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 ...

Abstract: Stress can disrupt daily activities and harm health if prolonged or severe. Early detection of mental stress, indicated by changes in bio-signals like thermal, electrical, and acoustic ...

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 ...

Abstract: For cancer diagnosis and treatment planning, accurate and reliable brain tumor segmentation is crucial. In this paper, a CNN encoder-decoder-based multi-task learning method is proposed.