Medical image classification, a critical component in medical diagnostics, has significantly
advanced through the integration of machine learning (ML) and deep learning (DL) …

This abstract delves into the realm of traffic sign detection techniques tailored for India's
diverse and dynamic traffic environment. It navigates through traditional methods like color …

This survey provides a comprehensive analysis of the systematic differences and
advancements between deep learning (DL) and traditional machine learning (ML) models …

The proliferation of fake news in online media platforms poses a significant threat to the
integrity of information dissemination and public discourse. In response, researchers have …

The theoretical evaluation of machine learning (ML) and deep learning (DL) applications
encompasses the rigorous analysis of their mathematical foundations, algorithmic principles …

This review explores the classification of skin melanoma utilizing various machine learning
(ML) and deep learning (DL) models, highlighting the advancements and comparative …

In this comprehensive review, various machine learning (ML) and deep learning (DL)
models are evaluated for their effectiveness in classifying Alzheimer's disease. The study …

This comprehensive review explores the efficacy of various machine learning (ML) and deep
learning (DL) models in identifying lung disease sounds, addressing the complex diagnostic …

Weather is influenced by several factors such as temperature, pressure, air movement,
moisture/water vapor, and the Earth's rotation. Forecasting weather with high geographic …