[PDF][PDF] Advancing Neurological Disease Prediction through Machine Learning Techniques
Late prediction is a major health problem for neurological diseases and early prediction is
essential to advance patient outcomes and allow timely intervention. Machine learning (ML) …
essential to advance patient outcomes and allow timely intervention. Machine learning (ML) …
Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
In this paper, we explore the use of different machine learning models on predicting
currency exchange rates among BRICS economies (Brazil, Russia, India, China and South …
currency exchange rates among BRICS economies (Brazil, Russia, India, China and South …
Accelerating BRICS Economic Growth: AI-Driven Data Analytics for Informed Policy and Decision Making
This paper analyzes how the Artificial Intelligence (AI) and Machine Learning (ML) are
bridging the gap between economic growth in the BRICS countries. BRICS countries are …
bridging the gap between economic growth in the BRICS countries. BRICS countries are …
Unveiling the role of artificial intelligence and stock market growth in achieving carbon neutrality in the United States: An ARDL model analysis
Given the fact that climate change has become one of the most pressing problems in many
countries in recent years, specialized research on how to mitigate climate change has been …
countries in recent years, specialized research on how to mitigate climate change has been …
Machine Learning Solutions for Predicting Stock Trends in BRICS amid Global Economic Shifts and Decoding Market Dynamics
In this paper we examine the role of machine learning (ML) in predicting stock market trends
within BRICS economies. Complex, interdependent global and regional economic factors …
within BRICS economies. Complex, interdependent global and regional economic factors …
[PDF][PDF] Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
In this paper, we develop a method based on a deep learning method in financial market
prediction, which includes BRICS economies as the test cases. Financial markets are rife …
prediction, which includes BRICS economies as the test cases. Financial markets are rife …
[PDF][PDF] Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
Early detection of psychiatric disorders as well as efficient treatment are difficult owing to
their challenges, which require accurate prediction methods in healthcare. When combined …
their challenges, which require accurate prediction methods in healthcare. When combined …
[PDF][PDF] EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
Electroencephalogram (EEG) functional connectivity analysis provides important clues
about brain network abnormalities, an important approach to diagnose complex …
about brain network abnormalities, an important approach to diagnose complex …
Environmental health in BIMSTEC: the roles of forestry, urbanization, and financial access using LCC theory, DKSE, and quantile regression
In recent years, the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic
Cooperation (BIMSTEC) region has faced pressing environmental concern, containing …
Cooperation (BIMSTEC) region has faced pressing environmental concern, containing …
[PDF][PDF] Measuring How AI Innovations and Financial Accessibility Influence Environmental Sustainability in the G-7: The Role of Globalization with Panel ARDL and …
This study investigates the impact of AI innovation on environmental sustainability in the G-7
region from 2010 to 2022. Additionally, it tests the Load Capacity Curve (LCC) hypothesis in …
region from 2010 to 2022. Additionally, it tests the Load Capacity Curve (LCC) hypothesis in …