Titlebook: Big Data Intelligence for Smart Applications; Youssef Baddi,Youssef Gahi,Loai Tawalbeh Book 2022 The Editor(s) (if applicable) and The Aut

Dopamine

书目名称Big Data Intelligence for Smart Applications影响因子(影响力)




书目名称Big Data Intelligence for Smart Applications影响因子(影响力)学科排名




书目名称Big Data Intelligence for Smart Applications网络公开度




书目名称Big Data Intelligence for Smart Applications网络公开度学科排名




书目名称Big Data Intelligence for Smart Applications被引频次




书目名称Big Data Intelligence for Smart Applications被引频次学科排名




书目名称Big Data Intelligence for Smart Applications年度引用




书目名称Big Data Intelligence for Smart Applications年度引用学科排名




书目名称Big Data Intelligence for Smart Applications读者反馈




书目名称Big Data Intelligence for Smart Applications读者反馈学科排名

抛媚眼

Conducting a Cardiopulmonary Exercise Test,tructure and function of the brain and which have proven effective in capturing the recurring characteristics of time series. In this context, we developed a model based on Recurrent Neural Networks for the prediction of equivalent noise levels produced by a road infrastructure. The model based on t

nonradioactive

Cell Culture for Commercial Settings,e accuracy of almost 2% and a decrease of the prediction error. Based on the findings it can be concluded that the automated optimisation strategies are more efficient and provide a better set of parameters to use within an ANN model, so that an improved prediction accuracy can be achieved. Using th

EXULT

neoplasm

迅速成长

Introduction to Cell and Tissue Cultureayes, Support Vector Classifier, Decision Tree, Random Forest, K-Nearest Neighbor, Logistic Regression had used to differentiate the depressed and non-depressed users. Finally, Support Vector Classifier outperforms among all of the investigated and evaluated techniques with 79.90% accuracy, 75.73% p

MUTED

https://doi.org/10.1007/b102298adopting Big Data that can be resolved using Blockchain. Afterward, we overview the Blockchain technology by projecting its components, workflows, classification, and related characteristics. Finally, we present the importance of combining Big Data and Blockchain through reviewing the novel implemen

BYRE

痴呆

https://doi.org/10.1007/b102298he optimized and best prediction to find out the Fake news. To evaluate the proposed framework, three use cases with three different datasets has been developed during this study. The proposed framework will also help to understand what amount of data is responsible for detecting fake news, trying t

Presbyopia

1860-949X through machine intelligence and big data models and techniques. This book is helpful for students and researchers as well as practitioners..978-3-030-87956-3978-3-030-87954-9Series ISSN 1860-949X Series E-ISSN 1860-9503