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Education and qualifications (3)

Texas State University: San Marcos, TX, US

Education
Source: Self-asserted source
Abdullah Al Bashit

Rajshahi University of Engineering and Technology: Rajshahi, BD

Qualification
Source: Self-asserted source
Abdullah Al Bashit

Northeastern University: Boston, MA, US

(Electrical & Computer Engineering)
Education
Source: Self-asserted source
Abdullah Al Bashit

Professional activities (1)

American Crystallographic Association: Buffalo, New York, US

Membership
Source: Self-asserted source
Abdullah Al Bashit

Works (5)

Characterization of sub-micrometre-sized voids in fixed human brain tissue using scanning X-ray microdiffraction

Journal of Applied Crystallography
2024-10-01 | Journal article
DOI: 10.1107/S1600576724008987
Contributors: Prakash Nepal; Abdullah A. Bashit; Lee Makowski
Source: check_circle
Crossref

An Initial Machine Learning-Based Victim’s Scream Detection Analysis for Burning Sites

Applied Sciences
2021-09 | Journal article | Author
DOI: 10.3390/app11188425
Contributors: Fairuz Samiha Saeed; Abdullah Al Bashit; Vishu Viswanathan; Damian Valles
Source: check_circle
Multidisciplinary Digital Publishing Institute
grade
Preferred source (of 2)‎

MFCC-based Houston Toad Call Detection using LSTM

2019 IEEE International Symposium on Measurement and Control in Robotics (ISMCR)
2019-09 | Conference paper
DOI: 10.1109/ismcr47492.2019.8955667
ISBN: 9781728148991
Source: Self-asserted source
Abdullah Al Bashit

A Solar Powered Raspberry Pi Houston Toad Call Detection System Using Neural Network Model

2018 International Conference on Computational Science and Computational Intelligence (CSCI)
2018-12 | Conference paper
DOI: 10.1109/csci46756.2018.00198
ISBN: 9781728113609
Source: Self-asserted source
Abdullah Al Bashit

A Mel-Filterbank and MFCC-based Neural Network Approach to Train the Houston Toad Call Detection System Design

2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
2018-11 | Conference paper
DOI: 10.1109/iemcon.2018.8615076
ISBN: 9781538672662
Source: Self-asserted source
Abdullah Al Bashit
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