Results 101 to 110 of about 693,331 (253)

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Adaptive Collision Sensitivity for Efficient and Safe Human–Robot Collaboration

Advanced Intelligent Systems, EarlyView.
An adaptive collision‐sensitivity framework uses each robot link's effective mass to estimate contact forces online and decide when collaborative robots should stop or continue. Tested on simulated and real UR10e and simulated KUKA arms, it maintains conservative force estimates while reducing unnecessary stops and increasing task productivity. What is
Lukas Rustler, Matej Misar, Matej Hoffmann   +2 more
wiley   +1 more source

Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton

Advanced Intelligent Systems, EarlyView.
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir, Lorenzo Grazi, Simone Prisinzano, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea   +6 more
wiley   +1 more source

Fetal Movement Detection Dataset Recorded Using MPU9250 Tri-Axial Accelerometer

Experimental paradigmThis data set consists of Tri-axial accelerometer measurements of fetal movement from 13 subjects. This data set consists of three different classes, namely mother’s laugh (class 1), mother’s respiratory movements (class 2) and fetal
Delay, U
core   +2 more sources

Pediatric densitometry: is the Z score adjustment necessary in all cases?

Frontiers in Endocrinology
BackgroundThe International Society for Clinical Densitometry recommends adjusting the bone mineral density (BMD) Z-score in children with short stature or growth delay. However, it is not clear whether height-for-age Z-score (HAZ) adjustment is required
Berta Magallares, Berta Magallares, Berta Magallares, Berta Magallares, Jorge Malouf, Helena Codes-Méndez, Helena Codes-Méndez, Hye Sang Park, Hye Sang Park, Hye Sang Park, Jocelyn Betancourt, Jocelyn Betancourt, Gloria Fraga, Gloria Fraga, Estefanía Quesada-Masachs, Estefanía Quesada-Masachs, Mireia López-Corbeto, Montserrat Torrent, Ana Marín, Silvia Herrera, Silvia Herrera, Ignasi Gich, Ignasi Gich, Ignasi Gich, Susana Boronat, Susana Boronat, Jordi Casademont, Jordi Casademont, Jordi Casademont, Hector Corominas, Hector Corominas, Hector Corominas, Dacia Cerdá   +32 more
doaj   +1 more source

A Multidimensional Perspective on Network Conditions in Telesurgery

Advanced Intelligent Systems, EarlyView.
A multidimensional framework systematically evaluates how combined network impairments influence telesurgical performance. By jointly analyzing latency, jitter, bandwidth, and packet loss, the proposed methodology identifies relevant network condition parameters and their interactions, supporting the design of reliable and safe telesurgical systems ...
Florian Heemeyer, Marco Cina, Ege Cem Kirci, Laurent Vanbever, Quentin Boehler   +4 more
wiley   +1 more source

Stability implications of delay distribution for first-order and second-order systems [PDF]

, 2009
In application areas, such as biology, physics and engineering, delays arise naturally because of the time it takes for the system to react to internal or external events.
Gabor Kiss, Bernd Krauskopf, Kiss, G, Krauskopf, B   +3 more
core  

Expanded Phenotype Associated With an Intronic PPP1R12A Variant: A Case Report and Literature Review

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Autosomal dominant PPP1R12A‐related genitourinary and/or brain malformation syndrome is a recently described multisystem disorder caused by loss‐of‐function variants in the protein phosphatase 1 regulatory subunit 12a (PPP1R12A) gene. To date, 22 affected individuals have been reported with variable brain malformations and genitourinary ...
Emily M. Bland, Amber Nakar Weinstein, Eric C. Kao, Xiaonan Zhao, Monika Weisz‐Hubshman   +4 more
wiley   +1 more source

Assessment of Growth in Cardio‐Facio‐Cutaneous Syndrome

American Journal of Medical Genetics Part A, EarlyView.
ABSTRACT Cardio‐facio‐cutaneous (CFC) syndrome is a rare, multiple congenital anomaly disorder in which individuals commonly experience faltering growth; however, systematic analysis of growth parameters in this disorder has not been performed. We recruited 69 participants with CFC through CFC International and collected data on assessing height ...
Kari Johnston, Sandesh C. S. Nagamani, Bradley S. Miller, Katherine A. Rauen, Richard D. Boyce, Salma Musaad, Pilar L. Magoulas   +6 more
wiley   +1 more source