Early model of student's graduation prediction based on neural network

B Rahmani, H Aprilianto - … Computing Electronics and Control), 2014 - telkomnika.uad.ac.id
Predicting timing of student graduation would be a valuable input for the management of a
Department at a University. However, this is a difficult task if it is done manually. With the …

Development of Text Classification Based on Difficulty Level in Adaptive Learning System using Convolutional Neural Network

UL Yuhana, A Djunaidy… - 2021 International …, 2021 - ieeexplore.ieee.org
Text classification is advantageous and necessary in a variety of fields. The adaptive
learning system is one of the sectors that requires text classification. Adaptive learning is a …

Detection of induction motor bearing damage with starting current analysis using wavelet discrete transform and artificial neural network

E Navasari, DA Asfani… - 2018 10th International …, 2018 - ieeexplore.ieee.org
Bearing damage in induction motor is one of the most common fault. The type of bearing
damage itself consists of damage to the inner-race, outer-race and ball bearing. The …

Design of a-based smart meters to monitor electricity usage in the household sector using hybrid particle swarm optimization-neural network

MY Yunus, M Marhatang, A Pangkung… - International Journal of …, 2019 - ijair.id
The procedure is training and testing the nerves that will be made. Matlab software has a
Neural Network tool, which in this study will be used. Load sampling data is used as input …

[PDF][PDF] The remaining life of distribution transformer prediction by using neuro-wavelet method.

N Elok, RI Putri, A Priyadi - Przeglad Elektrotechniczny, 2023 - pe.org.pl
The distribution transformer is one of the important equipment in delivering electricity to
consumers. Apart from the normal use, fault conditions in the transformer can cause the life …

Vibration analysis for the classification of damage motor PT Petrokimia Gresik using fast fourier transform and neural network

A Musthofa, DA Asfani, IMY Negara… - … Technology and Its …, 2016 - ieeexplore.ieee.org
The electric motor is an important equipment to use in the industrialized world. Because its
function is very crucial, so the damage of this electric motor will directly affect the production …

Power Transformer Loading Analysis in order to improve the Reliability of a Substation

R Syahputra, LF Arrozak - Journal of Electrical Technology UMY, 2017 - journal.umy.ac.id
This paper presents the power transformer loading analysis in order to improve the reliability
of a substation. The substation that was the location of the study was the 150/20 KV …

Classifying beneficiaries of islamic boarding school rehabilitation aid based on neural network approaches: A case of the religious affair ministry of East Java …

AAA Almafaluti, SMS Nugroho… - … on Information and …, 2018 - ieeexplore.ieee.org
Islamic Boarding Schools (pesantren in Indonesian language) often need government
funding grants for improving education services, ie rehabilitation aid. Many affecting …

Reservoir zone prediction using logging data-multi well based on levenberg-marquardt method

E Utami, AD Wibawa, TR Biyanto… - 2017 IEEE Symposium …, 2017 - ieeexplore.ieee.org
Well logging is a well-known and effective method for oil and natural gas exploration in new
fields in order to enhance oil and gas production. Well Logging is defined as an acquisition …

[PDF][PDF] Neural network model of polymer electrolyte membran fuel cell for electrical vehicle

S Sudaryono, M Ashari - Journal of Theoretical and Applied Information …, 2013 - jatit.org
ABSTRACT This paper presents Neural Network (NN) model of Polymer Electrolyte
Membran (PEM) Fuel Cell for electric vehicle. The NN model simplifies the conventional …