S
Shaharina Shoha Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
11 h-index
26 pubs
262 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Shaharina Shoha's research investigates the application of artificial intelligence (AI) and deep learning techniques across various domains. Her recent publications explore the economic and financial implications of AI innovation, including its role in environmental sustainability and financial accessibility, particularly in regions like the Nordic and the United States. Shoha also focuses on the use of advanced machine learning and deep learning methods for medical applications. This includes the detection and classification of diseases such as Parkinson's, skin lesions (melanoma), and brain tumors using medical imaging and vocal features. Additionally, her work extends to predicting psychiatric disorders using EEG data and advancing precision healthcare through deep neural networks in medical imaging. Shoha has 25 publications with an h-index of 10 and 226 citations. She collaborates with Shake Ibna Abir, with whom she shares 9 publications.
Metrics
- h-index: 11
- Publications: 26
- Citations: 262
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
Sarder Abdulla Al Shiam
20 shared publications
- Assessing the Impact of Private Investment in AI and Financial Globalization on Load Capacity Factor: Evidence from United States
- Leveraging AI for a Greener Future: Exploring the Economic and Financial Impacts on Sustainable Environment in the United States
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- A Comprehensive Examination of MR Image-Based Brain Tumor Detection via Deep Learning Networks
Showing 5 of 20 shared publications
Shake Ibna Abir
16 shared publications
- Exploring the LCC Hypothesis in the Nordic Region: The Role of AI Innovation, Environmental Taxes, and Financial Accessibility via Panel ARDL
- Assessing the Impact of Private Investment in AI and Financial Globalization on Load Capacity Factor: Evidence from United States
- Leveraging AI for a Greener Future: Exploring the Economic and Financial Impacts on Sustainable Environment in the United States
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
Showing 5 of 16 shared publications
Md Shah Ali Dolon
University of New Haven (US)
10 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- Enhancing Load Capacity Factor: The Influence of Financial Accessibility, AI Innovation, and Institutional Quality in the United States
- Towards Carbon Neutrality: The Impact of Private AI Investment and Financial Development in the United States – An Empirical Study Using the STIRPAT Model
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
Showing 5 of 10 shared publications
Shake Ibna Abir
Arkansas State University
9 shared publications
In database
- A Comprehensive Examination of MR Image-Based Brain Tumor Detection via Deep Learning Networks
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Health Risks and Disease Transmission in Undocumented Immigrants in the U.S Using Predictive ML
- Enhancing Load Capacity Factor: The Influence of Financial Accessibility, AI Innovation, and Institutional Quality in the United States
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
Showing 5 of 9 shared publications
Mohammad Ridwan
Noakhali Science and Technology University (BD)
8 shared publications
- Exploring the LCC Hypothesis in the Nordic Region: The Role of AI Innovation, Environmental Taxes, and Financial Accessibility via Panel ARDL
- Assessing the Impact of Private Investment in AI and Financial Globalization on Load Capacity Factor: Evidence from United States
- Leveraging AI for a Greener Future: Exploring the Economic and Financial Impacts on Sustainable Environment in the United States
- Leveraging AI for Promoting Sustainable Environments in G-7: The Impact of Financial Development and Digital Economy via MMQR Approach
- Enhancing Load Capacity Factor: The Influence of Financial Accessibility, AI Innovation, and Institutional Quality in the United States
Showing 5 of 8 shared publications
Abid Hasan Shimanto
University of Massachusetts Boston (US)
8 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- 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
- Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease
Showing 5 of 8 shared publications
Rasheed Zakaria
University of Massachusetts Boston (US)
7 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- 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
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
Showing 5 of 7 shared publications
S M Shamsul Arefeen
University of Massachusetts Boston (US)
7 shared publications
- A Comprehensive Examination of MR Image-Based Brain Tumor Detection via Deep Learning Networks
- Health Risks and Disease Transmission in Undocumented Immigrants in the U.S Using Predictive ML
- 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
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
Showing 5 of 7 shared publications
Nazrul Islam Khan
7 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 7 shared publications
Afsana Akhter
Noakhali Science and Technology University (BD)
6 shared publications
- Exploring the LCC Hypothesis in the Nordic Region: The Role of AI Innovation, Environmental Taxes, and Financial Accessibility via Panel ARDL
- Assessing the Impact of Private Investment in AI and Financial Globalization on Load Capacity Factor: Evidence from United States
- Leveraging AI for Promoting Sustainable Environments in G-7: The Impact of Financial Development and Digital Economy via MMQR Approach
- Enhancing Load Capacity Factor: The Influence of Financial Accessibility, AI Innovation, and Institutional Quality in the United States
- Towards Carbon Neutrality: The Impact of Private AI Investment and Financial Development in the United States – An Empirical Study Using the STIRPAT Model
Showing 5 of 6 shared publications
Md Atikul Islam Mamun
Stephen F. Austin State University (US)
6 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- A Comprehensive Examination of MR Image-Based Brain Tumor Detection via Deep Learning Networks
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Health Risks and Disease Transmission in Undocumented Immigrants in the U.S Using Predictive ML
Showing 5 of 6 shared publications
Shariar Islam Saimon
University of Bridgeport (US)
5 shared publications
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- 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
Ishraq Islam
University of Bridgeport (US)
5 shared publications
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- 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
Nigar Sultana
University of New Haven (US)
5 shared publications
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- 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
Shewly Bala
University of Dhaka (BD)
4 shared publications
- Leveraging AI for a Greener Future: Exploring the Economic and Financial Impacts on Sustainable Environment in the United States
- Leveraging AI for Promoting Sustainable Environments in G-7: The Impact of Financial Development and Digital Economy via MMQR Approach
- Enhancing Load Capacity Factor: The Influence of Financial Accessibility, AI Innovation, and Institutional Quality in the United States
- Towards Carbon Neutrality: The Impact of Private AI Investment and Financial Development in the United States – An Empirical Study Using the STIRPAT Model
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