Titlebook: Data Science and Artificial Intelligence; First International Chutiporn Anutariya,Marcello M. Bonsangue Conference proceedings 2023 The Ed

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书目名称Data Science and Artificial Intelligence影响因子(影响力)




书目名称Data Science and Artificial Intelligence影响因子(影响力)学科排名




书目名称Data Science and Artificial Intelligence网络公开度




书目名称Data Science and Artificial Intelligence网络公开度学科排名




书目名称Data Science and Artificial Intelligence被引频次




书目名称Data Science and Artificial Intelligence被引频次学科排名




书目名称Data Science and Artificial Intelligence年度引用




书目名称Data Science and Artificial Intelligence年度引用学科排名




书目名称Data Science and Artificial Intelligence读者反馈




书目名称Data Science and Artificial Intelligence读者反馈学科排名

Provenance

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有罪

A Modified Hybrid RBF-BP Network Classifier for Nonlinear Estimation/Classification and Its Applicat[., .] is proposed. The modified hybrid RBF-BP network is formulated as an adaptive incremental learning algorithm for a single-layer RBF hidden neuron layer. The algorithm uses a density clustering approach to determine the number of RBF hidden neurons and it maintains the self-learning process of

发微光

Infiltrate

Exploration of the Feasibility and Applicability of Domain Adaptation in Machine Learning-Based Codee to limited choices of the publicly available datasets, most of the machine learning-based classifiers were trained by the earlier versions of open-source projects that no longer represent the characteristics and properties of modern programming languages. Our experiments exhibit the feasibility an

Infiltrate

Web Usage Mining for Determining a Website’s Usage Pattern: A Case Study of Government Websiteyze a website’s usage. This study examined web usage mining to discover online users’ usage patterns and used the results to redesign and improve the government website. This study aims to help online customers obtain a better experience. A dataset was collected from the Metropolitan Electricity Aut

carbohydrate

Deep-Learning-Based LSTM Model for Predicting a Tidal River’s Water Levels: A Case Study of the Kapuing method to forecast the water level dynamics of the Kapuas Kecil River and determine the optimal window size for precise predictions. Our results reveal an optimal window size of 336 h (equivalent to 14 days) for water level prediction using LSTM in this coastal region. Using this optimal window

门窗的侧柱

Data Augmentation for EEG Motor Imagery Classification Using Diffusion Model brain-computer interfaces (BCIs). However, due to the limited amount of available data, overfitting is a common problem, especially when using a deep-learning classifier. One way to address this is by performing data augmentation. In this paper, we investigate the efficacy of the diffusion model as

Obstacle