Shouxin Zhang
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View article: MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network Open
Deep neural networks (DNNs) typically employ an end-to-end (E2E) training paradigm which presents several challenges, including high GPU memory consumption, inefficiency, and difficulties in model parallelization during training. Recent re…
View article: Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters
Replacement Learning: Training Vision Tasks with Fewer Learnable Parameters Open
Traditional end-to-end deep learning models often enhance feature representation and overall performance by increasing the depth and complexity of the network during training. However, this approach inevitably introduces issues of paramete…
View article: GSO-YOLO: Global Stability Optimization YOLO for Construction Site Detection
GSO-YOLO: Global Stability Optimization YOLO for Construction Site Detection Open
Safety issues at construction sites have long plagued the industry, posing risks to worker safety and causing economic damage due to potential hazards. With the advancement of artificial intelligence, particularly in the field of computer …
View article: MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network Open
Deep neural networks (DNNs) typically employ an end-to-end (E2E) training paradigm which presents several challenges, including high GPU memory consumption, inefficiency, and difficulties in model parallelization during training. Recent re…
View article: Computational study of the carbon steel corrosion behaviors under alternating current based on the mathematical model
Computational study of the carbon steel corrosion behaviors under alternating current based on the mathematical model Open
In this paper, an alternating current (AC) corrosion mathematical model consisting of both the current and the potential information was derived based on the equivalent electric circuit. The model was solved numerically. The influences of …
View article: Natural Gas Demand Forecasting Model Based on LASSO and Polynomial Models and Its Application: A Case Study of China
Natural Gas Demand Forecasting Model Based on LASSO and Polynomial Models and Its Application: A Case Study of China Open
China aims to reduce carbon dioxide emissions and achieve peak carbon and carbon neutrality goals. Natural gas, as a high-quality fossil fuel energy, is an important transition resource for China in the process of carbon reduction, so it i…
View article: The corrosion behaviors of carbon steel under the effect of AC and imidazoline quaternary ammonium salt corrosion inhibitor
The corrosion behaviors of carbon steel under the effect of AC and imidazoline quaternary ammonium salt corrosion inhibitor Open
View article: Effects of AC interference on the corrosion behavior of X70 steel in seawater and acidic solutions
Effects of AC interference on the corrosion behavior of X70 steel in seawater and acidic solutions Open
The effect of alternating current (AC) and pH on the corrosion behavior of X70 steel was studied by electrochemical measurements and morphological analysis. With increasing pH value, the effects of AC on the cathodic reaction of X70 steel …
View article: Effect of alternating current and Cl- ions on corrosion behavior of X70 steel in NaCl solution
Effect of alternating current and Cl- ions on corrosion behavior of X70 steel in NaCl solution Open
The combined effect of alternating current (AC) and Cl- on the corrosion behavior of X70 steel was studied by conducting electrochemical experiments and evaluating corrosion morphology characteristics. The results show that the effect of A…
View article: Short-Term Traffic Prediction Based on Genetic Algorithm Improved Neural Network
Short-Term Traffic Prediction Based on Genetic Algorithm Improved Neural Network Open
This paper takes the time series of short-term traffic flow as research object. The delay time and embedding dimension are calculated by C-C algorithm, and the chaotic characteristics of the time series are verified by small data sets meth…
View article: A Comprehensive Review on Water Diffusion in Polymers Focusing on the Polymer–Metal Interface Combination
A Comprehensive Review on Water Diffusion in Polymers Focusing on the Polymer–Metal Interface Combination Open
Water diffusion in polymers is relevant to a broad range of physicochemical phenomena and technological processes. Although many fields contributed to rapid progress in the fundamental knowledge of water–polymer interactions, detailed unde…
View article: Experimental Data Treatment of the Pipeline Steel Polarization Curve under AC Interference
Experimental Data Treatment of the Pipeline Steel Polarization Curve under AC Interference Open
View article: Quantification of Temperature Dependence of Hydrogen Embrittlement in Pipeline Steel
Quantification of Temperature Dependence of Hydrogen Embrittlement in Pipeline Steel Open
The effects of temperature on bulk hydrogen concentration and diffusion have been tested with the Devanathan–-Stachurski method. Thus, a model based on hydrogen potential, diffusivity, loading frequency, and hydrostatic stress distribution…