Jiandong Mao
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View article: Dust Aerosol Classification in Northwest China Using CALIPSO Data and an Enhanced 1D U-Net Network
Dust Aerosol Classification in Northwest China Using CALIPSO Data and an Enhanced 1D U-Net Network Open
Dust aerosols significantly affect climate and air quality in Northwest China (30–50° N, 70–110° E), where frequent dust storms complicate accurate aerosol classification when using CALIPSO satellite data. This study introduces an Enhanced…
View article: Vertical Stratification of Dust and Anthropogenic Aerosols and Their Seasonal Impact on Radiative Forcing in Semi-Arid Northwest China
Vertical Stratification of Dust and Anthropogenic Aerosols and Their Seasonal Impact on Radiative Forcing in Semi-Arid Northwest China Open
Aerosol optical properties and radiative forcing critically influence Earth’s climate, particularly in semi-arid regions. This study investigates these properties in Yinchuan, Northwest China, focusing on aerosol optical depth (AOD), singl…
View article: A novel lidar signal-denoising method based on IPSO-VMD-ISVD algorithm
A novel lidar signal-denoising method based on IPSO-VMD-ISVD algorithm Open
As atmospheric lidar signals are susceptible to various noises, the quality and accuracy of the signals are seriously affected. For this problem, this paper proposed a joint denoising method combining variational mode decomposition (VMD), …
View article: Prediction of Atmospheric Bioaerosol Number Concentration Based on PKO–AGA–SVM Fusion Algorithm and Fluorescence Lidar Telemetry
Prediction of Atmospheric Bioaerosol Number Concentration Based on PKO–AGA–SVM Fusion Algorithm and Fluorescence Lidar Telemetry Open
In order to realize early warning prediction of the distribution characteristics of atmospheric bioaerosol content, this paper proposes using fluorescence lidar as a technical means to establish a prediction model of atmospheric bioaerosol…
View article: Inversion of vertical mass concentration of non-spherical aerosols using multi-wavelength lidar
Inversion of vertical mass concentration of non-spherical aerosols using multi-wavelength lidar Open
A method of inversion the vertical mass concentration of non-spherical aerosols is proposed in this paper and the effect of particle shape, complex refraction index and wavelength on the inversion is investigated. The experiment of multi-w…
View article: Correlation between atmospheric turbulence and cloud microphysical parameters detected by a novel variable dual field of view multiple scattering Raman lidar
Correlation between atmospheric turbulence and cloud microphysical parameters detected by a novel variable dual field of view multiple scattering Raman lidar Open
As a crucial component of atmospheric dynamics, atmospheric turbulence significantly influences the interactions between aerosols, clouds, and precipitation and is closely linked to the formation and development of clouds and precipitation…
View article: Hyperspectral and 1D‐CNN‐Based Early Monitoring Study of Mite Infestation on <i>Lycium barbarum</i> Sprouts
Hyperspectral and 1D‐CNN‐Based Early Monitoring Study of Mite Infestation on <i>Lycium barbarum</i> Sprouts Open
Lycium barbarum sprouts, as a green food with significant development potential, are vulnerable to pests and diseases, particularly mite infestation that can cause leaf distortion and deformation, severely impacting yield and quality. Hype…
View article: Synergistic Integration of Zsm-5 and Zn-Ha in Electrospun Pbat/Pvp Dressing for Multifunctional Acute Wound Healing
Synergistic Integration of Zsm-5 and Zn-Ha in Electrospun Pbat/Pvp Dressing for Multifunctional Acute Wound Healing Open
View article: Modeling analysis and experiments of dual-FOV multiple scattering Raman lidar for detecting water cloud microphysical properties
Modeling analysis and experiments of dual-FOV multiple scattering Raman lidar for detecting water cloud microphysical properties Open
Clouds are the primary regulators of the Earth’s climate, but the mechanisms through which they influence climate are poorly understood. Probing the microphysical properties of liquid water clouds is an urgent need for research on the Eart…
View article: An Arrhythmia Classification Model Based on a CNN-LSTM-SE Algorithm
An Arrhythmia Classification Model Based on a CNN-LSTM-SE Algorithm Open
Arrhythmia is the main cause of sudden cardiac death, and ECG signal analysis is a common method for the noninvasive diagnosis of arrhythmia. In this paper, we propose an arrhythmia classification model based on the combination of a channe…
View article: Design of a water vapor spectroscopy system for Raman lidar based on sampled fiber Bragg grating
Design of a water vapor spectroscopy system for Raman lidar based on sampled fiber Bragg grating Open
Aiming to minimize the interference of Mie-Rayleigh scattering and solar background light on the water vapor Raman lidar, this study proposes a multi-cascade water vapor spectroscopy system based on sampling fiber Bragg grating (SFBG) and …
View article: A novel lidar signal denoising method based on variational mode decomposition optimized using whale algorithm
A novel lidar signal denoising method based on variational mode decomposition optimized using whale algorithm Open
Original lidar return signals are covered by high levels of noise that seriously affect the accuracy of subsequent data processing and inversion. Therefore, it is important to separate the effective signal from the returned signal with noi…
View article: A lidar for detecting atmospheric turbulence based on modified Von Karman turbulence power spectrum
A lidar for detecting atmospheric turbulence based on modified Von Karman turbulence power spectrum Open
Introduction: Atmospheric turbulence is a kind of random vortex motion. A series of turbulent effects, such as fluctuation of light intensity, occur when laser is transmitted in atmospheric turbulence. Methods: In order to verify the possi…
View article: Forecasting and alert of atmospheric bioaerosol concentration profile based on adaptive genetic algorithm back propagation neural network, atmospheric parameter and fluorescence lidar
Forecasting and alert of atmospheric bioaerosol concentration profile based on adaptive genetic algorithm back propagation neural network, atmospheric parameter and fluorescence lidar Open
Bioaerosols are biologically originated particles in the atmosphere, which is mainly composed of bacteria, fungi, viruses, pollen, spores, and the fragmentation and disintegration of plants and animals. Bioaerosols are easy to be spread in…
View article: An Inversion Method of Non-Spherical Aerosol Vertical Mass Concentration and the Effect of Particle Shape and Optical Properties on the Inversion Results
An Inversion Method of Non-Spherical Aerosol Vertical Mass Concentration and the Effect of Particle Shape and Optical Properties on the Inversion Results Open
View article: Forecasting Bioaerosol Concentration Utilizing Convolutional Neural Network and Fluorescence Lidar in the Atmosphere
Forecasting Bioaerosol Concentration Utilizing Convolutional Neural Network and Fluorescence Lidar in the Atmosphere Open
View article: A novel lidar signal noise reduction algorithm based on improved deep belief network
A novel lidar signal noise reduction algorithm based on improved deep belief network Open
To reduce noise in the lidar return signal, an improved deep belief network (DBN) denoising algorithm is proposed in this study. In the traditional implementation process of DBN, a multi-layer fully connected network is realized by stackin…
View article: Method of Incomplete Leaf Recognition Based on Artificial Neural Network
Method of Incomplete Leaf Recognition Based on Artificial Neural Network Open
Plant classification is the basic work for plant research, and it is of great significance to explore the relationship among plants. It is the most direct, effective and simple method to classify and recognize plants by features of plant l…
View article: Early Detection of Coronary Microvascular Dysfunction Using Machine Learning Algorithm Based on Vectorcardiography and Cardiodynamicsgram Features
Early Detection of Coronary Microvascular Dysfunction Using Machine Learning Algorithm Based on Vectorcardiography and Cardiodynamicsgram Features Open
As a main etiology of myocardial ischemia, coronary microvascular dysfunction (CMD) can occur in patients with or without obstructive coronary artery disease. Currently, there is a lack of a non-invasive approach for early detection of CMD…
View article: Retrieval of particle size distribution based on a multi-objective genetic algorithm for multi-wavelength lidar
Retrieval of particle size distribution based on a multi-objective genetic algorithm for multi-wavelength lidar Open
Introduction: Aerosols affect the radiation budget of the Earth’s atmospheric system. The aerosol particle size distribution (PSD) is one of the main parameters for characterizing the effect of aerosol on radiative forcing. Methods: The ex…
View article: A Novel ECG Signal Denoising Algorithm Based on Sparrow Search Algorithm for Optimal Variational Modal Decomposition
A Novel ECG Signal Denoising Algorithm Based on Sparrow Search Algorithm for Optimal Variational Modal Decomposition Open
ECG signal processing is an important basis for the prevention and diagnosis of cardiovascular diseases; however, the signal is susceptible to noise interference mixed with equipment, environmental influences, and transmission processes. I…
View article: Novel Detection of Atmospheric Turbulence Profile Using Mie-Scattering Lidar Based on Non-Kolmogorov Turbulence Theory
Novel Detection of Atmospheric Turbulence Profile Using Mie-Scattering Lidar Based on Non-Kolmogorov Turbulence Theory Open
Turbulence can cause effects such as light intensity fluctuations and phase fluctuations when a laser is transmitted in the atmosphere, which has serious impacts on a number of optical engineering application effects and on climate improve…
View article: A Novel Lidar Signal Denoising Method Based on Gswoa-Vmd-Swttv Algorithm
A Novel Lidar Signal Denoising Method Based on Gswoa-Vmd-Swttv Algorithm Open
View article: The Inversion Algorithm of Water Cloud Microphysical Properties Using Multi-Scattering Multi-Wavelength Raman Lidar
The Inversion Algorithm of Water Cloud Microphysical Properties Using Multi-Scattering Multi-Wavelength Raman Lidar Open
View article: Entropy-based reliable non-invasive detection of coronary microvascular dysfunction using machine learning algorithm
Entropy-based reliable non-invasive detection of coronary microvascular dysfunction using machine learning algorithm Open
PurposeCoronary microvascular dysfunction (CMD) is emerging as an important cause of myocardial ischemia, but there is a lack of a non-invasive method for reliable early detection of CMD. AimTo develop an electrocardiogram (ECG)-based ma…
View article: A Novel Method For Measuring Cloud Condensation Nuclei Using Multi-Wavelength Raman Lidar
A Novel Method For Measuring Cloud Condensation Nuclei Using Multi-Wavelength Raman Lidar Open
View article: Stokes Parameters Measurement System Designed by Symmetric Polarization Spectrophotometry with Double Quarter-Wave Plate
Stokes Parameters Measurement System Designed by Symmetric Polarization Spectrophotometry with Double Quarter-Wave Plate Open
View article: Vertically-Resolved Profiles of Mass Concentrations of the Non-Spherical Aerosol
Vertically-Resolved Profiles of Mass Concentrations of the Non-Spherical Aerosol Open
View article: Novel Simulation and Analysis of Mie-Scattering Lidar for Detecting Atmospheric Turbulence Based on Non-Kolmogorov Turbulence Power Spectrum Model
Novel Simulation and Analysis of Mie-Scattering Lidar for Detecting Atmospheric Turbulence Based on Non-Kolmogorov Turbulence Power Spectrum Model Open
The Mie-scattering lidar can detect atmospheric turbulence intensity by using the return signals of Gaussian beams at different heights. The power spectrum method and Zernike polynomial method are used to simulate the non-Kolmogorov turbul…
View article: A Novel Lidar Signal-Denoising Algorithm Based on Sparrow Search Algorithm for Optimal Variational Modal Decomposition
A Novel Lidar Signal-Denoising Algorithm Based on Sparrow Search Algorithm for Optimal Variational Modal Decomposition Open
Atmospheric lidar is susceptible to the influence of light attenuation, sky background light, and detector dark currents during the detection process. This results in a large amount of noise in the lidar return signal. To reduce noise and …