Fazla Rabbi Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Arkansas State University

faculty

3 h-index 10 pubs 34 cited

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OverviewAI-generated summary

Fazla Rabbi's research focuses on the application of machine learning and deep learning techniques to address challenges across various domains. His work includes developing frameworks for disease detection, such as Parkinson's disease from EEG signals using hybrid deep learning models, and cardiovascular risk prediction through stacking classifiers. Rabbi also investigates the use of natural language processing (NLP) and convolutional neural networks (CNNs) for disaster detection from social media data, and machine learning for corrosion level prediction in the oil and gas industry. Additionally, his research explores the impacts of climate change on crop patterns using explainable AI and genre classification from Bangla music lyrics. Rabbi has a scholarly profile with an h-index of 3, 10 total publications, and 34 citations. He collaborates with Alexandr M. Sokolov at Arkansas State University, with whom he shares one publication.

Metrics

h-index: 3
Publications: 10
Citations: 34

Selected Publications

A comparative analysis of machine learning techniques for detecting probing attack with SHAP algorithm (2025) DOI
Performance evaluation of NLP and CNN models for disaster detection using social media data (2024) DOI
Cardiovascular Risk Prediction Through Stacking Classifier (2024) DOI
A Machine Learning-Based Corrosion Level Prediction in the Oil and Gas Industry (2024) DOI