Customer churn prediction in the telecommunication sector using a rough set approach
Customer churn is a critical and challenging problem affecting business and industry, in
particular, the rapidly growing, highly competitive telecommunication sector. It is of …
particular, the rapidly growing, highly competitive telecommunication sector. It is of …
Learning-based proxy collision detection for robot motion planning applications
This article demonstrates that collision detection-intensive applications such as robotic
motion planning may be accelerated by performing collision checks with a machine learning …
motion planning may be accelerated by performing collision checks with a machine learning …
Classification of medicinal plant leaf image based on multi-feature extraction
HX Kan, L Jin, FL Zhou - Pattern recognition and image analysis, 2017 - Springer
Medicinal plants are the main source of traditional Chinese medicine (TCM), which provides
the basic protection of human health. The research and application of medicinal plant …
the basic protection of human health. The research and application of medicinal plant …
Very sparse LSSVM reductions for large-scale data
R Mall, JAK Suykens - IEEE transactions on neural networks …, 2015 - ieeexplore.ieee.org
Least squares support vector machines (LSSVMs) have been widely applied for
classification and regression with comparable performance with SVMs. The LSSVM model …
classification and regression with comparable performance with SVMs. The LSSVM model …
Analysis of cardiac single-cell RNA-sequencing data can be improved by the use of artificial-intelligence-based tools
Single-cell RNA sequencing (scRNAseq) enables researchers to identify and characterize
populations and subpopulations of different cell types in hearts recovering from myocardial …
populations and subpopulations of different cell types in hearts recovering from myocardial …
Structural learning in artificial neural networks using sparse optimization
M Manngård, J Kronqvist, JM Böling - Neurocomputing, 2018 - Elsevier
In this paper, the problem of simultaneously estimating the structure and parameters of
artificial neural networks with multiple hidden layers is considered. A method based on …
artificial neural networks with multiple hidden layers is considered. A method based on …
Novel Artificial Immune Networks-based optimization of shallow machine learning (ML) classifiers
Abstract Artificial Immune Networks (AIN) is a population-based evolutionary algorithm that
is inspired by theoretical immunology. It applies ideas and metaphors from the biological …
is inspired by theoretical immunology. It applies ideas and metaphors from the biological …
A fast and accurate compound collision detector for RRT motion planning
S Wu, G Liu, Y Zhang, A Xue - Robotics and Autonomous Systems, 2023 - Elsevier
The application of artificial intelligence tools has led to newly developed collision detectors
which have better computational efficiency than the kinematics-and-geometry based …
which have better computational efficiency than the kinematics-and-geometry based …
Intelligent positioning approach for high speed trains based on ant colony optimization and machine learning algorithms
For high-speed train (HST), high-precision of train positioning is important to guarantee train
safety and operational efficiency. For improving train positioning accuracy, we develop a …
safety and operational efficiency. For improving train positioning accuracy, we develop a …
Cardiomyocyte Cell-Cycle Regulation in Neonatal Large Mammals: Single Nucleus RNA-Sequencing Data Analysis via an Artificial-Intelligence–Based Pipeline
Adult mammalian cardiomyocytes have very limited capacity to proliferate and repair the
myocardial infarction. However, when apical resection (AR) was performed in pig hearts on …
myocardial infarction. However, when apical resection (AR) was performed in pig hearts on …