Abstract: This study explores the application of machine learning algorithms to predict abrasive wear based on the chemical composition and hardness of materials, validated through tests using ASTM ...
Abstract: Using machine learning approaches, this effort aims to enhance CRM systems. Controlling client interactions, increasing client retention, and strengthening sales strategy are all greatly ...
Abstract: For the entire world Ground water is considered as the predominant source of water used for various purposes. As far as India is concerned 65% of its needs are satisfied by ground water. But ...
Abstract: Customers are the foundation of any business and its most important asset. Consumers are vital for several reasons, including generating revenue, influencing corporate choices, creating new ...
Predicting customer behavior in e-commerce is a topic this research tackles utilizing state-of-the-art machine learning approaches. Our study attempts to provide a unified method to enhance the ...
PROJECT HAIL MARY gets most of the science right and also delivers it in an accessible, engaging way. The most hard-to-believe part is that the world would come together to solve this problem, ...
Abstract: Customer segmentation is the process by which customers are divided into different groups based on shared features, behaviors, or needs. This assists companies in optimizing resource ...
Abstract: Breast cancer remains a significant global health challenge, requiring accurate and effective diagnostic methods for timely treatment. Ultrasound imaging is a valuable diagnostic tool for ...
Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...