Results 121 to 130 of about 16,556,741 (301)

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression

Scientific Reports
Recently, dementia research has primarily concentrated on using Magnetic Resonance Imaging (MRI) to develop learning models in processing and analyzing brain data.
Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy   +3 more
doaj   +1 more source

Affecting the Properties of Copper–Graphene Electroconductive Composite by Severe Plastic Deformation

Advanced Engineering Materials, EarlyView.
Copper‐based composites enhanced with carbon feature convenient mechanical properties and favorable electric conductivity. Processing via deformation and thermomechanical treatments can introduce advantageous microstructures further enhancing their performance. Herein, copper–graphene powder‐based composites are directly consolidated via rotary swaging
Radim Kocich, Lenka Kunčická, Pavel Czernek, Zifan Wang   +3 more
wiley   +1 more source

Biodegradable and Biocompatible Functional Polymers for Biomedical Applications

Advanced Functional Materials, EarlyView.
Biodegradable and biocompatible functional polymers integrate electrical, mechanical, and stimuli‐responsive functionalities while enabling programmed degradation under physiological conditions. This review introduces recent advances in conductive, shape‐memory, self‐healing, photocurable, and adhesive polymer systems, emphasizing material design ...
Won Bae Han, Shuvra Mondal, Sungkeun Han, Chan‐Hwi Eom, Venkata Ramesh Naganaboina, Suk‐Won Hwang   +5 more
wiley   +1 more source

Ontology-based document representation for biomedical information retrieval [PDF]

, 2007
In the current era of fast sequencing of entire genomes, more data is becoming available for analysis. This data analysis, in turn, leads to an increasing amount of scientfic publications.
Camous, Fabrice
core   +2 more sources

A novel model for expanding horizons in sign Language recognition

Scientific Reports
The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the corresponding
Esraa Hassan, Mahmoud Y. Shams, Tarek Abd El-Hafeez, Marwa Elseddik   +3 more
doaj   +1 more source

Clinical entity-aware domain adaptation in low resource setting for inflammatory bowel disease

Frontiers in Artificial Intelligence
The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data.
Sumam Francis, Fernando Crema Garcia, Kanimozhi Uma, Willem Mestdagh, Bart De Moor, Marie-Francine Moens   +5 more
doaj   +1 more source

Dynamically Actuated Reconfigurable Topographical Surface Enables Active Control of Implant‐Associated Infections

Advanced Functional Materials, EarlyView.
A dynamically actuated reconfigurable topographical surface (DARTS) integrates contact‐mediated bactericidal nanotopography with programmable mechanical actuation to actively disrupt bacterial biofilms. Dynamic surface reconfiguration enhances bacterial killing and suppresses implant‐associated infections in vivo, providing a new strategy for active ...
Mohammad Asadi Tokmedash, Jihun Lee, J. Scott VanEpps, Sungmin Nam, Jouha Min   +4 more
wiley   +1 more source

Effect of hyperparameter tuning of machine learning algorithms on the modeling quality of the distribution of three mosquito species in Morocco

Journal of Intelligent Systems
The widespread use of machine learning algorithms in dataset modeling requires a thorough understanding of the various tools likely to improve the modeling quality.
Douider Meriem, Amrani Ibrahim, Abik Mounia   +2 more
doaj   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

The Effect of Training Data Size on Disaster Classification from Twitter

Information
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler models is
Dimitrios Effrosynidis, Georgios Sylaios, Avi Arampatzis   +2 more
doaj   +1 more source