Md. Ashraful Alam

Orcid: 0000-0002-3001-9648

According to our database1, Md. Ashraful Alam authored at least 21 papers between 2012 and 2024.

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Bibliography

2024
Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data.
Int. J. Comput. Assist. Radiol. Surg., March, 2024

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

2022
Novel EDAS Methodology Based on Single-Valued Neutrosophic Aczel-Alsina Aggregation Information and Their Application in Complex Decision-Making.
Complex., 2022

2021
Super-Resolution Enhancement Method Based on Generative Adversarial Network for Integral Imaging Microscopy.
Sensors, 2021

Decadal Urban Land Use/Land Cover Changes and Its Impact on Surface Runoff Potential for the Dhaka City and Surroundings Using Remote Sensing.
Remote. Sens., 2021

Dermo-DOCTOR: A framework for concurrent skin lesion detection and recognition using a deep convolutional neural network with end-to-end dual encoders.
Biomed. Signal Process. Control., 2021

DRNet: Segmentation and localization of optic disc and Fovea from diabetic retinopathy image.
Artif. Intell. Medicine, 2021

Multi-Class Probabilistic Atlas-Based Whole Heart Segmentation Method in Cardiac CT and MRI.
IEEE Access, 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
Trajectory-Based Air-Writing Recognition Using Deep Neural Network and Depth Sensor.
Sensors, 2020

CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography images.
CoRR, 2020

Data-driven missing data imputation in cluster monitoring system based on deep neural network.
Appl. Intell., 2020

Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers.
IEEE Access, 2020

CPU Resource Usage Analysis for Downlink PDCP Processing in CRAN.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks.
CoRR, 2019

Analysis of Linear and Non-Linear Classiers in Imbalanced Data to Predict Diabetes Induced Complications.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Augmented Reality Education System in Developing Countries.
Proceedings of the Engineering Reality of Virtual Reality 2019, 2019

3D visualization of 2D/360° image and navigation in virtual reality through motion processing via smartphone sensors.
Proceedings of the Engineering Reality of Virtual Reality 2019, 2019

2014
Star-Unfolding Polygons.
Proceedings of the Automated Deduction in Geometry - 10th International Workshop, 2014

2012
Outerplanar Graphs and Delaunay Triangulations.
Proceedings of the Computation, Physics and Beyond, 2012


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