Shaharina Shoha
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Researcher
Faculty Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Shaharina Shoha's research focuses on the application of artificial intelligence and machine learning techniques across diverse domains, including healthcare and environmental sustainability. Her work investigates the use of deep learning for medical diagnoses, such as enhanced Parkinson's disease detection using vocal features and improved melanoma detection from skin lesions. She also explores the predictive capabilities of machine learning for psychiatric disorders based on EEG data.
Beyond healthcare, Shoha examines the economic and financial impacts of AI innovation and financial globalization on environmental sustainability, particularly within the United States and G-7 countries. Her research utilizes advanced analytical methods, including Panel ARDL and quantile regression, to assess these complex relationships. Shoha has published 26 works with 267 citations and an h-index of 11, collaborating with colleagues Shake Ibna Abir and Mohammad Hasan Sarwer at Arkansas State University.
Metrics
- h-index: 11
- Publications: 26
- Citations: 267
Selected Publications
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Challenges and Advances in Different Feature Fusion Techniques: Exploring Mechanisms and Applications (2025)
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Integrating and Enhancing Diverse Categories of Medical Data for AI-Driven Healthcare Solutions (2025)
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Utilization of Feature Fusion in Diagnostic Applications (2025)
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EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia (2025)
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Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders (2025)
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Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making (2025)
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Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting (2025)
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Machine Learning Solutions for Predicting Stock Trends in BRICS amid Global Economic Shifts and Decoding Market Dynamics (2024)
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Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies (2024)
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Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease (2024)
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Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures (2024)
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Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation (2024)
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Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning (2024)
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Lung Cancer Predictive Analysis Using Optimized Ensemble and Hybrid Machine Learning Techniques (2024)
Collaboration Network
Top Collaborators
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
Showing 5 of 13 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
Showing 5 of 9 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease
- Lung Cancer Predictive Analysis Using Optimized Ensemble and Hybrid Machine Learning Techniques
Showing 5 of 6 shared publications
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease
- Utilization of Feature Fusion in Diagnostic Applications
- Integrating and Enhancing Diverse Categories of Medical Data for AI-Driven Healthcare Solutions
Showing 5 of 6 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Lung Cancer Predictive Analysis Using Optimized Ensemble and Hybrid Machine Learning Techniques
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease
- Machine Learning Solutions for Predicting Stock Trends in BRICS amid Global Economic Shifts and Decoding Market Dynamics
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
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