[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …
connect to the Internet to collect and share data. The introduction of varied devices …
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
The explosive growth of data in volume, velocity and diversity that are produced by medical
applications has contributed to abundance of big data. Current solutions for efficient data …
applications has contributed to abundance of big data. Current solutions for efficient data …
[HTML][HTML] Microarray cancer feature selection: Review, challenges and research directions
Microarray technology has become an emerging trend in the domain of genetic research in
which many researchers employ to study and investigate the levels of genes' expression in a …
which many researchers employ to study and investigate the levels of genes' expression in a …
Riccardo Poli, William B. Langdon, Nicholas F. McPhee: A Field Guide to Genetic Programming: Lulu. com, 2008, 250 pp, ISBN 978-1-4092-0073-4
M O'Neill - 2009 - Springer
The latest book on Genetic Programming, Poli, Langdon and McPhee's (with contributions
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
from John R. Koza) A Field Guide to Genetic Programming represents an exciting landmark …
Information gain directed genetic algorithm wrapper feature selection for credit rating
S Jadhav, H He, K Jenkins - Applied Soft Computing, 2018 - Elsevier
Financial credit scoring is one of the most crucial processes in the finance industry sector to
be able to assess the credit-worthiness of individuals and enterprises. Various statistics …
be able to assess the credit-worthiness of individuals and enterprises. Various statistics …
Markov blanket-embedded genetic algorithm for gene selection
Microarray technologies enable quantitative simultaneous monitoring of expression levels
for thousands of genes under various experimental conditions. This new technology has …
for thousands of genes under various experimental conditions. This new technology has …
Applications of support vector machines in chemistry
O Ivanciuc - Reviews in computational chemistry, 2007 - Wiley Online Library
Kernel-based techniques (such as support vector machines, Bayes point machines, kernel
principal component analysis, and Gaussian processes) represent a major development in …
principal component analysis, and Gaussian processes) represent a major development in …
A hybrid method consisting of GA and SVM for intrusion detection system
In this paper, a hybrid method of support vector machine and genetic algorithm (GA) is
proposed and its implementation in intrusion detection problem is explained. The proposed …
proposed and its implementation in intrusion detection problem is explained. The proposed …
Optimal dissolved gas ratios selected by genetic algorithm for power transformer fault diagnosis based on support vector machine
J Li, Q Zhang, K Wang, J Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Dissolved gas analysis (DGA) of oil is used to detect the incipient fault of power
transformers. This paper presents a new approach for transformer fault diagnosis based on …
transformers. This paper presents a new approach for transformer fault diagnosis based on …
Diagnosis and classification of cancer using hybrid model based on ReliefF and convolutional neural network
Abstract Machine learning and deep learning methods aims to discover patterns out of
datasets such as, microarray data and medical data. In recent years, the importance of …
datasets such as, microarray data and medical data. In recent years, the importance of …