Výsledky vyhledávání - "Yehudit Aperstein"

Akademický článek

Comparative Analysis of CNN Architectures and Loss Functions on Age Estimation of Archaeological Artifacts

Autor: Sharon Yalov-Handzel, Ido Cohen, Yehudit Aperstein

Publikováno v: Journal of Computer Applications in Archaeology, Vol 7, Iss 1, Pp 185–194-185–194 (2024)

Automated age estimation of archaeological artifacts is crucial for categorization and dating, yet challenging due to variations in characteristics, degradation, and limited chronological information. This study investigates the performance of Convol

Externí odkaz: https://doaj.org/article/69e69a403ee244a59e995b9b9183a6a2

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Akademický článek

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization

Autor: Assaf Lahiany, Yehudit Aperstein

Publikováno v: IEEE Access, Vol 10, Pp 69680-69687 (2022)

For many practical applications, a high computational cost of inference over deep network architectures might be unacceptable. A small degradation in the overall inference accuracy might be a reasonable price to pay for a significant reduction in the

Externí odkaz: https://doaj.org/article/f266ee5eb4bc46b083cc838b09b9bd6f

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Akademický článek

Improved ICU mortality prediction based on SOFA scores and gastrointestinal parameters.

Autor: Yehudit Aperstein, Lidor Cohen, Itai Bendavid, Jonathan Cohen, Elad Grozovsky, Tammy Rotem, Pierre Singer

Publikováno v: PLoS ONE, Vol 14, Iss 9, p e0222599 (2019)

BACKGROUND:The Sequential Organ Failure Assessment (SOFA) score is commonly used in ICUs around the world, designed to assess the severity of the patient's clinical state based on function/dysfunction of six major organ systems. The goal of this work

Externí odkaz: https://doaj.org/article/f6732cd14fdf46b39a74c88b8593fa5e

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Helicopter Bolt Loosening Monitoring using Vibrations and Machine Learning

Autor: Eli Gildish, Michael Grebshtein, Yehudit Aperstein, Alex Kushnirski, Igor Makienko

Publikováno v: PHM Society European Conference. 7:146-155

The existing helicopter Health and Usage Management Systems (HUMS) collect and process flight operational parameters and sensors data such as vibrations to provide health monitoring of the helicopter dynamic assemblies and engines. So far, structure-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c7628276b1f0d22298c5fb4d0c4be2c
https://doi.org/10.36001/phme.2022.v7i1.3322

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Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction

Autor: Pierre Singer, Yehudit Aperstein, Tammy Rotem, Eli Bloch, Jonathan Cohen

Publikováno v: Journal of Healthcare Engineering, Vol 2019 (2019)
Journal of Healthcare Engineering

Objective. Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cac63910043382254914a1cf110f6dad
https://doi.org/10.1155/2019/5930379

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