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Prediction of Retweets Based on User, Content, and Time Features Using
EUSBoost
Twitter is one of the popular microblogs that allow users to write posts. Retweeting is one of the mechanisms for the diffusion
of information on Twitter. One way to understand the spread of information is to learn about retweet predictions. This…
of information on Twitter. One way to understand the spread of information is to learn about retweet predictions. This…
Prediction of Peak Ground Acceleration (PGA) in Java Using Artificial Neural Network Method
Java is one of the islands in Indonesia that frequently experiences earthquakes. Earthquakes can cause significant ground motion that can damage buildings and threaten human life. Peak Ground Acceleration (PGA) is a measure of the maximum …
Prediction of On-time Student Graduation with Deep Learning Method
Universities have an important role in providing quality education to their students so they can build a foundation for their future. However, aproblem that often arises is that the process experienced will be different for each individual.…
PREDICTION OF FINANCIAL DISTRESS IN THE AUTOMOTIVE COMPONENT INDUSTRY:AN APPLICATION OF ALTMAN, SPRINGATE, OHLSON, AND ZMIJEWSKI MODELS
This study aims to identify and examine the condition of financial distress in the automotive component industry issuers in the period 2014 ~ 2018, using the Altman Z-score, Springate S-score, Ohlson O-score, and Zmijewski …
Prediction of difficult laryngoscopy / difficult intubation cases using upper airway ultrasound measurements in emergency department: a prospective observational study
Introduction Difficult laryngoscopy and intubation are serious problems among critically ill patients in emergency
department (ED) so utility of a rapid, accurate and noninvasive method for predicting of these patients are necessary.…
department (ED) so utility of a rapid, accurate and noninvasive method for predicting of these patients are necessary.…
PREDICTION OF BRAND AWARENESS ON PURCHASING DECISIONS:
BRAND IMAGE AS MEDIATION
This study aims to examine and analyze the effect of brand ambassadors and brand awareness on purchasing decisions and measure the role of brand image as a mediating variable in the influence of brand ambassadors and brand awareness on purchasing…
Prediction of a time-sensitive condition among patients with dizziness assessed by the emergency medical services
Background: Dizziness is a relatively common symptom among patients who call for the emergency medical
services (EMS).
Aim: To identify factors of importance for the early identification of a time-sensitive condition behind the symptom
of…
services (EMS).
Aim: To identify factors of importance for the early identification of a time-sensitive condition behind the symptom
of…
Predicting The Number of Tourists Based on Backpropagation Algorithm
The number of tourists always fluctuates every month, as happened in Kaliadem Merapi, Sleman. The purpose of this research is to develop a prediction system for the number of tourists based on artificial neural networks. This study uses an artificial…
Predicting the Growth of e-Commerce using Trendline Analysis: A Case Study of Ogun State, Nigeria
There is a growing interest from e-commerce planners and other planning agencies in the Information Technology world to measure and forecast the growth of e-commerce in developing countries like Nigeria. The difficulties lie in finding the best…
Predicting mortality among septic patients presenting to the emergency department– a cross sectional analysis using machine learning
Background: Sepsis is a life-threatening condition, causing almost one fifth of all deaths worldwide. The aim of the
current study was to identify variables predictive of 7- and 30-day mortality among variables reflective of the
presentation of…
current study was to identify variables predictive of 7- and 30-day mortality among variables reflective of the
presentation of…