Now, due to the global industrialization, carbon emission from the industrial section imposes
a severe impact on the current environment. Due to the increasing awareness of …

The fields of artificial intelligence, machine learning, human-machine interaction, etc., have
made significant strides in recent years. Using voice commands to engage with machines or …

In recent years, the convergence of cognitive computing and natural language processing
(NLP) has emerged as a critical field of study, promising significant breakthroughs in …

This research explores the application of Long Short-Term Memory Systems (LSTMs) and
conventional machine learning calculations for prescient support in shrewd grids …

This paper presents a comprehensive review of the current state-of-the-art in employee
absenteeism prediction using machine learning techniques. The paper begins by providing …

Brain tumours may be either benign or malignant. The highest grade of brain tumours is
associated with a very poor survival rate. So, plan your treatments ahead of time. Improve …

Heart failure is one of the most serious and important diseases to predict between the
enzymes. Recently., artificial intelligence has become fundamental for the survival of the …

This research investigates real-time natural checking and forecasting in IoT systems utilizing
Graph Neural Networks (GNNs). Leveraging a comprehensive dataset from IoT sensors …

Pharmaceutical manufacturing is a critical industry that demands high precision and
efficiency while adhering to stringent quality standards. This is where artificial intelligence …

Drones, also known as Unmanned Aerial Vehicles, or UAVs, are becoming more and more
well-liked as a multifunctional tool that can be used in a variety of industries, including …