Results 221 to 230 of about 2,420,038 (307)

Structuring light with flows. [PDF]

Nat Commun
Yan W, Yuan Z, Gao Y, Chen Z, Ren ZC, Wang XL, Ding J, Wang HT.   +7 more
europepmc   +1 more source

Formation Control With Obstacle Avoidance of Underwater Swarms Based on Relative Visual Feedback

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater multi‐robot and swarm systems require advanced methodologies for controlling collective behavior. Conventional single‐robot techniques, such as tethering, sonar imaging, and acoustic localization, are not scalable or effective for swarm applications.
Andrea Infanti, Saverio Iacoponi, Saif Alameri, Mohamed El Hanbaly, Mohammed Tarnini, Cesare Stefanini, Giulia De Masi, Federico Renda   +7 more
wiley   +1 more source

An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction. [PDF]

Nat Commun
Moayed Baharlou S, Khalid MW, Gulinihali G, Ha J, Hsu L, Lewis SC, Tian L, Fainman Y, Sergienko AV, Ndao A.   +9 more
europepmc   +1 more source

Robotics for Crop Pollination: Recent Advances and Future Direction

Journal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota, Matthew D. Whiting, Dawood Ahmed, Manoj Karkee   +3 more
wiley   +1 more source

A study on turbulence characteristics of a rectangular three-dimensional wall jet in a confined space using particle image velocimetry. [PDF]

PLoS One
Zhang X, Liu H.
europepmc   +1 more source

Study of the atmospheric turbulence in free space optical communications [PDF]

, 2009
Ghassemlooy, Zabih, Popoola, Wasiu Oyewole, Fan, Z., Wu, Shan, Ijaz, Muhammad   +4 more
core  

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

River Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Highly localized droplet clustering in shallow cumulus clouds. [PDF]

Proc Natl Acad Sci U S A
Thiede B, Larsen ML, Nordsiek F, Schlenczek O, Kim Y, Bodenschatz E, Bagheri G.   +6 more
europepmc   +1 more source

Validation of a Particle Image Velocimetry Algorithm Through Comparative Field and Laboratory Analysis

River Research and Applications, EarlyView.
ABSTRACT Flow velocity measurement is fundamental to hydrological and hydraulic studies, providing essential data for streamflow estimation and river dynamics analysis. Traditional in situ methods like propeller gauges and acoustic Doppler current profilers are accurate but intrusive and labour‐intensive, while non‐intrusive image processing methods ...
Ghazaleh Nassaji Matin, Gareth Bradbury, Alan Puttock, Kirsty Frith, Diego Panici   +4 more
wiley   +1 more source