Shaharina Shoha Source Confirmed

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

Researcher

Arkansas State University

faculty

10 h-index 25 pubs 214 cited

Research Areas

Advanced Neural Network Applications Medical Imaging Techniques and Applications Mental Health Research Topics Neurological disorders and treatments Decision-Making and Behavioral Economics Technology Adoption and User Behaviour AI in cancer detection

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OverviewAI-generated summary

Shaharina Shoha's research investigates the application of advanced computational techniques, particularly deep learning and machine learning, across diverse fields. Her recent publications explore the economic and financial implications of artificial intelligence (AI) and financial globalization, examining factors like innovation, environmental taxes, and investment accessibility in regions such as the Nordic countries and the United States. Shoha also focuses on the use of deep neural networks in medical applications, including the detection and classification of medical conditions. This includes work on enhancing precision healthcare through AI in medical imaging, improving Parkinson's disease detection using vocal features and machine learning, and advancing melanoma detection through deep learning-based classification of skin lesions. Her work also extends to brain tumor detection using deep learning networks and the prediction of psychiatric disorders via EEG analysis using machine learning and deep learning.

Metrics

h-index: 10
Publications: 25
Citations: 214

Selected Publications

Challenges and Advances in Different Feature Fusion Techniques: Exploring Mechanisms and Applications (2025) DOI
Integrating and Enhancing Diverse Categories of Medical Data for AI-Driven Healthcare Solutions (2025) DOI
Utilization of Feature Fusion in Diagnostic Applications (2025) DOI
EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia (2025) DOI
Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders (2025) DOI
Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making (2025) DOI
Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting (2025) DOI
Machine Learning Solutions for Predicting Stock Trends in BRICS amid Global Economic Shifts and Decoding Market Dynamics (2024) DOI
Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies (2024) DOI
Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease (2024) DOI
Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures (2024) DOI
Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation (2024) DOI
Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning (2024) DOI
Lung Cancer Predictive Analysis Using Optimized Ensemble and Hybrid Machine Learning Techniques (2024) DOI