A5043517931- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Gas Dynamics and Kinetic Theory
- Synthesis of Indole Derivatives
- Meteorological Phenomena and Simulations
- Model Reduction and Neural Networks
- Lattice Boltzmann Simulation Studies
- X-ray Diffraction in Crystallography
- Remote-Sensing Image Classification
- Radiative Heat Transfer Studies
- Image Retrieval and Classification Techniques
- Crystallization and Solubility Studies
- Multicomponent Synthesis of Heterocycles
- Face and Expression Recognition
- Synthesis of Organic Compounds
PLA Rocket Force University of Engineering
2022-2023
Hebei University of Science and Technology
2022
Due to prior knowledge deficiency, large spectral variability, and high dimension of hyperspectral image (HSI), HSI clustering is extremally a fundamental but challenging task. Deep methods have achieved remarkable success attracted increasing attention in unsupervised classification (HSIC). However, the poor robustness, adaptability, feature presentation limit their practical applications complex large-scale datasets. Thus, this article introduces novel self-supervised locality preserving...
With the increasing use of deep neural networks as surrogate models for accelerating computational simulations in mechanics, application artificial intelligence fluid dynamics has seen renewed interest recent years. However, flow mainly concentrated on relatively simple cases incompressible flows. The strongly discontinuous structures that appear compressible flows dominated by convection, such shock waves, introduce significant challenges when approximating nonlinear solutions or governing...
Abstract C 23 H 28 O 3 , monoclinic, P 2 1 / n (no. 14), a = 7.3985 (2) Å, b 16.6978 (5) c 16.5137 β 96.699(3)°, V 2026.15 (10) Å Z 4, R gt ( F ) 0.0428, wR ref 0.1116, T 90 K.