Results 221 to 230 of about 1,302,695 (334)
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
Ubiquitous memory augmentation via mobile multimodal embedding system. [PDF]
Cai D+7 more
europepmc +1 more source
In this study, how friction‐welding parameters (rotational speed, etc.) affect the morphology, distribution, and local thickness of the intermetallic compound layer (IMC‐layer) in friction‐welded steel‐aluminum hybrid components is investigated. In the results, it is shown that lower speeds (700 rpm) lead to a more uniform, thinner IMC‐layer (<0.5 μm),
Christoph Kahra+6 more
wiley +1 more source
Ensuring integrity and security of medical image transmission in IoMT using highly imperceptible and robust watermarking approach. [PDF]
Singh P+6 more
europepmc +1 more source
On differential geometry of a surface embedded in the three dimmensional space with a projective connection [PDF]
Alois Švec
openalex +1 more source
This study investigates the bond quality of co‐extruded aluminum–titanium hybrid profiles, focusing on the lateral angular co‐extrusion (LACE) process. It examines how heat treatments (HT) affect intermetallic phase formation, bond strength, and material properties.
Norman Mohnfeld+9 more
wiley +1 more source
GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass. [PDF]
Sharabiani M+5 more
europepmc +1 more source
Embeddings of topological lattice-ordered groups [PDF]
Robert L. Madell
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani+4 more
wiley +1 more source