Results 161 to 170 of about 17,083 (265)

Painful Bilateral Necrosis of the Scalp

JEADV Clinical Practice, EarlyView.
Zoé Dumesnil, Manuel Croix, Anael Dumont, Kottler Diane, Mohamed‐Taha Tagmouti, Anne Dompmartin, Jean‐Matthieu L'Orphelin   +6 more
wiley   +1 more source

Spatial observation‐error correlations for AMSU‐A in all‐sky assimilation: An ECMWF and UK Met Office intercomparison

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt, Massimo Bonavita, Niels Bormann, Sarah L. Dance, Alison Fowler, Elías Hólm, Christopher J. Merchant, Jonathan Mittaz, Stuart Newman, Joanne Waller   +9 more
wiley   +1 more source

Ultrasonographic Features of Spiradenomas and Cylindromas as Diagnostic Clues in the Pre‐Therapeutic Setting

JEADV Clinical Practice, EarlyView.
Diana Crisan, Tina Weiss, Karin Scharffetter‐Kochanek, Yusef Sallum, Ioana‐Ancuta Ungureanu, Maria Crisan   +5 more
wiley   +1 more source

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo, Angela K. Rowe, Michael M. Bell, Wei‐Yu Chang   +3 more
wiley   +1 more source

DriveEmo-FL: in-cabin radar-based emotion sensing for autonomous vehicles smart response. [PDF]

Sci Rep
Imran N, Alnafisah KH, Zhang J, Hameed S, Ali J, Farooq W.   +5 more
europepmc   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Velocity and Angle Tracking of Fast Targets Using a Bandwidth-Coded Hybrid Chirp FMCW Radar. [PDF]

Sensors (Basel)
Gökdemir B, Dalveren Y, Kara A, Derawi M.   +3 more
europepmc   +1 more source

FLSea: Underwater Visual–Inertial and Stereovision Forward‐Looking Data Sets

Journal of Field Robotics, EarlyView.
ABSTRACT Visibility underwater is challenging and degrades as the distance between the subject and the camera increases. That is why forward‐looking underwater computer vision tasks are difficult. We have collected underwater forward‐looking stereovision and visual–inertial image sets using two underwater imaging platforms, a stereo camera rig, and an ...
Yelena Randall, Ori Lifschitz, Tali Treibitz   +2 more
wiley   +1 more source

Dumpsite Seabed Characterization of the San Pedro Basin, CA, From Autonomous Vehicle Observations

Journal of Field Robotics, EarlyView.
ABSTRACT A wide‐area seabed survey was conducted using autonomous underwater vehicles (AUVs) in a known dumpsite off the coast of Southern California that has been found to have widespread sediment contamination from the chemical dichlorodiphenyltrichloroethane (DDT).
Ryan A. McCarthy, Dylan Kriegman, Sophia T. Merrifield, Heidi Batchelor, Eric J. Terrill   +4 more
wiley   +1 more source