Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Md Amiruzzaman

4PUBLICATIONS
4CO-AUTHORS
Deep learningUrban informaticsData visualisation and computational (incl. parametric and generative) designArtificial life and complex adaptive systems
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (4)

Sort by Publication Date:
|Oct 25, 2024
A Survey on Explainable Artificial Intelligence (XAI) Techniques for Visualizing Deep Learning Models in Medical Imaging.

Deepshikha Bhati, Fnu Neha, Md Amiruzzaman

|Jan 03, 2023
An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables.

Md Amiruzzaman, Ye Zhao, Stefanie Amiruzzaman

|Mar 15, 2021
Classifying crime places by neighborhood visual appearance and police geonarratives: a machine learning approach.

Md Amiruzzaman, Andrew Curtis, Ye Zhao

|Dec 10, 2020
A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data.

Rasel Ahmed Bhuiyan, Nadeem Ahmed, Md Amiruzzaman

Pageof 1

Frequent Collaborators

1 joint publications

Rasel Ahmed Bhuiyan

1 joint publications

Md Rashedul Islam

1 joint publications

Deepshikha Bhati

1 joint publications

Fnu Neha

Frequent Collaborators

1 joint publications

Rasel Ahmed Bhuiyan

1 joint publications

Md Rashedul Islam

1 joint publications

Deepshikha Bhati

1 joint publications

Fnu Neha

Top Related Videos

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on : Jul 05, 2024

370
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on : May 07, 2019

9.1K
See more related videos

Top Related Videos

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on : Jul 05, 2024

370
Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
08:25

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

Published on : May 07, 2019

9.1K
See more related videos