Results 81 to 90 of about 63,026 (172)

Empirical Physics‐Based Normal Behavior Modeling of Drive Train Temperatures With High‐Resolution Wind Turbine Operating Data

open access: yesWind Energy, EarlyView.
ABSTRACT The installed wind energy capacity increases every year. However, operation and maintenance costs still make up a considerable portion of the levelized costs of electricity. This costs can be greatly reduced by the application of suitable early fault detection methods. The supervisory control and data acquisition system of wind turbines is one
Timo Lichtenstein   +2 more
wiley   +1 more source

Artificial Neural Network Surrogate Modelling for Predicting and Optimising CO2 Conversion to Methanol Under Uncertainty

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This study introduces a data‐driven surrogate modelling framework that combines an artificial neural network (ANN) with particle swarm optimisation (PSO) and a genetic algorithm (GA) to optimise methanol production under uncertain conditions.
Muhammad Zulkefal   +4 more
wiley   +1 more source

The calibration of force offset for rocket engine based on deep belief network

open access: yesMeasurement + Control, 2018
Background Force offset is an important movement and control parameter in rocket motor development process, and its accurate measurement is a vital guarantee of rocket motor reliable operation, so there is an essential significance to achieve accurate ...
Jun Zhang   +4 more
doaj   +1 more source

Differentiable Variable Fonts

open access: yesComputer Graphics Forum, EarlyView.
Abstract Typography is an essential component of visual communication. Editing and animating text appearance for graphic designs, title sequences, commercials, and logos remain highly skilled tasks requiring detailed, hands‐on efforts from pro artists. Automating these challenging manual workflows requires balancing the competing goals of maintaining a
Kinjal Parikh   +3 more
wiley   +1 more source

CO2‐sensitive K+ channel traffic affects stomata and whole‐plant water use

open access: yesJournal of Integrative Plant Biology, EarlyView.
CO2‐responsive regulation of membrane trafficking influences the density of the potassium ion (K+) channel KAT1 at the plasma membrane. CO2‐sensitive traffic, dependent on trafficking by the SNARE SYP121, impacts stomatal gas exchange and plant growth.
Zhiyi Yu   +4 more
wiley   +1 more source

A geophysical investigation of the Roter Kamm impact crater, Namibia

open access: yesMeteoritics &Planetary Science, EarlyView.
Abstract The Roter Kamm impact crater is located in the southern Namib Desert. The crater has a diameter of 2.5 km and belongs to the category of simple, bowl‐shaped impact craters, with an elevated rim of fractured target rock. The crater's interior is completely buried beneath sediments, preventing extensive surface investigations of the bedrock ...
Hannah Nienhaus   +6 more
wiley   +1 more source

Temperature Acclimation of Chlorophyll Fluorescence and Carboxylation Capacity From Near‐Instantaneous to Weekly Time Scales

open access: yesPlant, Cell &Environment, EarlyView.
ABSTRACT We studied near‐instantaneous temperature responses of light‐saturated photosynthesis (Asat) and the operating efficiency of photosystem II (ΦPSII) in relation to acclimation of photosynthetic biochemistry to temperature at the timescale of 1–8 days. We grew two closely related Brassica oleracea L.
Paul L. Drake   +4 more
wiley   +1 more source

Accurate robot calibration via cascaded adaptive momentum LM and B-spline interpolated PSO

open access: yesScientific Reports
To improve robotic positioning accuracy and enhance overall manufacturing precision, this paper proposes an adaptive momentum Levenberg–Marquardt cascaded B-spline interpolation particle swarm optimization (AMLM-BIPSO) algorithm for calibrating robotic ...
Dong Li, Yonghong Deng, Zhibin Li
doaj   +1 more source

Modeling Leachate Generation Using Artificial Neural Networks [PDF]

open access: yesآب و فاضلاب, 2011
In this study, a neural network model is proposed for modeling leachate flow-rate in a municipal solid waste landfill site. After training, the neural network model predicts leachate generation based on meteorological data and leachate characteristics ...
Mohammad Javad Zoqi, Mohsen Saeedi
doaj  

Identifikasi Pola Warna Citra Google Maps Menggunakan Jaringan Syaraf Tiruan Metode Levenberg –Marquardt dengan MatLab Versi 7.8

open access: yesKomputika, 2018
Riset mengenai Jaringan Syaraf Tiruan telah banyak diimplementasikan dalam bidang keilmuan, khususnya Geografi, yang mengidentifikasi pola citra peta untuk membedakan kenampakan geografis, dan diterapkan pada Google Maps.
John Adler, Tulus Bangkit Pratama
doaj   +1 more source

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