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Chapter and Conference Paper
Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust
EXplainable machine learning (XML) has recently emerged as a promising approach to address the inherent opacity of machine learning (ML) systems by providing insights into their reasoning processes. This paper...
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Chapter and Conference Paper
Effect of Surface Morphology of SLM Printed AlSi10Mg on Adhesion Strength of PUA/AlSi10Mg Interface
In this study, the effect of surface morphology of AlSi10Mg substrates printed by selective laser melting (SLM) on the adhesion strength of polyurethane acrylate (PUA) coatings was investigated. Compared with ...
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Chapter and Conference Paper
Model Test Research on Pressure Wave in the Subway Tunnel
As the subway lines are rapidly develo** in the cities, the pressure wave in different subway tunnel constructures is urgently needed to be studied and receded. In this study, a subway tunnel pressure wave e...
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Chapter and Conference Paper
Makespan and Security-Aware Workflow Scheduling for Cloud Service Cost Minimization Using Firefly Optimizer
As efficient commercial information technology, cloud computing has attracted more and more users to submit their requests to the cloud platform and pay for them based on the amount and quality of services. On...
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Chapter and Conference Paper
simuBits: Pool Security Verification of Novel Mining Attacks
Bitcoin pool attacks, including withholding block attacks, pose a significant threat to the Bitcoin ecosystem. However, current research on pool attacks is limited to theoretical analysis due to the lack of ex...
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Chapter and Conference Paper
SFusion: Self-attention Based N-to-One Multimodal Fusion Block
People perceive the world with different senses, such as sight, hearing, smell, and touch. Processing and fusing information from multiple modalities enables Artificial Intelligence to understand the world aro...
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Chapter
Towards Explainability for AI Fairness
AI explainability is becoming indispensable to allow users to gain insights into the AI system’s decision-making process. Meanwhile, fairness is another rising concern that algorithmic predictions may be misal...
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Chapter and Conference Paper
Are Graph Neural Network Explainers Robust to Graph Noises?
With the rapid deployment of graph neural networks (GNNs) based techniques in a wide range of applications such as link prediction, community detection, and node classification, the explainability of GNNs beco...
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Chapter and Conference Paper
Does a Compromise on Fairness Exist in Using AI Models?
Artificial Intelligence (AI) has been increasingly used to assist decision making in different domains. Multiple parties are usually affected by decisions in decision making, e.g. decision-maker and people aff...
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Chapter
Towards Humanity-in-the-Loop in AI Lifecycle
Human needs are important aspects for the humanity. Artificial intelligence (AI) has the strong capacity to meet and promote various levels of human needs ranging from basics needs such as food and water needs...
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Chapter and Conference Paper
A Hip Active Lower Limb Support Exoskeleton for Load Bearing Sit-To-Stand Transfer
Sit-to-stand (STS) transfer is a basic and important motion function in daily living. Most currently-existing studies focus on movement assistance for patients who lost mobility or have impaired their muscle s...
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Chapter and Conference Paper
QoE and Reliability-Aware Task Scheduling for Multi-user Mobile-Edge Computing
Mobile-edge computing (MEC) has become a popular research topic from both academia and industry since it can alleviate the computation and power limitations of mobile devices by offloading computation-intensiv...
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Chapter and Conference Paper
Effects of Fairness and Explanation on Trust in Ethical AI
AI ethics has been a much discussed topic in recent years. Fairness and explainability are two important ethical principles for trustworthy AI. In this paper, the impact of AI explainability and fairness on us...
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Chapter
Resource Management for Improving Overall Reliability of Multi-Processor Systems-on-Chip
Multi-processor systems on a chip (MPSoCs) are widely deployed in real-time embedded systems. In such systems, soft-error reliability (caused by transient faults) and lifetime reliability (caused by permanent ...
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Chapter
Cyber-Physical Systems: An Overview
Cyber-physical system (CPS) is an interdisciplinary research field that features systematic integrations of computation, communication, and control of physical processes. It is characterized by the deep comple...
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Chapter and Conference Paper
Multitask Learning for Sparse Failure Prediction
Sparsity is a problem which occurs inherently in many real-world datasets. Sparsity induces an imbalance in data, which has an adverse effect on machine learning and hence reducing the predictability. Previous...
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Chapter and Conference Paper
A Complex Attacks Recognition Method in Wireless Intrusion Detection System
During recent years, the challenge faced by wireless network security is getting severe with the rapid development of internet. However, due to the defects of wireless communication protocol and difference amo...
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Chapter and Conference Paper
Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking
Trustworthy Machine Learning (ML) is one of significant challenges of “black-box” ML for its wide impact on practical applications. This paper investigates the effects of presentation of influence of training ...
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Chapter
Development and Innovation of Ganoderma Industry and Products in China
Ganoderma (Lingzhi) has been used as a medicinal mushroom to promote health in China for more than 2000 years. The modern research and development of Ganoderma industry started from the 1950s, in which the suc...
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Chapter and Conference Paper
The Effect of Temperature on Mechanical Properties of Polypropylene
The significant diversity exists among the mechanical properties of PP polymers in range from high temperature to low temperature. With the increasing application of PP polymers in the automobile industry, the...