A5102009858- Advanced Multi-Objective Optimization Algorithms
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Ferroelectric and Piezoelectric Materials
- Optimal Experimental Design Methods
- Geological and Geochemical Analysis
- Probabilistic and Robust Engineering Design
- Magnetic and transport properties of perovskites and related materials
- Seismic Imaging and Inversion Techniques
- Multiferroics and related materials
- Image Enhancement Techniques
- Metaheuristic Optimization Algorithms Research
- Advanced Vision and Imaging
- Turbomachinery Performance and Optimization
- Concrete Corrosion and Durability
- Anomaly Detection Techniques and Applications
- Gait Recognition and Analysis
- Heat Transfer Mechanisms
- Image and Signal Denoising Methods
- Structural Behavior of Reinforced Concrete
- Advanced Neural Network Applications
- Structural Load-Bearing Analysis
- Geochemistry and Geologic Mapping
- Aquatic Ecosystems and Phytoplankton Dynamics
- Gaussian Processes and Bayesian Inference
Zhengzhou University
2019-2025
Chinese Academy of Sciences
2003-2024
Guangdong Province Environmental Monitoring Center
2023-2024
Institute of High Energy Physics
2024
Shanghai Institute of Microsystem and Information Technology
2015-2023
Shenyang Institute of Computing Technology (China)
2021-2022
University of Chinese Academy of Sciences
2020-2022
China University of Geosciences (Beijing)
2020
Chinese Academy of Geological Sciences
2020
Institute of Geology and Geophysics
2003-2019
This report introduces two high-quality datasets Flickr360 and ODV360 for omnidirectional image video super-resolution, respectively, reports the NTIRE 2023 challenge on 360° super-resolution. Unlike ordinary 2D images/videos with a narrow field of view, can represent whole scene from all directions in one shot. There exists large gap between image/video both degradation restoration processes. The is held to facilitate development super-resolution by considering their special...
The Junggar Alatau forms the northern extent of Tian Shan within Central Asian Orogenic Belt (CAOB) at border SE Kazakhstan and NW China. This study presents Palaeozoic–Mesozoic post-collisional thermo-tectonic history this frontier locality using an integrated approach based on three apatite geo-/thermochronometers: U–Pb, fission track (U–Th)/He. U–Pb dates record Carboniferous–Permian post-magmatic cooling ages for sampled granitoids, reflecting progressive closure Palaeo-Asian Ocean....
Abstract We have used U‐Pb zircon ages and Hf isotopic compositions for detrital zircons from Eocene Cretaceous‐Triassic sedimentary rocks of the Makran accretionary complex (MAC, Iran) to understand source growth MAC during Mesozoic Cenozoic time. The sandstones reveal main age distribution Paleocene with a peak at 54 Ma show εHf( t ) values −47.7 +12.1. Our compiled U‐Pb‐Hf data both Urumieh‐Dokhtar Magmatic Belt magmatic Paleogene that continental arc are important suppliers zircons....
Early colonoscopy diagnosis can significantly reduce the mortality rate of colon cancer patients. Deep learning based object detection assists to enhance clinical performance on accurate diagnosis; however, it is challenging integrate current models low-performance endoscope hardware devices. This paper presents a lightweight model for real-time polyp detection. By reducing number convolutional kernels by half and removing large-object-detecting head from YOLOv5, our got similar precision...
Heat damage in automobiles is concentrated the engine compartment, where radiator key to cooling performance. The relative positions of intercooler, condenser, and oil cooler also influence this This study optimizes these components a mid-sized pickup truck address heat damage. Vehicle tests first identified extreme working conditions leading Computational fluid dynamics (CFD) simulations then analyzed locations assessed impact component positions. A near-orthogonal Latin hypercube method...
Abstract Recently, 3D Convolutional Neural Networks (3D CNNs) have attracted extensive attention in extracting spatial and temporal features videos for their efficient feature extraction ability. However, it also brings enormous model parameters by training very deep CNNs. Here, a novel network named spurious‐3D Residual Attention (S3D RANs) is proposed video‐based action recognition, which has the powerful capacity to learn collaborative spatiotemporal features. In particular, leveraging...
Field-vehicle-type recognition plays an essential role in border protection tasks. Acoustic and seismic sensors can effectively collect the signal of field vehicle targets real-time. Most temporal classification algorithms are based on extracting identifying handcrafted features. These focus signal's frequency-domain characteristics despise time-domain characteristics. To extract appropriate features, this article proposes a long-term correlation feature network (LTCFN) to perform acoustic...
Purpose The purpose of this paper is to study the influence lubricant temperature-viscosity on performance for a hydrodynamic journal floating ring bearing (FRB), including ring-journal speed ratio and stability. Design/methodology/approach finite difference method was used solve computational models Reynolds equation, energy equation temperature–viscosity equation. Dynamic coefficients were obtained based balance. dynamic model established deduce stability criterion single mass symmetrical...
The meta-model based optimization is widely used in the aerodynamical design process for rotating machines, and main industrial cost of such techniques comes from physical evaluations answers, either by experimental or numerical means. Design experiment (DoE) with Latin Hypercube sampling has been studied an automotive fan system engine cooling. Surrogate models constructed Kriging Co-Kriging methods are estimated help a reference model. objective present work to assess necessary number...
Due to the significant morbidity and mortality, psychiatric disorders have been recognized as a worldwide public health issue.
ABSTRACT This paper presents a traveltime inversion approach, using the reflection traveltimes from offset VSP data, to reconstruct horizontal and vertical velocities for stratified anisotropic media. The inverse problem is reduced set of linear equations, solved by singular value decomposition (SVD) technique. validity this scheme verified two sets synthetic data simulated finite‐difference method, one an isotropic model other elliptically model. result demonstrates that our velocity may be...
Malformed sperm is an important cause of male infertility, and morphology analysis (SMA) effective means to diagnose morphology. Deep learning assists enhance performance on precise SMA; however, existing deep based SMA methods mostly focus single cell scale, which presents a challenge for obtaining single-sperm-image datasets (one per image). It also challenging integrate current object detection models low-performance devices. This paper lightweight model detection. By removing 50%...