Green communication can improve a firm's reputation and performance, regardless of their genuine green conduct. This book investigates the greenwashing phenomenon and maps how firms mislead consumers by not delivering on their environmental promises. The book provides a comprehensive list of 39...

The MICATool is a comprehensive framework designed to assess the Multiple Impacts of energy efficiency and renewable energy measures. Its methodology allows the incorporation of a variety of social, economic and environmental indicators reflecting the wider impacts of assessed measures. The...

The fashion industry views the artificial intelligence and generative AI industries as game-changers and accelerators. Furthermore, the professional use of artificial intelligence and generative AI increases the production of businesses and organizations in a manner that is both methodical and...

The advent of Quality 5.0, characterized by human-centricity, sustainability, and resilience, necessitates a reimagining of traditional Lean Six Sigma (LSS) methodologies. This paper synthesizes 150 seminal works to propose a transformative framework integrating LSS with emerging technologies...

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....