30 Result(s)
within
Chun**ao Wei
Computer Science
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Article
Open AccessRetraction Note: Robust adversarial uncertainty quantification for deep learning fine-tuning
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Article
Open AccessWhen explainable AI meets IoT applications for supervised learning
This paper introduces a novel and complete framework for solving different Internet of Things (IoT) applications, which explores eXplainable AI (XAI), deep learning, and evolutionary computation. The IoT data ...
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Article
Open AccessSEFSD: an effective deployment algorithm for fog computing systems
Fog computing aims to mitigate data communication delay by deploying fog nodes to provide servers in the proximity of users and offload resource-hungry tasks that would otherwise be sent to distant cloud serve...
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Article
Open AccessRETRACTED ARTICLE: Robust adversarial uncertainty quantification for deep learning fine-tuning
This paper proposes a deep learning model that is robust and capable of handling highly uncertain inputs. The model is divided into three phases: creating a dataset, creating a neural network based on the data...
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Article
Open AccessA graph-based CNN-LSTM stock price prediction algorithm with leading indicators
In today’s society, investment wealth management has become a mainstream of the contemporary era. Investment wealth management refers to the use of funds by investors to arrange funds reasonably, for example, ...
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Article
Open AccessAn artificial intelligence lightweight blockchain security model for security and privacy in IIoT systems
The Industrial Internet of Things (IIoT) promises to deliver innovative business models across multiple domains by providing ubiquitous connectivity, intelligent data, predictive analytics, and decision-making...
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Article
Open AccessMitigating adversarial evasion attacks by deep active learning for medical image classification
In the Internet of Medical Things (IoMT), collaboration among institutes can help complex medical and clinical analysis of disease. Deep neural networks (DNN) require training models on large, diverse patients...
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Article
Open AccessDynamic maintenance model for high average-utility pattern mining with deletion operation
The high average-utility itemset mining (HAUIM) was established to provide a fair measure instead of genetic high-utility itemset mining (HUIM) for revealing the satisfied and interesting patterns. In practica...
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Article
Open AccessAn edge-driven multi-agent optimization model for infectious disease detection
This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity emb...
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Article
Open AccessAnalytics of high average-utility patterns in the industrial internet of things
Recently, revealing more valuable information except for quantity value for a database is an essential research field. High utility itemset mining (HAUIM) was suggested to reveal useful patterns by average-uti...
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Article
Open AccessPortfolio management system in equity market neutral using reinforcement learning
Portfolio management involves position sizing and resource allocation. Traditional and generic portfolio strategies require forecasting of future stock prices as model inputs, which is not a trivial task since...
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Article
Open AccessA Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems
Effective vector representation has been proven useful for transaction classification and clustering tasks in Cyber-Physical Systems. Traditional methods use heuristic-based approaches and different pruning st...
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Article
Open AccessCluster-based information retrieval using pattern mining
This paper addresses the problem of responding to user queries by fetching the most relevant object from a clustered set of objects. It addresses the common drawbacks of cluster-based approaches and targets fa...
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Article
Open AccessIncrementally updating the high average-utility patterns with pre-large concept
High-utility itemset mining (HUIM) is considered as an emerging approach to detect the high-utility patterns from databases. Most existing algorithms of HUIM only consider the itemset utility regardless of the...
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Article
Open AccessA recurrent neural network for urban long-term traffic flow forecasting
This paper investigates the use of recurrent neural network to predict urban long-term traffic flows. A representation of the long-term flows with related weather and contextual information is first introduced...
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Article
Open AccessA general-purpose distributed pattern mining system
This paper explores five pattern mining problems and proposes a new distributed framework called DT-DPM: Decomposition Transaction for Distributed Pattern Mining. DT-DPM addresses the limitations of the existi...
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Chapter and Conference Paper
SAW: A Tool for Safety Analysis of Weakly-Hard Systems
We introduce SAW, a tool for safety analysis of weakly-hard systems, in which traditional hard timing constraints are relaxed to allow bounded deadline misses for improving design flexibility and runtime resil...
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Chapter and Conference Paper
Mining Locally Trending High Utility Itemsets
High utility itemset mining consists of identifying all the sets of items that appear together and yield a high profit in a customer transaction database. Recently, this problem was extended to discover trendi...
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Chapter and Conference Paper
Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges
Autonomous Guided Vehicles (AGVs) are considered to be one of the critical enabling technologies for smart manufacturing. This paper focus on the application of AGVs in new generations of manufacturing systems...
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Chapter and Conference Paper
An Improved Image Positioning Method Based on Local Changed Plane Eliminated by Homography
Over the past two decades, advances in computer vision technology have allowed image-based positioning method to work in large scale with higher reliability and precision. However, this positioning technology ...
