Results 51 to 60 of about 602,867 (155)
Tracking Multiple Targets from Multistatic Doppler Radar with Unknown Probability of Detection
Sensors, 2019 The measurements from multistatic radar systems are typically subjected to complicated data association, noise corruption, missed detection, and false alarms.
Cong-Thanh Do, Hoa Van Nguyen
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Multitarget Search Algorithm Using Swarm Robots in an Unknown 3D Mountain Environment
Applied Sciences, 2023 A multitarget search algorithm for swarm robot in an unknown 3D mountain environment is proposed. Most existing 3D environment obstacle avoidance algorithms are potential field methods, which need to consider the location information of all obstacles ...
You Zhou +3 more
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Advanced Science, EarlyView.ABSTRACT Diabetic stroke is characterized by a hyperglycemic and pro‐inflammatory microenvironment that exacerbates neurovascular dysfunction. However, the blood–brain barrier (BBB) remains a formidable obstacle, restricting the delivery of most therapeutic molecules.
Bixin Shen +7 more
wiley +1 more source
Toward Real-Time UAV Multi-Target Tracking Using Joint Detection and Tracking
IEEE Access, 2023 Multiple object tracking (MOT) of unmanned aerial vehicle (UAV) systems is essential for both defense and civilian applications. As drone technology moves towards real-time, conventional tracking algorithms cannot be directly applied to UAV videos due to
Tinnakorn Keawboontan +1 more
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Computational Intelligence Accelerates CRISPR‐Cas‐Based Diagnostic Design
iLABMED, EarlyView.Computational intelligence, including pangenome‐guided target mining, machine‐learning‐based guide RNA optimization, and autonomous AI agents, is shifting CRISPR diagnostic design from empirical screening to systematic, data‐driven engineering and accelerating the path from pathogen discovery to deployable diagnostics.
Hengyu Wang +3 more
wiley +1 more source
, 1995 Tracking Systems provide an important analysis technique that can be used in many different areas of science. A Tracking System can be defined as the estimation of the dynamic state of moving objects based on 'inaccurate’ measurements taken by sensors ...
Hulot, Carlos
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Multiple Human Tracking Using Particle Filter with Gaussian Process Dynamical Model
EURASIP Journal on Image and Video Processing, 2008 We present a particle filter-based multitarget tracking method incorporating Gaussian process dynamical model (GPDM) to improve robustness in multitarget tracking.
Hong Man, Yafeng Yin, Jing Wang
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Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
, 2013 The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
Mihaylova, Lyudmila +3 more
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Distributed Multitarget Tracking Based on Diffusion Strategies Over Sensor Networks
IEEE Access, 2019 We consider the distributed multitarget tracking over sensor networks, where each node only communicates with its neighbors. We develop a diffusion-based distributed multisensor multitarget tracking algorithm.
Yihua Yu, Yuan Liang
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iMeta, EarlyView.The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li +29 more
wiley +1 more source