Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for …

S Ghimire, RC Deo, N Raj, J Mi - Renewable and Sustainable Energy …, 2019 - Elsevier
The accurate prediction of global solar radiation (GSR) with remote sensing in metropolitan,
regional and remote, yet solar-rich sites, is a core requisite for cleaner energy utilization …

A new feature selection method to improve the document clustering using particle swarm optimization algorithm

LM Abualigah, AT Khader, ES Hanandeh - Journal of Computational …, 2018 - Elsevier
The large amount of text information on the Internet and in modern applications makes
dealing with this volume of information complicated. The text clustering technique is an …

Fault diagnosis of gearbox based on RBF-PF and particle swarm optimization wavelet neural network

L Yang, H Chen - Neural computing and applications, 2019 - Springer
The gear cracks of gear box are one of most common failure forms affecting gear shaft drive.
It has become significant for practice and economy to diagnose the situation of gearbox …

[PDF][PDF] Introduction

AK Richter, R Schlusemann, H Blom… - 2023 - library.oapen.org
Introduction Page 8 Rita Schlusemann, Helwi Blom, Anna Katharina Richter, and Krystyna
Wierzbicka-Trwoga Introduction Wil man och säija sin Meening och Skääl med fåå Ordh/ som …

Machine Learning for Computer and Cyber Security

BB Gupta, M Sheng - ed: CRC Press. Preface, 2019 - api.taylorfrancis.com
Names: Gupta, Brij, 1982-editor.| Sheng, Quan Z. editor. Title: Machine learning for computer
and cyber security: principles, algorithms, and practices/editors Brij B. Gupta, National …

CS-BPSO: Hybrid feature selection based on chi-square and binary PSO algorithm for Arabic email authorship analysis

W BinSaeedan, S Alramlawi - Knowledge-Based Systems, 2021 - Elsevier
Email authorship analysis is a challenging task involving the detection of an author's style to
help determine their identity. Emails represent a widespread application of big data, and …

[PDF][PDF] A review of feature selection and sentiment analysis technique in issues of propaganda

SR Ahmad, MZM Rodzi, NS Shapiei… - International …, 2019 - pdfs.semanticscholar.org
Propaganda is a form of communication that is used in influencing communities, or people in
general, to push forward an agenda for a certain goal. Nowadays, there are different means …

Automatic translation of spoken English based on improved machine learning algorithm

L Lin, J Liu, X Zhang, X Liang - Journal of Intelligent & Fuzzy …, 2021 - content.iospress.com
Due to the complexity of English machine translation technology and its broad application
prospects, many experts and scholars have invested more energy to analyze it. In view of …

Clinical risk assessment of chronic kidney disease patients using genetic programming

A Kumar, N Sinha, A Bhardwaj… - Computer Methods in …, 2022 - Taylor & Francis
Chronic kidney disease (CKD) is one of the serious health concerns in the twenty-first
century. CKD impacts over 37 million Americans. By applying machine learning (ML) …

Rumour veracity detection on twitter using particle swarm optimized shallow classifiers

A Kumar, SR Sangwan, A Nayyar - Multimedia Tools and Applications, 2019 - Springer
Abstract Information overload on Web has been a well-identified challenge which has
amplified with the advent of social web. Good, bad, true, false, useful, useless all kinds of …