Md Tanzim Reza

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation.
CoRR, 2024

Explainable Deepfake Video Detection using Convolutional Neural Network and CapsuleNet.
CoRR, 2024

Spatially Optimized Compact Deep Metric Learning Model for Similarity Search.
CoRR, 2024

A Computer Vision Based Approach for Stalking Detection Using a CNN-LSTM-MLP Hybrid Fusion Model.
CoRR, 2024

MultiModal Ensemble Approach Leveraging Spatial, Skeletal, and Edge Features for Enhanced Bangla Sign Language Recognition.
IEEE Access, 2024

2023
Federated Ensemble-Learning for Transport Mode Detection in Vehicular Edge Network.
Future Gener. Comput. Syst., December, 2023

Aggregating Different Scales of Attention on Feature Variants for Tomato Leaf Disease Diagnosis from Image Data: A Transformer Driven Study.
Sensors, April, 2023

Effectiveness of Federated Learning and CNN Ensemble Architectures for Identifying Brain Tumors Using MRI Images.
Neural Process. Lett., 2023

AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder.
CoRR, 2023

An XAI Integrated Identification System of White Blood Cell Type Using Variants of Vision Transformer.
Proceedings of the Second International Conference on Innovations in Computing Research (ICR'23), 2023

Improving Non-Invasive Brain Tumor Categorization using Transformers on MRI Data.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Byzantine-Resilient Federated Learning Leveraging Confidence Score to Identify Retinal Disease.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

A Low Parametric CNN Based Solution to Efficiently Detect Brain Tumor Cells from Ultrasound Scans.
Proceedings of the 13th IEEE Annual Computing and Communication Workshop and Conference, 2023

A Comparative Study of Machine Learning Classifiers for Speaker's Accent Recognition.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

PNEXAI: An Explainable AI Driven Decipherable Pneumonia Classification System Leveraging Ensemble Neural Network.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

A Machine Learning Driven Analysis to Determine the Correlation Between Parenting Style and Offspring's Behavior.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

A Power Efficient Solution to Determine Red Blood Cell Deformation Type Using Binarized DenseNet.
Proceedings of the 2023 International Conference on Advances in Computing Research, 2023

2022
Explainable AI based Glaucoma Detection using Transfer Learning and LIME.
CoRR, 2022

Classifying Insect Pests from Image Data using Deep Learning.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Demystifying Black-box Learning Models of Rumor Detection from Social Media Posts.
Proceedings of the 12th IEEE Annual Ubiquitous Computing, 2021

Exploring Alzheimer's Disease Prediction with XAI in various Neural Network Models.
Proceedings of the IEEE Region 10 Conference, 2021

Alzheimer's Disease Detection and Classification using Transfer Learning Technique and Ensemble on Convolutional Neural Networks.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

A Deep Learning Approach for Reconstruction of Color Images in Different Lighting Conditions Based on Autoencoder Technique.
Proceedings of the International Conference on Electronics, Information, and Communication, 2021

Interpretable COVID-19 Classification Leveraging Ensemble Neural Network and XAI.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

2020
Parkinson's Disease Detection Using FMRI Images Leveraging Transfer Learning on Convolutional Neural Network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Detection of Brain Tumor and Identification of Tumor Region Using Deep Neural Network On FMRI Images.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

Semantic Segmentation of Brain Tumor from 3D Structural MRI Using U-Net Autoencoder.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2020


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