the incorporation of novel technologies in the biomedical industry is becoming increasingly popular. Key players in this field include Artificial Intelligence (AI), machinelearning (ML), and Data Science. AI is a ter...
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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.
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.
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 neural network model has achieved very good results in the field of computer vision, but the requirements for the amount of data are directly proportional to performance. Data hungry is not only the cause of the h...
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ISBN:
(纸本)9781728146898
the neural network model has achieved very good results in the field of computer vision, but the requirements for the amount of data are directly proportional to performance. Data hungry is not only the cause of the high performance of the neural network model, but also a hindrance to its further development. there is not a lot of available data in real-world application scenarios, so how to obtain better performance and more robust models in a small sample environment becomes the goal of less sample learning research. this paper reviews the past small sample learning methods, sorts out its performance and theoretical principles, and points out the existing deficiencies and proposes possible future research directions.
In view of the difficulty of machine abnormal sound detection under the condition that abnormal sound samples are difficult to collect, this paper proposes an unsupervised abnormal sound detection model based on a sel...
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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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the transformation of all-optical networks is an important task for communication operators to meet the needs of the new diversified comprehensive information services. the service experience of users was affected by ...
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Diseases are the ones that affect the continual life of human beings. One such illness which affects millions of people worldwide is diabetes. By examining huge datasets of patients, machinelearning models offer a vi...
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