Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

A Diez-Olivan, J Del Ser, D Galar, B Sierra - Information Fusion, 2019 - Elsevier
The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …

A comprehensive survey on portfolio optimization, stock price and trend prediction using particle swarm optimization

A Thakkar, K Chaudhari - Archives of Computational Methods in …, 2021 - Springer
Stock market trading has been a subject of interest to investors, academicians, and
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …

Survey on computational-intelligence-based UAV path planning

Y Zhao, Z Zheng, Y Liu - Knowledge-Based Systems, 2018 - Elsevier
The key objective of unmanned aerial vehicle (UAV) path planning is to produce a flight path
that connects a start state and a goal state while meeting the required constraints …

On the formulation of Adams-Bashforth scheme with Atangana-Baleanu-Caputo fractional derivative to model chaotic problems

KM Owolabi, A Atangana - Chaos: An Interdisciplinary Journal of …, 2019 - pubs.aip.org
Mathematical analysis with the numerical simulation of the newly formulated fractional
version of the Adams-Bashforth method using the Atangana-Baleanu operator which has …

Prediction of risk delay in construction projects using a hybrid artificial intelligence model

ZM Yaseen, ZH Ali, SQ Salih, N Al-Ansari - Sustainability, 2020 - mdpi.com
Project delays are the major problems tackled by the construction sector owing to the
associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) …

UAV path planning and collision avoidance in 3D environments based on POMPD and improved grey wolf optimizer

W Jiang, Y Lyu, Y Li, Y Guo, W Zhang - Aerospace science and technology, 2022 - Elsevier
Due to the complexity and uncertain factors of the environment, a 3D path planning
algorithm is urgently needed. This paper presents a 3D optimal feasible flight path …

Design and analysis of tilt integral derivative controller with filter for load frequency control of multi-area interconnected power systems

RK Sahu, S Panda, A Biswal, GTC Sekhar - ISA transactions, 2016 - Elsevier
In this paper, a novel Tilt Integral Derivative controller with Filter (TIDF) is proposed for Load
Frequency Control (LFC) of multi-area power systems. Initially, a two-area power system is …

A second-order sliding mode and fuzzy logic control to optimal energy management in wind turbine with battery storage

B Meghni, D Dib, AT Azar - Neural Computing and Applications, 2017 - Springer
The optimal control of large-scale wind turbine has become a critical issue for the
development of renewable energy systems and their integration into the power grid to …

[HTML][HTML] Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts

M Dashtban, M Balafar - Genomics, 2017 - Elsevier
Gene selection is a demanding task for microarray data analysis. The diverse complexity of
different cancers makes this issue still challenging. In this study, a novel evolutionary …

SVM kernel based on particle swarm optimized vector and Bayesian optimized SVM in atmospheric particulate matter forecasting

GN Kouziokas - Applied Soft Computing, 2020 - Elsevier
Abstract The application of Artificial Intelligence (AI) has been upgraded in many scientific
fields the last years, with the development of new artificial intelligence-based technologies …