9,513 Result(s)
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Chapter and Conference Paper
SyncRec: A Synchronized Online Learning Recommendation System
With the rapid development of digitalization and big data technology, numerous online learning materials have become available for self-regulated online learning. However, there is still a lack of a practical ...
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Chapter and Conference Paper
M \(^2\) Sim: A Long-Term Interactive Driving Simulator
Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...
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Chapter and Conference Paper
TU-Former: A Hybrid U-Shaped Transformer Network for SAR Image Denoising
In order to obtain a better synthetic aperture radar (SAR) image noise suppression effect, we combine Convolutional Neural Network (CNN) and Transformer network to construct a U-shaped hybrid Transformer (TU-f...
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Chapter and Conference Paper
A General Federated Learning Scheme with Blockchain on Non-IID Data
The security of machine learning has received a lot of attention from the community. Federated learning enables more secure training processes of models in machine learning via local training and parameter int...
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Chapter and Conference Paper
Biomedical Named Entity Recognition Based on Multi-task Learning
Under the background of big data era, the literature in the field of biomedicine has increased explosively. Named Entity Recognition (NER) is able to extract key information from large amounts of text quickly ...
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Chapter and Conference Paper
The Effect of Color on Responsiveness in the Interactive Interface of the Space Station Alerting Task (SSAT)
This study evaluates the effect of warning colors of different hues, brightness, and saturation on human color perception performance by conducting a space system fault alarm color keystroke experiment with 80...
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Chapter and Conference Paper
Research on Video Real-Time Analysis and Recognition Algorithm Suitable for Transmission Line Corridor Environment
The video real-time analysis and recognition is critical in environment suitable for transmission line corridors, however it has an issue with erroneous performance positioning. The typical Deep learning algor...
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Chapter and Conference Paper
Long-Term Interactive Driving Simulation: MPC to the Rescue
Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...
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Chapter and Conference Paper
Research on Edge Computing Terminal for Low-Power Online Video Streaming Analysis
The edge computing terminal research is critical in low-power online video stream analysis, however it has an issue with erroneous performance positioning. The typical Particle swarm arithmetic is unable to ad...
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Chapter and Conference Paper
A Summary Research of the Current Status, Hot Spots and Trends in STEM Education
In the context of the publication of the “Thirteenth Five-Year Plan for Educational Informationization,” and China’s entry into the era of education informatization, the integration of information technology a...
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Chapter and Conference Paper
T1 and T2 Map** Reconstruction Based on Conditional DDPM
Cardiac magnetic resonance imaging (CMR) has emerged as a crucial imaging modality for the diagnosis of cardiac diseases. T1 and T2 map** are essential techniques for detecting cardiomyopathies. However, the...
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Chapter and Conference Paper
Understanding Supply Chain Resilience as a Multi-level Framework: A Systematic Literature Review
Supply chain resilience (SCRes) has received considerable attention from scholars and practitioners because organizations and supply chains are facing increasing disasters, uncertainties, and risks. They seek ...
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Chapter and Conference Paper
Representative UPDRS Features of Single Wearable Sensor for Severity Classification of Parkinson’s Disease
Parkinson’s disease (PD) is a common neurodegenerative disease. So far, there is no cure for this disease, but the right medicine can slow down the progress of the disease. Therefore, early diagnosis of this d...
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Chapter and Conference Paper
SVFNeXt: Sparse Voxel Fusion for LiDAR-Based 3D Object Detection
Voxel-based 3D object detection methods have gained more popularity in autonomous driving. However, due to the sparse nature of LiDAR point clouds, voxels from conventional cubic partition lead to incomplete r...
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Chapter and Conference Paper
Research on the Verification Method of Capillary Viscometer Based on Connected Domain
In order to solve the problem that the dust in the insulation cabinet is mistakenly identified as the liquid level in the process of automatic verification of the capillary viscometer, this paper studied the v...
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Chapter and Conference Paper
Research on Defective Apple Detection Based on Attention Module and ResNet-50 Network
In defective apple detection, stem and calyx are easily confused with defects, and the detection accuracy of defective apples is lower. In order to solve these problems, this paper proposes a defective apple d...
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Chapter and Conference Paper
High-Quality PRNU Anonymous Algorithm for JPEG Images
The utilization of Photo Response Non-Uniformity (PRNU) technology has found extensive application in the field of multimedia forensics, particularly in the authentication of the original camera source of an i...
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Chapter and Conference Paper
Research on Lightweight Pedestrian Detection Method Based on YOLO
Aiming at the problems of large size, high calculation cost and slow detection speed of current pedestrian detection models, this paper proposes a lightweight improved pedestrian detection algorithm based on Y...
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Chapter and Conference Paper
Practical Single-Round Secure Wildcard Pattern Matching
Secure pattern matching allows a client who holds a substring (pattern) to find all the substring’s locations appearing in the long string (text) stored in a server. Meanwhile, the server should not learn any ...
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Chapter and Conference Paper
Research on Deep Learning-Based Lightweight Object Gras** Algorithm for Robots
In order to enhance the efficiency and accuracy of robots in automated production lines and address issues such as inaccurate positioning and limited real-time capabilities in robot-controlled gras**, a deep...
