Epileptic-seizure classification using phase-space representation of FBSE-EWT based EEG sub-band signals and ensemble learners

A Anuragi, DS Sisodia, RB Pachori - Biomedical signal processing and …, 2022 - Elsevier
Electroencephalogram (EEG) signals are non-linear and non-stationary in nature. The
phase-space representation (PSR) method is useful for analysing the non-linear …

Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study

SS Islam, MS Haque, MSU Miah, TB Sarwar… - PeerJ Computer …, 2022 - peerj.com
Thyroid disease is the general concept for a medical problem that prevents one's thyroid
from producing enough hormones. Thyroid disease can affect everyone—men, women …

BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning

OD Okey, SS Maidin, P Adasme, R Lopes Rosa… - Sensors, 2022 - mdpi.com
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …

RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu

R Verma, S Chandra - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The impetuous expansion of the Internet of Things (IoT) network has resulted in a noticeable
increase in the production of sensitive user data. With this, to meet the demand for real-time …

Determining the efficiency of drugs under special conditions from users' reviews on healthcare web forums

E Saad, S Din, R Jamil, F Rustam, A Mehmood… - IEEE …, 2021 - ieeexplore.ieee.org
Sentiment analysis is the extraction and categorization of sentiments that have been
expressed in text data using text analysis techniques. Manifested by earlier studies …

A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection

MA Hossain, MS Islam - Scientific Reports, 2023 - nature.com
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex
security challenge. Existing detection systems are continually outmaneuvered by the …

A multi-variate heart disease optimization and recognition framework

HM Balaha, AO Shaban, EM El-Gendy… - Neural Computing and …, 2022 - Springer
Cardiovascular diseases (CVD) are the most widely spread diseases all over the world
among the common chronic diseases. CVD represents one of the main causes of morbidity …

Road scanner: A road state scanning approach based on machine learning techniques

A Mihoub, M Krichen, M Alswailim, S Mahfoudhi… - Applied Sciences, 2023 - mdpi.com
The state of roads may sometimes be difficult to perceive due to intense climate conditions,
absence of road signs, or simply human inattention, which may be harmful to both vehicles …

Predicting genetic disorder and types of disorder using chain classifier approach

A Raza, F Rustam, HUR Siddiqui, IT Diez… - Genes, 2022 - mdpi.com
Genetic disorders are the result of mutation in the deoxyribonucleic acid (DNA) sequence
which can be developed or inherited from parents. Such mutations may lead to fatal …

A Comprehensive Survey on Ensemble Machine Learning Approaches for Detection of Intrusion in IoT Networks

JJ Shirley, M Priya - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Threats to network security have been increasing leading to severe network attacks such
that a simple firewall will not be sufficient to deter challenging and complicated attacks …