A5103209453- Spectroscopy and Chemometric Analyses
- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- EEG and Brain-Computer Interfaces
- Water Quality Monitoring and Analysis
- Advanced Chemical Sensor Technologies
- Synthesis and Catalytic Reactions
- Postharvest Quality and Shelf Life Management
- Chemical Synthesis and Analysis
- Phytochemicals and Antioxidant Activities
- Blind Source Separation Techniques
- Non-Destructive Testing Techniques
- Functional Brain Connectivity Studies
- Horticultural and Viticultural Research
- Smart Agriculture and AI
- Advanced Neural Network Applications
- Gaze Tracking and Assistive Technology
- Neural dynamics and brain function
- Power Systems and Renewable Energy
- Botanical Research and Applications
- Infant Nutrition and Health
- Hydrocarbon exploration and reservoir analysis
- Remote-Sensing Image Classification
- Health, Environment, Cognitive Aging
- 3D Surveying and Cultural Heritage
Guizhou Academy of Agricultural Sciences
2023-2024
Guiyang University
2018-2024
Southwest Jiaotong University
2022-2024
Northeast Petroleum University
2023
Northwest A&F University
2018-2022
Shanghai University of Electric Power
2021
Hohai University
2018-2020
The University of Melbourne
2015-2020
Southwest Petroleum University
2018
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2018
Classification of motor imagery electroencephalograph signals is a fundamental problem in brain–computer interface (BCI) systems. We propose this paper classification framework based on long short-term memory (LSTM) networks. To achieve robust classification, one dimension-aggregate approximation (1d-AX) employed to extract effective signal representation for LSTM Inspired by classical common spatial pattern, channel weighting technique further deployed enhance the effectiveness proposed...
Abstract Simultaneous pixel‐level detection of multiple distresses and surface design features on complex asphalt pavements is a critical challenge in intelligent pavement survey. This paper proposes deep‐learning model named ShuttleNet to provide an efficient solution for this by implementing robust semantic segmentation pavements. The proposed aims at repeating the encoding–decoding round freely or even endlessly such that contexts different resolution levels can be learned integrated many...
Human milk glycans inhibit binding between norovirus and its host glycan receptor; such competitive inhibition by human is associated with a reduced risk of infection. The relationship the presence specific structural motifs in ability to strains requires facile, accurate miniaturized-binding assays. Toward this end, high-throughput biosensor platform was developed based on surface plasmon resonance imaging (SPRi) microarrays. SPRi validated, utility tested, measuring specificities defined...
Common spatial pattern (CSP) is an efficient algorithm widely used in feature extraction of EEG-based motor imagery classification. Traditional CSP depends only on filtering, that aims to maximize or minimize the ratio variances filtered EEG signals different classes. Recent advances approaches show temporal filtering also preferable extract discriminative features. In view this perspective, a novel spatio-temporal strategy proposed paper. To improve computational efficiency and alleviate...
Automated pavement condition survey is of critical importance to road network management. There are three primary tasks involved in surveys, namely data collection, processing and evaluation. Artificial intelligence (AI) has achieved many breakthroughs almost every aspect modern technology over the past decade, undoubtedly offers a more robust approach automated survey. This article aims provide comprehensive review on collection systems, algorithms evaluation methods proposed between 2010...
Purpose: The aim of this study is to qualify the network properties brain networks between two different mental tasks (play task or rest task) in a healthy population. Methods and Materials: EEG signals were recorded from 19 subjects when performing tasks. Partial directed coherence analysis, based on Granger causality, was used assess effective during Moreover, measures, including degree, degree distribution, local global efficiency delta, theta, alpha beta rhythms calculated analysed....
Soluble solid content (SSC), firmness, and color ( L * , a b ) are important physicochemical indices for assessing the quality maturity of kiwifruits. Therefore, this research aimed to realize nondestructive detection visualization map kiwifruits at different stages by hyperspectral imaging coupled with chemometrics. To further improve accuracy working efficiency models, competitive adaptive reweighted sampling (CARS) successive projection algorithm were employed choose feature wavelengths...
Abstract The traditional method for assessing the quality and maturity of loquats has disadvantages such as destructive sampling being time-consuming. In this study, hyperspectral imaging technology was used to nondestructively predict visualise colour, firmness, soluble solids content (SSC) discriminate maturity. On comparison performance different feature variables selection methods calibration models, results indicated that multiple linear regression (MLR) models combined with competitive...
Abstract Detection of the moisture content (MC) and freshness for loquats is crucial achieving optimal taste economic efficiency. Traditional methods evaluating MC have disadvantages such as destructive sampling time‐consuming. To investigate feasibility rapid non‐destructive detection loquats, optical fiber spectroscopy in range 200–1000 nm was used this study. The full spectra were pre‐processed using standard normal variate method, then, effective wavelengths selected competitive adaptive...
Abstract Hyperspectral imaging technology coupled with chemometric algorithms was investigated to determine soluble solids content (SSC) and firmness in plum. A model of determining SSC plum established optimized. images two varieties “Red” “Green” plums were acquired by hyperspectral acquisition system. Two methods partial least square regression (PLSR) principal components (PCR) employed establish models based on full spectra. The multiple linear (MLR) error back propagation (BP) network...
Abstract The Ag I ‐promoted reaction of thiolactams with N‐ Boc amino acids yields an N ‐(α‐aminoacyl) lactam that can rearrange through acyl transfer process. Boc‐deprotection results in convergence to the ring‐expanded adduct, thereby facilitating overall insertion acid into thioamide bond generate medium‐sized heterocycles. Application site‐specific cyclic peptides is demonstrated.
Abstract The nondestructive detection of the quality attributes and maturity kiwifruits by using hyperspectral imaging technique chemometric algorithms were investigated. Two models partial least square regression principal components built up based on full variables. multiple linear (MLR) was designed to develop simplified feature variables chosen successive projection algorithm competitive adaptive reweighted sampling (CARS). Results showed that optimal CARS‐MLR model determine with RPD...
The aim of this study is to evaluate carotid atherosclerosis in patients type 2 diabetes mellitus with microalbuminuria (MA) by high-frequency ultrasonography. Two hundred and fifty were divided into two groups according urinary albumin excretion rate (UAER): normoalbuminuria group (130 cases) (120 cases). intimal-medial thickness (IMT) the atherosclerotic plaques artery observed both ultrasound. Fasting blood glucose (FBG), hemoglobin A1c, lipid profiles measured. values IMT significantly...
The AgI-promoted coupling reaction of thioamides and carboxylic acids is shown to be a useful method for the generation unsymmetrical imides. proceeds efficiently with unhindered electron-rich or neutral partners, but not hindered (such as thiopivalamides) electron deficient trifluorothioacetamides). Intriguingly, thioformamides are also ineffective despite having minimal steric electronic influence. Hindered acid partners pivalic acid) tolerated, acids, such trifluoroacetic acid, partners....