This study demonstrated a machine learning approach to predict the photocatalytic
properties of graphitic carbon nitride (gC 3 N 4) depending on its synthesis parameters to …

Background Several factors can impair image quality and reliability of liver magnetic
resonance elastography (MRE), such as inadequate driver positioning, insufficient wave …

Automation and the integration of artificial intelligence (AI) are reshaping modern business
operations. This evolution has historical roots, with a growing emphasis on efficiency and …

With e-commerce constantly changing, the introduction of 6G technology presents both
possibilities and difficulties. This chapter examines how e-commerce and 6G intersect …

Abstract 6G networks are the next frontier in wireless communication, promising
unprecedented speeds, lower latencies and advanced capabilities. However, with greater …

Feature attribution methods can visually highlight specific input regions containing influential
aspects affecting a deep learning model's prediction. Recently, the use of feature attribution …

Electrocardiograms can reveal irregular cardiac cycles, ie, arrhythmia and detecting
arrhythmia from its morphology is challenging. This article proposes a novel approach for …

This chapter explores the evolving landscape of AI-enhanced supply chain management,
emphasizing the pivotal role of artificial intelligence (AI) in optimizing supply chain …

Abstract Multivariate Time Series Classification (MTSC) presents a significant challenge in
time series data mining. While many methods have been proposed, Convolutional Neural …

Initiating the study into digital twin technology, the planning and implementation of the 6G
network necessitates real-time interaction and alignment between physical systems and …