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Multiresolution dendritic cell algorithm for network anomaly detection

David Limon-Cantu, Vicente Alarcon-Aquino
2021 PeerJ Computer Science  
The proposed model was inspired by the behavior of dendritic cells and their interactions with the human immune system, known as Dendritic Cell Algorithm (DCA), and combines the use of Multiresolution  ...  Comparisons with the DCA and state-of-the-art approaches for network anomaly detection are presented.  ...  The Dendritic Cell Algorithm (DCA) is a population-based binary classifier designed for anomaly detection.  ... 
doi:10.7717/peerj-cs.749 pmid:34805504 pmcid:PMC8576553 fatcat:v7h64sld7zbedeu4nro3h5nhgy

Improving accuracy of immune-inspired malware detectors by using intelligent features

M. Zubair Shafiq, Syed Ali Khayam, Muddassar Farooq
2008 Proceedings of the 10th annual conference on Genetic and evolutionary computation - GECCO '08  
Cell Algorithm (DCA) based on the innate immune system; and (3) Adaptive Neuro Fuzzy Inference System (ANFIS).  ...  We propose a novel set of intelligent features for the well-known problem of malware portscan detection.  ...  Artificial Immune System utilizing Dendritic Cell Algorithm Dendritic Cells (DC) are the biological cells whose functionality is the part of the innate immune system.  ... 
doi:10.1145/1389095.1389112 dblp:conf/gecco/ShafiqKF08 fatcat:eowaxonfxrbxdl3i3zdufinota

Review of Artificial Intelligence-Based Failure Detection and Diagnosis Methods for Solar Photovoltaic Systems

Ahmad Abubakar, Carlos Frederico Meschini Almeida, Matheus Gemignani
2021 Machines  
This study presents an extensive review of AI-based methods for fault detection and diagnosis in PV systems.  ...  It explores various fault types that are common in PV systems and various AI-based fault detection and diagnosis techniques proposed in the literature.  ...  The energy loss fault detection system uses a neural network model to compare the sum of power loss over a lengthy period of time.  ... 
doi:10.3390/machines9120328 fatcat:sc3gchqd5na45oew2kupuznwke

A Guided Tour of Selected Image Processing and Analysis Methods for Fluorescence and Electron Microscopy

Charles Kervrann, Carlos Oscar Sanchez Sorzano, Scott T. Acton, Jean-Christophe Olivo-Marin, Michael Unser
2016 IEEE Journal on Selected Topics in Signal Processing  
typical studies in cell imaging.  ...  In this paper, we present recent advances in fluorescence and electron microscopy and we focus on dedicated image processing and analysis methods required to quantify phenotypes for a limited number but  ...  Mukherjee (University of Virginia) for their contributions and assistance.  ... 
doi:10.1109/jstsp.2015.2505402 fatcat:fgbrxtuhsfbobluogllqll6q2e

Review of medical diagnostics via data mining techniques

Suhad Faisal, Sarah Sameer, Iyden Kamil Mohammed, Mustafa S Abd
2021 Iraqi Journal of Science  
Health analytics frequently uses computational methods for data mining, such as clustering, classification, and regression.  ...  Indeed, there are two different branches in the neuronal cell body that contains the nucleus, the axon and the dendrites. The dendrites receive incoming signals or impulses of other neurons.  ...  Anomaly Detection The data mining technique of this type involves the identification of data items in the dataset that do not correspond to anticipated behavior or pattern.  ... 
doi:10.24996/ijs.2021.62.7.30 fatcat:3epgsasibjao7icxs3sigtiixy

Automatic macular edema identification and characterization using OCT images

Gabriela Samagaio, Aída Estévez, Joaquim de Moura, Jorge Novo, María Isabel Fernández, Marcos Ortega
2018 Computer Methods and Programs in Biomedicine  
The detection and characterization of the intraretinal fluid accumulation constitutes a crucial ophthalmological issue as it provides useful information for the identification and diagnosis of the different  ...  Therefore, the proposed project aims to develop an automatic system capable of detecting and characterizing these three types of ME using OCT images.  ...  apps for image processing, analysis, visualization, and algorithm development; lyze, and model data; -Neural Network Toolbox (for Deep Learning) -Performance of neural networks topologies, and autoencoders  ... 
doi:10.1016/j.cmpb.2018.05.033 pmid:30119857 fatcat:aqvrmoq2wnbxvfyo6ltix5kmtm

4 Optical Coherence Tomography Angiography [chapter]

Justis P. Ehlers, Thuy K. Le
2020 The Retina Illustrated  
These factors lead to a steep learning curve, even for those with a working understanding dye-based ocular angiography. All for a method of imaging that is a little more than 10 years old.  ...  Its use is rapidly expanding in clinical practice as well as for research into the pathophysiology of diseases of the posterior pole.  ...  The distribution of capillary networks within the retina is correlated with the metabolic demands of soma, dendrites and neuronal layers (Kiryu et al., 1995; Yu and Cringle, 2001).  ... 
doi:10.1055/b-0040-174189 fatcat:gslhnt5p5vgqvdm5hxncfkw2ee

Engineering, Technology & Applied Science Research (ETASR), Vol. 11, No. 2, pp. 6845-7068 [article]

Various
2021 Zenodo  
The table of contents for this issue can be found at: https://etasr.com/index.php/ETASR/issue/view/68. For more info visit the journal's site at: www.etasr.com.  ...  Engineering, Technology & Applied Science Research (ETASR) is an international bimonthly wide scope, peer-reviewed open access journal for the publication of original articles concerned with diverse aspects  ...  ACKNOWLEDGMENT The authors are grateful to the Institute for Research and Development, Suan Sunandha Rajabhat University and the Faculty of Science at Ubon Ratchathani University, for supporting this research  ... 
doi:10.5281/zenodo.4720665 fatcat:mk2prflstjaa3bhkjenwy22s6u

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
We also characterize the correlation introduced by noise events in the EMCCD by correlating the detected events for consecutive frames.  ...  for providing the Radarsat-2, TerraSAR-X and weather data respectively.  ...  Previous examples include pixel classification and anomaly detection in hyperspectral images.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve

2501

Magda Shaheen, Senait Teklehaimanot
2017 Journal of Clinical and Translational Science  
METHODS/STUDY POPULATION: Analysis of data for adult≥20 years old from the NHANES 2006–2012. Depression was assessed using the 9-item PHQ.  ...  For the use of antidepressant drug among the depressed group, AA, Hispanics, uninsured and foreign born were less likely to use antidepressant drug relative to other groups [OR=0.26 (95% CI=0.20–0.33),  ...  Nutrition Science and Clinical Directors Network (CDN).  ... 
doi:10.1017/cts.2017.287 fatcat:yp5uxjopfzhuzovziwsbbhl2au

Segmentation of neuroanatomy in magnetic resonance images

Andrew Simmons, Simon R. Arridge, G. J. Barker, Paul S. Tofts, Murray H. Loew
1992 Medical Imaging VI: Image Processing  
The nervous system consists of a vast number of units called neurones which consist of a cell body, axons and dendrites. Neurones are commonly referred to simply as nerves.  ...  [BRUMMER91] present an algorithm for detection of brain contours in single echo multi-slice coronal datasets consisting of two major steps -head contour detection and brain contour detection.  ... 
doi:10.1117/12.59406 fatcat:rbchl46uffcj5cysrho2pr2ewy

Modeling & Analysis

2003 NeuroImage  
Abstract A new neural network algorithm has been developed for the automatic visual segmentation of T1-weighted 3-D head magnetic resonance images.  ...  We have applied the algorithm to several MRI Data Sets. Despite the diversity of the images the neural network shows good robustness.  ...  Those studies have shown large populations of cells modulated in a phasic-tonic manner.  ... 
doi:10.1016/s1053-8119(05)70006-9 fatcat:zff2suxcofbxvetfrwfwcxi3zm

Predicting room acoustical behavior with the ODEON computer model

Graham Naylor, Jens Holger Rindel
1992 Journal of the Acoustical Society of America  
The tonal MLD was obtained for the detection of a •OO-Hz tone masked by a 100-Hz wide band of noise centered at 500 Hz.  ...  A new design algorithm is proposed that is based on a logarithmic distortion metric and it is shown how this algorithm can be used to obtain minimum phase, low-order pole-zero approximations to HRTFs.  ...  This is an improved multiresolution pyramid algorithm. The equivalence between multiresolution approximations and wavelet basis is used to derive wavelet bases.  ... 
doi:10.1121/1.404931 fatcat:z4hbezklfzgu7hyy7qvos3wyo4

Treatment of early and late reflections in a hybrid computer model for room acoustics

Graham Naylor
1992 Journal of the Acoustical Society of America  
The tonal MLD was obtained for the detection of a •OO-Hz tone masked by a 100-Hz wide band of noise centered at 500 Hz.  ...  A new design algorithm is proposed that is based on a logarithmic distortion metric and it is shown how this algorithm can be used to obtain minimum phase, low-order pole-zero approximations to HRTFs.  ...  This is an improved multiresolution pyramid algorithm. The equivalence between multiresolution approximations and wavelet basis is used to derive wavelet bases.  ... 
doi:10.1121/1.404930 fatcat:xeehcxepjvhuzmnaeudpqxtnvu

Modeling and experiments with low‐frequency pressure wave propagation in liquid‐filled, flexible tubes

Cato Bjelland, Leif Bjo/rno/
1992 Journal of the Acoustical Society of America  
The tonal MLD was obtained for the detection of a •OO-Hz tone masked by a 100-Hz wide band of noise centered at 500 Hz.  ...  A new design algorithm is proposed that is based on a logarithmic distortion metric and it is shown how this algorithm can be used to obtain minimum phase, low-order pole-zero approximations to HRTFs.  ...  This is an improved multiresolution pyramid algorithm. The equivalence between multiresolution approximations and wavelet basis is used to derive wavelet bases.  ... 
doi:10.1121/1.404777 fatcat:xhmwz65h5bbqxbt52khae2rq7q
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