Results 171 to 180 of about 2,673,797 (306)
Multi-Criteria Analysis for Effective Rain Water Harvesting Site Identification in Konso Zone, Ethiopia. [PDF]
Bereded FT, Andiye YM, Lohani TK.
europepmc +1 more source
Multi-Criteria Satisfaction Analysis (a)
Multi-Criteria Satisfaction Analysis.
openaire +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
A multi-criteria analysis for Environmental Flow Assessment based on hydraulic modelling. [PDF]
Stucchi L, Bocchiola D.
europepmc +1 more source
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
Assessment of concentrated solar power (CSP) generation potential in Cameroon using a Multi-Criteria Analysis Method and Geographic Information System (GIS). [PDF]
Flora FMI.
europepmc +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Yazed Alruthia,1,2 Horiyah Alhajri,1 Omar A Almohammed,1 Bander Balkhi,1 Mai F Alsaqa’aby,2 Mohammed A Almuqbil,3– 5 Hana A Al-Abdulkarim,6 Abdulaali R Almutairi7 1Department of Clinical Pharmacy, College of Pharmacy, King Saud University, Riyadh, Saudi ...
Alruthia Y +7 more
doaj
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source

