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User-Assisted Management of Agent-Based Evolutionary Computation [chapter]

Aleksander Byrski, Marek Kisiel-Dorohinicki
2008 Lecture Notes in Computer Science  
These general considerations are supported by the case of evolutionary multi-agent system (EMAS) with immunological selection, applied to multi-modal function optimization subjected to a user-driven tuning  ...  In the paper the need and general idea of user-assisted management of computational intelligence systems is discussed.  ...  Conclusion In the paper problems of configuring computational intelligence systems were discussed, with particular attention paid to agent-based systems.  ... 
doi:10.1007/978-3-540-69389-5_73 fatcat:gnzsuyhbhvcyjcd3yykwubhgpy

GRID Computing and Computational Immunology [chapter]

Ferdinando Chiacchio, Francesco Pappalardo
2011 Computational Biology and Applied Bioinformatics  
Computational Immunology www.intechopen.com with λ =(λ j 1 ,...  ...  Computational Immunology  ...  GRID Computing and Computational Immunology, Computational Biology and Applied Bioinformatics, Prof.  ... 
doi:10.5772/24350 fatcat:zjvgpmkdr5fehcudt3qzrpiwwm

IMMUNOLOGY-BASED MOTION CONTROL FOR MODULAR HYPER-REDUNDANT MANIPULATORS

H.Y.K. Lau, A.K.S. Ng
2005 IFAC Proceedings Volumes  
Modular robot usually implemented with simplified mathematical model to cope with the scenario of limited computation power and memory.  ...  Artificial Immune System (AIS) has recently been actively researched with a number of emerging engineering applications that has capitalized from its characteristics including self-organization, distributive  ...  Modular robot usually implemented with simplified kinematics model to cope with the scenario of limited computation power and memory.  ... 
doi:10.3182/20050703-6-cz-1902.01297 fatcat:ytzi37taw5eofbg7rloacjcdxy

A Scaled, Immunological Approach to Anomaly Countermeasures [chapter]

Kyrre M. Begnum, Mark Burgess
2003 Integrated Network Management VIII  
We discuss the combination of two anomaly detection models, the Linux kernel module pH and cfengine, in order to create a multi-scaled approach to computer anomaly detection with automated response.  ...  By examining the time-average data from pH, we find the two systems to be conceptually complementary and to have compatible data models.  ...  It concerns prescriptions for recognition of change with computer systems.  ... 
doi:10.1007/978-0-387-35674-7_3 fatcat:q572lupwpzc37jghf3xgctjsqi

Vaccine protocols optimization: In silico experiences

Francesco Pappalardo, Marzio Pennisi, Filippo Castiglione, Santo Motta
2010 Biotechnology Advances  
Vaccines represent a special class of drugs, capable of stimulating immune system responses against pathogens and tumors.  ...  In this article, we focus on the difficult problem of the search for an optimal vaccination dosage in the field of tumor immunology, that is a major issue in biomedical research.  ...  Computing resources were provided by Consorzio COMETA.  ... 
doi:10.1016/j.biotechadv.2009.10.001 pmid:19833190 fatcat:6of44cckene4zblqpabhen2j3i

Computational and Bioinformatics Techniques for Immunology

Francesco Pappalardo, Vladimir Brusic, Filippo Castiglione, Christian Schönbach
2014 BioMed Research International  
Computational immunology and immunological bioinformatics are well-established and rapidly evolving research fields.  ...  Exploring the connections between classical mathematical modeling (at different scales) and bioinformatics predictions of omic scope along with specific aspects of the immune system in combination with  ...  Computational immunology and immunological bioinformatics are well-established and rapidly evolving research fields.  ... 
doi:10.1155/2014/263189 pmid:25610859 pmcid:PMC4295581 fatcat:dekj7qwmmfbwzmpfejzdll5qce

Products & Materials

1989 Science  
The ICAP 61E spectrometer offers a higher degree of automation than any other direct-reading spectrometer, with an IBM Personal System/2 Model 50Z computer controlling the entire operation.  ...  With full computer control, the analytical conditions are consistent from one operator to another. Thermo Jarrell Ash. Circle 552.  ... 
doi:10.1126/science.245.4921.996 pmid:17780544 fatcat:zzphfsvvbzhupmg5jmfp5llf2e

Aircraft Failure Detection and Identification Using an Immunological Hierarchical Multiself Strategy

Hever Moncayo, Mario G. Perhinschi, Jennifer Davis
2010 Journal of Guidance Control and Dynamics  
Corresponding detectors were MONCAYO, PERHINSCHI, AND DAVIS Motion Base Computer - Systems 4 activated Visual Cues ee ke Other Systems Aircraft States and Their Derivatives External Computer ‘ Simulator  ...  ., “An Immunological Approach to Change Detection: Algorithms, Analysis and Implications,’ JEEE Symposium on Security and Privacy, YEEE Computer Society, Washington, D.C., 1996, pp. 110-119.  ... 
doi:10.2514/1.47445 fatcat:gisqpc6jxjawffmecagjvh7oie

Implementation of Immunological Algorithms in Solving Optimization Problems

2014 Acta Polytechnica Hungarica  
This paper gives a global review of artificial immune systems in computer science and their implementation.  ...  The performance of the immunological algorithm in solving optimization problems is analysed using the Optimization Algorithm Toolkit, with emphasis on determining the impact of parameter values.  ...  Other Implementation Areas  Computational immunology  Data and Web mining One of the applications of the AIS lies in computer immunology and the areas of bio-informatics and immuno-informatics, where  ... 
doi:10.12700/aph.25.04.2014.04.15 fatcat:y5wlr2awefgcthbp6kc25ufczy

Page 2386 of Mathematical Reviews Vol. , Issue 89D [page]

1989 Mathematical Reviews  
Extensive computer simulations agree well with the results.  ...  B. (1-GA-K) Topological aspects of immunological! control networks. Math. Comput. Modelling 10 (1988), no. 6, 451-461.  ... 

MIFlowCyt: The minimum information about a flow cytometry experiment

Jamie A. Lee, Josef Spidlen, Keith Boyce, Jennifer Cai, Nicholas Crosbie, Mark Dalphin, Jeff Furlong, Maura Gasparetto, Michael Goldberg, Elizabeth M. Goralczyk, Bill Hyun, Kirstin Jansen (+22 others)
2008 Cytometry Part A  
Like the microarray field, the ability to collect FCM data is outpacing the computational means for data handling and analysis.  ...  The MIFlowCyt standard includes recommendations about descriptions of the specimens and reagents included in the FCM experiment, the configuration of the instrument used to perform the assays, and the  ...  of Allergy, Immunology, and Transplantation within the National Institute of Allergy and Infectious Diseases for their support and contribution to this effort.  ... 
doi:10.1002/cyto.a.20623 pmid:18752282 pmcid:PMC2773297 fatcat:7gr2lpb2grdzjlytyxqokfrkau

Vector Evaluated and Objective Switching Approaches of Artificial Bee Colony Algorithm (ABC) for Multi-Objective Design Optimization of Composite Plate Structures

S. N. Omkar, G. Narayana Naik, Kiran Patil, Mrunmaya Mudigere
2011 International Journal of Applied Metaheuristic Computing  
The design optimization is carried for both variable stacking sequences as well as standard stacking schemes and a comparative study of the different design configurations evolved is presented.  ...  Performance of Artificial Bee Colony (ABC) is compared with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) for both VEDO and OSDO approaches.  ...  and their evolution, immunology and observed immune functions.  ... 
doi:10.4018/jamc.2011070101 fatcat:5xccw5p6cndgxkbtyqmtugjrtm

A supervisory loop to remedy actuator saturation: Immune approach

Maryam Rashtian, Ghazanfar Shahgholian, Pegah Shafaghi, Mohammad Farahmand
2010 2010 2nd International Conference on Electronic Computer Technology  
As you will see immune supervisor has better result in compare with fuzzy model.  ...  Keywords -supervisory loop; flexible joint robots (FJR); artificial immune systems; immune feedback principle.  ...  The biological immune system has various features such as immunological memory, immunological tolerance, pattern recognition, and so on.  ... 
doi:10.1109/icectech.2010.5480000 fatcat:wiw5ifx2r5h2xdua3667cofnda

Dissecting Response to Cancer Immunotherapy by Applying Bayesian Network Analysis to Flow Cytometry Data [article]

Andrei S Rodin, Grigoriy Gogoshin, Lei Wang, Colt Egelston, Russell C Rockne, Joseph Chao, Peter P Lee
2020 bioRxiv   pre-print
We developed a novel computational pipeline to perform secondary analyses of FACS data using systems biology / machine learning / information-theoretic techniques and concepts, primarily based on Bayesian  ...  Consequently, elucidating immune system-related pre-treatment biomarkers that are predictive with respect to sustained clinical response is a major research priority.  ...  with respect to the clinical response variable.  ... 
doi:10.1101/2020.06.14.151100 fatcat:krwmxipkbzh5xjhqse6y5j5xiu

Complexity in the immune system: New opportunities for chemical engineering research

Michael W. Deem
2004 AIChE Journal  
This Perspective shows how methods from statistical mechanics and computer simulation can be used to construct quantitative models of limitations in the immune system.  ...  Executive Summary O ne may imagine that an analysis of the immune system would be immune from chemical engineering analysis.  ...  Evolution of diversity within the immune system is analogous to evolution of configuration space density that occurs in Monte Carlo computer simulation, in which the true strengths of chemical engineering  ... 
doi:10.1002/aic.10068 fatcat:37mgmljprjh5fdosml7rjdtvb4
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