Results 61 to 70 of about 116,404 (257)
Multi-Criteria Optimization Manipulator Trajectory Planning [PDF]
In the last twenty years genetic algorithms (GAs) were applied in a plethora of fields such as: control, system identification, robotics, planning and scheduling, image processing, and pattern and speech recognition (Back et al., 1997). In robotics the problems of trajectory planning, collision avoidance and manipulator structure design considering a ...
Pires, E. J. Solteiro +2 more
openaire +2 more sources
Objective Test the hypothesis that multi‐joint osteoarthritis would modify the relation between time and frailty progression, where more affected joints would lead to larger declines over 6‐years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell +2 more
wiley +1 more source
Clinical characteristics and concordance of anti‐MDA5 autoantibodies: A multicentre Australian study
Objectives In Australia, anti‐MDA5 antibodies are exclusively tested by line immunoblot assay (LIA). The clinical concordance of a LIA‐positive anti‐MDA5 result is unclear. We aimed to describe the clinical features and determine the clinical concordance of patients with anti‐MDA5 antibodies.
Syed B Ali +11 more
wiley +1 more source
Research into hybrid renewable energy systems (HRESs) fulfills the need for the development of sustainable and environmentally friendly energy systems to supply house‐holds.
Tebello Ntsiki Don Mathaba +1 more
doaj +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Evolutionary multi-objective optimization of hybrid laminates
The aim of the paper is to prepare an efficient method of the optimization of the hybrid fibre-reinforced laminates. Since the several optimization criteria which cannot be satisfied simultaneously are proposed, the multi-objective optimization methods ...
Witold Beluch +2 more
doaj
Application of Memetic Algorithms in Multi-Criteria Structural Optimization
The goal of this paper is to present new innovative algorithms for discrete structural optimization of problems involving multi-criteria objective function, which contains stress, displacement and frequency constraints. The algorithm is tested on a shell
Peter Pechac +4 more
doaj +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Utilizing Several Machine Learning Techniques to Investigate the Bridge Deck Condition
Effective prediction of bridge deck condition, here defined as the National Bridge Inventory (NBI) condition rating based on visual inspections, is essential for prioritizing maintenance and ensuring infrastructure safety. This study proposes an ensemble
Israel Afriyie +2 more
doaj +1 more source

