Md Ferdous Wahid

Orcid: 0009-0003-4840-9948

According to our database1, Md Ferdous Wahid authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Performance Enhancement of Lead-Free CsSnI<sub>3</sub> Perovskite Solar Cell: Design and Simulation With Different Electron Transport Layers.
IEEE Access, 2024

2023
Cesarean Section Classification Using Machine Learning With Feature Selection, Data Balancing, and Explainability.
IEEE Access, 2023

Retinal Optical Coherence Tomography Image Denoising using Convolutional Autoencoder.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition.
CoRR, 2022

2021
Classification of Diabetic Retinopathy from OCT Images using Deep Convolutional Neural Network with BiLSTM and SVM.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Comparison of Handcrafted and Deep Neural Network Feature Extraction for Recognizing Bangla Sign Digits Exploiting Machine Learning Classifiers.
Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021

Development of Machine-Learning Algorithms for Recognition of Subjects' Upper Limb Movement Intention Using Electroencephalogram Signals.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A New State of Art Deep Learning Approach for Bangla Handwritten Digit Recognition using SVM Classifier.
Proceedings of the 11th International Conference on Computing, 2020

2019
Performance Analysis of Machine Learning Techniques for Microscopic Bacteria Image Classification.
Proceedings of the 10th International Conference on Computing, 2019

2018
Subject-independent hand gesture recognition using normalization and machine learning algorithms.
J. Comput. Sci., 2018


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