakib Rokoni, Md. Sakib Morshed

CoRR, August, 2025

StackLiverNet: A Novel Stacked Ensemble Model for Accurate and Interpretable Liver Disease Detection.

Md. Ehsanul Haque, S. M. Jahidul Islam, Shakil Mia, Rumana Sharmin, Ashikuzzaman, Md Samir Morshed, Md. Tahmidul Huque

CoRR, August, 2025

Optimizing DDoS Detection in SDNs Through Machine Learning Models.

Md. Ehsanul Haque, Amran Hossain, Md. Shafiqul Alam, Ahsan Habib Siam, Sayed Md Fazle Rabbi, Md. Muntasir Rahman

CoRR, May, 2025

Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data.

Md. Ehsanul Haque, Md. Saymon Hosen Polash, Md Al-Imran Sanjida Simla, Md Alomgir Hossain, Sarwar Jahan

CoRR, May, 2025

Improving Chronic Kidney Disease Detection Efficiency: Fine Tuned CatBoost and Nature-Inspired Algorithms with Explainable AI.

Md. Ehsanul Haque, S. M. Jahidul Islam, Jeba Maliha, Md. Shakhauat Hossan Sumon, Rumana Sharmin, Sakib Rokoni

CoRR, April, 2025

LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification.

Md. Ehsanul Haque, Fahmid Al Farid, Md Kamrul Siam, Md. Nurul Absur, Jia Uddin, Hezerul Abdul Karim

Frontiers Artif. Intell., 2025

A novel interpretable and real-time dengue prediction framework using clinical blood parameters with genetic and GAN-based optimization.

Md. Ehsanul Haque, Md. Nurul Absur, Fahmid Al Farid, Jia Uddin, Hezerul Abdul Karim

Frontiers Artif. Intell., 2025