Results 51 to 60 of about 8,406,664 (294)
Crude Oil Price Prediction Based On Multi-scale Decomposition [PDF]
, 2007 A synergetic model (DWT-LSSVM) is presented in this paper. First of all, the raw data is decomposed into approximate coefficients and the detail coefficients at different scales by discrete wavelet transforms (DWT). These coefficients obtained by previous phase are then used for prediction independently using least squares support vector machines ...
Yejing Bao +3 more
openaire +1 more source
Image Fusion Using Quaternion Wavelet Transform and Multiple Features
IEEE Access, 2017 Multi-scale-based image fusion is one of main fusion methods, in which multi-scale decomposition tool and feature extraction play very important roles.
Pengfei Chai +2 more
doaj +1 more source
Applied Sciences, 2023 Spatial–temporal prediction is an important part of a great number of applications, such as urban traffic control, urban traffic management, and urban traffic planning. However, real-world spatial–temporal data often have complex patterns, so it is still
Junhao Ming, Dongmei Zhang, Wei Han
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Advances in Mechanical Engineering, 2016 Aiming at the characteristic that the vibration signals of hydraulic pump usually have strong nonlinearity and low signal-to-noise ratio, this article presents a novel hydraulic pump degradation feature extraction method based on improved local ...
Zaike Tian +3 more
doaj +1 more source
Infrared and visible image fusion algorithm based on spatial domain and image features.
PLoS ONE, 2022 Multi-scale image decomposition is crucial for image fusion, extracting prominent feature textures from infrared and visible light images to obtain clear fused images with more textures.
Liangjun Zhao +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Decomposition tool for Event-B
, 2009 Two methods have been identified for Event-B model decomposition: shared variable and shared event. The purpose of this paper is to introduce the two approaches and the respective tool support in the Rodin platform. Besides alleviating the complexity for
Silva, Renato +8 more
core +1 more source
Weak Feature Extraction of Rolling Bearing Fault Based on Generalized Variational Mode Decomposition
Jixie chuandong, 2023 Aiming at the deficiency of variational mode decomposition (VMD) in on-demand extraction of weak feature components, a generalized VMD (GVMD) is proposed to extract the weak features of rolling bearing faults.
Guo Yanfei, Chen Gaohua, Wang Qinghua
doaj
Advanced Engineering Materials, EarlyView.Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source