At present, based on computer and information technology, intelligent diagnosis technology is in rapid development. In this paper, the application of artificial intelligence and learning techniques in intelligent faul...
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ISBN:
(纸本)9781467381734
At present, based on computer and information technology, intelligent diagnosis technology is in rapid development. In this paper, the application of artificial intelligence and learning techniques in intelligent fault diagnosis are demonstrated, such as Rule-Based Reasoning, Case-based Reasoning, Network neural, Fuzzy Logic, Genetic algorithm, Rough set theory, Bayesian network theory, Multi-agents, Reinforcement learning, Support Vector machine. Some kinds of applications are introduced. these intelligent fault diagnosis methods are widely used in complex fault diagnosis system. We will try to use them in our future intelligent fault diagnosis system for space station.
To address the challenge that the automatic extraction of bottom line is prone to interference from external factors, resulting in inaccurate detection and tracking of the bottom line in practical applications, this p...
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Heart disease is also called a common one of global health concerns. A lot of research has been done before to predict someone whether has a heart disease or not by machinelearning. In this study, we use five machine...
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In order to improve the automation and intelligence level of monitoring systems, an algorithm optimization method based on deep learning was analyzed. the results indicate that the comprehensive application of video p...
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ISBN:
(纸本)9798400710353
In order to improve the automation and intelligence level of monitoring systems, an algorithm optimization method based on deep learning was analyzed. the results indicate that the comprehensive application of video preprocessing, object detection, object tracking, and anomaly event detection can effectively improve monitoring accuracy and response speed, demonstrating good adaptability and robustness. this provides practical guidance and broad application prospects for the development of intelligent monitoring technology.
Empowering Healthcare Systems withmachinelearning: Mechanisms, Classifications, and applications' examines how machinelearning (ML) and healthcare are dynamically combining. It explains how ML algorithms manage...
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In recent years, deep learning has gained widespread attention and importance due to its outstanding performance in image feature learning. the rapid development of machinelearning and deep learning has provided a po...
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Empirical studies in the field of machinelearning based on Monte Carlo methods explore a powerful statistical technique aimed at solving the core problems of uncertainty modeling, model evaluation, and decision makin...
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machinelearning (ML) is a type of Artificial Intelligence (Al) that allows the machine to learn from data and become more accurate in predicting outcomes without human intervention. the fundamental idea of machine le...
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the demand for agricultural crops is constantly rising throughout time. this increment in demand is coupled with many other challenging factors such as climate change, pollution, urbanization etc that affects the qual...
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作者:
Wu YuTongji Univ
Comp Sci & Technol Dept Shanghai 200092 Peoples R China
the new technologies set the stage for Mobile learning. In this paper, we explored a Mobile Teaching-learning pattern and its advantages. And then we modeled courses with Atom and Atom Publishing Protocol. Grounded on...
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ISBN:
(纸本)9780819490261
the new technologies set the stage for Mobile learning. In this paper, we explored a Mobile Teaching-learning pattern and its advantages. And then we modeled courses with Atom and Atom Publishing Protocol. Grounded on the pattern and modeling, we implemented mobile learning client side with Apple technologies, which could achieve anytime, anywhere learning. And at last, we discussed the application of our system.
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