Results 111 to 120 of about 287,687 (294)
This paper introduces a comparison of training algorithms of radial basis function (RBF) neural networks for classification purposes. RBF networks provide effective solutions in many science and engineering fields.
Erkan Beşdok, Tuba Kurban
doaj +1 more source
Delineation of soil temperature regimes from HCMM data [PDF]
Evaluation of LANDSAT and Heat Capacity Mapping Mission (HCMM) data as input into National Cooperative Soil Survey is discussed. Signature classification techniques were applied to 13 May 76 LANDSAT data.
Day, R. L., Petersen, G. W.
core +1 more source
In this letter, we propose a novel technique for obtaining scattering components from Polarimetric Synthetic Aperture Radar (PolSAR) data using the geodesic distance on the unit sphere.
Bhattacharya, Avik +2 more
core +1 more source
Purpose To analyze epidemiologic trends, injury prevalence, and mechanisms of injury associated with rock climbing. Methods The National Electronic Injury Surveillance System, a public emergency department database, was queried for rock climbing–related injuries from 2014 to 2023. Data extracted included demographics, anatomic region injured, diagnosis,
Titan Z. Alexio +6 more
wiley +1 more source
Seamless integration of three-dimensional (3D) terrain models and hydraulic structure models is a technical challenge in the construction of 3D virtual scenes for irrigation areas.
Liang He +4 more
doaj +1 more source
Comparative assessment of LANDSAT-D MSS and TM data quality for mapping applications in the Southeast [PDF]
Rectifications of multispectral scanner and thematic mapper data sets for full and subscene areas, analyses of planimetric errors, assessments of the number and distribution of ground control points required to minimize errors, and factors contributing ...
core +1 more source
The body as a reservoir: locomotion and sensing with linear feedback [PDF]
It is known that mass-spring nets have computational power and can be trained to reproduce oscillating patterns. In this work, we extend this idea to locomotion and sensing. We simulate systems made out of bars and springs and show that stable gaits can
Caluwaerts, Ken, Schrauwen, Benjamin
core
Learning Image-Conditioned Dynamics Models for Control of Under-actuated Legged Millirobots
Millirobots are a promising robotic platform for many applications due to their small size and low manufacturing costs. Legged millirobots, in particular, can provide increased mobility in complex environments and improved scaling of obstacles.
Asmar, Thomas +6 more
core +1 more source
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley +1 more source
A method for classification of multisource data using interval-valued probabilities and its application to HIRIS data [PDF]
A method of classifying multisource data in remote sensing is presented. The proposed method considers each data source as an information source providing a body of evidence, represents statistical evidence by interval-valued probabilities, and uses ...
Kim, H., Swain, P. H.
core +1 more source

