[HTML][HTML] Arc fault detection using artificial intelligence: Challenges and benefits
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 …
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
Playing games between humans and robots have become a widespread human–robot
confrontation (HRC) application. Although many approaches were proposed to enhance the …
confrontation (HRC) application. Although many approaches were proposed to enhance the …
The application of robotics and artificial intelligence in embroidery: challenges and benefits
Purpose Embroidery as a textile embellishment technique plays an important role in
people's daily life. Esthetic embroidery artworks possess cultural values. With the …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
of the most relevant research topics in the human–machine interfaces field in recent years …