Titlebook: Information Management and Big Data; 8th Annual Internati Juan Antonio Lossio-Ventura,Jorge Valverde-Rebaza, Conference proceedings 2022 Th

avarice

Enterprise Architecture Based on TOGAF for the Adaptation of Educational Institutions to e-Learning validated in a private school in Lima with 70 students, 2 teachers, and 1 director, where it was shown that our proposal increased user satisfaction by 18.97%, positively increased adaptation to virtual classes by 28.50%, and also obtained a 75.34% acceptance of our proposal by the subjects of study

WITH

Quality Model for Educational Mobile Apps Based on SQuaRE and AHP have been established. The results proved that . and . have very similar scores in each assessed characteristic; in the case of ., there is a difference of 0.006 in favor of ., for ., there is a difference of 0.150 in favor of ., and for ., regarding authentication rules and mechanisms, both apps o

Infinitesimal

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FILTH

Juan Antonio Lossio-Ventura,Jorge Valverde-Rebaza,

refine

確保

脆弱帶來

Cholagogue

Classical Machine Learning vs Deep Learning for Detecting Cyber-Violence in Social Mediapare with Deep Learning (DL) techniques in a small dataset setting. The results were in favor of classical ML. The findings highlight that psychological characteristics extracted from user-generated text are strong predictors of his harmful behavior.

Working-Memory

A Study of?Dynamic Convolutional Neural Network Technique for?SCOTUS Legal Opinions Data Classificats. In this paper, we present a Neural Network based model with a dynamic input length for classifying legal opinions from cases seen by the Supreme Court of the United States (SCOTUS) (.). The proposed model, tested over a real-world legal opinions dataset, by the way, proved better performance than the other baseline methods.