Results 31 to 40 of about 1,093,634 (281)
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Fusing feature consistency across views for multi-view stereo
Complex & Intelligent SystemsDense feature matching is of significant importance in the learning-based multi-view stereo (MVS) pipeline. Feature consistency across views is a key factor affecting feature matching and plays a crucial role in the reconstruction of objects by the ...
Rong Zhao +5 more
doaj +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
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +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 Functional Materials, EarlyView.Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 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
Multispectral Image Processing for Plants [PDF]
, 1991 The development of a machine vision system to monitor plant growth and health is one of three essential steps towards establishing an intelligent system capable of accurately assessing the state of a controlled ecological life support system for long ...
Miles, Gaines E.
core +1 more source
Advanced Functional Materials, EarlyView.Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum +5 more
wiley +1 more source