Sensor-based datasets for human activity recognition–a systematic review of literature

E De-La-Hoz-Franco, P Ariza-Colpas, JM Quero… - IEEE …, 2018 - ieeexplore.ieee.org
The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

[HTML][HTML] Estimation of obesity levels based on computational intelligence

RC Cervantes, UM Palacio - Informatics in Medicine Unlocked, 2020 - Elsevier
Obesity is a worldwide disease that affects people of all ages and gender; in consequence,
researchers have made great efforts to identify factors that cause it early. In this study, an …

A fuzzy system for combining filter features selection methods

S Cateni, V Colla, M Vannucci - International Journal of Fuzzy Systems, 2017 - Springer
Feature selection is considered as one of the most important data pre-processing step in
different modelling fields, especially for prediction and classification purposes. Feature …

Intrusion detection with autoencoder based deep learning machine

O Kaynar, AG Yüksek, Y Görmez… - 2017 25th Signal …, 2017 - ieeexplore.ieee.org
In changing and constantly evolving information age, together with the developments in
computer and internet technology, the production, digitization, storage and sharing of …

Parkinson disease analysis using supervised and unsupervised techniques

P Ariza-Colpas, R Morales-Ortega… - Advances in Swarm …, 2019 - Springer
Parkinson's disease is classified as a disease of neurological origin, which is degenerative
and chronic. Currently, the number of people affected by this disease has increased, one in …

Teleagro: iot applications for the georeferencing and detection of zeal in cattle

P Ariza-Colpas, R Morales-Ortega… - … Information Systems and …, 2019 - Springer
The loss of reproductive efficiency of animals and cattle rustling have become one of the
main concerns of farmers. The decrease in reproductive efficiency is mainly due to the low …

Training and Classification Techniques in Intrusion Detection Systems Based on Network Anomalies Comparative Study

J Mardini-Bovea, D Salcedo, I Nagles-Pozo… - New Perspectives in …, 2024 - Springer
Computer network security is vital due to the large volume of data handled. One of the
security tools available to large companies is Intrusion Detection Systems (IDS). However …

Enkephalon-technological platform to support the diagnosis of alzheimer's disease through the analysis of resonance images using data mining techniques

P Ariza-Colpas, M Piñeres-Melo… - Advances in Swarm …, 2019 - Springer
Dementia can be considered as a decrease in the cognitive function of the person. The main
diseases that appear are Alzheimer and vascular dementia. Today, 47 million people live …

[PDF][PDF] Selecting prominent api calls and labeling malicious samples for effective malware family classification

CC San, MMS Thwin - … Journal of Computer Science and Information …, 2019 - academia.edu
Today's threats have become very complex and serious in their packing and encryption
techniques. Every day new malware variants are becoming increasingly in quantity together …

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 …