Results 111 to 120 of about 287,687 (294)

A Comparison of RBF Neural Network Training Algorithms for Inertial Sensor Based Terrain Classification

open access: yesSensors, 2009
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]

open access: yes
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

Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance

open access: yes, 2017
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

Pediatric Climbers Experience More Upper Extremity Injuries, Geriatric Climbers More Lower Extremity Injuries, and Increased Shoulder Trauma Associated With Male Individuals in an Emergency Department Analysis of Rock Climbing–Associated Musculoskeletal Injuries

open access: yesArthroscopy, Sports Medicine, and Rehabilitation, EarlyView.
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

A method to integrate hydraulic structure models into 3D terrain models for irrigation infrastructure visualization

open access: yesScientific Reports
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]

open access: yes
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]

open access: yes, 2011
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

open access: yes, 2018
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

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
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]

open access: yes
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

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