the proceedings contain 134 papers. the topics discussed include: AGS: Arabic GPT summarization corpus;automated door to prevent COVID-19 using fuzzy logic;enhancing security in VANET against blackhole attacks using A...
ISBN:
(纸本)9798350369694
the proceedings contain 134 papers. the topics discussed include: AGS: Arabic GPT summarization corpus;automated door to prevent COVID-19 using fuzzy logic;enhancing security in VANET against blackhole attacks using AODV, K-means clustering, and PSO;supervised fine-grained entity recognition model for legal documents in Spanish;a brief review of the performance of energy-based models in embedded devices;machinelearning basics and potential applications in power systems;and complexes of fast simulation models of systems with cascaded frequency converter at correction motor and electrical grid current.
Finding the optimal combination of feature extraction and classifier has always been a hot issue in intelligent health monitoring. Traditional artificial features are difficult to achieve the ability of deep learning ...
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According to WHO, Dengue is a viral infection transmitted to humans through the bite of infected mosquitoes i.e., Aedes aegypti mosquitoes. there is currently no known cure for dengue or severe dengue. Artificial Inte...
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Currently, heart disease stands as the most formidable threat to human life. the application of machinelearning in scrutinizing data holds the promise of augmenting early detection and prevention strategies for this ...
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ISBN:
(纸本)9798400708305
Currently, heart disease stands as the most formidable threat to human life. the application of machinelearning in scrutinizing data holds the promise of augmenting early detection and prevention strategies for this ailment. Within this study, a suite of six distinctive and classical machinelearning models-Logistic Regression, Random Forest, Decision Tree, K-Nearest Neighbor, Support Vector Classifier, and Neural Network-are introduced and meticulously evaluated. these models leverage data gathered from heart patients across four distinct regions, contributing to a comprehensive assessment. the investigative process encompasses five pivotal stages: data collection, preprocessing, K-Means clustering, application of classification algorithms models for heart disease prediction, and rigorous evaluation. At the end of the study, a comprehensive summary of heart disease prediction was presented.
Intelligent platforms are mainly service platforms composed of machinelearning integrations that rely on continuous reasoning and learning. this technology has been widely used in today's the Internet Age, and it...
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Due to the rapid development and widespread use of Internet technology, the Internet has provided a convenient platform for individuals to express their emotions and view comments on microblogs. the collection of user...
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Fraud detection in financial systems, especially withthe rapid growth of digital and mobile payments, has become increasingly complex. Traditional rule-based systems have proven inadequate in addressing the sophistic...
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the increasing prevalence of ransomware, malware, and malicious cyberattacks poses a significant threat to computer networks, data centers, websites, mobile applications, and industrial environments across various bus...
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the proceedings contain 194 papers. the topics discussed include: analysis and verification of fluid-structure coupling vibration characteristics of flood gate based on virtual mass method;spatiotemporal prediction of...
ISBN:
(纸本)9798400710247
the proceedings contain 194 papers. the topics discussed include: analysis and verification of fluid-structure coupling vibration characteristics of flood gate based on virtual mass method;spatiotemporal prediction of land subsidence by integrating multi-source data;real time monitoring and statistical analysis of water intake based on computer information technology;landslide displacement prediction based on the random forest and optimized support vector regression;research on rockburst intensity prediction based on grey wolf optimization algorithm and random forest;research on the design of blasting protection hose thickness based on machinelearning;prediction of surface and tunnel deformation using a random field theory-based bp neural network method;and research and application of BIM-based digital seepage control technology for large hydropower project.
Chest radiography is commonly used in annual health screenings to determine the health of the lungs. As a result, developing a smart system to assist clinicians or radiologists in automatically detecting possible malf...
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