39 Result(s)
within
Chapter
**nli Liu
Computer Science
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Chapter and Conference Paper
MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks
Text detection and recognition in natural scenes is an im- important task in computer vision. However, most of the texts in natural scenes are curved, and the text background is complex and diverse. In recent ...
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Chapter and Conference Paper
An Enhanced Model Based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases
Chronic Obstructive Pulmonary Disease (COPD) is the third leading cause of death in China and has caused serious affect to health and life quality. However, the disease stage of COPD patient is difficult to be...
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Chapter and Conference Paper
A Feature Extraction Algorithm Based on Blockchain Storage that Combines ORB Feature Points and Quadtree Division
In the process of 5G power grid inspection robot moving for a long time, the sensor constantly collects the feature information of the substation. Due to the limited memory capacity, this feature information m...
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Chapter and Conference Paper
PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection
Blood testing has always been one of the important methods for disease diagnosis, but currently, blood testing instruments face the problems of long time consumption, complex processes, and limited detection t...
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Chapter and Conference Paper
LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-Connection and Dropconnect
Blood testing is an important basis for the diagnosis of many diseases. However, the accuracy of detection instruments in hospitals is often not high, and manual detection of blood samples is sometimes necessa...
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Chapter and Conference Paper
A Joint Learning Model for Open Set Recognition with Post-processing
In open set recognition (OSR), the model not only needs to correctly recognize known class samples, but also needs to be able to effectively reject unknown samples. To address this problem, we propose a joint ...
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Chapter and Conference Paper
Novel TD-based Adaptive Control for Nonlinearly Parameterized Stochastic Systems
In this article, the adaptive tracking control of nonlinearly parameterized stochastic systems is developed via the nonlinear tracking differentiator technique. First, the Barrier Lyapunov function (BLF) is br...
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Chapter and Conference Paper
An Effective Data Balancing Strategy Based on Swarm Intelligence Algorithm for Malicious Code Detection and Classification
Data balance has a great impact on the performance of neural network training model, and the model trained with high-quality data is often more robust. In the task of malicious code detection and classificatio...
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Chapter and Conference Paper
SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning
Researchers have proposed various structured Convolutional Neural Networks (CNNs) pruning strategies to make them work efficiently on edge devices. However, most of them focus on reducing the number of filter ...
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Chapter and Conference Paper
Hybrid Domain Convolutional Neural Network for Memory Efficient Training
For many popular Convolutional Neural Networks (CNNs), memory has become one of the major constraints for their efficient training and inference on edge devices. Recently, it is shown that the bottleneck lies ...
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Chapter and Conference Paper
Research on Off-Path Exploits of Network Protocols
With the rapid development of the Internet industry, from a global perspective, the risks brought by network security are becoming increasingly prominent, and continue to penetrate into political, economic, cu...
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Chapter and Conference Paper
Short Text Processing for Analyzing User Portraits: A Dynamic Combination
The rich digital footprint left by users on the Internet has led to extensive researches on all aspects of Internet users. Among them, topic modeling is used to analyze text information posted by users on webs...
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Chapter and Conference Paper
A Multilevel Trusted Clustering Mechanism for the Awareness Layer of the Internet of Things
In order to solve the data transmission security problem of the sensing network, this paper proposes a multi-level trusted clustering mechanism. The proposed mechanism combines multi-level clustering, identity...
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Chapter and Conference Paper
Performance of Transmitted Reference UWB Communication System with Time-Hop** Multiple Access
Transmitted reference (TR) system has become an attractive non-coherent ultra-wideband (UWB) communications due to its simple structure, no need for channel estimation, low synchronization requirements, and ro...
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Chapter and Conference Paper
Improved UWB Indoor Positioning Algorithms Based on BP Neural Network Model
Ultra-wideband (UWB) localization technique has been considered as a promising candidate for short-range positioning applications because of its advantages in terms of accuracy and penetrability. In this paper...
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Chapter and Conference Paper
The Effect of an Integrated E-health Care Model on the Health and Life-Style of Chinese Elderly: Study Protocol
Background: Establishing a comprehensive community-based elderly care service system has become a major strategy to address aging issues in China. E-health applications such as a self-monitoring health device cou...
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Chapter and Conference Paper
Improved Ultra-wideband Pulse Sha** Technique Based on Spectrum Shifted Gaussian Waveforms
In the ultra-wideband (UWB) communication system, Gaussian monocycle is the most frequently used due to its simplicity. However, in a Gaussian monocycle, the most of signal energy is concentrated in low freque...
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Chapter and Conference Paper
The Effect of Hypertension Health Management (HHM) Using IT for the Elderly: A Case Study in an Underdeveloped Area of China
Purpose We performed a study to determine the effects and influencing factors of a hypertension health management (HHM) program in elderly residents of Chengguan District in Lanzhou City, Gansu Province, China.
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Chapter and Conference Paper
A Remote Online Condition Monitoring and Intelligent Diagnostic System for Wind Turbine
Wind power has become one of the most popular renewable resources around the world. As the capacity of installed wind power increases, there is a constant need to minimise downtime and maximise productivity. ...
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Chapter and Conference Paper
A Diagnostic Knowledge Model of Wind Turbine Fault
With the development of the wind power industry, wind power has become one of the main green generation energy. At the same time, with the wind power installed capacity increasing, the failure rate gradually g...
