Shake Ibna Abir Data-verified
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Biography and Research Information
OverviewAI-generated summary
Shake Ibna Abir's research focuses on the application of machine learning and deep learning techniques across various domains, including health, environmental sustainability, and financial accessibility. In health sciences, Abir investigates the use of AI for diagnosing and predicting neurological diseases and skin lesions, with a specific emphasis on melanoma detection and brain tumor identification through MR imaging. This work also extends to studying health risks and disease transmission in undocumented immigrant populations using predictive machine learning models. Abir also examines the influence of AI innovation and financial accessibility on environmental sustainability, particularly within the G-7 nations, employing econometric methods like Panel ARDL and Quantile Regression. Further research explores the nexus between AI innovation, ecological footprints, and financial factors in the Nordic region, as well as the impact of AI and financial accessibility on load capacity factors in the United States. Abir holds a h-index of 8 with 114 citations across 13 publications and collaborates with Shaharina Shoha from Arkansas State University on multiple projects.
Metrics
- h-index: 9
- Publications: 17
- Citations: 154
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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Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach (2025)
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Advancing Neurological Disease Prediction through Machine Learning Techniques (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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Accelerating BRICS Economic Growth: AI-Driven Data Analytics for Informed Policy and Decision Making (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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Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare (2024)
Collaboration Network
Top Collaborators
- A Comprehensive Examination of MR Image-Based Brain Tumor Detection via Deep Learning Networks
- Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and Quantile Regression Analysis
- Health Risks and Disease Transmission in Undocumented Immigrants in the U.S Using Predictive ML
- Analyzing the Nexus between AI Innovation and Ecological Footprint in Nordic Region: Impact of Banking Development and Stock Market Capitalization using Panel ARDL method
- Advancing Neurological Disease Prediction through Machine Learning Techniques
Showing 5 of 11 shared publications
- 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
- Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and Quantile Regression Analysis
- Analyzing the Nexus between AI Innovation and Ecological Footprint in Nordic Region: Impact of Banking Development and Stock Market Capitalization using Panel ARDL method
- 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
- Assessing the Impact of AI Innovation, Financial Development, and the Digital Economy on Load Capacity Factor in the BRICS Region
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Advancing Neurological Disease Prediction through Machine Learning Techniques
- 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
- Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Advancing Neurological Disease Prediction through Machine Learning Techniques
- 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
- Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
- A Comprehensive Examination of MR Image-Based Brain Tumor Detection via Deep Learning Networks
- Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and Quantile Regression Analysis
- Health Risks and Disease Transmission in Undocumented Immigrants in the U.S Using Predictive ML
- Analyzing the Nexus between AI Innovation and Ecological Footprint in Nordic Region: Impact of Banking Development and Stock Market Capitalization using Panel ARDL method
- Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and Quantile Regression Analysis
- 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
- Assessing the Impact of AI Innovation, Financial Development, and the Digital Economy on Load Capacity Factor in the BRICS Region
- 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
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- 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
- Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
- Utilization of Feature Fusion in Diagnostic Applications
- 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
- Assessing the Impact of AI Innovation, Financial Development, and the Digital Economy on Load Capacity Factor in the BRICS Region
- Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and Quantile Regression Analysis
- 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
- Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and Quantile Regression Analysis
- Enhancing Load Capacity Factor: The Influence of Financial Accessibility, AI Innovation, and Institutional Quality in the United States
- Assessing the Impact of AI Innovation, Financial Development, and the Digital Economy on Load Capacity Factor in the BRICS Region
- 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
- Assessing the Impact of AI Innovation, Financial Development, and the Digital Economy on Load Capacity Factor in the BRICS Region
- 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
- Advancing Neurological Disease Prediction through Machine Learning Techniques
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
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