Skip to content
  • IEEE.org
  • IEEE Xplore Digital Library
  • IEEE Standards
  • IEEE Spectrum
  • More Sites
EIRCON 2021
What would you like to search for?
IEEE
  • HOME
  • Program Schedule
  • Social Activity
  • Login
  • Register Here

Paper 88: Predicting academic performance using automatic learning techniques: a review of the scientific literature

Authors:
Jacob Molina-Astorayme
Michael Cabanillas-Carbonell
 

Paper 99: Pest Incidence Prediction in Organic Banana Crops with Machine Learning Techniques

Authors:
Estefani Almeyda
Jayro Paiva
William Ipanaqué

Paper 78: Application of Machine Learning in the Discrimination of Citrus Fruit Juices: Uses of Dielectric Spectroscopy

Authors:
Tony Chuquizuta Trigoso
Jimy Oblitas Cruz
Hubert Arteaga Miñano
Wilson Castro Silupu

Paper 71: Performance comparison between PD and PID Controller in an upper limb Exoskeleton by analyzing an arm trajectory modeled with Image Recognition

Authors:
Johan Nuñez Quispe
Daryl Campusano Solis
Jorhdan Huamanchumo León
Leonardo Milián Ccopa
 

Paper 70: A mobile application based on expert judgment and their influence on investigations

Authors:
Anthony Sánchez
Ronald Tinco
Jose Luis Herrera

Paper 50: Design and Evaluation of a Convolutional Neural Network for Banana Leaf Diseases Classification

Authors:
Antonio Criollo
Miguel Mendoza
Eduardo Saavedra
Gustavo Vargas

Paper 49: Blockchain-based Website Solution for Controlling the Authorized Sale of Drugs in Peru

Paper 23: Content-Based Image Classification for Sheet Music Books Recognition

Authors:
Diego Jesus Lozano-Mejía
Enrique Paul Vega-Uribe
Willy Ugarte

Paper 22: Varicella zoster early detection with deep learning

Authors:
R. Arias
J. Mejía

Paper 15: Intelligent System Based on Wavelets for Automatic Facial Emotion Recognition

Authors:
Fiorella Andrea Alejos Yarasca
Santiago Domingo Moquillaza Henríquez

Posts navigation

1 2 Next
  • Home
  • Sitemap
  • Accessibility
  • Nondiscrimination Policy
  • Terms and Conditions
  • IEEE Privacy Policy

© Copyright 2023 IEEE – All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A not-for-profit organization, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

Join IEEE
Back to Top