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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
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
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
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
An Adaptive Fuzzy Clustering Algorithm Based on Multi-threshold for Infrared Image Segmentation
To obtain the satisfied performance of infrared image segmentation in complex environments, an adaptive fuzzy clustering algorithm based on multi-threshold (AFC_MT) is proposed. The methodology uses a coarse-f...
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Chapter and Conference Paper
Nonparametric Discriminant Analysis Based on the Trace Ratio Criterion
Feature extraction is a hot topic in machine learning and pattern recognition. This paper proposes a new nonparametric linear feature extraction method called nonparametric discriminant analysis based on the t...
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Chapter and Conference Paper
10-Step Information Architecture on Wanfang Med Online
The paper first reviews the different definitions and the basic fundamentals of information architecture, then summarizes the creative-application experiences of IA in the field of Chinese medical-information ...
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Chapter and Conference Paper
Single Training Sample Face Recognition Based on Gabor and 2DPCA
Single training sample face recognition problem is a challenge in face recognition field, so the distinguished feature extracting is important step for improving the recognition correct rate under the conditio...
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Chapter and Conference Paper
Multilayered Contourlet Based Image Compression
After studying contourlet transform and multilayered image representation, we present a Multilayered Contourlet Based Image Compression algorithm (MCBIC) in this paper. It decomposes image into a superposition...
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Chapter and Conference Paper
Pattern Classification from Raster Data Using Vector Lenses, Neural Networks and Expert Systems
Satellite data is often used for a variety of applications in assessing the condition of the state of the earth’s surface or the immediate atmosphere. This problem is usually attacked by processing the raw dat...