Victor Chang

Victor Chang
Aston University · Aston Business School

About

529
Publications
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13,025
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Publications

Publications (529)
Presentation
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Dear friends in academia: We are pleased to share the video presentation of our paper for your reference and use in your research in the areas of Negotiation and Transboundary Disputes. This research offers insights into using the Fuzzy Delphi Method and Markov Chain in modeling group decision processes for cases of lower possibilities, such as t...
Preprint
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Situating at the core of Artificial Intelligence (AI), Machine Learning (ML), and more specifically, Deep Learning (DL) have embraced great success in the past two decades. However, unseen class label prediction is far less explored due to missing classes being invisible in training ML or DL models. In this work, we propose a fuzzy inference system...
Article
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As a new cloud service for delivering complex business applications, Business Process as a Service (BPaaS) is another challenge faced by cloud service platforms recently. To effectively reduce the security risk caused by business process execution load in BPaaS, it is necessary to detect the non-compliant process executions (instances) from tenants...
Article
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Correction to: Information Systems Frontiers (https://doi.org/10.1007/s10796-022-10295-0).
Article
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The coronavirus (CoV) belongs to Severe Acute Respiratory Syndrome (SARS) species that lead to infection, causing illness, starting from common cold to some serious sickness. Finally, on 11 March 2020, the WHO Director-General Dr. Tedros Adhanom Ghebreyesus announced the outbreak as a pandemic. As the fear and ambiguity rose among companies and fir...
Article
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Text-to-GQL (Text2GQL) is a task that converts the user's questions into GQL (Graph Query Language) when a graph database is given. That is a task of semantic parsing that transforms natural language problems into logical expressions, which will bring more efficient direct communication between humans and machines. The existing related work mainly...
Article
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This survey paper reviews Natural Language Processing Models and their use in COVID-19 research in two main areas. Firstly, a range of transformer-based biomedical pretrained language models are evaluated using the BLURB benchmark. Secondly, models used in sentiment analysis surrounding COVID-19 vaccination are evaluated. We filtered literature cur...
Chapter
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Diabetes is a disease that actually impacts the capacity of the body to obtain blood glucose, which is usually referred to as blood sugar. At the end of 2019, a new public health problem (COVID-19) emerged. This disease has greatly harmed people with diabetes. Therefore, we intend to make use of data mining algorithms to prevent death and improve t...
Chapter
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Accurate analysis and recommendation on products based on online reviews and rating data play an important role in precisely targeting suitable consumer segmentations and therefore can promote merchandise sales. This study uses a recommendation and sentiment classification model for analyzing the data of beer product based on online beer reviews an...
Article
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Digitalization as a business enabler has speeded and scaled innovation in many firms. As the corporate leader, the CEO facilitates strategic agility and enhances network effects to create value. This study uses innovation efficiency as the proxy of digitalization to examine the contribution of the CEO networks to firm-level innovation efficiency in...
Article
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In the present information age, a wide and significant variety of social media platforms have been developed and become an important part of modern life. Massive amounts of user-generated data sourced from various social networking platforms also provide new insights for businesses and governments. However, it has become difficult to extract useful...
Article
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In the continental law system, it is appropriate for judges to find relevant laws and consider rules defined in them when dealing with legal cases. Therefore, recommending relevant laws quickly and accurately based on case content is crucial in improving the efficiency of case processing. There have been researched works of recommender systems in v...
Chapter
With the ubiquity of voice assistants across the UK and the world, speech recognition of the regional accents across the British Isles has proven challenging due to varying pronunciations. This paper proposes an automated recognition of the geographical origin and gender of a voice sample based on the six regional dialects of the United Kingdom. Tw...
Article
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The advent of the digital economy and Industry 4.0 enables financial organizations to adapt their processes and mitigate the risks and losses associated with the fraud. Machine learning algorithms facilitate effective predictive models for fraud detection for Industry 4.0. This study aims to identify an efficient and stable model for fraud detectio...
Article
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This paper applies social network analysis in two experiments. In the first experiment, social network analysis is conducted on student friendship networks to find relational patterns. Then, three community detection methods are used to divide the student network. The RSiena package is used to illustrate the coevolution of friendship networks with...
Article
The COVID-19 pandemic boosted the digital transformation of many services, including healthcare, and access to medical care using teleconsultation has increased rapidly. Thus, a growing number of online platforms have been developed to accommodate patients’ needs. This paper examines the factors that predict the intention to use medical teleconsult...
Conference Paper
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There is new material regarding Neo4j algorithm questions posed in this report as well as where we did our due diligence research to resolve them. These results often provide details, including inquiries recorded after each monitoring period. Initially, a literature review supported the development of an initial data modeling, which was further pro...
Conference Paper
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There has been significant growth in big data technology in healthcare in recent years. However, the potential of big data analytics is affected by various ethical and security concerns, which have hampered the application of big data analytics in healthcare. Recently, numerous studies have been conducted on the emerging big data ethical issues in...
Article
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A blockchain, as a form of distributed ledger technology, represents the unanimity of replication, synchronization, and sharing of data among various geographical sites. Blockchains have demonstrated impressive and effective applications throughout many aspects of the business. Blockchain technology can lead to the advent of the construction of Dig...
Article
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Over the years, there has been a heavy reliance on cloud computing as IT has innovated through time. In recent times cloud computing has grown monumentally. Many organizations rely on this technology to perform their business as usual and use it as a backbone of their companies' IT infrastructure. This paper investigates the organizational adaptati...
Book
Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their comm...
Article
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Distributed edge intelligence is a disruptive research area that enables the execution of machine learning and deep learning (ML/DL) algorithms close to where data are generated. Since edge devices are more limited and heterogeneous than typical cloud devices, many hindrances have to be overcome to fully extract the potential benefits of such an ap...
Article
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This paper proposes an e-diagnosis system based on machine learning (ML) algorithms to be implemented on the Internet of Medical Things (IoMT) environment, particularly for diagnosing diabetes mellitus (type 2 diabetes). However, the ML applications tend to be mistrusted because of their inability to show the internal decision-making process, resul...
Conference Paper
Full-text available
Digitalization as a business enabler has speeded and scaled innovation in many firms. As the corporate leader, the CEO is there to set the stage for a learning process that facilitates strategic agility and enhances net work effects to create value. This study uses innovation efficiency as the proxy of digitalization to examine the contribution of...
Article
Full-text available
The rapid advancement of internet technologies has dramatically increased the number of connected devices. This has created a huge attack surface that requires the deployment of effective and practical countermeasures to protect network infrastructures from the harm that cyber-attacks can cause. Hence, there is an absolute need to differentiate bou...
Chapter
This article conducts statistical analysis on the level of social responsibility of Chinese enterprises and the internal, and the external factors which influence it. The factors include the scale of enterprises, innovation capacity, export intensity, financial performance, product competitive, government intervention, and legal environment, etc. T...
Chapter
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At present, scholarly research on corporate social responsibility (CSR) is one of the hot issues in strategy since CSR is related to taking responsibility for stakeholders under the condition of maximizing the interests of company's stockholders. Taking the view of the Chinese market, this concept has been important and numerous local enterprises a...
Article
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A smart and scalable system is required to schedule various machine learning applications to control pandemics like COVID‐19 using computing infrastructure provided by cloud and fog computing. This paper proposes a framework that considers the use case of smart office surveillance to monitor workplaces for detecting possible violations of COVID eff...
Article
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In the medical domain, data are often collected over time, evolving from simple to refined categories. The data and the underlying structures of the medical data as to how they have grown to today’s complexity can be decomposed into crude forms when data collection starts. For instance, the cancer dataset is labeled either benign or malignant at it...
Article
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The paper focuses on the construction of an artificial intelligence-based heart disease detection system using machine learning algorithms. We show how machine learning can help predict whether a person will develop heart disease. In this paper, a python-based application is developed for healthcare research as it is more reliable and helps track a...
Article
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The rise of mobile applications has helped to provide information in a broader network of products remotely. They simplify the identification of products by using their barcode or even an image of the item. This paper, therefore, aims to create an e-commerce assistant Android application that incorporates machine learning, more precisely, image cla...
Chapter
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This article describes an overview of what Big Data is and explains how it transforms the manufacturing industry. First, this article defines what Big Data means for the manufacturing industry. It explains four advantages about Big Data analytics and their benefits to manufacturing. Then, it describes about what ethical issues of Big Data are. Next...
Chapter
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This book chapter presents the review of COVID-19 and its status, as well as the scientific Analysis big data analytics with the help of machine learning. We provide in-depth literature review, and provide a summary of the current AI and machine learning methods, which have become increasingly important to provide accurate analyses. Various concept...
Article
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Abstract Our research paper investigates the relationship between CSR and firm performance to uncover the impact CSR has on market performance and financial performance. Our rationale is that in the case of emerging economies, CSR may not yield an immediate financial benefit, but we cede that the impact on financial performance is more of a spill o...
Article
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This paper describes how to develop diabetes diagnosis through the combined use of the support vector machine, the Decision Tree, Naive Bayes, K-nearest and finally, Random Forest (RF) algorithms. These methods are useful to predict diabetes jointly. The appropriateness of ML-depended techniques to tackle this issue has been revealed. This diabetes...
Article
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The main warning in the area of food preservation and care is on topmost are crop diseases. It has been recognized speedily, but it is not as easy as in any area of the world because no required framework exists. Both the healthy and diseased plant leaves were gathered and collected under the condition and circumstances. For this purpose, a public...
Article
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The survival rate of breast cancer prediction has been a significant issue for researchers. Nowadays, the health care industry has completely transformed by using modern technologies and their applications for medical services. Among those technologies, machine learning is one of them, which has gained attention by people that its new advanced tech...
Article
In recent years, machine learning models have exhibited remarkable performance in the fourth industrial revolution. However, especially in the field of stock forecasting, most of the existing models demonstrate either relatively weak interpretability or unsatisfactory performance. This paper proposes an interpretable stock selection algorithm(ISSA)...
Article
'Hearables' have become important in the aging population. This study investigates whether smart technologies help middle-aged and elderly people accept hearing aid devices in smart cities of China. The authors adopt the PLS-SEM framework to analyze the factors that affect behavioral intention towards adopting hearing aids in smart cities. In order...
Article
Current pneumonia segmentation approaches lack precision on small infection areas and operate by partitioning the CT volumes into 2D slices or 3D patches, leading to the loss of contextual information. We propose an improved fully volumetric segmentation network, called FV-SEG-Net, that effectively exploits the local and global spatial information...
Article
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With the rise in cases of COVID-19, a bizarre situation of pressure was mounted on each country to make arrangements to control the population and utilize the available resources appropriately. The swiftly rising of positive cases globally created panic, anxiety and depression among people. The effect of this deadly disease was found to be directly...
Article
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We propose an agent-based artificial stock market to investigate the influences of social networks on financial markets. It contains four types of traders whose information sets and trading strategies are different. The application of artificial intelligence is employed in informed and uninformed traders’behaviour and heterogeneity. When informatio...
Article
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Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to...
Article
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Most knowledge hiding studies focus on its dark side. In contrast, we theorize the potential positive effect of rationalized knowledge hiding in the context of entrepreneurial firms’ new product development (NPD) speed. We extended and integrated theoretical perspectives of rationalized knowledge hiding and trust in theorizing that rationalized kno...
Article
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This study investigates the causes impacting the consumers' intention of the premium music streaming services' subscription in China. An integrated model called the Theory of Streaming Service Acceptance (TSSA) is proposed to explain and predict premium music streaming service subscription behaviors. The TSSA consists of four constructs: attitude,...
Article
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This research studies the motivation of customers to choose the QR code as a payment tool by developing an integrated model based on UTAUT 424 valid responses were collected from diversified socio-economic backgrounds to validate the proposed framework. Compared with the original UTAUT model, the new one integrates ‘perceived security’, ‘perceived...
Article
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In recent years, 5G has been the focus of research and development in the telecom industry. This paper aims to understand the development trend and technical hot spots of 5G technology through the patent analysis and build a citation network at the assignee organization level. The workflow of the paper is divided into four steps: patent data collec...
Article
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The proton exchange membrane fuel cell (PEMFC) is a favorable renewable energy source to overcome environmental pollution and save electricity. However, the mathematical model of the PEMFC contains some unknown parameters which have to be accurately estimated to build an accurate PEMFC model; this problem is known as the parameter estimation of PEM...
Article
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The studies targeting cognitive training via computerized applications focused on suggesting varied types of Working Memory's (WM) tasks rather than offering those tasks in a user-friendly way or suggesting practical guidelines targeting the end-user. Therefore, the purpose of the current study is to adopt the design based-research method (DBR) to...
Article
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The world is changing, with more systems becoming automated through the Internet of Things (IoT). By the end of 2020, 38.5 billion connected devices are expected to be part of the IoT, which is an increase of 25.1 billion from 2015. With the digital revolution thoroughly underway, companies have been fully aware that statistical data can help their...
Article
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As a task that requires strong professional experience as support, predictive biomedical intelligence cannot be separated from the support of a large amount of external domain knowledge. By using transfer learning to obtain sufficient prior experience from massive biomedical text data, it is essential to promote the performance of specific downstre...
Article
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With the development of modern information and communication technologies, such as the internet of things and big data analytics, businesses and users have become more adaptable to rapid changes. Both consumers and merchants have obtained great convenience. Meanwhile, a huge amount of data is generated. However, many businesses lack the ability to...
Article
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Human Cyber-physical Systems (HCPSs) provide accurate and high-quality services for industry 5.0. In HCPSs, machine learning (ML) prediction provides reliable prediction results for users based on matured models, while security and privacy protection are considerable issues. Based on the modified Okamoto-Uchiyama homomorphic encryption, we propose...
Article
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Image segmentation is considered a crucial step required for image analysis and research. Many techniques have been proposed to resolve the existing problems and improve the quality of research, such as region-based, threshold-based, edge-based, and feature-based clustering in the literature. The researchers have moved toward using the threshold te...