Results 161 to 170 of about 723,870 (293)
Data Driven Control of Defect Formation in Solution Deposited Sb2Se3 Thin Films
A data‐driven design of experiments (DoE) approach is used to uncover how six interdependent processing parameters govern defect formation in solution‐deposited Sb2Se3 thin films. Statistical modeling revealed strong non‐linear couplings that control film quality, and the optimized films showed a threefold enhancement in photoresponse, demonstrating ...
Marissa J. Strumolo +4 more
wiley +1 more source
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek +7 more
wiley +1 more source
Decision tree-based blending method using deep-learning for network management
Ons Aouedi +2 more
openalex +1 more source
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 +2 more
wiley +1 more source
Machine Learning Meets Microeconomics: The Case of Decision Trees and\n Discrete Choice [PDF]
Timothy Brathwaite +2 more
openalex +1 more source
Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications
This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley +1 more source
Searches for the BSM scenarios at the LHC using decision tree based machine learning algorithms: A comparative study and review of Random Forest, Adaboost, XGboost and LightGBM frameworks [PDF]
Arghya Choudhury +2 more
openalex +1 more source
Learning decision trees for the partial label ranking problem
Juan C. Alfaro +2 more
openalex +2 more sources
Rotary 4D Printing of Programmable Metamaterials on Sustainable 4D Mandrel
The paper introduces open, rotary 4D printing of programmable tubular metamaterials. It presents an open, non‐planar path‐to‐G‐code pipeline and shape‐changing rotary mandrel that enable support‐free fabrication and multi‐stimuli actuation. Experiments and FEA validate the mentioned features and stress redistribution.
Hesam Soleimanzadeh +4 more
wiley +1 more source

