A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges

AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Investigating the role of image fusion in brain tumor classification models based on machine learning algorithm for personalized medicine

R Nanmaran, S Srimathi, G Yamuna… - … Methods in Medicine, 2022 - Wiley Online Library
Image fusion can be performed on images either in spatial domain or frequency domain
methods. Frequency domain methods will be most preferred because these methods can …

[PDF][PDF] A novel approach for Parkinson's disease detection based on voice classification and features selection techniques

A Ouhmida, A Raihani, B Cherradi, O Terrada - Int. J. Onl. Eng., 2021 - academia.edu
Parkinson's disease (PD) is one of the most widespread diseases that, primarily, affects the
motor system of the neural central system. In fact, PD is characterized by tremors, stiffness of …

Predicting travel insurance purchases in an insurance firm through machine learning methods after COVID-19

ST Lim, JY Yuan, KW Khaw, XY Chew - Journal of Informatics and …, 2023 - mmupress.com
Travel insurance serves as a crucial financial safeguard, offering coverage against
unforeseen expenses and losses incurred during travel. With the advent of the proliferation …

An assessment of decision tree based classification and regression algorithms

S Pathak, I Mishra… - 2018 3rd International …, 2018 - ieeexplore.ieee.org
Decision tree as the name suggests are tree structured predictive model. They are one of the
most powerful tools in data mining and machine learning, as it is very easy for a person to …

A comparison of neural and non-neural machine learning models for food safety risk prediction with European Union RASFF data

A Nogales, R Díaz-Morón, ÁJ García-Tejedor - Food Control, 2022 - Elsevier
European Union launched the RASFF portal in 1977 to ensure cross-border monitoring and
a quick reaction when public health risks are detected in the food chain. There are not …

[HTML][HTML] Predictive fraud analysis applying the fraud triangle theory through data mining techniques

M Sánchez-Aguayo, L Urquiza-Aguiar… - Applied Sciences, 2022 - mdpi.com
Fraud is increasingly common, and so are the losses caused by this phenomenon. There is,
thus, an essential economic incentive to study this problem, particularly fraud prevention …

Analysis of the proficiency of fully connected neural networks in the process of classifying digital images. Benchmark of different classification algorithms on high-level …

J Janke, M Castelli, A Popovič - Expert Systems with Applications, 2019 - Elsevier
Over the course of research on convolutional neural network (CNN) architectures, few
modifications have been made to the fully connected layers at the ends of the networks. In …

Comparison Decision Tree and Logistic Regression Machine Learning Classification Algorithms to determine Covid-19

A Arista - Sinkron: jurnal dan penelitian teknik informatika, 2021 - jurnal.polgan.ac.id
Many people today are unsure whether they have COVID-19. The frequent fever, dry cough,
and sore throat are all signs and symptoms of COVID-19. If a person has signs or symptoms …

Prediction of Parkinson's disease using Ensemble Machine Learning classification from acoustic analysis

AK Patra, R Ray, AA Abdullah… - Journal of physics …, 2019 - iopscience.iop.org
Parkinson's disease (PD) is a neurodegenerative disorder, which upon progression affects
the movements. Tremors associated with Parkinson's disease are the major symptoms to …