Titlebook: Data Analytics and Computational Intelligence: Novel Models, Algorithms and Applications; Gilberto Rivera,Laura Cruz-Reyes,Alejandro Roset

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grudging

Cluster Analysis Using ,-Means in School Dropoutf their academic year. The results show that Random forest algorithm reaches a better performance than other algorithms. We show that applying our proposed clustering-based processing, our algorithm flagged as potential drop outs, 80% of those who actually did drop out. In conclusions section we dis

Cirrhosis

ureter

An Affiliated Approach to Data Validation: US 2020 Governor’s County Electionported by rigorous proof rather than any observation. All the data sets we used in this study have undergone in-depth analysis and several fitting tests. The dataset that has been picked to apply Benford’s and Zipf’s law is the 2020 US Governor’s County Election data.

出生

Big Data Platform as a Service for Anomaly Detection private, and hybrid clouds to obtain the same service. The National Laboratory of Information Technologies of the Autonomous University of Ciudad Juárez (LaNTI) offers computing infrastructure services to researchers inside and outside the institution. Due to their lack of expertise in infrastructu

OTTER

OTTER

Data Augmentation Techniques for Facial Image Generation: A Brief Literature Reviewtheir definition, architecture, training, and challenges, are described. Additionally, the implementation of a GAN architecture for the generation of artificial face images from a public set of images is presented. The need for a great computational capacity to generate images with great sharpness a

flammable

A Review on Machine Learning Aided Multi-omics Data Integration Techniques for Healthcaresent various but complementary biological layers. By making it possible to thoroughly examine biological systems and molecular underpinnings of disease development, these data have changed healthcare research. There is a strong trend toward adding multi-omics analysis into healthcare research to exp

Harrowing

Learning of Conversational Systems Based on Linguistic Data Summarization Applications in BIM Enviroased on the criteria applicability and adequacy of the conversational system responses. It is shown that the application of linguistic data summarization techniques for learning conversational systems improves the behavior of these systems significantly.

GRAIN

Fuzzified Case-Based Reasoning Blockchain Framework for Predictive Maintenance in Industry 4.0duction loss. This has led to the motive for developing a fuzzified case-based reasoning blockchain framework for predictive maintenance in Industry 4.0. The fuzzified case-based reasoning blockchain (FCBRB) framework is a convincing model that permits the use of fuzzy-based rules to ease the uncert