Results 61 to 70 of about 30,144 (206)

Citizen science deepens the ecological and climatic dimensions of mosquito surveillance

Ecography, EarlyView.
As mosquito‐borne diseases continue to expand worldwide, integrating citizen science into vector surveillance presents untapped potential. This study compares ecological models of Aedes albopictus, an invasive mosquito and global vector of dengue and other arboviruses, in Spain (2020–2022), using two contrasting data sources: traditional traps and ...
Catuxa Cerecedo‐Iglesias, John R. B. Palmer, Frederic Bartumeus   +2 more
wiley   +1 more source

Improved multi-target tracking algorithm based on SMC-CBMeMBer for the airborne Doppler radar

The Journal of Engineering, 2019
To effectively suppress clutter in airborne Doppler radar and improve multi-target tracking (MTT) performance, this study proposes an improved MTT algorithm based on Sequential Monte Carlo Cardinality Balanced Multi-target Multi-Bernoulli (SMC-CBMeMBer ...
Muyang Luo, Hemin Sun, Weihua Wu, Xin Xie, Surong Jiang   +4 more
doaj   +1 more source

A Novel MS-MeMBer Filter for Extended Targets Tracking

IEEE Access, 2020
Conventional multi-sensor multi-target multi-Bernoulli (MS-MeMBer) filters are based on the assumption that each target produces at most one measurement per time step.
Zhiguo Zhang, Jinping Sun, Qing Li, Chao Liu, Guanhua Ding   +4 more
doaj   +1 more source

Student’s t-Based Robust Poisson Multi-Bernoulli Mixture Filter under Heavy-Tailed Process and Measurement Noises

Remote Sensing, 2023
A novel Student’s t-based robust Poisson multi-Bernoulli mixture (PMBM) filter is proposed to effectively perform multi-target tracking under heavy-tailed process and measurement noises.
Jiangbo Zhu, Weixin Xie, Zongxiang Liu
doaj   +1 more source

Revolutionizing Healthcare With Paper‐Based Nucleic Acid Testing

Exploration, EarlyView.
This work summarizes strategies to enhance paper‐based devices for nucleic acid testing. Key approaches include optimizing paper platforms, improving nucleic acid amplification, and refining labeling/signaling methods. These advancements aim to boost sensitivity, speed, and usability, making paper‐based diagnostics more effective for point‐of‐care ...
Hong Zhang, Yi Yang, Heng Li, Xiaolin Hu, Hui Xiao, Dou Wang, Sergio Benardini, Wei Gu, Yang Luo   +8 more
wiley   +1 more source

Amplitude information based robust tracking method for multiple marine targets

Tongxin xuebao, 2019
A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed,in which the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood.Therefore,the proposed ...
Chao LIU, Zhiguo ZHANG, Jinping SUN
doaj   +2 more sources

Novel Bayesian Track-Before-Detection for Drones Based VB-Multi-Bernoulli Filter and a GIGM Implementation [PDF]

Radioengineering, 2020
Joint detection and tracking of drones is a challenging radar technology; especially estimating their states with unknown measurement variances. The Bayesian track-before-detect (TBD) approach is an efficient way to detect low observable targets. In this
I. M. Salim, M. Barbary, M. H. Abd El-azeem   +2 more
doaj  

Search and Passage Are Decoupled for Migrating Trout Kelts at Multi‐Exit Dam

River Research and Applications, EarlyView.
ABSTRACT Longitudinal and lateral river connectivity have been drastically reduced over time, with hydropower development as a major driver of fragmentation. While fishways are widely implemented to support upstream migration, downstream passage remains a major challenge.
Halvor Kjærås, Jon Museth, Finn Økland, Karl Øystein Gjelland, Henrik Baktoft, Torbjørn Forseth   +5 more
wiley   +1 more source

Multi-object tracking with an adaptive generalized labeled multi-Bernoulli filter

, 2022
The challenges in multi-object tracking mainly stem from the random variations in the cardinality and states of objects during the tracking process. Further, the information on locations where the objects appear, their detection probabilities, and the ...
TT Dat Nguyen (19334341), Diluka Moratuwage (19333693), CT Do (19334338), C Shim (19333933), YD Chung (19334188)   +4 more
core  

A high‐altitude thermal infrared method for estimating moose abundance and demography in Rocky Mountain National Park, USA

Wildlife Biology, EarlyView.
Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley   +1 more source