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Rebooting data-driven soft-sensors in process industries: A review of kernel methods
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 …
industries, thus allowing for less fault occurrence and better control performance. However …
Evolution of surgical robot systems enhanced by artificial intelligence: A review
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 …
robotic technology to assist surgeons in operations. Current bottlenecks in SRS, such as the …
Data-driven excavation trajectory planning for unmanned mining excavator
In autonomous mining scenarios, excavation trajectory planning plays a significant role
since it considerably influences the working performance of the unmanned mining excavator …
since it considerably influences the working performance of the unmanned mining excavator …
TTSA: An effective scheduling approach for delay bounded tasks in hybrid clouds
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 …
industrial companies to deploy their applications in cloud data centers (CDCs) and to …
Personalized variable gain control with tremor attenuation for robot teleoperation
Teleoperated robot systems are able to support humans to accomplish their tasks in many
applications. However, the performance of teleoperation largely depends on motor …
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 …
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
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 …
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 …
microscope. A surgical robot with a master–slave paradigm is commonly adopted to improve …
A deep explainable artificial intelligent framework for neurological disorders discrimination
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 …
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 …
teleoperation robots in space explorations, underwater explorations, and minimally invasive …