This research aims to develop a Machine Learning model for predicting soil moisture levels,
which may be used to construct smart irrigation systems. The model was evaluated and …

This paper will help the IT team in the Manufacturing Industry to learn about the outcomes of
the newly developed hyrid software development model. The hybrid model is depended on …

This study primarily examines how well four pretrained deep learning models perform in
identifying eye disorders using four metrics we developed: recall, precision, accuracy, and …

Health care field is facing a lot of challenges due to the huge volume of people need
medical support. The pandemic situation has created a lot of challenges to the healthcare …

The healthcare industry faces immense pressure due to increasing acute diseases,
emergencies, and rising healthcare costs. Developing an intelligent healthcare system can …

Industrial hygiene is a preventive technique that tries to avoid professional illnesses and
damage to health caused by several possible toxic agents. The purpose of this study is to …

Abstract The Cañete River basin, in Peru, has suffered an increase in pollution due to
various causes, among the main ones being the lack of knowledge, culture of individuals …

Clustering is a strong computational approach that is used in many datadriven
bioinformatics studies. Clustering is very useful for evaluating unstructured and high …

In the field of medicine, machine learning algorithms are making use of the ever-increasing
amounts of patient data. Detection, diagnosis, and prognosis are all central concerns in a …

Due to the advances in machine learning and deep learning models, their use in medical
decision frameworks is still minimal. However, the rapid digitization of health information has …