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A Rule-Based Expert System for Automated Document Editing
This research paper introduces a Rule-Based Expert System designed for the automated editing of documents in PDF and PPT formats. The system employs...
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Fault-tolerant control based on belief rule base expert system for multiple sensors concurrent failure in liquid launch vehicle
This paper develops a new fault-tolerant control (FTC) of wireless sensor network in vehicle that aims to solve three problems in engineering...
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Rule-Based System for Pregnancy Monitoring
During the pregnancy period, it is important to monitor the baby’s and the mother's condition. Many tests are necessary during pregnancy, from screen...
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Building an enhanced case-based reasoning and rule-based systems for medical diagnosis
Expert systems are computer programs that use knowledge and reasoning to solve problems typically solved by human experts. Expert systems have been...
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Coordinated Control of the Onboard and Wayside Energy Storage System of an Urban Rail Train Based on Rule Mining
There are three major challenges to the broad implementation of energy storage systems (ESSs) in urban rail transit: maximizing the absorption of...
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Student’s Mental Health Diagnostic Expert System Using DASS Analysis and Rule-Based Reasoning: A Proposal
The emergence of coronavirus disease (COVID-19) in December 2019 has led to major economic and social disruption in the new decade of twenty-first...
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Rule-Based Learner Competencies Predictor System
Forecasting the academic achievement of students is a critical area of research in educational contexts. This domain's significance stems from its...
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P-Expert: Implementation and Deployment of Large Scale Fuzzy Expert Advisory System
This paper discusses the problem of parthenium weed infestation in Queensland and describes P-Expert, an expert advisory system designed to provide...
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Rule- Based Expert System as a Decision Support Tool in the Analysis of the Impact of Vibrations on a Microhydraulic Valve
There is a relationship between design and operational parameters in the context of the influence of vibrations on the operation of micro-hydraulic...
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An Expert System for an Intelligent Technological Complex for Complicated Surface Processing
AbstractThe features of conducting the finishing operations for processing complicated surfaces by the example of processing the blade airfoil of gas...
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Computer-aided diagnosis of primary membranous nephropathy using expert system
BackgroundThe diagnosis of primary membranous nephropathy (PMN) often depends on invasive renal biopsy, and the diagnosis based on clinical...
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Safety State Assessment of Network Control System Based on Belief Rule Base
The current network control system (NCS) cannot assess the system safety state in a timely, comprehensive, and accurate manner, which leads to...
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Breast cancer diagnosis based on hybrid rule-based feature selection with deep learning algorithm
PurposeOne of the leading causes of death among women is breast cancer. However, it has been established that early diagnosis with accurate results...
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A fuzzy rule extraction method based on Dempster–Shafer theory
A fuzzy rule generation method which applies Dempster–Shafer theory (DST) to fuzzy inference systems is proposed. The sample data located in the same...
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Expert system to implement STEP-NC data interface model on CNC machine
One of the issues in manufacturing is implementing the standard for the exchange of product data-numerical control (STEP-NC) data interface model on...
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A New Risk Assessment Model for Construction Projects by Adopting a Best–Worst Method–Fuzzy Rule-Based System Coupled with a 3D Risk Matrix
Many organizations in develo** countries have started to place a strong priority on risk management in their business. Therefore, this article...
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Combining Rule-Based System and Machine Learning to Classify Semi-natural Language Data
Command-line commands form a special kind of semi-natural language. Analyzing their structure and classifying them is a useful approach in the field...
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Fault Diagnosis Method of Relay Protection Based on Expert Rule Deduction
For a long time, the fault diagnosis technology of relay protection consists of isolated cases and does not have a systematic method. The actual...
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Expert System Classifier for RS Data Classification
Classification of remote sensing (RS) imagery has been a primary source for map** applications. Many classification algorithms have been developed...
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Robust Rule Based Neural Network Using Arithmetic Fuzzy Inference System
Deep Neural Networks (DNNs) are currently one of the most important research areas of Artificial Intelligence (AI). Various type of DNNs have been...