Results 171 to 180 of about 7,675,115 (371)
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani+2 more
wiley +1 more source
Distinct dimensions of emotion in the human brain and their representation on the cortical surface
We experience a rich variety of emotions in daily life, and a fundamental goal of affective neuroscience is to determine how these emotions are represented in the brain. Recent psychological studies have used naturalistic stimuli (e.g., movies) to reveal
Naoko Koide-Majima+2 more
doaj
Effect of boundaries on the response of a neural network
L. Sirovich+2 more
openalex +1 more source
Improved input representation for enhancement of neural network performance [PDF]
Chris Aldrich+3 more
openalex +1 more source
The study presents an efficient simulation approach for the polymer laser powder bed fusion process polymers process, validated with polyamide 12, polyamide 6, and polyetherketoneketone. It shows that inter layer time affects part density, with 90s yielding dense parts.
Claas Bierwisch+4 more
wiley +1 more source
After stroke, the poorer recovery of motor function of upper extremities compared to other body parts is a longstanding problem. Based on our recent functional MRI evidence on healthy volunteers, this perspective paper proposes systematic hand motor ...
Hideki Nakano+7 more
doaj +1 more source
Transmission line fault distance and direction estimation using artificial neural network
Anamika Yadav, AS Thoke
openalex +2 more sources
A Case‐Based Reasoning Approach to Model Manufacturing Constraints for Impact Extrusion
A hybrid modeling approach is presented that combines constraint‐based process modeling and case‐based reasoning. The model formalizes manufacturing constraints and integrates simulation data to model complex manufacturing processes. The approach supports manufacturability analysis during product design through an adaptive modeling environment.
Kevin Herrmann+5 more
wiley +1 more source
MODEL NEURAL NETWORKS AND BEHAVIOUR. Edited by Allen I. Selverston [PDF]
I. D. MCFARLANE
openalex +1 more source