41 Result(s)
within
Chapter
Conference Paper
Dong-**ng Wang
English
Artificial Intelligence
Image Processing and Computer Vision
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
VeriDL: Integrity Verification of Outsourced Deep Learning Services
Deep neural networks (DNNs) are prominent due to their superior performance in many fields. The deep-learning-as-a-service (DLaaS) paradigm enables individuals and organizations (clients) to outsource their DN...
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Chapter and Conference Paper
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection
Most existing AU detection works considering AU relationships are relying on probabilistic graphical models with manually extracted features. This paper proposes an end-to-end deep learning framework for facia...
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Chapter and Conference Paper
Application of Growth Curve in Agricultural Scientific Research
This paper introduces the application of logistic curve in agricultural science, and gives a division method of parameter estimation of logistic curve. Because the logistic curve contains three parameters, it ...
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Chapter and Conference Paper
China’s Wine Import Industry: An Economic Analysis of Influencing Trade Factors
In recent years, China is undergoing a huge economic transformation since joining in World Trade Organization (WTO) and it has showed an increasing demand for wine. As China’s wine consumption market is increa...
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Chapter and Conference Paper
The Study of the Work Parameters of the Corn Harvester Cutter
In this paper, the analytical method of multivariate variance is applied to study the function of the various performance factors of the straight-edge cylindrical cutter. Research results indicate that the mai...
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Chapter and Conference Paper
An Advanced Version of MDNet for Visual Tracking
Tracking-by-detection is an effective framework for visual tracking tasks. For example, the Multi-Domain Convolution Neural Network (MDNet) achieves outstanding results in multiple benchmarks. However, the t...
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Chapter and Conference Paper
Effects of Exogenous Gamma-Aminobutyric Acid on Absorption and Regulation of Ion in Wheat Under Salinity Stress
Gamma-aminobutyric acid (GABA), a four-carbon non-protein amino acid, is a significant component of the free amino acid pool, there are numerous reports that rapid and large increases in GABA levels occur in p...
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Chapter and Conference Paper
Enhanced LSTM with Batch Normalization
Recurrent neural networks (RNNs) are powerful models for sequence learning. However, the training of RNNs is complicated because the internal covariate shift problem, where the input distribution at each iter...
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Chapter and Conference Paper
Gated Contiguous Memory U-Net for Single Image Dehazing
Single image dehazing is a challenging problem that aims to recover a high-quality haze-free image from a hazy image. In this paper, we propose an U-Net like deep network with contiguous memory residual blocks...
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Chapter and Conference Paper
Similarity-Aware Deep Attentive Model for Clickbait Detection
Clickbait is a type of web content advertisements designed to entice readers into clicking accompanying links. Usually, such links will lead to articles that are either misleading or non-informative, making th...
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Chapter and Conference Paper
Sketch Based Model-Like Standing Style Recommendation
Various mobile devices with high-quality cameras are very popular in human daily life. Appropriate directions about the standing postures can greatly improve the user experience while taking photos. In this pa...
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Chapter and Conference Paper
UAPD: Predicting Urban Anomalies from Spatial-Temporal Data
Urban city environments face the challenge of disturbances, which can create inconveniences for its citizens. These require timely detection and resolution, and more importantly timely preparedness on the part...
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Chapter and Conference Paper
Classifying DNA Microarray for Cancer Diagnosis via Method Based on Complex Networks
Performing microarray expression data classification can improve the accuracy of a cancer diagnosis. The varying technique including Support Vector Machines (SVMs), Neuro-Fuzzy models (NF), K-Nearest Neighbor ...
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Chapter and Conference Paper
Prediction of Subcellular Localization of Multi-site Virus Proteins Based on Convolutional Neural Networks
Prediction of subcellular localization is critical for the analysis of mechanism and functions of proteins and biological research. A series of efficient methods have been proposed to identify subcellular loca...
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Chapter and Conference Paper
The Study on Grade Categorization Model of Question Based on on-Line Test Data
To tackle with the blindness of random questions choosing for exercise and test of the on-line learning system, this paper clusters questions exploiting various feature subsets and parameters via K-means. For...
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Chapter and Conference Paper
Identity Authentication Technology of Mobile Terminal Based on Cloud Face Recognition
The face recognition of mobile terminal plays an important role in the identity authentication technology. But there are some problems such as long detection time and low recognition rate due to the performanc...
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Chapter and Conference Paper
Improved Convolutional Neural Networks for Identifying Subcellular Localization of Gram-Negative Bacterial Proteins
Prediction of subcellular localization of Gram-negative bacterial proteins plays a vital role in the development of antibacterial drugs. Computational approaches have made remarkable progress in bacterial prot...
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Chapter and Conference Paper
Distributed Processing of Continuous Range Queries Over Moving Objects
With the widespread usage of wireless network and mobile devices, the scale of spatial-temporal data is dramatically increasing and a good deal of real world applications can be formulated as processing conti...
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Chapter and Conference Paper
Learning Bayesian Networks Structure Based Part Mutual Information for Reconstructing Gene Regulatory Networks
As a kind of high-precision correlation measurement method, Part Mutual Information (PMI) was firstly introduced into Bayesian Networks (BNs) structure learning algorithm in the paper. Compared to the general ...
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Chapter and Conference Paper
The Feature Extraction Method of EEG Signals Based on the Loop Coefficient of Transition Network
High accuracy of epilepsy EEG automatic detection has important clinical research significance. The combination of nonlinear time series analysis and complex network theory made it possible to analyze time ser...
