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Article
DCNet: exploring fine-grained vision classification for 3D point clouds
Fine-grained 3D point cloud classification is vital for shape analysis and understanding. However, due to the subtle inter-class differences and the significant intra-class variations, applying the existing po...
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Article
Hybrid feature fusion for classification optimization of short ECG segment in IoT based intelligent healthcare system
With more than 50 million people worldwide at risk of heart disease, early diagnosis of cardiovascular disease is essential. The classification of electrocardiogram (ECG) recordings can diagnose Atrial Fibrill...
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Article
Improving sEMG-based motion intention recognition for upper-limb amputees using transfer learning
Hand gesture recognition from multi-channel surface electromyography (sEMG) have been widely studied in the past decade. By analyzing muscle activities measured from forearm muscles, multiple hand gestures can...
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Chapter and Conference Paper
Research on Visual Servo Control System of Substation Insulator Washing Robot
This paper first describes the overall structure of the insulator washing robot, designs the visual servo control system structure of the insulator washing robot, and obtains the equipment position information...
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Chapter and Conference Paper
Research and Simulation of Fuzzy Adaptive PID Control for Upper Limb Exoskeleton Robot
In order to promote the rehabilitation of upper limb function of patients suffering from stroke, a homogeneous and homogeneous master-slave upper limb exoskeleton rehabilitation robot was designed based on the...
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Chapter and Conference Paper
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research. Deep learning methods have achieved good results in medical n...
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Chapter and Conference Paper
Detection of Damage and Failure Events of Road Infrastructure Using Social Media
We study the problem of estimating the state of road infrastructure, which is the backbone of transportation system. Road infrastructure can suffer from various issues, including structural failures, such as p...
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Chapter and Conference Paper
Grid-Based Colocation Mining Algorithms on GPU for Big Spatial Event Data: A Summary of Results
This paper investigates the colocation pattern mining problem for big spatial event data. Colocation patterns refer to subsets of spatial features whose instances are frequently located together. The problem i...
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Chapter and Conference Paper
Abnormal Crowd Motion Detection Using Double Sparse Representations
Sparse representation method has been well used in image analysis, restoration and recognition, and it has also been introduced to analysis of video crowd movements recent years. To improve its accuracy of det...
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Chapter and Conference Paper
A Spatio-Temporally Opportunistic Approach to Best-Start-Time Lagrangian Shortest Path
The Best-start-time Lagrangian Shortest Path (BLSP) problem requires choosing the start time that yields the shortest path in a time-dependent graph. The inputs to the problem are a spatio-temporal network, an...
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Chapter and Conference Paper
A New Extended Dominance Relation Approach Based on Probabilistic Rough Set Theory
A new extended dominance relation is proposed for multi-attribute decision making problems with preference and incomplete information. First, the concept of new extended dominance relation based on the possibi...
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Chapter and Conference Paper
On the Feedback Stabilization of Matrix
In this paper, several strategies for feedback stabilization of matrix are presented via the numerical stabilization of polynomial and matrix.
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Chapter and Conference Paper
The Incremental Learning Methodology of VPRS Based on Complete Information System
By considering the inconsistent character in many information system, the variable precision rough set (VPRS) model is introduced to solve decision-making problems in this paper. Firstly, the integrations of t...
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Chapter and Conference Paper
An Adaptive Threshold Neural-Network Scheme for Rotorcraft UAV Sensor Failure Diagnosis
This paper presents an adaptive threshold neural-network scheme for Rotorcraft Unmanned Aerial Vehicle (RUAV) sensor failure diagnosis. The approach based on adaptive threshold has the advantages of better det...