Overview and comparative study of dimensionality reduction techniques for high dimensional data

S Ayesha, MK Hanif, R Talib - Information Fusion, 2020 - Elsevier
The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

[HTML][HTML] Review of dimension reduction methods

S Nanga, AT Bawah, BA Acquaye, MI Billa… - Journal of Data Analysis …, 2021 - scirp.org
Purpose: This study sought to review the characteristics, strengths, weaknesses variants,
applications areas and data types applied on the various Dimension Reduction techniques …

Emerging applications of bio-inspired algorithms in image segmentation

S Larabi-Marie-Sainte, R Alskireen, S Alhalawani - Electronics, 2021 - mdpi.com
Image processing is one example of digital media. It consists of a set of operations to handle
an image. Image segmentation is among its main important operations. It involves dividing …

An enhanced Kriging surrogate modeling technique for high-dimensional problems

Y Zhou, Z Lu - Mechanical Systems and Signal Processing, 2020 - Elsevier
Surrogate modeling techniques are widely used to simulate the behavior of manufactured
and engineering systems. The construction of such surrogate models may become …

Spatiotemporal variation analysis of regional flood disaster resilience capability using an improved projection pursuit model based on the wind-driven optimization …

D Liu, J Feng, H Li, Q Fu, M Li, MA Faiz, S Ali… - Journal of Cleaner …, 2019 - Elsevier
Due to the weak methods available for evaluation of the resilience of regional flood disaster
systems and the lack of research on the driving mechanism of resilience, by exploring the …

Resilient composition of drone services for delivery

B Shahzaad, A Bouguettaya, S Mistry… - Future Generation …, 2021 - Elsevier
We propose a novel resilient drone service composition framework for delivery in dynamic
weather conditions. We use a skyline approach to select an optimal set of candidate drone …

A new stochastic approach for solution of Riccati differential equation of fractional order

MAZ Raja, JA Khan, IM Qureshi - Annals of Mathematics and Artificial …, 2010 - Springer
In this article, a stochastic technique has been developed for the solution of nonlinear
Riccati differential equation of fractional order. Feed-forward artificial neural network is …

Skewness-based projection pursuit: A computational approach

N Loperfido - Computational Statistics & Data Analysis, 2018 - Elsevier
Projection pursuit is a multivariate statistical technique aimed at finding interesting low-
dimensional data projections by maximizing a measure of interestingness commonly known …

[PDF][PDF] Research on the evaluation of the resilience of subway station projects to waterlogging disasters based on the projection pursuit model

L Liu, H Wu, J Wang, T Yang - Mathematical biosciences and …, 2020 - aimspress.com
To improve sustainable development, increasingly more attention has been paid to the
evaluation of the resilience to waterlogging disasters. This paper proposed a projection …

Projection pursuit evaluation model of a regional surface water environment based on an Ameliorative Moth-Flame Optimization algorithm

D Liu, G Zhang, H Li, Q Fu, M Li, MA Faiz, S Ali, T Li… - Ecological …, 2019 - Elsevier
In order to improve the accuracy of regional water environment assessments, an improved
projection pursuit water quality evaluation model (AMFO-PPE) was developed that was …