Md Nahidul Islam

According to our database, Md Nahidul Islam authored at least 5 papers between 2020 and 2022.

Collaborative distances:

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

2022

Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification.

Md. Shofiqul Islam, Sunjida Sultana, Fahmid Al Farid, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Noramiza Hashim, Mohd Nizam Husen

Sensors, 2022

New Hybrid Deep Learning Approach Using BiGRU-BiLSTM and Multilayered Dilated CNN to Detect Arrhythmia.

Md. Shofiqul Islam, Md Nahidul Islam, Noramiza Hashim, Mamunur Rashid, Bifta Sama Bari, Fahmid Al Farid

IEEE Access, 2022

2021

Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline.

Md Nahidul Islam, Norizam Sulaiman, Fahmid Al Farid, Jia Uddin, Salem A. Alyami, Mamunur Rashid, Anwar P. P. Abdul Majeed, Mohammad Ali Moni

PeerJ Comput. Sci., 2021

A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework.

Bifta Sama Bari, Md Nahidul Islam, Mamunur Rashid, Md Jahid Hasan, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Ahmad Fakhri Ab. Nasir, Anwar P. P. Abdul Majeed

PeerJ Comput. Sci., 2021

2020

Empirical Mode Decomposition Coupled with Fast Fourier Transform based Feature Extraction Method for Motor Imagery Tasks Classification.

Md Nahidul Islam, Norizam Sulaiman, Mamunur Rashid, Bifta Sama Bari, Md Jahid Hasan, Mahfuzah Mustafa, Mohd Shawal Jadin

Proceedings of the 10th IEEE International Conference on System Engineering and Technology, 2020