Results 61 to 70 of about 3,368,666 (282)
Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg +19 more
wiley +1 more source
Asymmetrical Gating with Application on Maneuvering Target Tracking [PDF]
A new asymmetrical gate with application in target tracking is proposed. Proposed gate has asymmetric shape that has large probability of target detection in the gate and has more advantages compared with elliptical gate. The gate is defined as the region in which the tracked target is expected to exist and just observation vectors in the gate are used
openaire +3 more sources
Tracking an Underwater Maneuvering Target Using an Adaptive Kalman Filter
To improve the tracking accuracy of an underwater maneuvering target, according to its characteristics of low speed and weak maneuvering performance, an adaptive Kalman filter is given based on the online estimation of the process noise variance.
Li W(李为) +3 more
core
MOF‐Derived Cu‐TiO2/Alginate Micromotors for Buoyancy‐Regulated 3D Motion
In this work, cyanobacteria‐inspired sodium alginate (SA)/Cu‐TiO2/Fe3O4 hydrogel micromotors generate and encapsulate O2 microvesicles upon light irradiation, enabling buoyancy‐mediated Z‐axis upward migration and surface enrichment at the light‐exposed water‐air surface.
Wei Zou +7 more
wiley +1 more source
An Improved IMM Algorithm Based on STSRCKF for Maneuvering Target Tracking
To overcome the IMM algorithm is easy divergence and low tracking accuracy when dealing with complex maneuvering situations, this paper proposes an improved interactive multiple model strong tracking square room cubature Kalman filter (IIMM-STSRCKF ...
Bo Han +4 more
doaj +1 more source
THE IMPROVED IMM TRACKING ALGORITHM FOR HIGH-SPEED MANEUVERING TARGET
This paper proposes an improved interacting multi-model (IMM) tracking algorithm based on the adaptive Markov transition probability matrix, which can be utilized in ra-dar systems for high-speed maneuvering target tracking.
Bi X(毕欣) +3 more
core
An Expertise Transfer Framework For Autonomous Surgical Assistance
This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
The IMM tracking algorithm for maneuvering target with adaptive Markov transition probability matrix
This paper proposes an interacting multi-model (IMM) tracking algorithm based on the adaptive Markov transition probability matrix, which can be utilized in radar systems for maneuvering target tracking. The algorithm constructs likelihood ratio function
Bi X(毕欣) +4 more
core
Field‐driven active colloids are framed as distributed micromachines in which externally supplied power, sensing, and control regulate task‐relevant states. By closing the loop between particle behavior, imaging, computation, and electric or magnetic actuation, these systems can progress from programmable motion toward adaptive functional outcomes ...
Ruchi Patel, Bhuvnesh Bharti
wiley +1 more source
AI‐generated anatomical highlighting improved surgeons' recognition of actual ureteral injuries during laparoscopic colorectal surgery, including recognition within predefined injury time‐code windows. No significant overall improvement was observed for pancreatic injury, and incorrect adverse‐event judgments did not increase in no‐injury videos. These
Shunjin Ryu +9 more
wiley +1 more source

