118 Result(s)
within
Conference Paper
Feng** Wu
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Chapter and Conference Paper
A Compact Graphene-Based Hot Electron Bolometer System for Terahertz Radiation Detection
In this paper, we present the development of a compact hot electron bolometer (HEB) system for terahertz radiation detection. The bolometer system integrates a graphene-based HEB as its core detection unit and...
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Chapter and Conference Paper
Conceptual Design and Analysis of a Novel Magnetic Braking Descent Device
This paper presents a magnetic braking descent device that includes a webbing winding mechanism, a speed-increasing mechanism, and an axial flux permanent magnet (AFPM) eddy current braking mechanism. The desi...
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Chapter and Conference Paper
An Intelligent Optimization Algorithm Based on Adaptive Change Mechanism
Aiming at the urgent need and existing bottleneck of model parameter optimization in data enrichment in engine design and application, the problem of large dispersion of data enrichment results caused by the u...
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Chapter and Conference Paper
KGRL: A Method of Reinforcement Learning Based on Knowledge Guidance
Reinforcement learning usually starts from scratch. Due to the characteristic of receiving feedback from interactions with the environment, starting from scratch often leads to excessive unnecessary exploratio...
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Chapter and Conference Paper
Deep-Aware Network for Removing Single Haze
Some dehazing methods based on traditional statistical theory are prone to suffering from the higher complexity and resulting in some lower degeneration phenomenon such as a few halo with discontinuities and l...
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Chapter and Conference Paper
Introducing Semantic-Based Receptive Field into Semantic Segmentation via Graph Neural Networks
Current semantic segmentation models typically use deep learning models as encoders. However, these models have a fixed receptive field, which can cause mixed information within the receptive field and lead to...
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Chapter and Conference Paper
Design and Implementation of Deep Learning Real-Time Streaming Video Data Processing System
With the arrival of big data era and the rapid development of artificial intelligence, deep learning has made breakthroughs in many fields. However, although it has been widely used in many fields, there are s...
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Chapter and Conference Paper
Application of Big Data Analysis Technology in Music Style Recognition and Classification
In the network era, the traditional audio-visual archives management is impacted by the rich network information and is facing the dilemma of being marginalized. In order to improve the effect of style recogni...
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Chapter and Conference Paper
Application of Emotion Recognition Technology Based on Support Vector Machine Algorithm in Interactive Music Visualization System
Music visualization is a kind of non-subjective interpretation and judgment of music expression with vision as the core, and it is a presentation technology for understanding, analyzing and comparing the expre...
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Chapter and Conference Paper
A GAN-Based Real-Time Covert Energy Theft Attack Against Data-Driven Detectors
The advanced metering infrastructure (AMI) system has been rapidly established around the world, effectively improving the communication capability of the power system. Problematically, it turns out malicious ...
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Chapter and Conference Paper
Research on the Relationship Between Geographical Conditions Monitoring Data and Land Surface Temperature
It is of great significance for analysis between land cover and land surface temperature (LST) which could improve the urban thermal environment. In this paper, we obtained the LST by the Radiative Transfer Eq...
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Chapter and Conference Paper
Optimization Operation of Integrated Energy System Based on IGDT
With the increasingly serious problems of energy shortage and environmental pollution, it is important to strengthen the research on integrated energy system (IES). However, the uncertainty of wind and photovo...
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Chapter and Conference Paper
Research on Ecosystem Status Evaluation of Open-Pit Mines
The evaluation of ecological restoration of mines is an important part of ecological environment protection. In this paper, we first constructed the evaluation system suitable for open-pit mines in mountainous...
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Chapter and Conference Paper
Context-Adapted Multi-policy Ensemble Method for Generalization in Reinforcement Learning
Generalizability is a formidable challenge in applying reinforcement learning to the real world. The root cause of poor generalization performance in reinforcement learning is that generalization from a limite...
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Chapter and Conference Paper
Electron Microscopy Image Registration with Transformers
We propose a new encoder-decoder framework based on transformer for electron microscopy (EM) image registration. Current image registration methods mostly require long running time and complicated parameter tu...
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Chapter and Conference Paper
Overall Survival Time Prediction of Glioblastoma on Preoperative MRI Using Lesion Network Map**
Glioblastoma (GBM) is the most aggressive malignant brain tumor. Its poor survival rate highlights the pressing need to adopt easily accessible, non-invasive neuroimaging techniques to preoperatively predict G...
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Chapter and Conference Paper
Structure-Decoupled Adaptive Part Alignment Network for Domain Adaptive Mitochondria Segmentation
Existing methods for unsupervised domain adaptive mitochondria segmentation perform feature alignment via adversarial learning, and achieve promising performance. However, these methods neglect the differences...
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Chapter and Conference Paper
SkaNet: Split Kernel Attention Network
Recently, convolutional neural networks (CNNs) and vision transformers (ViTs) have shown impressive results in the area of light-weight models for edge devices. However, the dominant CNNs and ViTs architecture...
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Chapter and Conference Paper
A Review of Deep Reinforcement Learning Exploration Methods: Prospects and Challenges for Application to Robot Attitude Control Tasks
In recent years, deep reinforcement learning has been widely used in the real world, such as in robot control and autonomous driving. However, the sample-inefficient of deep reinforcement learning prevents its...
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Chapter and Conference Paper
Effects of 8-hour Simulated Flight on Cognitive Function and Performance of Volunteers
Objective. To study the effects of 8-h simulated flight task on cognitive function and performance of volunteers, and to evaluate the workload of simulated flight. Methods. The subjects started the simulated flig...
