the purpose of this research is to create a disease prediction system that can make precise inferences from user input using machinelearning algorithms. the interface of the system will be carefully crafted according...
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In the teaching process of colleges and universities, there is a general lack of early-warning technology for failing grades, and teachers cannot identify the students at risk of failing grades in advance. thus, the t...
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Social media is playing a vital role in communication, forums like Twitter and Instagram are where people socialize. Recently social media has played a crucial role during disasters. People could post messages and get...
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the Internet of things is a contemporary technology that acknowledges the amount of data amassed over time by multiple sensors, with a variety of uses. the IoT techniques drive results in high volume, real-time data s...
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the proceedings contain 125 papers. the topics discussed include: research on contrastive image classification algorithm based on scalable self-attention;research on intelligent transportation algorithms based on arti...
ISBN:
(纸本)9781510680258
the proceedings contain 125 papers. the topics discussed include: research on contrastive image classification algorithm based on scalable self-attention;research on intelligent transportation algorithms based on artificial intelligence;prediction of aero engine residual life based on chaotic genetic algorithm to optimize TCN network;construction of a power quality and electrical equipment knowledge graph for equipment status assessment;improved multi-scale convolutional neural network about image defogging method;power equipment target detection algorithm based on improved YOLOV7;enhancing helmet and cigarette detection in electricity power construction based onYolov5s-I algorithm;privacy efficient federal learning approach for smart security;and obstruction detection and recovery in weather radar images using deep learning.
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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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.
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.
the National Assessment and Accreditation Council (NAAC), which rates and accredits higher education institutions (HEIs), as well as the perspectives and perceptions of university/college instructors, are all subjects...
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the proceedings contain 29 papers. the topics discussed include: a state-of-the-art survey of advanced optimization methods in machinelearning;a comparison of exploration strategies used in reinforcement learning for...
the proceedings contain 29 papers. the topics discussed include: a state-of-the-art survey of advanced optimization methods in machinelearning;a comparison of exploration strategies used in reinforcement learning for building an intelligent tutoring system;adaptive learning and testing in Moodle;deep learning for law enforcement: a survey about three application domains;e-learning and COVID-19 - the Nigerian experience: challenges of teaching technical courses in tertiary institutions;in-memory database testing performance measurements in azure;and inference speed comparison using convolutions in neural networks on various SoC hardware platforms using MicroPython.
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