Leveraging UMAP for feature selection and Tree Physiology Optimization (TPO) for hyperparameter tuning, we proposed model for efficient water quality control in consumer electronics. We balanced the data with SMOTE fr...
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ISBN:
(数字)9798331521165
ISBN:
(纸本)9798331521172
Leveraging UMAP for feature selection and Tree Physiology Optimization (TPO) for hyperparameter tuning, we proposed model for efficient water quality control in consumer electronics. We balanced the data with SMOTE from a Kaggle water quality dataset and using UMAP to find important characteristics. The TPO method then was used to maximize the parameters of the deep learning model. With an eye on few false positives, our algorithm was very accurate in spotting clean water. Still, the confusion matrix shows that there are difficulties precisely identifying dangerous water.
Several steps that need to be followed to ensure better reporting and tracking of medical errors are presented. One of steps is to use improved electronic health records (EHR) user-interface designs that offer healthc...
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Several steps that need to be followed to ensure better reporting and tracking of medical errors are presented. One of steps is to use improved electronic health records (EHR) user-interface designs that offer healthcare providers shorter learn-times, faster performance, and lower interface error rates. A second step should be agreements on user interface consistency and data interoperability among the 100-plus developers of EHR. Such guidelines for consistency and data sharing, common in other industries, would allow healthcare professionals who work at more than one location to do their jobs more efficiently and safely. Guidelines for user interfaces and public reporting of usability testing for errors would lay the foundation for changes in the way data is handled. The independent oversight panels, convened by healthcare providers, professional organizations, and government agencies, would specify improvements in information technologies and processes for software developers, hospitals, and labs.
If applications were able to detect a user's expertise, then software could automatically adapt to better match exper-tise. Detecting expertise is difficult because a user's skill changes as the user interacts...
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Semi-supervised learning (SSL) has garnered significant attention due to its ability to leverage limited labeled data and a large amount of unlabeled data to improve model generalization performance. Recent approaches...
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Particle Swarm Optimization (PSO) is a swarm intelligence meta-heuristics whose performance highly depends on the selection of its hyper-parameters, which control the particles’ exploration and exploitation...
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In historical photo research, the presence of painted backdrops have the potential to help identify subjects, photographers, locations, and events surrounding certain photographs. However, there are few dedicated tool...
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One of the limitations of most virtual reality (VR) systems is that users cannot physically walk through large virtual environments. Many solutions have been proposed to this problem, including locomotion devices such...
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We present a novel virtual musical instrument interface based on in-air 3D gestures called the Interval Player. Instead of specifying absolute notes, the user specifies the melodic interval between the most recent not...
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