11,381 Result(s)
within
Chapter
Qi** Li
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
A Hyperspectral and RGB Dataset for Building Façade Segmentation
Hyperspectral Imaging (HSI) provides detailed spectral information and has been utilised in many real-world applications. This work introduces an HSI dataset of building facades in a light industry environment...
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Chapter and Conference Paper
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
Recently, sequential recommendation has emerged as a widely studied topic. Existing researches mainly design effective neural architectures to model user behavior sequences based on item IDs. However, this kin...
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Chapter and Conference Paper
PVT-COV19D: COVID-19 Detection Through Medical Image Classification Based on Pyramid Vision Transformer
With the outbreak of COVID-19, a large number of relevant studies have emerged in recent years. We propose an automatic COVID-19 diagnosis model based on PVTv2 and the multiple voting mechanism. To accommodate...
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Chapter and Conference Paper
Chameleon DNN Watermarking: Dynamically Public Model Ownership Verification
Deep neural network (DNN) has made unprecedented leaps in functionality and usefulness in the past few years, revolutionizing various promising fields such as image recognition and machine translation. The tra...
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Chapter and Conference Paper
NeuralSI: Structural Parameter Identification in Nonlinear Dynamical Systems
Structural monitoring for complex built environments often suffers from mismatch between design, laboratory testing, and actual built parameters. Additionally, real-world structural identification problems enc...
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Chapter and Conference Paper
An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving
Object detection with high accuracy and fast inference speed based on camera sensors is important for autonomous driving. This paper develops a lightweight object detection network based on YOLOv5s which is on...
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Chapter and Conference Paper
SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking
3D multi-object tracking (MOT) has witnessed numerous novel benchmarks and approaches in recent years, especially those under the “tracking-by-detection” paradigm. Despite their progress and usefulness, an in-...
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Chapter and Conference Paper
When CNN Meet with ViT: Towards Semi-supervised Learning for Multi-class Medical Image Semantic Segmentation
Due to the lack of quality annotation in medical imaging community, semi-supervised learning methods are highly valued in image semantic segmentation tasks. In this paper, an advanced consistency-aware pseudo-...
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Chapter and Conference Paper
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Correspondence matching is a fundamental problem in computer vision and robotics applications. Solving correspondence matching problems using neural networks has been on the rise recently. Rotation-equivarianc...
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Chapter and Conference Paper
Research on the Method of Selecting the Optimal Feature Subset in Big Data for Energy Analysis Attack
At present, the application of machine learning in energy analysis attack is a research hot spot of energy analysis attack, and the selection of feature points is an important factor that affects the machine l...
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Chapter and Conference Paper
A True Random Number Generator Based on ADC Random Interval Sampling
This paper presents a true random number generator (TRNG) based on traditional Microcontroller Unit (MCU) with analog-to-digital converter (ADC). Within the proposed architecture, the MCU employs an ADC to con...
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Chapter and Conference Paper
What Makes for Automatic Reconstruction of Pulmonary Segments
3D reconstruction of pulmonary segments plays an important role in surgical treatment planning of lung cancer, which facilitates preservation of pulmonary function and helps ensure low recurrence rates. Howeve...
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Chapter and Conference Paper
SelectAug: A Data Augmentation Method for Distracted Driving Detection
With distracted driving becoming one of the main causes of traffic accidents, deep learning technology has been widely used in distracted driving detection, which achieves high accuracy when the training and t...
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Chapter and Conference Paper
The Variation Characteristic of EMG Signal Under Varying Active Torque: A Preliminary Study
Surface Electromyography (sEMG) or EMG contains a large amount of information about human kinematics and kinetics, and has been applied in different working environments. Devices like exoskeletons, smart brace...
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Chapter and Conference Paper
Design, Modeling and Experiments of a Modular Robotic Finger
The robot dexterous hand is a highly flexible and complex end-effector. In response to the complex drive transmission mechanical structure of the traditional humanoid dexterous hand and the difficulty of assem...
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Chapter and Conference Paper
Safety Assistance Strategy of Nursing Robot in Stand-To-Sit Movement
Stand-to-sit movement(SST) refers to the process from stand to sit, and the interaction of SST usually refers to the process of contact between people and the seat. SST is a relaxed and natural movement for no...
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Chapter and Conference Paper
Event-Triggered Secure Tracking Control for Fixed-Wing Aircraft with Measurement Noise Under Sparse Attacks
This study focuses on the secure tracking control problem of fixed-wing aircraft with multiple output sensors under sparse attacks and measurement noise, where the main challenge is to achieve secure state est...
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Chapter and Conference Paper
Application of the Edge Upsampling Network to Soft-Edge Regions in a 3D-Scanned Point Cloud
Large-scale 3D scanning data based on point clouds enable accurate and fast recording of complex objects in the real world. The edges in a scanned point cloud usually describe the complex 3D structure of the t...
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Chapter and Conference Paper
Surface Electromyography-Based Assessment of Muscle Contribution in Squatting Movements
The surface EMG signal is an electrophysiological signal generated by muscle contraction and collected by placing electrodes on the skin surface, which contains rich information about muscle function and state...
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Chapter and Conference Paper
Limited Time Fault Tolerant Control for Attitude Stabilization of Quadrotor UAV
