Shuguo Yang
YOU?
Author Swipe
View article: ResCapsnet: a capsule network with CRAM and BiGRU for sound event detection
ResCapsnet: a capsule network with CRAM and BiGRU for sound event detection Open
Sound event detection (SED) is a challenging task where ambient sound events are detected from a given audio signal, which includes categorizing the events and estimating their onset and offset times. Deep learning methods such as convolut…
View article: Research on the Mechanism and Path of Integrating Farming and Reading Education into the Practical Curriculum System of Agricultural and Forestry Universities
Research on the Mechanism and Path of Integrating Farming and Reading Education into the Practical Curriculum System of Agricultural and Forestry Universities Open
It is an important talent support in rural revitalization to the personnel training of Agricultural and Forestry University in the new era. Integrating farming and reading education into the practical curriculum system of agricultural and …
View article: Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data
Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data Open
Accurate sea surface temperature (SST) prediction is vital for disaster prevention, ocean circulation, and climate change. Traditional SST prediction methods, predominantly reliant on time-intensive numerical models, face challenges in ter…
View article: Profile Autonomous Underwater Vehicle System for Offshore Surveys
Profile Autonomous Underwater Vehicle System for Offshore Surveys Open
Offshore marine engineering, offshore aquaculture, and offshore environmental protection require periodic offshore surveys. At present, the main means of offshore marine surveys are mooring buoys and marine survey ships. Anchored buoys are…
View article: Reconstruction of Subsurface Salinity Structure in the South China Sea Using Satellite Observations: A LightGBM-Based Deep Forest Method
Reconstruction of Subsurface Salinity Structure in the South China Sea Using Satellite Observations: A LightGBM-Based Deep Forest Method Open
Accurately estimating the ocean’s interior structures using sea surface data is of vital importance for understanding the complexities of dynamic ocean processes. In this study, we proposed an advanced machine-learning method, the Light Gr…
View article: Research on the Optimized Management of Agricultural Machinery Allocation Path Based on Teaching and Learning Optimization Algorithm
Research on the Optimized Management of Agricultural Machinery Allocation Path Based on Teaching and Learning Optimization Algorithm Open
With the adjustment of agricultural industry structure and the acceleration of land transfer in our country, the appropriate management level of continuous, large scale and intensive farming has remarkably improved, which has put forward a…
View article: Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm Open
Aiming at the imbalance of seasonal agricultural machinery operations in different regions and the low efficiency of agricultural machinery, an experiment is proposed to use particle swarm algorithm to plan agricultural machinery paths to …
View article: Subsurface Temperature Estimation from Sea Surface Data Using Neural Network Models in the Western Pacific Ocean
Subsurface Temperature Estimation from Sea Surface Data Using Neural Network Models in the Western Pacific Ocean Open
Estimating the ocean subsurface thermal structure (OSTS) based on multisource sea surface data in the western Pacific Ocean is of great significance for studying ocean dynamics and El Niño phenomenon, but it is challenging to accurately es…
View article: Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm
Optimization of Agricultural Machinery Allocation in Heilongjiang Reclamation Area Based on Particle Swarm Optimization Algorithm Open
Aiming at the imbalance of seasonal agricultural machinery operations in different regions and the low efficiency of agricultural machinery, an experiment is proposed to use particle swarm algorithm to plan agricultural machinery paths to …
View article: Passenger Flow Prediction based on Recurrent Neural Networks and Wavelet Transform
Passenger Flow Prediction based on Recurrent Neural Networks and Wavelet Transform Open
It is a great significance for the accurate and real-time prediction of passenger flow in rail transit operation. In the process of passenger flow prediction, the new method of recurrent neural networks (RNNs) can well solve the problems o…
View article: Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems
Multi-Dimensional Taylor Network-Based Adaptive Output-Feedback Tracking Control for a Class of Nonlinear Systems Open
In this paper, the output feedback adaptive multi-dimensional Taylor network (MTN) tracking control for a class of nonlinear systems with unmeasurable states is investigated. Firstly, a nonlinear state observer is designed to estimate the …
View article: Research on Improving College Students' Practical Ability based on Virtual Business Society Environment
Research on Improving College Students' Practical Ability based on Virtual Business Society Environment Open
With the increasing popularity of higher education in recent years, the employment situation is increasingly severe, and the employment channels are diversified. Under the influence of today's severe employment situation, entrepreneurship …
View article: An Image Watermarking Algorithm Based on Discrete Hopfield Neural Network Encryption
An Image Watermarking Algorithm Based on Discrete Hopfield Neural Network Encryption Open
With the rapid development of science and information technology, it is more and more important to design a robust image watermarking algorithm to protect the intellectual property and information security of images. First of all, this pap…
View article: Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone
Adaptive Multi-Dimensional Taylor Network Tracking Control for a Class of Stochastic Nonlinear Systems With Unknown Input Dead-Zone Open
In this paper, a multi-dimensional Taylor network (MTN) tracking control scheme is proposed for a class of stochastic nonlinear systems with unknown input dead-zone. The MTNs are used to approximate the nonlinearities, and then, an adaptiv…