Results 41 to 50 of about 2,931,986 (242)
Advanced Engineering Materials, EarlyView.This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Reconstruction of surfaces of revolution from single uncalibrated views [PDF]
, 2002 This paper addresses the problem of recovering the 3D shape of a surface of revolution from a single uncalibrated perspective view. The algorithm introduced here makes use of the invariant properties of a surface of revolution and its silhouette to ...
Kwan-yee K. Wong +8 more
core +1 more source
Mechatronics and machine vision 2002: current practice [PDF]
, 2002 The field of mechatronics continues to be the basis for an ever-growing list of products and techniques of great technical and commercial value. Mechatronic design can result in products which are much simpler than their intricate and costly predecessors
Bradbeer, Robin, Billingsley, John
core +1 more source
Focusing 3D Small Objects with Object Matching Set Abstraction
Applied SciencesCurrently, 3D object detection methods fail to detect small objects due to the fewer effective points of small objects. It is a significant challenge to reduce the loss of information of points in representation learning.
Lei Guo +5 more
doaj +1 more source
Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading
Advanced Engineering Materials, EarlyView.This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
An explainable hybrid deep learning system for tuberculosis detection with Grad-CAM
Discover ComputingTuberculosis (TB) is a highly contagious disease that affects millions of individuals globally. Early detection is crucial in preventing its spread and improving patient outcomes.
Aleka Melese Ayalew +3 more
doaj +1 more source
Tracking Trans-Generational Stress Susceptibility in the Farm Animal Using AI
Computer Sciences & Mathematics ForumStress, being an inherent trait, is a major driver of farm animal disease, leading to significant antimicrobial use (AMU). AMU is the recognized source of antimicrobial resistance (AMR).
Ajmal Shahbaz +5 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
FGBNet: A Bio-Subspecies Classification Network with Multi-Level Feature Interaction
DiversityBiodiversity is a foundation for maintaining ecosystem health and stability, while precise species identification is crucial to monitoring and protecting ecosystems.
Yang Yuan +6 more
doaj +1 more source