Explainable AI for healthcare 5.0: opportunities and challenges

D Saraswat, P Bhattacharya, A Verma, VK Prasad… - IEEe …, 2022‏ - ieeexplore.ieee.org
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 …

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 …

[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 …

[HTML][HTML] Pneumatic soft robots: Challenges and benefits

H Su, X Hou, X Zhang, W Qi, S Cai, X **ong, J Guo - Actuators, 2022‏ - mdpi.com
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 …

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

Z Amiri, A Heidari, M Zavvar… - Transactions on …, 2024‏ - Wiley Online Library
Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms
and the IoT within the healthcare domain. This domain addresses the emerging trends and …

[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 …

[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 …

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 …

Federated learning-based personalized recommendation systems: An overview on security and privacy challenges

D Javeed, MS Saeed, P Kumar, A Jolfaei… - IEEE Transactions …, 2023‏ - ieeexplore.ieee.org
The recent advancement in next-generation Consumer Electronics (CE) has created the
problems of information overload and information loss. The significance of Personalized …

Visual content privacy protection: A survey

R Zhao, Y Zhang, T Wang, W Wen, Y **ang… - ACM Computing …, 2025‏ - dl.acm.org
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 …