Explainable AI for healthcare 5.0: opportunities and challenges
In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …
expands the operational boundaries of Healthcare 4.0 and leverages patient-centric digital …
Recent advancements in agriculture robots: Benefits and challenges
C Cheng, J Fu, H Su, L Ren - Machines, 2023 - mdpi.com
In the development of digital agriculture, agricultural robots play a unique role and confer
numerous advantages in farming production. From the invention of the first industrial robots …
numerous advantages in farming production. From the invention of the first industrial robots …
[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 …
Pneumatic soft robots: Challenges and benefits
In the field of robotics, soft robots have been showing great potential in the areas of medical
care, education, service, rescue, exploration, detection, and wearable devices due to their …
care, education, service, rescue, exploration, detection, and wearable devices due to their …
[PDF][PDF] Direct yaw-moment control of electric vehicles based on adaptive sliding mode
L Ma, C Cheng, J Guo, B Shi, S Ding, K Mei - Math. Biosci. Eng, 2023 - aimspress.com
The direct yaw-moment control (DYC) system consisting of an upper controller and a lower
controller is developed on the basis of sliding mode theory and adaptive control technique …
controller is developed on the basis of sliding mode theory and adaptive control technique …
[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 …
Visual content privacy protection: A survey
Vision is the most important sense for people, and it is also one of the main ways of
cognition. As a result, people tend to utilize visual content to capture and share their life …
cognition. As a result, people tend to utilize visual content to capture and share their life …
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 …
Transformer-based deep reverse attention network for multi-sensory human activity recognition
In today's era, one of the important applications of Artificial Intelligence (AI) is Human Activity
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …
Recognition (HAR). It has a wide range of applicability in health monitoring for patients with …
Spatial attention-based 3d graph convolutional neural network for sign language recognition
Sign language is the main channel for hearing-impaired people to communicate with others.
It is a visual language that conveys highly structured components of manual and non …
It is a visual language that conveys highly structured components of manual and non …