Results 61 to 70 of about 222,299 (265)

Yağışın mekânsal dağılışında deterministik ve stokastik yöntemler: Mauritius örneği, Doğu Afrika

Coğrafi Bilimler Dergisi, 2016
Precipitation is one of the most important climatic parameters displaying significant changes across space and time. The accurate modeling of precipitation has become an important part of climate research for hydrological studies, the forecast of events ...
Olgu Aydın, Nussaïbah Begum Raja
doaj   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

APPLICATION OF THE BAYESIAN INFERENCE METHOD TO SYNTHESIZE URBAN DRIVING CYCLE SPEED SCHEDULES USING MEASURED DATA [PDF]

Transport Problems
Standardized driving cycles are widely used to simulate real-world vehicle operating conditions. They are used for estimating vehicle ranges, evaluating emissions, and designing powertrain characteristics.
Andrzej CZEREPICKI, Maciej KOZŁOWSKI
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

A Novel Magnificent Frigatebird Optimization Algorithm with Proposed Movement Strategies for Enhanced Global Search

Analytics
Global optimization is a fundamental tool for addressing complex and nonlinear problems across scientific and technological domains. The primary objective of this work is to enhance the efficiency, stability, and convergence speed of the Magnificent ...
Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos   +2 more
doaj   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

A Novel Method That Is Based on Differential Evolution Suitable for Large-Scale Optimization Problems

Foundations
Global optimization represents a fundamental challenge in computer science and engineering, as it aims to identify high-quality solutions to problems spanning from moderate to extremely high dimensionality.
Glykeria Kyrou, Vasileios Charilogis, Ioannis G. Tsoulos   +2 more
doaj   +1 more source

Semi-Stochastic Gradient Descent Methods

Frontiers in Applied Mathematics and Statistics, 2017
In this paper we study the problem of minimizing the average of a large number of smooth convex loss functions. We propose a new method, S2GD (Semi-Stochastic Gradient Descent), which runs for one or several epochs in each of which a single full gradient
Jakub Konečný, Peter Richtárik
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Seyyar Robotlarda Kullanılan Stokastik Konum Belirleme Algoritmalarının Karşılaştırmalı Analizi

MANAS: Journal of Engineering, 2015
The problem of mobile robot localization is the problem of finding robots position in its environment. Localization ability plays important role for mobile and autonomous robots because robot must know its position to reach the goal. There are several
U. Bayaliev, U. Brimkulov, R. Sultanov
doaj