Temperature serves as a fundamental indicator of thermal conditions, influencing various
natural processes and human activities. This study investigates the relationship between …

Urban road networks face increasing challenges in balancing traffic efficiency, budget
limitations, and environmental impacts as cities prepare for future demand. This paper …

Automated Machine Learning (AutoML) has revolutionized the field of machine learning by
automating complex and time-intensive tasks such as data preprocessing, model selection …

This research delves into the comprehensive methodology of employing machine learning
in the domain of fraud detection, outlining the critical steps from data collection to continuous …

This paper explores the importance and applications of feature selection in machine
learning models, with a focus on three main feature selection methods: filter methods …

In recent years, there is a high demand for transparency and accountability in machine
learning models, especially in domains such as healthcare, finance and etc. In this paper …

Combining geospatial analysis with machine learning creates a novel synergy beyond
conventional approaches to comprehending our spatial surroundings. The ability of machine …

In the area of AI based path planning, the learner is not told which actions to take, as is
common in most forms of machine learning. Instead, the learner must discover through trial …

Pattern recognition has its origins in engineering, whereas machine learning grew out of
computer science. However, these activities can be viewed as two facets of the same field …

Arun Karma Abstract This paper explores the critical role and practical applications of
feature selection in machine learning, focusing on three primary techniques: filter, wrapper …