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Article
Evaluation of Parameters Coupling into ZT for Higher Output Performance
Thermoelectric power generation is an emerging renewable energy technology, while its widespread application has been limited by its constrained output capacity. The figure of merit (
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Article
A real-time multiple tunneling parameter prediction method of TBM steady phase based on dual recurrent neural networks
Due to the uncertainty of geological conditions during the tunneling process, advanced prediction of TBM tunneling parameters is significant for evaluating operational safety and efficiency, especially for rea...
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Article
RETRACTED ARTICLE: Speech big data cluster modeling based on joint neural network and Spark-SVM with evolutionary intelligence
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Article
Open AccessAssociation of serum uric acid and fasting plasma glucose with cognitive function: a cross-sectional study
The combined effect of serum uric acid (SUA) and blood glucose on cognition has not been explored. This study aimed to examine the separate and combined association of SUA and fasting plasma glucose (FPG) or d...
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Article
Open AccessIntegration of single sample and population analysis for understanding immune evasion mechanisms of lung cancer
A deep understanding of the complex interaction mechanism between the various cellular components in tumor microenvironment (TME) of lung adenocarcinoma (LUAD) is a prerequisite for understanding its drug resi...
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Chapter
Introduction
With the increasing pressures of expediting software projects that is always increasing in size and complexity to meet rapidly changing business needs, quality assurance activities such as fault prediction mod...
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Chapter
Machine Learning Techniques for Intelligent SDP
In this chapter, several common learning algorithms and their applications in software defect prediction are briefly introduced, including deep learning, transfer learning, dictionary learning, semi-supervised...
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Chapter
Conclusion
This book provides a comprehensive guide to the basic theory of SDP, as well as some discussion of solutions to the corresponding problems, and some of the problems in this field. We believe this content will ...
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Chapter
Within-Project Defect Prediction
In order to improve the quality of a software system, software defect prediction aims to automatically identify defective software modules for efficient software test. To predict software defect, those classif...
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Chapter
Heterogeneous Defect Prediction
Cross-company defect prediction (CCDP) learns a prediction model by using training data from one or multiple projects of a source company and then applies the model to the target company data. Existing CCDP me...
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Chapter
Other Research Questions of SDP
Sorting software modules in order of defect count can help testers to focus on software modules with more defects. One of the most popular methods for sorting modules is generalized linear regression. However,...
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Chapter
Cross-Project Defect Prediction
The challenge of CPDP methods is the distribution difference between the data from different projects. Transfer learning can transfer the knowledge from the source domain to the target domain with the aim to m...
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Chapter
An Empirical Study on HDP Approaches
Software defect prediction has always been a hot research topic in the field of software engineering owing to its capability of allocating limited resources reasonably. Compared with cross-project defect predi...
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Book
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Article
Data sampling and kernel manifold discriminant alignment for mixed-project heterogeneous defect prediction
Heterogeneous defect prediction (HDP) refers to identifying more likely defect-proneness of software modules in a target project using heterogeneous metric data from other source projects, which solves the het...
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Article
Novel ternary exciplex system based on TCTA dendrimer with a new linking type amongst various functional donors
A novel electron-rich dendrimer 4,4′,4″-(9,9′-(5-((6-(9H-carbazol-4-yl)hexyl)oxy)-1,3-phenylene)bis(9H-carbazole)-9-yl)-tris(N,N-bis(4-(9H-carbazol-9-yl)phenyl)aniline)(TCTA-O-MCP) containing conventional hole-tr...
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Article
Real-time normal contact force control for robotic surface processing of workpieces without a priori geometric model
Utilizing industrial robots to perform contact manufacturing with constant force attracts widespread attention nowadays. However, it is still challenging to control the constant normal contact force on complex...
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Chapter
Institutional Differences and Opportunity Exploitation: A Comparison of Managerial Ties Utilization in Asia and Europe
This chapter discusses how differences in distinct institutional environments affect the vital entrepreneurial activity of utilizing managerial ties for opportunity exploitation. Focusing on the comparison bet...
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Chapter and Conference Paper
A Normal Tracking Method for Workpieces with Free-Form Surface in Robotic Polishing
Polishing operations often require constant normal contact forces, making robotic systems difficult to apply in polishing operations with offline programming methods that the geometric information of workpiece...
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Article
Open AccessResearch on time difference detection algorithm based on combination of GNSS and PPP
With the gradual increase in the number of GNSS systems and the improvement of functions, in addition to the single-system navigation and timing service, the integrated navigation and positioning service among...
