Results 201 to 210 of about 874,982 (263)

Hue‐Resolved Strain Sensing in Mechanochromic Colloidal Photonic Crystal Films

Advanced Materials Interfaces, EarlyView.
Despite the complexity of structural color in CPC films, hue extracted from optical images remains a reliable and sensitive indicator of strain‐induced color shifts. This image‐based approach captures consistent, material‐dependent mechanochromic responses and offers a scalable, real‐time alternative to spectroscopy for soft electronics, diagnostics ...
Yujin Lee, Seonu Lee, Chi Yeung Oh, Young‐Seok Kim, Tae Soup Shim, Hyerim Hwang   +5 more
wiley   +1 more source

Key Factors Influencing NBA Game Outcomes: A Machine Learning Approach Using Game and Player Statistics

Jiin Son
openalex   +2 more sources

Fine tuned CatBoost machine learning approach for early detection of cardiovascular disease through predictive modeling. [PDF]

Sci Rep
Hamid M, Hajjej F, Alluhaidan AS, Bin Mannie NW.   +3 more
europepmc   +1 more source

Property Prediction and Resilience Analysis in Polyionic Glasses Using a Machine‐Learning Algorithm with Multivariate Output

Advanced Materials Technologies, EarlyView.
A multivariate machine‐learning model is employed using Gaussian process regression to predict property profiles of complex glass formulations based on small but highly consistent datasets. Abstract Designing the chemical composition of multi‐component glasses toward a set of target properties requires information on a complex range of trade‐off ...
Yuanqing Lu, Zhiwen Pan, Aaron Reupert, Rene Limbach, N. M. Anoop Krishnan, Katrin Wondraczek, Lothar Wondraczek   +6 more
wiley   +1 more source

Beyond health: A machine learning analysis of structural barriers to school attainment in Somalia. [PDF]

PLoS One
Ali JA, Cumar MA, Abdi MK, Muse AH, Abdikarim H.   +4 more
europepmc   +1 more source

Reviewer #1 (Public Review): Lipid discovery enabled by sequence statistics and machine learning

Priya M. Christensen, Jonathan Martin, Aparna Uppuluri, Luke R. Joyce, Yahan Wei, Ziqiang Guan, Faruck Morcos, Kelli L. Palmer   +7 more
openalex   +1 more source

Hygromnemics: Programmable Material Memory Matter Actuators via Wet Pre‐Constraining

Advanced Materials Technologies, EarlyView.
Humidity‐based pre‐constraining creates hygromnemics‐shape memory matter. From identical biocomposites actuation in dry and wet states is obtained via hygromnemic and hygromorphic actuation, respectively. Hygromnemic actuators present long‐ and short‐term shape memory abilities.
Charles de Kergariou, Findlay S. G. Smith, Richard S. Trask, Adam W. Perriman, Fabrizio Scarpa, David Correa   +5 more
wiley   +1 more source

Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics. [PDF]

Sci Rep
Mahmood MA, Ahmed KM, Majeed TF, Abdalrahim RH, Rashid MO.   +4 more
europepmc   +1 more source

Electrolyte‐Jet 3D Printing of Copper‐Based Strain Sensors for Physiological Signal Monitoring and Robotic Manipulation

Advanced Materials Technologies, EarlyView.
Electrolyte‐jet (EJ) 3D printing turns copper ions into precisely arranged copper microspheres, which combine with flexible polymers and carbon nanomaterials to create durable, high‐sensitivity sensors. These sensors accurately monitor human motion and physiological signals. Real‐time robotic hand control via gesture mirroring demonstrates an intuitive
Wending Gu, David Payne, Binesh Puthen Veettil   +2 more
wiley   +1 more source

Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study. [PDF]

JMIR AI
Liu J, Ssewamala F, An R, Ji M.
europepmc   +1 more source