Results 211 to 220 of about 53,262 (302)

Using time‐series remote sensing to identify and track individual bird nests at large scales

Remote Sensing in Ecology and Conservation, EarlyView.
Time‐series airborne imagery can potentially track individuals over time to collect information beyond one‐off counts. Using weekly UAS‐based imagery of wading bird colonies, we develop an automated approach to identifying nests. Our algorithmic approach detected 68–74% of known nests and exhibited similar performance to human review of imagery ...
S. K. Morgan Ernest, Lindsey A. Garner, Ben G. Weinstein, Peter Frederick, Henry Senyondo, Glenda M. Yenni, Ethan P. White   +6 more
wiley   +1 more source

Reliability and reproducibility of the Kinvent K-push dynamometer for assessing quadriceps strength and force development in athletes and untrained individuals. [PDF]

Front Physiol
Trybulski R, Więckowski J, Muracki J, Matuszczyk F, Gałęziok K, Wilk M, Kużdżał A.   +6 more
europepmc   +1 more source

Using phenology to improve invasive plant detection in fine‐scale hyperspectral drone‐based images

Remote Sensing in Ecology and Conservation, EarlyView.
Using drone‐based hyperspectral images of mixed temperate successional forests collected over a growing season, detection algorithms were produced for three invasive species of interest, which are not only invasive in Virginia but also much of the U.S.: Ailanthus altissima (tree of heaven), Elaeagnus umbellata (autumn olive), and Rhamnus davurica ...
Kelsey S. Huelsman, Howard E. Epstein, Xi Yang, Roderick Walker   +3 more
wiley   +1 more source

Screen viewing patterns and their association with mental wellbeing and psychological distress: a cross-sectional study amongst university students. [PDF]

BMC Public Health
Chen M, Padmapriya N, Chua XH, Escobosa LLT, Tay AE, Tai BC, Petrunoff N, Müller-Riemenschneider F.   +7 more
europepmc   +1 more source

An autonomous network of acoustic detectors to map tiger risk by eavesdropping on prey alarm calls

Remote Sensing in Ecology and Conservation, EarlyView.
Tiger population recovery brings with it increased fatalities from human‐tiger conflict. We describe a network of autonomous intelligent passive acoustic sensors that monitor the forest for deer alarm calls as a proxy for tiger risk and provide a risk map to local communities in real‐time.
Arik Kershenbaum, Andrew Markham, Holly Root‐Gutteridge, Bethany Smith, Casey Anderson, Riley McClaughry, Ramjan Chaudhary, Amogh Vishwakarma, Stephen Cummins, Angela Dassow   +9 more
wiley   +1 more source

Innovative Technologies: Optimizing Nursing Practice. [PDF]

Comput Inform Nurs
Tiase VL, Martin CL, Bakker CJ, Fink SS, Gao G, Gopikrishnan AD, Lee MA, Lunt C, Taylor-Pearson K, Wyatt TH, Carroll WM.   +10 more
europepmc   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

Remote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin, Han‐Yang Yeh, Zhi‐Cheng Huang   +2 more
wiley   +1 more source

Artificial intelligence in revolutionizing orthodontic practice. [PDF]

World J Methodol
Fawaz P, El Sayegh P, Vande Vannet B.
europepmc   +1 more source

How AI and Digital Technologies Can Enhance Sustainable Livestock Manure Management: An Overview From Treatment to Distribution

Sustainable Development, EarlyView.
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi, Feihong Liang, Francesco Marinello, Andrea Pezzuolo   +3 more
wiley   +1 more source

The Prevalence of Computer Vision Syndrome Among Medical Students in Syria: A National Cross-Sectional Study. [PDF]

Health Sci Rep
Alhouri HN, Alhouri AN, Aldayeh L, Asaad SHA, Alashik Z, Torbey A, Zahrawi H, Arrouk DMN, Badran M, Shammout M, Abdalaal NZ, Koudsi A.   +11 more
europepmc   +1 more source