Chapter 1. A New Hybrid Binary Algorithm of Bat Algorithm and Differential Evolution for Feature Selection and Classification.- Chapter 2. Multi-objective Optimization of Engineering Design Problems through Pareto-Based Bat Algorithm.- Chapter 3. A Study on the Bat Algorithm Technique To Evaluate The Skin Melanoma Images.- Chapter 4. Multi-Thresholding with Kapur's Entropy - A Study Using Bat Algorithm with Different Search Operators.- Chapter 5. Application of BAT Inspired Computing Algorithm and Its Variants In Search of Near Optimal Golomb Rulers For WDM Systems: A Comparative Study.- Chapter 6. Levy Flight Opposition Embed Bat Algorithm for Model Order Reduction.- Chapter 7. Application of BAT Algorithm for Detecting Malignant Brain Tumors.- Chapter 8. Bat Algorithm with Applications to Signal, speech and Image Processing- A Review.- Chapter 9. Bat Algorithm Aided System to Extract Tumor in Flair/T2 Modality Brain MRI Slices.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Nilanjan Dey is an Assistant Professor at the Department of Information Technology, Techno International New Town (formerly Techno India College of Technology), Kolkata, India. He is also a Visiting Fellow of the University of Reading, UK and a Visiting Professor at Duy Tan University, Vietnam. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). Holding a Ph.D. from Jadavpur University (2015), he is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global. He is also the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature); Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier); and Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and Data Analysis (CRC). He has authored/edited more than 50 books with Springer, Elsevier, Wiley and CRC Press and published more than 300 peer-reviewed research papers. His main research interests include medical imaging, machine learning, computer-aided diagnosis, and data mining. He is the Indian Ambassador of the International Federation for Information Processing (IFIP) - Young ICT Group.
Venkatesan Rajinikanth is a Professor at the Department of Electronics and Instrumentation Engineering, St. Joseph's College of Engineering, Chennai, India. Recently, he edited a book titled Advances in Artificial Intelligence Systems with Nova Science Publisher, USA. He is an Associate Editor for the International Journal of Rough Sets and Data Analysis. Having published more than 75 papers, his main research interests include medical imaging, machine learning and computer-aided diagnosis, as well as data mining.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur ZBSFRMTZON
Quantité disponible : Plus de 20 disponibles
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9789811550966_new
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA's mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe. 184 pp. Englisch. N° de réf. du vendeur 9789811550966
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses solutions to complicated optimization problems in several real-world applications Highlights essential concepts in connection with the traditional bat algorithm and its variants Serves as a reference guide . N° de réf. du vendeur 362613526
Quantité disponible : Plus de 20 disponibles
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26377367854
Quantité disponible : 4 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA¿s mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch. N° de réf. du vendeur 9789811550966
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book highlights essential concepts in connection with the traditional bat algorithm and its recent variants, as well as its application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic algorithms are extensively being used to address a wide range of real-world optimization problems due to their adaptability and robustness. Developed in 2009, the bat algorithm (BA) is one of the most successful swarm intelligence procedures, and has been used to tackle optimization tasks for more than a decade. The BA's mathematical model is quite straightforward and easy to understand and enhance, compared to other swarm approaches. Hence, it has attracted the attention of researchers who are working to find optimal solutions in a diverse range of domains, such as N-dimensional numerical optimization, constrained/unconstrained optimization and linear/nonlinear optimization problems. Along with the traditional BA, its enhanced versions are now also being used to solve optimization problems in science, engineering and medical applications around the globe. N° de réf. du vendeur 9789811550966
Quantité disponible : 1 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 369726193
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18377367844
Quantité disponible : 4 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 184 pages. 9.25x6.10x9.21 inches. In Stock. N° de réf. du vendeur x-9811550964
Quantité disponible : 2 disponible(s)