This work focuses on the application of ML method in conceiving the people's perception and expectations over the efficacy of automotive safety systems. Conducted with topological data analysis, the research applies Sentiment Analysis with BERT and Apache Spark with NLP Libraries to process big...

This chapter explores the application of machine learning (ML) techniques for detecting and preventing fraud in digital marketing and promotional campaigns. It examines common fraud types, including click fraud, coupon abuse, identity manipulation, and network-based schemes, and reviews...

This chapter explores the use of machine learning for predicting crop yields based on environmental data. Key factors contributing to its potential include the availability of large volumes of historical data and powerful algorithms capable of processing it. Changes in climatic zones make...

Dislocation density-based models offer a physically grounded approach to modeling strain hardening in metal forming. Since these models are typically defined by Ordinary Differential Equations (ODEs), their accuracy is constrained by both, the model formulation and the parameter identification...