Perfomance analysis of Naive Bayes method with data weighting

A Afdhaluzzikri, H Mawengkang… - Sinkron: jurnal dan …, 2022 - jurnal.polgan.ac.id
Classification using naive bayes algorithm for air quality dataset has an accuracy rate of
39.97%. This result is considered not good and by using all existing data attributes. By doing …

Drowsiness Detection for Automotive Drivers in Real-Time

R Chandana, J Sangeetha - Proceedings of Fourth International …, 2023 - Springer
This paper presents IoT-based monitoring system for drowsiness detection for automotive
drivers in real-time. The proposed system undergoes three levels of drowsiness detection …

EEG eye state prediction and classification in order to investigate human cognitive state

S Bharati, P Podder… - … on Advancement in …, 2018 - ieeexplore.ieee.org
Finding human cognitive state is very useful for medical cares in our daily life. EEG eye state
classification is a common time series problem for detecting human cognitive state. A …

[PDF][PDF] Comparing the performances of ensemble-classifiers to detect eye state

K Akyol, A Karacı - Int. J. Inf. Technol. Comput. Sci., 2022 - academia.edu
Brain signals required for the brain-computer interface are obtained through the
electroencephalography (EEG) method. EEG data is used in the analysis of many problems …

[PDF][PDF] Ensemble classifier for eye state classification using EEG signals

AA Al-Taei - journal of the college of basic education, 2017 - iasj.net
The growing importance and utilization of measuring brain waves (eg EEG signals of eye
state) in brain computer interface (BCI) applications highlighted the need for suitable …

[PDF][PDF] Comparison of random forest and J48 decision tree classifiers using HHT based features in EEG

SG Eraldemir, MT Arslan, Y Esen - … Advanced Researches & …, 2017 - researchgate.net
In this study, the performances of Random Forest and J48 Decision Tree are compared for
classification of EEG signals recorded during basic mathematical operations and text …

[PDF][PDF] Técnicas de aprendizaje automático aplicadas a electroencefalogramas.

O Santa Cruz, L del Mar Ramírez… - Res. Comput. Sci …, 2016 - rcs.cic.ipn.mx
Los electroencefalogramas (EEG) almacenan la actividad cerebral en un instante de tiempo
determinado. Actualmente los EEG son utilizados en disciplinas médicas, cientıficas y …

Statistical performance effect of feature selection techniques on eye state prediction using EEG

J de Dieu Uwisengeyimana… - … Journal of Statistics …, 2016 - lifescienceglobalca.com
Several recent studies have demonstrated that electrical waves recorded by
electroencephalogram (EEG) can be used to Predict eye state (Open or Closed) and all the …

K-NN with Purity Algorithm to Enhance the Classification of the Air Quality Dataset

S Retno, N Hasdyna, B Yafis - Journal of Advanced Computer …, 2024 - ojs.unimal.ac.id
The large number of attributes in a large dataset can cause a decrease in the level of
classification accuracy. Attribute reduction can be a solution to improve classification …

Prediction-Based Analysis of Diesel Prices Using Naïve Bayes Classifier Model

PR Singh, T Sangrai, A Kaur - International Conference on Data Analytics …, 2023 - Springer
Diesel oil is one of the most consumable fuels in the world. The Naïve Bayes fits in the
dataset which is dependent upon the type of provided data points. We have used two …