Results 71 to 80 of about 6,580,146 (248)
Prediction OPEC oil price utilizing long short-term memory and multi-layer perceptron models
Alexandria Engineering JournalThe present study undertakes a comprehensive assessment of two predictive models, namely Long Short-Term Memory (LSTM) and Multi-layer Perceptron (MLP), with a specific emphasis on their effectiveness in predicting oil prices, particularly those of the ...
Hiyam Abdulrahim +3 more
doaj +1 more source
Advanced Materials, EarlyView.Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong +6 more
wiley +1 more source
Poly(Alkoxythiophene) Rod‐Coil Block Copolymers for Organic Electrochemical Transistors
Advanced Materials, EarlyView.We present the first synthesis of poly(3‐alkoxythiophene) rod‐coil block copolymers as a new architecture for OMIECs. Incorporating PEG and PLLA coils can enhance device performance beyond the homopolymer. The figure‐of‐merit depends uniquely on coil length.
Junfu Tian +23 more
wiley +1 more source
Another Look at Measures of Forecast Accuracy [PDF]
We discuss and compare measures of accuracy of univariate time series forecasts. The methods used in the M-competition and the M3-competition, and many of the measures recommended by previous authors on this topic, are found to be inadequate, and many of
Anne B. Koehler, Rob J. Hyndman
core
Advanced Materials Interfaces, EarlyView.Thermoplastic attachment is introduced as a scalable surface coating strategy to improve the durability and dielectric reliability of flexible electrodynamic dust shields. By embedding chemically modified reduced graphene oxide (CMrGO) electrodes within thermoplastic laminates, mechanical degradation, abrasion damage, and vacuum‐induced electrical ...
Ide E. Onal +6 more
wiley +1 more source
Indonesian Journal of Applied PhysicsStudies of climate information that rely on accurate and reliable data are essential in hydrometeorological monitoring, early warning, and climate change impacts in areas with varied topography and limited observation data, such as Central Java ...
Iis Widya Harmoko +3 more
doaj +1 more source
Forecasting telecommunications data with linear models [PDF]
For telecommunication companies to successfully manage their business, companies rely on mapping future trends and usage patterns. However, the evolution of telecommunications technology and systems in the provision of services renders imperfections in ...
Tan, Joachim, Madden, Gary G
core
Mean-risk models using two risk measures: A multi-objective approach [PDF]
, 2006 This paper proposes a model for portfolio optimisation, in which distributions are characterised and compared on the basis of three statistics: the expected value, the variance and the CVaR at a specified confidence level.
Diana Roman +5 more
core +1 more source
Advanced Materials Interfaces, EarlyView.Atomistic simulations reveal the interlayer mechanics of additively manufactured materials, showing how build direction and layer interfaces govern diffusion, defect evolution, and mechanical strength. Distinct anisotropic behavior arises from interface‐controlled deformation and dislocation activity, establishing critical links between microstructural
Rohit Singh, Jinoop Arackal Narayanan
wiley +1 more source
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Advanced Materials Technologies, EarlyView.Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source