Artificial immune recognition system


Artificial immune recognition system (AIRS): Revisions and refinements
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This paper revisits the Artificial Immmune Recognition System (AIRS) that has been developed as an immuneinspired supervised learning algorithm. Certain unnecessary complications of the original algorithm are discussed and means of overcomming these

Artificial immune recognition system (airs)-a review and analysis
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The natural immune system is a robust and powerful information process system that demonstrates features such as distributed control, parallel processing and adaptation or learning via experience. Artificial Immune Systems (AIS) are machine-learning algorithms

Artificial immune system classification of druginduced torsade de pointes with AIRS ( artificial immune recognition system )
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Artificial immune systems (AIS) represent a family of machine learning algorithms that use immune system components and mechanisms as templates in modeling information processes, such as pattern recognition and classification. This paper demonstrates the first

Artificial immune systems in drug design: Recognition of p-glycoprotein substrates with airs ( artificial immune recognition system )
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Artificial immune systems (AIS) represent a new class of machine learning procedures that simulate several mechanisms and functions of the biological immune system such as pattern recognition learning, memory, and optimization. In this paper we present the first

Artificial immune system prediction of the human intestinal absorption of drugs with AIRS ( artificial immune recognition system )
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Artificial immune systems (AIS) are machine learning procedures inspired by the structure and function of the biological immune system . In this paper we present the first application of the artificial immune recognition system (AIRS) to the modeling of the human intestinal Tuberculosis is a major global health problem that has been ranked as the second leading cause of death from an infectious disease worldwide, after the human immunodeficiency virus. Diagnosis based on cultured specimens is the reference standard; however, results

Intelligent detection system to diagnose of cirrhosis disease: combining generalized discriminant analysis and artificial immune recognition system
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In this paper, we have proposed a new automated detection system based on Generalized Discriminant Analysis (GDA) and Artificial Immune Recognition System (AIRS) to diagnose the portal vein Doppler signals belong to the patients with cirrhosis and healthy subjects

An Artificial Immune Recognition Systembased Approach to Software Engineering Management: with Software Metrics Selection.
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Abstract Artificial Immune Systems (AIS) are emerging machine learners, which embody the principles of natural immune systems for tackling complex real-world problems. The Artificial Immune Recognition System (AIRS) is a new kind of supervised learning AIS. Improving the In order to improve the resource allocation mechanism of artificial immune recognition system (AIRS) and decrease the memory cells, a fuzzy logic resource allocation and memory cell pruning based AIRS (FPAIRS) is proposed. In FPAIRS, the fuzzy logic is

Utilisation of exponential-based resource allocation and competition in artificial Immune recognition system
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Page 1. UNIVERSITI PUTRA MALAYSIA UTILISATION OF EXPONENTIAL-BASED RESOURCE ALLOCATION AND COMPETITION IN ARTIFICIAL IMMUNE RECOGNITION SYSTEM SHAHRAM GOLZARI HORMOZI FSKTM 2011 3 Page 2. UTILISATION OF

Application of artificial immune recognition system for identification of advertisement video frames using BICC features
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Objectives: In this present study, there are various methods and techniques that are reviewed to dig the hidden information from the video frames to process the live stream Television (TV) videos. Video classification is an emerging trend that is intended to classify

Enhanced Massive Training Artificial Immune Recognition System for False Positives Reduction in Lung Nodules Classification.
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Abstract Massive Training Artificial Immune Recognition System (MTAIRS) had been implemented in the computerized system to classify lung nodules on Computed Tomography (CT) scans. In this algorithm, large training sub-regions are trained, and the

IDENTIFYING PREDICTIVE GENES FOR SEQUENCE CLASSIFICATION USING ARTIFICIAL IMMUNE RECOGNITION SYSTEM
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The small sample data in the high-dimensional data space are encountered in biological applications such as in gene expression microarrays and proteomics mass spectrometry. Due to the fact that such data have characteristics such as high-dimensionality and small

An overview of artificial immune system in pattern recognition
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ABSTRACT A miracle of our body, an Immune System (IS) prevents the enemy cells, such as bacteria or viruses, from entering the body. This biological IS has intelligent capabilities of detecting or recognizing self/non-self antigen in the body. Artificial Immune Systems (AIS) is In this paper, we introduce the application of transformation pattern recognition based on a complex artificial immune system . The key feature of the complex artificial immune system is the introduction of complex data representation. We use complex numbers as the data

FINDING FAULTS OF SOFTWARE METRICS FOR AN ARTIFICIAL IMMUNE RECOGNITION SYSTEM
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Software is an integral part of many critical and non-critical applications, and virtually any industry is dependent on computers for their basic functioning. Techniques to measure and ensure reliability of hardware have seen rapid advances, leaving Software as the bottleneck

An adaptive-distance artificial immune recognition system
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The artificial Immune Recognition System (AIRS) algorithm inspired by a natural immune system makes use of the training data to generate memory cells (or prototypes). These memory cells are used in the test phase to classify unseen data using the K-nearest

Offline Handwritten Signature Verification method based on Artificial Immune Recognition System and Artificial Neural Network
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Natural immune system offers several fascinating options that motivated the planning of Artificial Immune Systems (AIS) accustomed solve varied issues of engineering and AI. AIS are significantly thriving in fault detection and diagnosing applications where anomalies like

Massive Training Artificial Immune Recognition System for Lung Nodules Detection
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In the early detection and diagnosis of lung nodule, computer aided detection (CAD) has become crucial to assist radiologists in interpreting medical images and decision making. However, some limitations have been found in the existing CAD algorithms for detecting

Mental task recognition by NN with artificial immune system
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