Results 151 to 160 of about 976,741 (266)

Integrating machine learning, deep learning, and image analysis for seed species classification

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth   +6 more
wiley   +1 more source

Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors. [PDF]

open access: yesSensors (Basel), 2021
Khaloufi H   +6 more
europepmc   +1 more source

BarnebyLives: An R package to create herbarium specimen labels and clean spreadsheets

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Accessioning herbarium specimens is labor intensive, yet remains vital for research in ecology, evolution, and conservation. As institutional support for herbaria declines, efficient tools are needed to streamline this process. The R package BarnebyLives was developed to assist collectors by supplementing collection notes, verifying ...
Reed Clark Benkendorf, Jeremie B. Fant
wiley   +1 more source

Behavioral Incentives for Exercise and Intra‐Articular Glucocorticoids for Knee Osteoarthritis: Results From a Factorially Designed Pragmatic Randomized Clinical Trial

open access: yesArthritis &Rheumatology, EarlyView.
Objective The purpose of this study was to determine the benefit of a behaviorally designed incentive program and glucocorticoid injections in reducing symptoms and promoting physical activity in patients with knee osteoarthritis (KOA). Methods This was a pragmatic, multisite, factorially designed, blinded, randomized clinical trial.
Joshua F. Baker   +17 more
wiley   +1 more source

Machine Learning-Based Assessment of Parkinson's Disease Symptoms Using Wearable and Smartphone Sensors. [PDF]

open access: yesSensors (Basel)
Gutowski T   +8 more
europepmc   +1 more source

Integrating collaborative virtual reality into medical neuroanatomy selectively enhances short‐term spatial understanding of brain structure

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Learning neuroanatomy presents a major challenge for medical students due to the brain's high spatial complexity and the limitations of traditional two‐dimensional instruction methods. Virtual reality (VR) provides immersive three‐dimensional visualization which may enhance spatial understanding, yet its effectiveness when implemented ...
Michal Bernstein‐Eliav   +5 more
wiley   +1 more source

Dissecting the dissection laboratory: Elements for designing a human anatomy laboratory

open access: yesAnatomical Sciences Education, EarlyView.
Abstract The human anatomy dissection laboratory is a critical component of anatomical and medical education. Development, maintenance, and stocking of these laboratory spaces have unique demands, with all of the challenges in running a laboratory with Biosafety Laboratory Level 2 (BSL‐2) classification, housing a large volume of tissues saturated with
Rhiannon E. Robinson   +13 more
wiley   +1 more source

Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review. [PDF]

open access: yesSci Data
Khandakar A   +9 more
europepmc   +1 more source

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