Results 121 to 130 of about 883,257 (272)

Enhancing Strength and Electrical Conductivity in Al–Zr–Sc Conductor Alloys Through Sn and Sr Microalloying and Two‐Step Aging Treatment

Advanced Engineering Materials, EarlyView.
Trace additions of Sn and Sr combined with a two‐step aging treatment are shown to enhance the microstructure and performance of Al–Zr–Sc conductor alloys. Strength and electrical conductivity increase concurrently through accelerated precipitation of fine Al3(Sc, Zr) precipitates and improved dislocation resistance, offering a cost‐effective pathway ...
Quan Shao, Emad M. Elgallad, Alexandre Maltais, X.‐Grant Chen   +3 more
wiley   +1 more source

Deterministic Detection of Single Ion Implantation

Advanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead, Lok Kan Wan, Maddison Coke, Janet Jacobs, Nicholas F. L. Collins, Mark C. Rosamond, Richard J. Curry   +6 more
wiley   +1 more source

Trend Prediction of Valve Internal Leakage in Thermal Power Plants Based on Improved ARIMA-GARCH

Energies
Accurate trend prediction of valve internal leakage is crucial for the safe and economical operation of thermal power units. To address the issues of prediction lag and insufficient accuracy in existing methods when dealing with the dynamic changes in ...
Ruichun Hou, Lin Cong, Kaiyong Li, Zihao Guo, Xinghua Yuan, Chengbing He   +5 more
doaj   +1 more source

Time Series Forecasts of International Tourism Demand for Australia, [PDF]

This paper examines stationary and nonstationary time series by formally testing for the presence of unit roots and seasonal unit roots prior to estimation, model selection and forecasting.
Christine Lim, Michael McAleer
core  

High‐Temperature Nanoindentation of Metals: Assessing Thermal Drift, Frame Compliance, and Chemical Composition Effects on the Reported Mechanical Properties

Advanced Engineering Materials, EarlyView.
Do not let thermal drift and instrument artifacts deceive high‐temperature nanoindentation results. We compare classical Oliver–Pharr and automatic image recognition analyses across steels and a Ni alloy to quantify these effects. Accounting for artifacts reveals systematic softening with temperature, while Cr and Ni additions boost resistance ...
Velislava Yonkova, Steffen Brinckmann, Ruth Schwaiger   +2 more
wiley   +1 more source

PERBANDINGAN METODE REGRESI LINIER DAN METODE NEURAL NETWORK TERHADAP PREDIKSI PENJUALAN MOTOR PADA YAMAHA SUDIRMAN MOTOR TEMANGGUNG [PDF]

, 2016
Dalam data mining model prediksi yaitu berkaitan dengan pembuatan model yang dapat melakukan pemetaan dari setiap himpunan variabel ke setiap targetnya, kemudian menggunakan model tersebut untuk memberikan nilai target pada himpunan baru yang didapat ...
INDRA, KURNIAWAN
core  

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Hybrid multimodule DC–DC converters accelerated by wide bandgap devices for electric vehicle systems

Scientific Reports
In response to the growing demand for fast-charging electric vehicles (EVs), this study presents a novel hybrid multimodule DC–DC converter based on the dual-active bridge (DAB) topology.
Abdul Waheed, Saif ur Rehman, Faisal Alsaif, Shoaib Rauf, Ismail Hossain, Mukesh Pushkarna, Fsaha Mebrahtu Gebru   +6 more
doaj   +1 more source

Comparison between traditional models and artificial neural networks as estimators of the growth of the Tigris scraper Capoeta umbla (Teleostei: Cyprinidae) in the Munzur River, Turkey

Revista Científica
In this study, a comparison of traditional growth methods (length-weight relationships and von Bertalanffy growth function) with artificial neural networks in growth models was carried out in the growth of 783 specimens of Capoeta umbla from the Munzur ...
Ebru Ifakat Ozcan, Osman Serdar
doaj   +1 more source

Volatility Modelling Using Hybrid Autoregressive Conditional Heteroskedasticity (ARCH) - Support Vector Regression (SVR) [PDF]

, 2015
High fluctuations in stock returns is one problem that is considered by the investors. Therefore we need a model that is able to predict accurately the volatility of stock returns.
Hoyyi, Abdul, Tarno, Tarno, Yasin, Hasbi
core