This paper surveys the key methodologies used in the field of Face Recognition Systems, categorizing them into traditional techniques, machine learning approaches, deep learning models, and hybrid systems. Traditional methods such as Eigenfaces and Fisherfaces laid the foundation for face...

The growing demand for electronic devices and shorter product lifecycles has led to a surge in electronic waste, especially waste printed circuit boards, rich in valuable metals like gold, silver, and platinum, often in higher concentrations than natural ores. Traditional pyrometallurgical...

This chapter reviews techniques for detecting and preventing card-not-present (CNP) fraud, which has escalated due to the rise in online transactions and the COVID-19 pandemic. It evaluates methods like machine learning, behavioral analytics and risk-scoring, highlighting their integration for...

This paper explores the intricate interrelationships between green energy-related financial literacy and bioeconomics, examining how these two fields intersect to foster sustainable development pathways. Through a mixed-methods approach combining quantitative analysis of financial literacy...

Weight initialization is a critical factor in training convolutional neural networks (CNNs), particularly in remote sensing (RS) applications where data is often high-dimensional, imbalanced, and noisy. This review explores traditional methods such as Random, Xavier, and He initialization, as...

Deep learning-based audio classification has transformed the industry with improved speech recognition, genre identification in music, and ambient sound detection. The article explores various approaches, including model architectures, evaluation metrics, and preprocessing techniques....

Fake news, a product of the digital age, poses significant threats to social stability, democracy, and political processes. This review critically examines the state-of-the-art in fake news detection, highlighting progress, challenges, and key insights. Detection methods often utilize machine...

This study analyzes web services' functionalities and performance, focusing on mobile platforms and Web3 applications. Web services enable communication between applications but pose challenges due to different types (RESTful, SOAP), data formats, and protocols. Choosing the right service...

The study compares staff retention strategies used in the banking and insurance sectors. Employers use employee retention as a technique to keep talented and skilled individuals in their firm and lower the cost of employee turnover. Employee happiness is one of the crucial elements that aids any...

Real time data processing of data in intelligent analytics, decision making and AI model training and updating is an area where edge computing can be put to effective use. This chapter focuses on their deployment with machine intelligence, sensors, and networking in IIoT and smart health care...