Driven by the ongoing migration towards Industry 4.0, the increasing adoption of artificial
intelligence (AI) has empowered smart manufacturing and digital transformation. AI …

Metal additive manufacturing (AM) is capable of producing complex parts, using a wide
range of functional metals that are otherwise very difficult to make and involve multiple …

This paper provides a comprehensive survey of the state-of-the-art use of Artificial
Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. The paper …

The research has chosen the workers in construction-related companies in South Korea and
the United Kingdom (UK) as research subjects in order to analyse factors that influence their …

Abstract Additive Manufacturing (AM) using Selective Laser Melting (SLM) has gained
significant prominence across various industries involved in stainless steel part …

This article delves into the complex trend of reshoring US manufacturing, highlighting supply
chain challenges and potential advantages. It analyzes economic drivers, including trade …

Microlens arrays (MLAs) with a tunable imaging ability are core components of advanced
micro-optical systems. Nevertheless, tunable MLAs generally suffer from high power …

This paper investigates the performance of deep convolutional spiking neural networks
(DCSNNs) trained using spike-based backpropagation techniques. Specifically, the study …

Treatment of bone defects resulting after tumor surgeries, accidents, or non-unions is an
actual problem linked to morbidity and the necessity of a second surgery and often requires …

Robotic arc additive remanufacturing utilizes the same technology methods as wire arc
additive manufacturing to repair and restore worn parts and components. It holds immense …