Results 181 to 190 of about 10,020 (297)

PENGGUNAAN DIAGRAM PARETO DAN CEDAC UNTUK MENGANALISA TINGKAT KECACATAN PADA PRODUKSI GULA KRISTAL DI PG. GONDANG BARU

open access: yes, 2014
Crystals sugar are an important source of sweetener in everyday life and have a high level of consumption. The high levels of sugar consumption in addition requires the availability of sufficient amounts of sugar, also with good quality sugar.
, NUR ROCHMAH   +1 more
core  

Investigation of Microscopic Nonmetallic Inclusions in Powder Metallurgical High‐Speed Steels

open access: yessteel research international, EarlyView.
Methods for inclusion analysis are evaluated for suitability. Various powder metallurgical steels in different processing states are characterized. SEM/EDS data are further analyzed using analytical and statistical approaches. A thermodynamic method for determining inclusion phase composition is tested.
Manuel Schickbichler   +5 more
wiley   +1 more source

Optimal structural design method for reinforced concrete column in buildings with high floor heights using a genetic algorithm

open access: yesStructural Concrete, EarlyView.
Abstract Globally, there is a growing trend toward taller, larger, and more structurally diverse buildings that require expansive interior spaces. Rapid technological advancements have surged the demand for data centers, while the expansion of e‐commerce has increased logistics volumes, driving the need for large‐scale warehouses.
Han Yong Lee   +2 more
wiley   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

open access: yesSystems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell   +3 more
wiley   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy