nabil emad (60 Ergebnisse)

Paperback. Zustand: Very Good. 2017 British Archaeological Reports large format paperback edition. Unread copy in very good condition. Contributing Authors: Alireza Askari Chaverdi, Pierfrancesco Callieri, Babak Aminpour, Sebastien Gondet, Kourosh Mohammadkhani, Alan Mercuriali, Mousa Zare, Elisa Iori, Ali Asadi, Marco Galuppi, Abazar Shobeiri, Luca Colliva, Hamid Karami, Nabil Ibnoerrida, Martina Battisti, Somayeh Khoshbakht, Emad Matin, Davide M. Meucci, Filippo Terrasi, Isabella Passariello, Fabio Marzaioli, Manuela Capano.

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Taschenbuch. Zustand: Neu. Hybrid Artificial Immune System | Applications on Breast Cancer Diagnosis and Pattern Recognition | Emad Nabil (u. a.) | Taschenbuch | 120 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659797729 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Zustand: Neu. Immuno-informatique | Une nouvelle technique pour la prédiction des épitopes MHC de classe II | Emad Nabil (u. a.) | Taschenbuch | Französisch | 2026 | Editions Notre Savoir | EAN 9786209595493 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

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Taschenbuch. Zustand: Neu. Imunoinformática | Uma nova técnica para a previsão de epítopos MHC Classe II | Emad Nabil (u. a.) | Taschenbuch | Portugiesisch | 2026 | Edições Nosso Conhecimento | EAN 9786209503344 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Immunoinformatica | Una nuova tecnica per la previsione dell'epitopo MHC di classe II | Emad Nabil (u. a.) | Taschenbuch | Italienisch | 2026 | Edizioni Sapienza | EAN 9786209598050 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Immunoinformatyka | Nowa technika przewidywania epitopów MHC klasy II | Emad Nabil (u. a.) | Taschenbuch | Polnisch | 2026 | Wydawnictwo Nasza Wiedza | EAN 9786209500787 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Immuninformatik | Eine neue Technik zur Vorhersage von MHC-Klasse-II-Epitopen | Emad Nabil (u. a.) | Taschenbuch | 112 S. | Deutsch | 2026 | Verlag Unser Wissen | EAN 9786209590375 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The study of artificial immune systems is a relatively new field that tries to exploit the mechanisms of the natural immune system (NIS) in order to develop problem-solving techniques. In this book, we have combined the artificial immune system with the genetic algorithms in one hybrid algorithm. The hybrid algorithm used for evolving a fuzzy rule system to solve the well known Wisconsin Breast Cancer Diagnosis problem (WBCD). The hybrid algorithm overcomes both the GAs and the AIS, so that it reached the classification ratio 97.36, by only one rule, in the earlier generations than the two other algorithms. The learning and memory acquisition of the hybrid algorithm was verified through its application to a binary character recognition problem, the hybrid algorithm overcomes also both GAs and AIS and reached the convergence point before them. 120 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nabil EmadEmad Nabil and Amr Badr work in the Department of Computer Science, Faculty of Computers and Information, Cairo University, Egypt. Mostafa Abdelazim works in the College of Computing and Information Technology, Arab Academy.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hassan KhaledKhaled Hassan is PhD student at Faculty of Computers & Information Cairo University. My research is concerned with bioinformatics and machine learning. I am interested in designing, developing, and applying machine learn.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Membrane Computing (P Systems) is an emergent and promising branch of Natural Computing. Designing P Systems is a heavy difficult problem. Until now there is no tool exists that can help in designing of P systems. This book shows how to use clonal selection algorithm with adaptive mutation in the design of P systems. In Addition the book proposes a Membrane-Immune algorithm that is inspired from the structure of living cells and the vertebrate immune system. The algorithm is tested by solving the Multiple Zero/One Knapsack Problem. The Membrane-Immune algorithm surpassed two variants of genetic algorithms that solved the same problem. The Membrane-Immune algorithm is also applied to generate a fuzzy rule based system to be used in breast cancer diagnosis. Generating a fuzzy rule system composes an exponential search space, which leads to the area of NP-complete problems. The algorithm is compared with five techniques and surpassed them. Last chapter presents a proposal of P Systems implementation using Cloud Computing. The proposed Implementation is illustrated by solving SAT problem. 172 pp. Englisch.

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Nabil EmadDr. Emad Nabil works in the department of Computer Science, Faculty of Computers and Information, Cairo University. His research interests are Bio-Inspired Algorithms, P systems, Optimization and Bioinformatics. He prepared.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The study of artificial immune systems is a relatively new field that tries to exploit the mechanisms of the natural immune system (NIS) in order to develop problem-solving techniques. In this book, we have combined the artificial immune system with the genetic algorithms in one hybrid algorithm. The hybrid algorithm used for evolving a fuzzy rule system to solve the well known Wisconsin Breast Cancer Diagnosis problem (WBCD). The hybrid algorithm overcomes both the GAs and the AIS, so that it reached the classification ratio 97.36, by only one rule, in the earlier generations than the two other algorithms. The learning and memory acquisition of the hybrid algorithm was verified through its application to a binary character recognition problem, the hybrid algorithm overcomes also both GAs and AIS and reached the convergence point before them.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The study of artificial immune systems is a relatively new field that tries to exploit the mechanisms of the natural immune system (NIS) in order to develop problem-solving techniques. In this book, we have combined the artificial immune system with the genetic algorithms in one hybrid algorithm. The hybrid algorithm used for evolving a fuzzy rule system to solve the well known Wisconsin Breast Cancer Diagnosis problem (WBCD). The hybrid algorithm overcomes both the GAs and the AIS, so that it reached the classification ratio 97.36, by only one rule, in the earlier generations than the two other algorithms. The learning and memory acquisition of the hybrid algorithm was verified through its application to a binary character recognition problem, the hybrid algorithm overcomes also both GAs and AIS and reached the convergence point before them.

Zustand: New. Print on Demand pp. 172 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -La identificación de los péptidos de unión al complejo mayor de histocompatibilidad (MHC) es un paso importante en la selección de candidatos a epítopos de células T adecuados para su uso en nuevas vacunas. La ranura de unión de la molécula MHC de clase II está abierta por ambos lados, lo que permite una gran variabilidad en la longitud de los péptidos que se unen a esta molécula y, en consecuencia, complica la predicción del motivo central de unión. Un enfoque computacional preciso y eficiente para la predicción de dichos péptidos puede reducir considerablemente el tiempo y el coste necesarios para el diseño de nuevas vacunas. EpiGASVM, un nuevo enfoque para la predicción in silico de epítopos del MHC de clase II, se desarrolló combinando algoritmos genéticos y máquinas de vectores de soporte. Se aplicaron nueve variaciones de EpiGASVM a dos conjuntos de datos de referencia con similitud reducida. La precisión de la predicción y el área bajo la curva característica operativa del receptor se calcularon como medidas de rendimiento. La técnica se compara con algunas técnicas de vanguardia en este ámbito (por ejemplo, ARB, SMM-Align, PROPRED, NN-Align). Los resultados muestran que EpiGASVM es una nueva técnica prometedora para la solución del problema de la predicción de epítopos MHC de clase II. 108 pp. Spanisch.

Zustand: New. PRINT ON DEMAND pp. 172.

Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Membrane Computing (P Systems) is an emergent and promising branch of Natural Computing. Designing P Systems is a heavy difficult problem. Until now there is no tool exists that can help in designing of P systems. This book shows how to use clonal selection algorithm with adaptive mutation in the design of P systems. In Addition the book proposes a Membrane-Immune algorithm that is inspired from the structure of living cells and the vertebrate immune system. The algorithm is tested by solving the Multiple Zero/One Knapsack Problem. The Membrane-Immune algorithm surpassed two variants of genetic algorithms that solved the same problem. The Membrane-Immune algorithm is also applied to generate a fuzzy rule based system to be used in breast cancer diagnosis. Generating a fuzzy rule system composes an exponential search space, which leads to the area of NP-complete problems. The algorithm is compared with five techniques and surpassed them. Last chapter presents a proposal of P Systems implementation using Cloud Computing. The proposed Implementation is illustrated by solving SAT problem.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 172 pp. Englisch.