The Weed Plant Detection in Agricultural Field Images explores the application of Deep
Learning (DL) methods in the field of agriculture, specifically focusing on weed detection …

Social networking sites have become essential forums for sharing thoughts, feelings, and
criticism on a range of subjects. Sentiment analysis from user-generated information is …

Human Activity Recognition (HAR) has been employed in a number of applications
including sports analytic, healthcare monitoring, surveillance, and human-computer …

Breast cancer is the illness that affects women the most. Every day, there are more and more
cases of breast cancer. An AI algorithm-based automation system is proposed to assist …

A significant number of people in developing nations like India, when a primary source of
income is farming, depend on the agriculture sector for their economy. The agricultural …

In the age of smartphones, DeepHealth emerges as a groundbreaking application
transforming personal health monitoring. By harnessing smartphone sensors and advanced …

This research possesses the potential of two emerging technologies–Machine Learning and
Blockchain, to tackle the challenges in the educational sector. Our main objective is to …

The field of Natural Language Processing (NLP) has witnessed significant advancements
with the advent of transformer-based models, revolutionizing tasks such as question …

Satellite imagery is indeed a powerful tool for various applications, including environmental
monitoring, infrastructure planning and management, urban planning, and disaster …

Predicting future movements in stock prices is a topic of intense interest in the world of
Fintech. Non-Standard Dynamics and complicated interplays of the stock market make …