Rebooting data-driven soft-sensors in process industries: A review of kernel methods

Y Liu, M **e - Journal of Process Control, 2020 - Elsevier
Soft-sensors usually assist in dealing with the unavailability of hardware sensors in process
industries, thus allowing for less fault occurrence and better control performance. However …

Evolution of surgical robot systems enhanced by artificial intelligence: A review

Y Liu, X Wu, Y Sang, C Zhao, Y Wang… - Advanced Intelligent …, 2024 - Wiley Online Library
Surgical robot systems (SRS) represent an innovative cross‐disciplinary research field using
robotic technology to assist surgeons in operations. Current bottlenecks in SRS, such as the …

Data-driven excavation trajectory planning for unmanned mining excavator

T Zhang, T Fu, T Ni, H Yue, Y Wang, X Song - Automation in Construction, 2024 - Elsevier
In autonomous mining scenarios, excavation trajectory planning plays a significant role
since it considerably influences the working performance of the unmanned mining excavator …

TTSA: An effective scheduling approach for delay bounded tasks in hybrid clouds

H Yuan, J Bi, W Tan, MC Zhou… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
The economy of scale provided by cloud attracts a growing number of organizations and
industrial companies to deploy their applications in cloud data centers (CDCs) and to …

Personalized variable gain control with tremor attenuation for robot teleoperation

C Yang, J Luo, Y Pan, Z Liu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Teleoperated robot systems are able to support humans to accomplish their tasks in many
applications. However, the performance of teleoperation largely depends on motor …

[HTML][HTML] A systematic review of artificial intelligence applications in plastic surgery: looking to the future

DL Spoer, JM Kiene, PK Dekker… - … Surgery–Global Open, 2022 - journals.lww.com
Background: Artificial intelligence (AI) is presently employed in several medical specialties,
particularly those that rely on large quantities of standardized data. The integration of AI in …

Saturated Nussbaum function based approach for robotic systems with unknown actuator dynamics

C Chen, Z Liu, Y Zhang, CLP Chen… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper presents a saturated Nussbaum function based approach for robotic systems
with unknown actuator dynamics. To eliminate the effect of the control shock from the …

A tremor suppression and noise removal algorithm for microscopic robot-assisted cataract surgery

GB Bian, J Wang, P Fu, BT Wei… - … /ASME Transactions on …, 2023 - ieeexplore.ieee.org
Ophthalmic surgery consists of a series of precise manipulations performed using a surgical
microscope. A surgical robot with a master–slave paradigm is commonly adopted to improve …

A deep explainable artificial intelligent framework for neurological disorders discrimination

S Shahtalebi, SF Atashzar, RV Patel, MS Jog… - Scientific reports, 2021 - nature.com
Pathological hand tremor (PHT) is a common symptom of Parkinson's disease (PD) and
essential tremor (ET), which affects manual targeting, motor coordination, and movement …

Broad learning extreme learning machine for forecasting and eliminating tremors in teleoperation

Q Yang, K Liang, T Su, K Geng, M Pan - Applied Soft Computing, 2021 - Elsevier
Unwanted errors caused by hand tremors are a bottleneck for the application of
teleoperation robots in space explorations, underwater explorations, and minimally invasive …