Search Results - Optimized negative selection algorithm

Optimized Negative Selection Algorithm for Image Classification in Multimodal Biometric System

Authors: Monsurat Omolara Balogun Latifat Adeola Odeniyi Elijah Olusola Omidiora et al.

Source: Acta Informatica Pragensia, Vol 12, Iss 1, Pp 3-18 (2023)

Subject Terms: artificial immune system, teaching-learning-based optimization algorithm, recognition accuracy, negative selection algorithm, Electronic computers. Computer science, nsa, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, optimized negative selection algorithm, 3. Good health

Access URL: https://doaj.org/article/49bd981510444fb987412e47ae866fa9

PSO-Optimized Negative Selection Algorithm for Anomaly Detection

Authors: Huimin Wang Xiao-Zhi Gao Zhuoyue Song et al.

Source: Advances in Soft Computing ISBN: 9783540880783

Access URL: https://rd.springer.com/chapter/10.1007/978-3-540-88079-0_2
https://link.springer.com/chapter/10.1007%2F978-3-540-88079-0_2

网络故障诊断研究中一种优化的否定选择算法.

Alternate Title: Optimized negative selection algorithm on research of fault diagnosis of network.

Authors: 白鹏翔 张清华 段富

Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Oct2015, Vol. 32 Issue 10, p3131-3137. 4p.

A new approach to optimized negative selection

Authors: Brian Schmidt Ala Al-Fuqaha

Source: 2016 IEEE Congress on Evolutionary Computation (CEC). :1793-1799

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Access URL: http://dblp.uni-trier.de/db/conf/cec/cec2016.html#SchmidtA16
https://ieeexplore.ieee.org/document/7744006/
https://dblp.uni-trier.de/db/conf/cec/cec2016.html#SchmidtA16

Genetic algorithm optimized artificial immune system for fault detection in flight control systems.

Authors: Kizildeniz, Merve Kiyak, Emre

Source: Aircraft Engineering & Aerospace Technology. 2025, Vol. 97 Issue 8, p977-986. 10p.

Subject Terms: *GENETIC algorithms, *FLIGHT control systems, *RESEARCH methodology, *FAULT diagnosis, *IMMUNOCOMPUTERS

Reviews & Products: MATLAB (Computer software)

Artificial Immune System–Negative Selection Classification Algorithm (NSCA) for Four Class Electroencephalogram (EEG) Signals

Authors: Nasir Rashid Javaid Iqbal Fahad Mahmood et al.

Source: Frontiers in Human Neuroscience, Vol 12 (2018)

Subject Terms: brain computer interface (BCI), artificial immune system (AIS), staked auto-encoder, mel frequency cepstral coefficients (MFCC), electroencephalogram, genetic algorithm, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fnhum.2018.00439/full; https://doaj.org/toc/1662-5161

Access URL: https://doaj.org/article/433e035a591c4734b49f7cbaebdd6409

Intrusion Detection systems using Real-Valued Negative Selection Algorithm with Optimized Detectors

Authors: Selahshoor, Fatemeh Jazayeriy, Hamid Omranpour, Hesam

Source: 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS) ; page 1-5

Availability: https://doi.org/10.1109/icspis48872.2019.9066040
http://xplorestaging.ieee.org/ielx7/9046648/9066002/09066040.pdf?arnumber=9066040

Fault Detection of Aircraft Control System Based on Negative Selection Algorithm

Authors: Jie Chen Senyao Chen Cunbao Ma et al.

Source: International Journal of Aerospace Engineering, Vol 2020 (2020)

Subject Terms: Motor vehicles. Aeronautics. Astronautics, TL1-4050

File Description: electronic resource

Relation: https://doaj.org/toc/1687-5966; https://doaj.org/toc/1687-5974

Access URL: https://doaj.org/article/c2c6d6275ba1426289a87290e6233740

Feature selection for intrusion detection based on an improved rime optimization algorithm.

Authors: Peng, Qingyuan Wang, Xiaofeng Tang, Ao

Source: Molecular & Cellular Biomechanics; 2024, Vol. 21 Issue 3, p1-20, 20p

Subject Terms: INTRUSION detection systems (Computer security), FEATURE selection, OPTIMIZATION algorithms, CLASSIFICATION, DATA structures, INTERNET security

oFVSD: a Python package of optimized forward variable selection decoder for high-dimensional neuroimaging data.

Authors: Tung Dang Fermin, Alan S. R. Machizawa, Maro G.

Source: Frontiers in Neuroinformatics; 2023, p1-14, 14p

Subject Terms: MACHINE learning, PYTHON programming language, FEATURE selection, MAGNETIC resonance imaging, SCIENTIFIC community, BRAIN imaging

A Novel Radius Adaptive Based on Center-Optimized Hybrid Detector Generation Algorithm

Authors: Jinyin Chen

Subject Terms: Artificial immunity, center optimized, hybrid detect, negative detector, negative selection algorithm (NSA), radius adaptive

Relation: IEEE/CAA Journal of Automatica Sinica; http://ir.ia.ac.cn/handle/173211/43064

Availability: http://ir.ia.ac.cn/handle/173211/43064
https://doi.org/10.1109/JAS.2018.7511192

Application of a bio-inspired anomaly detection algorithm for unsupervised SHM of a historic masonry church

Authors: Barontini, Alberto Masciotta, Maria Giovanna Ramos, Luís F. et al.

Contributors: Barontini, Alberto Masciotta, Maria Giovanna Ramos, Luís F. et al.

Subject Terms: Anomaly detection, Bio-inspired algorithm, Damage identification, Masonry structures, Negative selection

File Description: application/pdf

Availability: https://hdl.handle.net/1822/67720

Multiclass anomaly detection for unsupervised and semi-supervised data based on a combination of negative selection and clonal selection algorithms.

Authors: Kim, Yun Ji Nam, Weonwoo Lee, Jongsoo

Source: Applied Soft Computing. Jun2022, Vol. 122, pN.PAG-N.PAG. 1p.

Subject Terms: Anomaly detection (Computer security), Intrusion detection systems (Computer security), Vacuum deposition, Industrial sites, Machine learning, Signal processing, Algorithms

Optimization and Application of Real-Valued Negative Selection Algorithm

Authors: Aiqiang, Xu Yong, Liu Xiuli, Zhao et al.

Source: Procedia Engineering. Mar2012, Vol. 23, p241-246. 6p.

TOWARD EFFECTIVE BREAST CANCER DETECTION IN THERMAL IMAGES USING EFFICIENT FEATURE SELECTION ALGORITHM AND FEATURE EXTRACTION METHODS.

Authors: Moayedi, Seyedeh Maryam Zareh Rezai, Abdalhossein Hamidpour, Seyedeh Shahrbanoo Fallaheye

Source: Biomedical Engineering: Applications, Basis & Communications; Apr2024, Vol. 36 Issue 2, p1-10, 10p

Subject Terms: FEATURE selection, DEEP learning, THERMOGRAPHY, FEATURE extraction, ARTIFICIAL neural networks, EARLY detection of cancer, BREAST cancer

A Network Intrusion Detection Model Based on GA-Improved NSA.

Authors: Long Li¹ longforpaper@163.com

Source: Journal of Computing & Information Technology. Jun2023, Vol. 31 Issue 2, p91-106. 16p.

Subject Terms: Architectural details, Computer network security, Genetic algorithms, Genetic models, Social networks, Architectural design, Detectors

Enhancing Medical Image Classification with an Advanced Feature Selection Algorithm: A Novel Approach to Improving the Cuckoo Search Algorithm by Incorporating Caputo Fractional Order.

Authors: Habeb, Abduljlil Abduljlil Ali Abduljlil Taresh, Mundher Mohammed Li, Jintang et al.

Source: Diagnostics (2075-4418); Jun2024, Vol. 14 Issue 11, p1191, 15p

Subject Terms: IMAGE recognition (Computer vision), FEATURE selection, SEARCH algorithms, MEDICAL coding, ALGORITHMS

Reviews & Products: BIBLE. Matthew

A novel negative selection algorithm with hyper-rectangle detectors based on full coverage of state space for anomaly detection.

Authors: Gu, Ming Li, Dong Gong, Lanlan et al.

Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 1, p719-730, 12p

Subject Terms: DETECTORS, MACHINE learning, RECTANGLES, ALGORITHMS, BREAST cancer

Geographic Terms: WISCONSIN

A Network Intrusion Detection Model Based on GA-Improved NSA

Authors: Li, Long

Source: Journal of computing and information technology ; ISSN 1846-3908 (Online) ; ISSN 1330-1136 (Print) ; ISSN-L 1330-1136 ; CODEN CJCTEM ; Volume 31 ; Issue 2

Subject Terms: Negative selection algorithm, Genetic algorithm, Network intrusion, Detection, LeNet-5

File Description: application/pdf

Relation: https://doi.org/10.20532/cit.2023.1005737; https://hrcak.srce.hr/314965

Availability: https://doi.org/10.20532/cit.2023.1005737
https://hrcak.srce.hr/314965
https://hrcak.srce.hr/file/455144

A new approach to optimized negative selection.

Authors: Schmidt, Brian Al-Fuqaha, Ala

Source: 2016 IEEE Congress on Evolutionary Computation (CEC); 2016, p1793-1799, 7p