Automation

In an era where construction projects are becoming increasingly complex, the need for innovative optimization solutions has never been more pressing. Recent research led by Qian Feng from the School of Automation and Electrical Engineering at the Uni

Recent advancements in healthcare technology have unveiled a promising approach to the classification of heartbeats, a critical factor in diagnosing arrhythmias—conditions that can lead to severe cardiovascular issues. A study led by Yue-fan Xu from

In a groundbreaking study published in ‘Journal of Engineering Science’, researchers at the University of Science and Technology Beijing have unveiled an innovative approach to noncontact vital signs detection that could revolutionize health monitori

A groundbreaking study published in ‘Journal of Engineering Science’ has unveiled a promising noninvasive method for blood glucose monitoring using electrocardiogram (ECG) signals, a development that could significantly impact various sectors, includ

In a groundbreaking study published in ‘Journal of Engineering Science’, researchers are exploring the untapped potential of tactile coding, particularly its application in enhancing human-computer interaction. Led by Jing-yi Du from the School of Au

In recent years, the integration of unmanned aerial vehicles (UAVs) into military operations has surged, prompting significant advancements in autonomous aerial refueling technologies. A recent study led by Zhi-jie Liu from the School of Automation a

In an era where intelligent manufacturing is reshaping industries, a recent study on process interface technologies in the steelmaking-continuous casting section (SCCS) has unveiled significant advancements that could revolutionize operations within

In a world where technology increasingly intersects with our daily environments, the ability to detect text in natural scenes has emerged as a vital area of research, particularly for industries like construction. A recent literature review by Zhi-ch

Recent advancements in deep reinforcement learning (DRL) have opened new avenues in natural language processing (NLP), particularly in text generation. This transformative research, led by Cong Xu from the School of Automation and Electrical Engineer

In a groundbreaking study published in the journal ‘Journal of Engineering Science’, researchers have unveiled a distributed gradient-based consensus optimization algorithm that promises to revolutionize decision-making processes in complex industria