Results 51 to 60 of about 9,977 (122)

Semi-Supervised Learning for Time-Series Segmentation in Equine Gait Event Detection

IEEE Access
Locomotor injuries in horses impair both welfare and performance. Traditional visual assessments of equine locomotion by veterinarians are inherently subjective.
Mahaut Gerard, Guillaume Dubois, Sandrine Hanne-Poujade, Camille Hebert, Henry Chateau, Neila Mezghani   +5 more
doaj   +1 more source

GobhiSet: Dataset of raw, manually, and automatically annotated RGB images across phenology of Brassica oleracea var. Botrytis

Data in Brief
This research introduces an extensive dataset of unprocessed aerial RGB images and orthomosaics of Brassica oleracea crops, captured via a DJI Phantom 4.
Shubham Rana, Mariano Crimaldi, Domenico Barretta, Petronia Carillo, Valerio Cirillo, Albino Maggio, Fabrizio Sarghini, Salvatore Gerbino   +7 more
doaj   +1 more source

Health & Gait: a dataset for gait-based analysis

Scientific Data
Acquiring gait metrics and anthropometric data is crucial for evaluating an individual’s physical status. Automating this assessment process alleviates the burden on healthcare professionals and accelerates patient monitoring.
Jorge Zafra-Palma, Nuria Marín-Jiménez, José Castro-Piñero, Magdalena Cuenca-García, Rafael Muñoz-Salinas, Manuel J. Marín-Jiménez   +5 more
doaj   +1 more source

Automated Implementation of the Edinburgh Visual Gait Score (EVGS)

Sensors
The Edinburgh Visual Gait Score (EVGS) is a commonly used clinical scale for assessing gait abnormalities, providing insight into diagnosis and treatment planning. However, its manual implementation is resource-intensive and requires time, expertise, and
Ishaasamyuktha Somasundaram, Albert Tu, Ramiro Olleac, Natalie Baddour, Edward D. Lemaire   +4 more
doaj   +1 more source

Synchrotron-based 3D X-ray computed tomography reveals root system architecture: Plastic responses to phosphorus placement

Geoderma
We used synchrotron-based X-ray computed tomography (SRXCT) to visualize root distribution in soil cores. X-ray CT is emerging as a leading technique to study plant roots, but SRXCT offers potential advantages compared with conventional X-ray sources ...
Frederik J.T. van der Bom, Philipp D. Lösel, Andrew M. Kingston, Zhe H. Weng, Nelly S. Raymond, Anton Maksimenko, Daniel Hausermann, Michael J. Bell, Casey L. Doolette, Enzo Lombi, Peter M. Kopittke   +10 more
doaj   +1 more source

Extracting Duckweed/Algal Bloom-Type Black–Odorous Waters from Remote Sensing Images Based on SwinTf-Unet Model

ISPRS International Journal of Geo-Information
Duckweed/algal bloom-type black–odorous waters (DAWs) exhibit composite optical properties of vegetation and pollution, posing intractable remote sensing identification challenges in complex environments.
Jingtao Sun, Chenyang Li, Lijun Zhang
doaj   +1 more source

Advanced Persistent Threats and Wireless Local Area Network Security: An In-Depth Exploration of Attack Surfaces and Mitigation Techniques

Journal of Cybersecurity and Privacy
Wireless Local Area Networks (WLANs), particularly Wi-Fi, serve as the backbone of modern connectivity, supporting billions of devices globally and forming a critical component in Internet of Things (IoT) ecosystems.
Hosam Alamleh, Laura Estremera, Shadman Sakib Arnob, Ali Abdullah S. AlQahtani   +3 more
doaj   +1 more source

D2CBDAMAttUnet: Dual-Decoder Convolution Block Dual Attention Unet for Accurate Retinal Vessel Segmentation From Fundus Images

IEEE Access
Gathering detailed morphological information from retinal blood vessels is crucial in clinical diagnostics, enabling doctors to make precise assessments of patient conditions and to devise custom treatments.
Vo Trong Quang Huy, Chih-Min Lin
doaj   +1 more source

Automatic Segmentation of Walking Strides in Wearable Accelerometry Data with Adaptive Empirical Pattern Transformation

Medicine & Science in Sports & Exercise, 2019
Jacek K. Urbanek, Marta Karas, William Fadel, Marcin Straczkiewicz, Jaroslaw Harezlak, Ciprian Crainiceanu   +5 more
openaire   +2 more sources

A Physics-Data Hybrid Framework Using Uncalibrated Consumer CMOS Vision: Pilot Study on Monocular Automatic TUG Assessment Towards Early Parkinson's Disease Risk Screening. [PDF]

Micromachines (Basel)
Qiu Y, Sun X, Yang F, Fastier-Wooller J, Muramatsu S, Yamamoto M, Itoh T.   +6 more
europepmc   +1 more source