Results 1 to 10 of about 2,755,850 (188)

Low Capillary Elastic Flow Model Optimization Using the Lattice Boltzmann Method and Non-Dominated Sorting Genetic Algorithm [PDF]

Micromachines
In simulations of elastic flow using the lattice Boltzmann method (LBM), the steady-state behavior of the flow at low capillary numbers is typically poor and prone to the formation of bubbles with inhomogeneous lengths.
Yaqi Hou, Wei Zhang, Jiahua Hu, Feiyu Gao, Xuexue Zong   +4 more
doaj   +2 more sources

Efficient Caoshu Character Recognition Scheme and Service Using CNN-Based Recognition Model Optimization [PDF]

Sensors, 2020
Deep learning-based artificial intelligence models are widely used in various computing fields. Especially, Convolutional Neural Network (CNN) models perform very well for image recognition and classification.
Boseon Hong, Bongjae Kim
doaj   +2 more sources

Autoregressive optimal transport models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023
Abstract Series of univariate distributions indexed by equally spaced time points are ubiquitous in applications and their analysis constitutes one of the challenges of the emerging field of distributional data analysis. To quantify such distributional time series, we propose a class of intrinsic autoregressive models that operate in the
Changbo Zhu, Hans-Georg Müller
openaire   +3 more sources

Fault Diagnosis for Complex Equipment Based on Belief Rule Base with Adaptive Nonlinear Membership Function

Entropy, 2023
Fault diagnosis of complex equipment has become a hot field in recent years. Due to excellent uncertainty processing capability and small sample problem modeling capability, belief rule base (BRB) has been widely used in the fault diagnosis.
Zheng Lian, Zhijie Zhou, Xin Zhang, Zhichao Feng, Xiaoxia Han, Changhua Hu   +5 more
doaj   +1 more source

Study on Erosion Model Optimization and Damage Law of Coiled Tubing

Energies, 2023
Coiled tubing (CT) is used as a velocity string to transport high-velocity gas in drainage gas recovery technology. Sand particles flowing at high speed can cause serious erosion of the pipe wall.
Binqi Zhang, Jingen Deng, Hai Lin, Jie Xu, Guiping Wang, Wei Yan, Kongyang Wang, Fuli Li   +7 more
doaj   +1 more source

CRDI Engine Emission Prediction Models with Injection Parameters Based on ANN and SVM to Improve the SOOT-NOx Trade-Off [PDF]

Journal of Applied Fluid Mechanics, 2023
Artificial Neural Network (ANN) and Support Vector Machine (SVM) have been widely used to solve non-linear problems. In the current study, based on 112 groups of experimental data, ANN and SVM models were established and compared to improve the trade-off
W. R. Liao, J. H. Shi, G. X. Li
doaj   +1 more source

Impervious Surface Mapping Based on Remote Sensing and an Optimized Coupled Model: The Dianchi Basin as an Example

Land, 2023
Accurately extracting impervious surfaces (IS) and continuously monitoring their dynamics are crucial practices for promoting sustainable development in regional ecological environments and resources.
Yimin Li, Xue Yang, Bowen Wu, Juanzhen Zhao, Xuanlun Deng   +4 more
doaj   +1 more source

Habitat Suitability Assessment of Black-Necked Crane (Grus nigricollis) in the Zoige Grassland Wetland Ecological Function Zone on the Eastern Tibetan Plateau

Diversity, 2022
Habitat suitability assessment is critical for wildlife population conservation and management planning. The MaxEnt model is widely used in species habitat suitability modeling.
Junjun Bai, Peng Hou, Diandian Jin, Jun Zhai, Yutiao Ma, Jiajun Zhao   +5 more
doaj   +1 more source

The Improvement and Comparison Study of Distance Metrics for Machine Learning Algorithms for Indoor Wi-Fi Localization

IEEE Access, 2023
Accurate indoor positioning is crucial for many location-based services, but GPS accuracy is significantly reduced due to issues such as signal penetration and accuracy in indoor scenarios. In contrast, indoor Wi-Fi positioning is emerging as a promising
Xinyue Wang
doaj   +1 more source

Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata

IEEE Access, 2023
Learning to detect objects, such as humans, in imagery captured by an unmanned aerial vehicle (UAV) usually suffers from tremendous variations caused by the UAV’s position towards the objects.
Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo   +9 more
doaj   +1 more source