the proceedings contain 41 papers. the topics discussed include: generating combination of biblical baby names using recurrent neural network (RNN) and optimization comparison;DeepTestDroid a platform for automated ap...
ISBN:
(纸本)9798350300192
the proceedings contain 41 papers. the topics discussed include: generating combination of biblical baby names using recurrent neural network (RNN) and optimization comparison;DeepTestDroid a platform for automated application testing using deep learning;data-to-question generation using deep learning;the online communication station in city of learning: management of city learning for senior citizen;hybrid firefly algorithm with Rao algorithm for optimization problems;a hybrid deep learning neural network for recognizing exercise activity using inertial sensor and motion capture system;and a machinelearning and deep learning integrated model to detect criminal activities.
Medical classification is a common research problem in modern medicine, and this paper utilizes ensemble learning techniques to improve existing machinelearning algorithms, making them more accurate and robust. Takin...
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ISBN:
(纸本)9798400708138
Medical classification is a common research problem in modern medicine, and this paper utilizes ensemble learning techniques to improve existing machinelearning algorithms, making them more accurate and robust. Taking the neonatal health status classification dataset as an example, classification models such as random forest, logistic regression, and Xgboost are applied for fitting. On the basis of a single model, the prediction accuracy is significantly improved by using the voting and stacking methods in ensemble learning. the prospect of broader application of ensemble learning techniques in medical AI is also discussed from the perspective of the volume of dataset, and possible ideas for the future emergence of classification models that are more suitable for application to medical problems are proposed.
the proceedings contain 91 papers. the topics discussed include: extraction in detecting tuberculosis x-ray results using histogram of oriented gradients;prediction model for diagnosis of pulpitis diseases using learn...
ISBN:
(纸本)9781665442886
the proceedings contain 91 papers. the topics discussed include: extraction in detecting tuberculosis x-ray results using histogram of oriented gradients;prediction model for diagnosis of pulpitis diseases using learning vector quantization 3;development of deep learning-based mobile application for predicting diabetes mellitus;leftovers food recognition using deep neural network and regression approach for objective visual analysis estimation;performance comparison of adaptive neuro fuzzy inference system and support vector machine algorithm in balanced and unbalanced multiclass data classification;determination of sex and race in forensic anthropology: a comparison of artificial neural network and support vector machine;brain-computer interface of motor imagery and emotion using multiple recurrent neural networks;and in silico prediction of Indonesian herbs compounds as Covid-19 supportive therapy using support vector machine.
Quantum technologies can provide innovative solutions to many complex problems, and thus quantum machinelearning has taken a unique place in the world of computing. Quantum technology reaches an advanced level when t...
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How to use the information resources is a very important part of graduate education. Meanwhile digital libraries can provide instructors and students with a repository of digital resources that have been peer reviewed...
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ISBN:
(纸本)9781424435197
How to use the information resources is a very important part of graduate education. Meanwhile digital libraries can provide instructors and students with a repository of digital resources that have been peer reviewed and checked for accuracy and authenticity. We take the knowledge maps as a tool to combine the digital resources and the e-learning environment. Knowledge maps can integrate the related digital resources, which will make the way of looking for the resources and the relationship of knowledge turn to the form of map so that the learners can better understand it. In this process we use the RDF, ontology language, XML etc. standards and technology and digital library can provide API to the knowledge maps. the application of knowledge maps can construct the macrostructure of knowledge and help the graduates form their knowledge system and obtain knowledge. Withthe help of the knowledge maps, the graduates' innovation ability will be trained well.
Build the multivariable model for teaching effect evaluation in tutoring system,and discuss the algorithm and application of multivariable sequential patterns mining in tutoring *** mining results can find the learnin...
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ISBN:
(纸本)9781467349994
Build the multivariable model for teaching effect evaluation in tutoring system,and discuss the algorithm and application of multivariable sequential patterns mining in tutoring *** mining results can find the learning habits and advantages of students,and help students to correct learning method and increase learning interest,so that we can realize the intervention and guidance of learning activities through tutoring system.
machinelearning based models provide substantial improvements in capturing more complex relationships and trends. In this study, we employed a widely used machinelearning algorithm called LightGBM. LightGBM is a dec...
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In an era where quality healthcare is pivotal for a successful life journey, challenges arise when seeking medical attention amid the ongoing pandemic. the traditional approach of consulting doctors in person or visit...
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the issue of fraud has become increasingly prevalent, with personal information frequently obtained through web addresses resulting in a high incidence of fraud. Traditional machinelearning methods or black and white...
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