Tata 1mg is reshaping its marketing engine by integrating AI and gearing up for a privacy-first, cookieless digital future ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

It generates a reasoning chain before producing the final segmentation mask. Seg-Zero is trained exclusively using reinforcement learning, without any explicit supervised reasoning data.

Customer attrition has become the significant challenge for the bank, making large volume of customers to migrate to other banks, as the banks keeps providing multiple benefits to the incoming ...

In the 21st century, there is a handful of information on the Internet. It is easy for customers to switch to a competing company in any sector. It is important for a company to retain its existing ...

Sentiment analysis of social media data has emerged as a crucial tool for understanding people's online opinions and sentiments. This study investigates how to analyze the sentiments conveyed in ...

This research investigates the application of Recurrent Neural Networks (RNNs), specifically Long Short-Term Memory (LSTM) networks, paired with gradient-based optimization techniques for dynamic ...

In the telecommunications sector, financial losses can be substantial due to customer churn. This study explores the prediction of churn in the industry using four popular machine learning algorithms: ...

The accurate separation and classification of minerals are crucial for integrating deep learning-based computer vision approaches into mineral enrichment processes. In this work, labeled microscopic ...