Machine Learning (ML) is a rapidly emerging field that enables a plethora of innovative
approaches to solving real-world problems. It enables machines to learn without human …

In today's world, machine learning is promising to produce consistently accurate estimates in
different applications. The machine learning system learns effectively from the training …

Aging population is a worldwide trend, which has created a societal crisis as many countries
face the challenges of supporting an aging population with increasing costs of healthcare …

1 Energy management and efficient asset utilization play an important role in the economic
development of a country. The electricity produced at the power station faces two types of …

Soil erosion, the degradation of the earth's surface through the removal of soil particles,
occurs in three phases: dislocation, transport, and deposition. Factors such as soil type …

Who is the controls information, he can controls the world. Therefore, the students must be
able to process information into something useful for the learning process. The use of …

The increasing demand for electricity in daily life highlights the need for Smart Cities (SC) to
use energy efficiently. Both technical and Non‐Technical Losses (NTL), particularly those …

Abstract The Internet of Things (IoT) network is extremely useful in many different fields, such
as smart cities, the military, healthcare, business, and agriculture, among others. The …

Student grades are a relevant variable for predicting student academic performance. In
achieving good and quality student performance, it is necessary to analyze or evaluate the …

An assessment of the success of a college is if the student's graduation rate is on time and
high every year. The timeliness of students' graduation can be influenced by several factors …