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Reversible Data Hiding Based on Adaptive Block Selection Strategy
Recently, a reversible data hiding (RDH) method was proposed based on local histogram shifting. This method selects the peak bin of the local histogram as a reference and expands the two neighboring bins of the peak bin to carry...
Published by: IGI Global
Fast and Effective Copy-Move Detection of Digital Audio Based on Auto Segment
Detecting digital audio forgeries is a significant research focus in the field of audio forensics. In this article, the authors focus on a special form of digital audio forgery—copy-move—and propose a fast and effective method...
Published by: IGI Global
Quality Improvement of Agricultural Products Supply Chain Under Social Preference and CSR by Big Data Analysis
Yanhong Qin, Lin Xiang
Sep 01, 2021
Purpose- The aim of this study is to analyze the effect of corporate social responsibility (CSR) and social preference on quality improvement of the agricultural products supply chain composed of agricultural products producer...
Published by: IGI Global
Integration of Bricolage and Institutional Entrepreneurship for Internet Finance
This article describes how current research on the institutional entrepreneurship process tends to ‘design principles.' There is lack of research on mechanism and strategy of the institutional bricolage, especially for Internet...
Published by: IGI Global
The Rise of China
The China threat theory has been prevalent in recent years. Focusing on each of the four East Asian states, this article examines why China is perceived as a threat. This article discusses the origin of China’s rapid economic...
Automatic Generation of ROP Through Static Instructions Assignment and Dynamic Memory Analysis
W⊕X is a protection mechanism against control-flow hijacking attacks. Return-oriented programming (ROP) can perform a specific function by searching for appropriate assembly instruction fragments (gadgets) in a code segment and...
Published by: IGI Global
Introduction
We are grateful for the opportunity to work on Mapping Politics, the peer-reviewed political science journal of Memorial University. This volume has excellent scholarship that will be exposed to a wider audience than ever.This...
The Impact of Digital Twins on Local Industry Symbiosis Networks in Light of the Uncertainty Caused by the Public Crisis
Digital twins provide a solution for information-sharing between enterprises, thereby alleviating uncertainties in the supply chain. In light of the public crisis caused by COVID-19, the authors suggest a signal game model for a...
Published by: IGI Global
Airbnb (Air Bed and Breakfast) Listing Analysis Through Machine Learning Techniques
Machine learning is a broad field that contains multiple fields of discipline including mathematics, computer science, and data science. Some of the concepts, like deep neural networks, can be complicated and difficult to...
Published by: IGI Global
An Exploration Study on the Consequence of the COVID-19 Pandemic on Online Q&A Communities
This work aims to document a two-sided impact of the COVID-19 pandemic on online question and answer communities. It implements empirical analyses on subsidiary communities affiliating to the Stack Exchange network. Using a...
Published by: IGI Global
Learning Trajectory Patterns via Canonical Correlation Analysis
A substantial body of research has been devoted to the analysis of motion trajectories. Usually, a motion trajectory consists of a set of coordinates, which is called a raw trajectory. In this paper, the authors first use...
Published by: IGI Global
Improved Model Based on GoogLeNet and Residual Neural Network ResNet
Xuehua Huang
Jan 01, 2022
To improve the accuracy of image classification, a kind of improved model is proposed. The shortcut is added to GoogLeNet inception v1 and several other ways of shortcut are given, and they are GRSN1_2, GRSN1_3, GRSN1_4. Among...
Published by: IGI Global
A Comparative Policy Analysis in the E-Health Industry Between China and the USA
With the problems of neonatal survival and aging of the population becoming increasingly serious, the voice that longs for a new model of the medical industry is pushed to the limelight in the society. Gradually, a neologism...
Published by: IGI Global
User's Segmentation on Continued Knowledge Management System Use in the Public Sector
Chi-Cheng Huang
Jan 01, 2020
Knowledge management systems (KMS) can help an organization support knowledge management activities and thereby increase organizational performance. This study extends the expectation-confirmation model for predicting mandatory...
Published by: IGI Global
Measuring Enterprise Mutual Information Based on the Helix Model
In the context of digital transformation, this emerging technologies input creates powerful digital capabilities. Despite of the long distance, The enterprises cooperate more closely through wireless networks in digital space...
Published by: IGI Global
The Effect of Facial Resemblance on Cooperative Behavior in the Sharing Economy
In online sharing economy platforms, users often need to cooperate with strangers with minimal information. When personal photos are available on these platforms, how do users form social perceptions and consequently cooperative...
Published by: IGI Global
A Predictive and Trajectory-Aware Edge Service Allocation Approach in a Mobile Computing Environment
Ling Huang, Bin Shuai
Jan 01, 2022
The mobile edge computing (MEC) model is featured by the ability to provision elastic computing resources close to user requests at the edge of the internet. This paradigm moves traditional digital infrastructure close to mobile...
Published by: IGI Global
Water Resources Assessment and Management for Nuclear Power Plants in China
To deal with global warming and energy shortage, nuclear power plants are constructed or planning to be constructed in China presently. The operation of a nuclear power plant consumes a great amount of water and discharges a lot...
Research of Image Recognition of Plant Diseases and Pests Based on Deep Learning
Deep learning has attracted more and more attention in speech recognition, visual recognition and other fields. In the field of image processing, using deep learning method can obtain high recognition rate. In this paper, the...
Published by: IGI Global
On Cost-Aware Heterogeneous Cloudlet Deployment for Mobile Edge Computing
Edge computing undertakes downlink cloud services and uplink terminal computing tasks, data interaction latency and network transmission cost are thus significantly reduced. Although a lot of research has been conducted in...
Published by: IGI Global
CVaR Prediction Model of the Investment Portfolio Based on the Convolutional Neural Network Facilitates the Risk Management of the Financial Market
In summary, firstly, a method for establishing a portfolio model is proposed based on the risk management theory of the financial market. Then, a prediction model for CVaR is established based on the convolutional neural...
Published by: IGI Global
A Highly Efficient Remote Access Trojan Detection Method
Nowadays, machine learning is popular in remote access Trojan (RAT) detection which can create patterns for decision-making. However, most research focus on improving the detection rate and reducing the false negative rate...
Published by: IGI Global
Knowledge Fusion Based on Cloud Computing Environment for Long-Term Care
Globally, aging is now a societal trend and challenge in many developed and developing countries. A key medical strategy that a fast-paced aging society must consider is the provision of quality long-term care (LTC) services....
Published by: IGI Global
Data Privacy Protection in News Crowdfunding in the Era of Artificial Intelligence
This paper aims to study the protection of data privacy in news crowdfunding in the era of artificial intelligence. This paper respectively quotes the encryption algorithm of artificial intelligence data protection and the BP...
Published by: IGI Global

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