Results 111 to 120 of about 418,008 (299)

Enhancing hydrological modeling with transformers: a case study for 24-h streamflow prediction

Water Science and Technology
In this paper, we address the critical task of 24-h streamflow forecasting using advanced deep-learning models, with a primary focus on the transformer architecture which has seen limited application in this specific task.
Bekir Zahit Demiray, Muhammed Sit, Omer Mermer, Ibrahim Demir   +3 more
doaj   +1 more source

Kalman filter model, as a tool for short-term forecasting of solar potential: case of the Dakar site

E3S Web of Conferences, 2018
The prediction of solar potential is an important step toward the evaluation of PV plant production for the best energy planning. In this study, the discrete Kalman filter model was implemented for short-term solar resource forecasting one the Dakar site
Mbaye A., Ndong J., NDiaye M.L., Sylla M., Aidara M.C., Diaw M., NDiaye M.F., Ndiaye Papa Alioune, Ndiaye A.   +8 more
doaj   +1 more source

Prediction of Ceramic\u27s Mechanical Properties Based on Sintering Temperature Using Neural Network [PDF]

, 2015
Ceramics is one of material which apply in many area. Thus, study of its properties is very important to fulfilled the properties requirement. The mechanical properties of ceramic such as flexural strength and hardness mainly depend on the sintering ...
Darwito, P. A. (Purwadi), Pratama, D. Y. (Detak), Sawitri, D. (Dyah), Zulkifli, Z. (Zulkifli)   +3 more
core  

Multifunctional Microstructured Surfaces by Microcontact Printing of Reactive Microgels

Advanced Functional Materials, EarlyView.
Reactive poly(N‐vinylcaprolactam‐co‐glycidyl methacrylate) microgels are used as functional inks to create surface‐grafted arrays on glass via microcontact printing. The patterns (10–50 µm widths and spacings) enable stable binding and post‐functionalization with dyes and peptides.
Inga Litzen, Alexander Töpel, Martin Zenke, Antonio Sechi, Andrij Pich   +4 more
wiley   +1 more source

Influence of Wind Direction Variability on Power Prediction in the OpenFAST with Corrected Meteorological Data

Journal of Marine Science and Engineering
Time-varying wind conditions, on which wind turbines depend, significantly influence power generation performance. Accordingly, this study proposes an approach to improve the accuracy of wind power generation prediction by incorporating time-varying wind
Dongmyung Im, Yeonbin Lee, Yoon Hyeok Bae   +2 more
doaj   +1 more source

Stabilizing Cationic Palladium Single‐Atom Sites on Heteroatom‐Doped Carbon for Selective Hydrogen Peroxide Electrosynthesis

Advanced Functional Materials, EarlyView.
In this research, it is demonstrated that dual nitrogen and sulfur doping in hollow carbon spheres creates a tunable coordination environment that stabilizes cationic Pd single atoms as robust organometallic complexes, enabling high selectivity and stability for electrochemical hydrogen peroxide production under harsh acidic and peroxide‐rich ...
Guilherme V. Fortunato, Alexander Gunnarson, Hannaneh Hosseini, Xiangyu You, Pallabi Bhuyan, Ji Sik Choi, Hyo Sang Jeon, Xingshen Zhao, Julio C. Lourenço, Sumin Lim, Huize Wang, Ana Guilherme Buzanich, Martin Radtke, Paul Paciok, Marcos R.V. Lanza, Ferdi Schüth, Marc Ledendecker   +16 more
wiley   +1 more source

Perturbed and Permuted: Signal Integration in Network-Structured Dynamic Systems [PDF]

, 2011
Biological systems (among others) may respond to a large variety of distinct external stimuli, or signals. These perturbations will generally be presented to the system not singly, but in various combinations, so that a proper understanding of the system
Wylie, Dennis
core  

Two‐Dimensional Materials as a Multiproperty Sensing Platform

Advanced Functional Materials, EarlyView.
Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana, Shubhrasish Mukherjee, Dmitrii Litvinov, Magdalena Grzeszczyk, Sergey Grebenchuk, Makars Šiškins, Virgil Gavriliuc, Yihang Ouyang, Changyi Chen, Yuxuan Ye, Meng Yiming, Maciej Koperski   +11 more
wiley   +1 more source

Periodic analysis of scenic spot passenger flow based on combination neural network prediction model

Journal of Intelligent Systems
To prevent in a short time the rapid increase of tourists and corresponding traffic restriction measures’ lack in scenic areas, this study established a prediction model based on an improved convolutional neural network (CNN) and long- and short-term ...
Yin Fang
doaj   +1 more source

Magnetic and Structural Response Tuned by Coexisting Mn Concentration‐Dependent Phases in MnBi2Te4 Thin Film Grown on GaAs(001) by Molecular Beam Epitaxy

Advanced Functional Materials, EarlyView.
The study explores structural and magnetic properties of one of the most recent topological quantum materials (MnBi2Te4). The Mn‐poor structure leads to stacking faults (quintuple layer ‐ QL of Bi2Te3 formation instead of a septuple layer ‐ SL of MnBi2Te4), resulting in a coexistence between weak antiferromagnetism and ferromagnetism.
Wesley F. Inoch, Sergio L. A. Mello, Gilberto Rodrigues‐Junior, Sukarno O. Ferreira, Marcelo M. Sant'Anna, Benjamin R. Salles, Mateus T. Souza, Sérgio L. Morelhão, Maybi F. Sampaio, Bráulio S. Archanjo, Leonarde N. Rodrigues   +10 more
wiley   +1 more source