[HTML][HTML] Arc fault detection using artificial intelligence: Challenges and benefits

C Tian, Z Xu, L Wang, Y Liu - Mathematical Biosciences and …, 2023 - aimspress.com
This systematic review aims to investigate recent developments in the area of arc fault
detection. The rising demand for electricity and concomitant expansion of energy systems …

[HTML][HTML] An adaptive reinforcement learning-based multimodal data fusion framework for human–robot confrontation gaming

W Qi, H Fan, HR Karimi, H Su - Neural Networks, 2023 - Elsevier
Playing games between humans and robots have become a widespread human–robot
confrontation (HRC) application. Although many approaches were proposed to enhance the …

The application of robotics and artificial intelligence in embroidery: challenges and benefits

L Chen, Z Su, X He, X Chen, L Dong - Assembly Automation, 2022 - emerald.com
Purpose Embroidery as a textile embellishment technique plays an important role in
people's daily life. Esthetic embroidery artworks possess cultural values. With the …

An improved mutual information feature selection technique for intrusion detection systems in the Internet of Medical Things

M Alalhareth, SC Hong - Sensors, 2023 - mdpi.com
In healthcare, the Internet of Things (IoT) is used to remotely monitor patients and provide
real-time diagnoses, which is referred to as the Internet of Medical Things (IoMT). This …

Benchmarking 2D multi-object detection and tracking algorithms in autonomous vehicle driving scenarios

D Gragnaniello, A Greco, A Saggese, M Vento… - Sensors, 2023 - mdpi.com
Self-driving vehicles must be controlled by navigation algorithms that ensure safe driving for
passengers, pedestrians and other vehicle drivers. One of the key factors to achieve this …

[PDF][PDF] The impact of digital economy on the export competitiveness of China's manufacturing industry

F Wang, B Guo, Z Wang, Y Wu - Mathematical Biosciences and …, 2023 - aimspress.com
The digital economy is an important driving force for the high-quality development of the
manufacturing industry. This paper uses 2013–2019 manufacturing panel data to empirically …

Improved kernel correlation filter based moving target tracking for robot gras**

F Peng, Q Xu, Y Li, M Zheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Tracking and gras** moving objects are hot topics in the field of robots, which provides
great potential in the industrial scene and human–computer cooperation. Based on the …

Exploring the role of robotics in Alzheimer's disease care: innovative methods and applications

AJ Moshayedi, NMI Uddin, X Zhang… - Robotic Intelligence and …, 2023 - emerald.com
Exploring the role of robotics in Alzheimer’s disease care: innovative methods and applications |
Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish with us …

Autonomous control design of an unmanned aerial manipulator for contact inspection

J Zeng, H Zhong, Y Wang, S Fan, H Zhang - Robotica, 2023 - cambridge.org
In recent years, autonomous control based on contact inspections in unknown environments
is a new hot and difficult point in robotics research. This paper presents a new control law for …

A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning

JP Vásconez, LIB López, ÁLV Caraguay… - … Applications of Artificial …, 2023 - Elsevier
Hand gesture recognition (HGR) based on electromyography signals (EMGs) has been one
of the most relevant research topics in the human–machine interfaces field in recent years …