A critical analysis of methodologies for detection and classification of power quality events in smart grid

RK Beniwal, MK Saini, A Nayyar, B Qureshi… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, power quality (PQ) issues have drawn considerable attention of the researchers
due to the increasing awareness of the customers towards power quality. The PQ issues …

A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection

V Hajisalem, S Babaie - Computer Networks, 2018 - Elsevier
Due to the widespread use of the internet, computer systems are prone to information theft
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …

Sentiment analysis of review datasets using naive bayes and k-nn classifier

L Dey, S Chakraborty, A Biswas, B Bose… - arXiv preprint arXiv …, 2016 - arxiv.org
The advent of Web 2.0 has led to an increase in the amount of sentimental content available
in the Web. Such content is often found in social media web sites in the form of movie or …

Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease

T Vivekanandan, NCSN Iyengar - Computers in biology and medicine, 2017 - Elsevier
Enormous data growth in multiple domains has posed a great challenge for data processing
and analysis techniques. In particular, the traditional record maintenance strategy has been …

An integrated data-driven framework for urban energy use modeling (UEUM)

N Abbasabadi, M Ashayeri, R Azari, B Stephens… - Applied energy, 2019 - Elsevier
Many urban energy use modeling tools and methods have been developed to understand
energy use in cities, but often have limitations in aggregating across multiple scales and end …

Feature selection for text classification using genetic algorithms

N Bidi, Z Elberrichi - 2016 8th International Conference on …, 2016 - ieeexplore.ieee.org
In text classification, feature selection is essential to improve the classification effectiveness.
This paper provides an empirical study of a feature selection method based on genetic …

[HTML][HTML] A feature selection-based framework to identify biomarkers for cancer diagnosis: A focus on lung adenocarcinoma

O Abdelwahab, N Awad, M Elserafy, E Badr - Plos one, 2022 - journals.plos.org
Lung cancer (LC) represents most of the cancer incidences in the world. There are many
types of LC, but Lung Adenocarcinoma (LUAD) is the most common type. Although RNA-seq …

A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories

S Simsek, A Dag, T Tiahrt, A Oztekin - Omega, 2021 - Elsevier
Patients who miss their appointments (no-shows) reduce revenues and impair the delivery
of quality healthcare. Much research has been devoted to identifying “no-show patients”. In …

Developing a smart stock trading system equipped with a novel risk control mechanism for investors with different risk appetites

H Eskandari, A Sadegheih, HK Zare, MM Lotfi - Expert Systems with …, 2022 - Elsevier
Due to the increasing complexity of financial markets and the importance of prompt decision-
making in these markets, the use of smart trading systems by investors and capital market …

Filter-based feature selection methods for industrial sensor data: a review

S Luftensteiner, M Mayr, G Chasparis - International Conference on Big …, 2021 - Springer
The amount of produced data in industrial environments is continuously rising, containing
relevant but also irrelevant or redundant data. The size and dimensionality of gathered data …