In the rapidly evolving landscape of manufacturing, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) is revolutionizing predictive maintenance practices. Predictive maintenance harnesses data to detect irregular patterns and anticipate equipment failures before they
Steel is renowned for its strength and durability, making it a common choice for infrastructure like bridges. However, even steel deteriorates over time, particularly under extreme weather conditions. The deterioration of steel beams in bridges can lead to failures that cause significant injuries,
The manufacturing sector is undergoing a significant transformation, driven by the advent of advanced technologies and evolving market demands. Manufacturers are increasingly incorporating AI, IoT, and sustainability practices to boost productivity, reduce costs, and achieve eco-friendly
Malaysia's manufacturing sector is at a critical juncture, facing immense pressure to adopt greener practices to significantly reduce its carbon footprint. As the third-largest carbon emitter in the country, this sector's transformation is essential for achieving the nation's ambitious
The 5G Industrial Internet of Things (IIoT) stands at the vanguard of a revolutionary wave that is reshaping the industrial world. This evolution is not merely about the pervasive spread of machines and sensors; it's about an intricate dance of connectivity, intelligence, and lightning-fast data
In today’s fast-paced manufacturing environment, minimizing machine downtimes and equipment failures is crucial for maintaining production efficiency and profitability. Traditional maintenance approaches often identify problems only after significant damage has occurred, leading to costly
