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Chapter and Conference Paper
Time-Series Forecasting Through Contrastive Learning with a Two-Dimensional Self-attention Mechanism
Contrastive learning methods have impressive capabilities in time-series representation; however, challenges in capturing contextual consistency and extracting features that meet the requirements of representa...
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Chapter and Conference Paper
Determination Method of Solid-State Diffusion Coefficient for Lithium-Ion Batteries Based on Electrochemical Impedance Model
The solid-state diffusion coefficient is an important parameter to characterize the kinetics performance of lithium-ion batteries. It is the basis for establishing accurate electrochemical models. In this pape...
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Chapter and Conference Paper
Time Series Additive Outlier Detection (OD) Algorithm Based on Residual Statistics
With the rapid development of information technology, the cost of server operation and maintenance is higher and higher, and one of the core problems of server operation and maintenance is to pay attention to ...
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Chapter and Conference Paper
Fault Diagnosis for Lithium-Ion Batteries in Electric Vehicles Based on VMD and Edit Distance
Thermal runaway accidents of lithium-ion batteries have occurred frequently in recent years, which have seriously affected its further promotion and application. In the early stage of battery faults, its exter...
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Chapter and Conference Paper
Power Data Sharing Model Based on Blockchain and IPFS Storage
With the rapid development of information technology, the electric power industry has also accelerated informatization process. To improve the efficiency of information management and optimize customer service...
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Chapter and Conference Paper
Research on Development Trend of Ocean Energy at China and Abroad Based on Bibliometrics
Ocean energy refers to renewable energy derived from ocean water bodies, mainly including wave energy, tidal energy, tidal current energy, thermal energy and salinity gradient energy. As a renewable and enviro...
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Chapter and Conference Paper
Rapid Impedance Spectroscopy Reconstruction Based on M Sequence for SOH Estimation of Lithium-Ion Battery
The longer measurement time and high equipment cost of traditional electrochemical impedance spectroscopy (EIS) testing techniques make it difficult to be applied to engineering practice. To address the above ...
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Chapter and Conference Paper
LMConvMorph: Large Kernel Modern Hierarchical Convolutional Model for Unsupervised Medical Image Registration
Medical image registration is a crucial task for numerous medical applications, such as radiation therapy planning and surgical navigation. While deep learning methods have shown promise in improving registrat...
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Chapter and Conference Paper
Research on Capacity Configuration of On-Board and Wayside Coordinated Energy Storage System Based on Urban Rail Transit
With the rapid development of energy storage technology, energy storage has become the international mainstream solution to the problem of urban rail regenerative energy utilization, including both wayside and...
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Chapter and Conference Paper
Trajectory Optimization for UAV-Aided Data Collections
The application of the unmanned aerial vehicles (UAV) in future wireless networks is getting more and more popular. This article investigates the flight trajectory optimization problem with minimum energy cons...
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Chapter and Conference Paper
A Surface Fitting Image Super-Resolution Algorithm Based on Triangle Mesh Partition
High-frequency information such as image edges and textures have an important influence on the visual effect of the super-resolution images. Therefore, it is vital to maintain the edge and texture features of ...
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Chapter and Conference Paper
BIDGAN: Blind Image Deblurring with Improved CycleGAN and Frequency Filtering
The details of images can be severely impaired when they are captured in motion . To overcome such a blind image deblurring problem, we propose a deblurring method based on improved CycleGAN. This method can r...
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Chapter and Conference Paper
Application Research of Interaction Design in Human-Machine Interface of Automobile
With the continuous advancement of technology, the products in people’s lives are becoming more and more intelligent, but the existing automotive HUD (head-up display) on the market simply moves the driver’s s...
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Chapter and Conference Paper
Context-Aware Virtual Adversarial Training for Anatomically-Plausible Segmentation
Despite their outstanding accuracy, semi-supervised segmentation methods based on deep neural networks can still yield predictions that are considered anatomically impossible by clinicians, for instance, conta...
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Chapter and Conference Paper
Noncooperative Radar Illuminator Based Bistatic Receiving System
Target detection and tracking systems using illuminators of opportunity have received significant interest in the past few years. The passive bistatic radar system under investigation in this paper exploits no...
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Chapter and Conference Paper
A Brief Review of Image Restoration Techniques Based on Generative Adversarial Models
Images are possibly degraded by various reasons, the typical forms of degradation are: blur, noise, low resolution, and etc. Image restoration techniques try to recover the degraded images to the original imag...
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Chapter and Conference Paper
Cyclic DenseNet for Tumor Detection and Identification
How to correctly and efficiently detect and identify tumors has always been a core issue in the medical field. In order to improve the accuracy and efficiency of tumor detection, we proposed a DenseNet-based t...
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Chapter and Conference Paper
Stock Prediction Model Based on Wavelet Packet Transform and Improved Neural Network
With the advent of the era of big data, the network’s intervention in the stock market has deepened and the security of the stock market has been seriously threatened. In order to maintain the security of the ...
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Chapter and Conference Paper
Modeling and Analysis Brain Development via Discriminative Dictionary Learning
Research on modeling and exploring of the normal brain maturity, such as in vivo study of the anatomy of the develo** brain, can provide references for developmental pathologies. In this paper, we model and ...
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Chapter and Conference Paper
Attention Effects on the Processing of Task-Relevant and Task-Irrelevant Conflict
In the current study, a flanker task was used to explore whether the resolution of cognitive conflict is gated by top-down attention using event-related potentials. Task-relevant and task-irrelevant processing...