Results 171 to 180 of about 15,305 (254)
Low‐Profile, High‐Gain GRIN RF Lenses via Multi‐Material Vat Photopolymerization
Advanced Functional Materials, Volume 36, Issue 53, 2 July 2026.We investigate the opportunity of leveraging multi‐material vat photopolymerization printing to manufacture intricate lenses exhibiting permittivity gradients that can increase signal gain in transmitted radiofrequency signals in the X‐ and Ku‐bands. Lenses produced with more distinct low‐loss materials (up to 5) can deliver an 18 dB signal gain with a
Lawrence Romangsuriat +3 more
wiley +1 more source
The running kinematics of free-roaming giraffes, measured using a low cost unmanned aerial vehicle (UAV). [PDF]
PeerJ, 2019 Basu CK +3 more
europepmc +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, Volume 38, Issue 40, 17 July 2026.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
A fully convolutional network for weed mapping of unmanned aerial vehicle (UAV) imagery. [PDF]
PLoS One, 2018 Huang H +5 more
europepmc +1 more source
Advanced Science, Volume 13, Issue 37, 3 July 2026.The pholidota‐inspired electronic skin is successfully constructed, originally realized four‐state reversible switching of terahertz‐wave reflection, absorption, transmission, and secondary reflection. In response to external demands, it issues deformation instructions, verifies the deformation state after the equipment executes the action, and thus ...
Shangjing Li +4 more
wiley +1 more source
Agronomy Journal, Volume 118, Issue 4, July/August 2026.Abstract Efficient weed management in commercial forestry requires reliable methods for distinguishing crop seedlings from competing vegetation during early plantation establishment. This study aimed to identify spectral wavelength ranges suitable for discriminating weeds from Eucalyptus saligna in young forest plantations.
Pablo Fernandes +5 more
wiley +1 more source
Integrated Satellite, Unmanned Aerial Vehicle (UAV) and Ground Inversion of the SPAD of Winter Wheat in the Reviving Stage. [PDF]
Sensors (Basel), 2019 Zhang S +6 more
europepmc +1 more source
Unmanned Aerial Vehicles (UAVs) - the Future of Aerial Battlefield?
The Polish Journal of Aviation Medicine and Psychology, 2015 openaire +1 more source
Agronomy Journal, Volume 118, Issue 4, July/August 2026.Abstract Verticillium wilt, caused by Verticillium dahliae, poses a major threat to cotton production worldwide. This study presents a framework for predicting Verticillium wilt incidence across multiple cotton fields by combining Sentinel‐2 imagery, preseason inoculum, and weather variables with machine learning models.
Abhasha Joshi +4 more
wiley +1 more source
Computer Vision for Monitoring Wild Bees and Wasps: A Structured Literature Review
Ecology and Evolution, Volume 16, Issue 7, July 2026.This review surveys recent (2020–2026) computer vision research on automated monitoring of wild bees and wasps, covering tasks such as species detection, habitat observation, and behavior analysis. It analyzes datasets, public resources, hardware, and software development.
Chenchang Liu +2 more
wiley +1 more source