Digital data is increasing rapidly in almost every sector creating problems for their
maintenance, sorting algorithms play a very important role in today's digital world for the …

This study offers an in-depth comparison of several metaheuristic algorithms aimed at
optimizing the job shop scheduling, a pivotal challenge in operational management. By …

Crowd management is a subject that is at a stage where it is not a perfect system but also
does not seem to have a scope for optimization. One of the major factors, which is regulating …

This research focuses on foretells the risk of coronary heart disease for the next 10 years
through machine learning using cardiovascular risk factors. In terms of data preprocessing …

In an era where efficient delivery systems are paramount, this project capitalizes on Open
Street Map data, integrating it with a Python-based road network graph. A suite of …

Stock price prediction has always been a big challange of research in financial markets,
enabling investors and analysts to make informed decisions based on historical data …

So lately, safety for women has been a great social issue. This work “Safety Jacket for
Women Using IOT” presents a new concept of Safety Jacket for women that provides quick …

The present study therefore seeks to propose an intervention in form of an efficient way of
organizing and managing tasks in the aim of increasing productivity among students. Users …

This paper proposes a deep learning approach, specifically the LSTM network, which
predicts BIS values through sequential drug infusion data and patient demographics. The …

Automating the loan approval system using machine learning will be really helpful as it
allows to speed up the credit process, make decisions with more accuracy, speed up the …