Results 61 to 70 of about 1,092,892 (308)
Mechanisms of parasite‐mediated disruption of brain vessels
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
Extremal optimization for sensor report pre-processing
We describe the recently introduced extremal optimization algorithm and apply it to target detection and association problems arising in pre-processing for multi-target tracking.
Svenson, Pontus
core +2 more sources
Multi-target tracking algorithm based on PHD filter against multi-range-false-target jamming
Multi-range-false-target (MRFT) jamming is particularly challenging for tracking radar due to the dense clutter and the repeated multiple false targets. The conventional association-based multi-target tracking (MTT) methods suffer from high computational
Chen Tian, Y. Pei, Peng Hou, Zhao Qian
semanticscholar +1 more source
Multisensor Multi-target Tracking
n a normal multitarget tracking (MTT) situation,the sensor state is either accepted known, or following is acted inthe sensor’s (relative) organize outline. This supposition doesn’thold when the sensor, e.g., a car radar, is mounted on a vehicle,and the objective state ought to be spoken to in a worldwide(outright) organize ...
openaire +2 more sources
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
Multi-Bernoulli Sensor-Control via Minimization of Expected Estimation Errors
This paper presents a sensor-control method for choosing the best next state of the sensor(s), that provide(s) accurate estimation results in a multi-target tracking application.
Bab-Hadiashar, Alireza +2 more
core +1 more source
A multi-target tracking algorithm based on Gaussian mixture model
Since the joint probabilistic data association (JPDA) algorithm results in calculation explosion with the increasing number of targets, a multi-target tracking algorithm based on Gaussian mixture model (GMM) clustering is proposed.
S. Lili, C. Yunhe, Wenhua Wu, Li Yutao
semanticscholar +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
A Multi-cut Formulation for Joint Segmentation and Tracking of Multiple Objects
Recently, Minimum Cost Multicut Formulations have been proposed and proven to be successful in both motion trajectory segmentation and multi-target tracking scenarios.
Andres, Bjoern +5 more
core +1 more source
Distributed data association for multi-target tracking in sensor networks [PDF]
Associating sensor measurements with target tracks is a fundamental and challenging problem in multi-target tracking. The problem is even more challenging in the context of sensor networks, since association is coupled across the network, yet ...
Cetin, Mujdat +3 more
core +1 more source

