Sandip dey (12 Ergebnisse)

paperback. Zustand: Very Good.

Zustand: New.

Taschenbuch. Zustand: Neu. Advanced Data Mining Tools and Methods for Social Computing | Sourav De (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Inc | EAN 9780323857086 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. Advanced Machine Vision Paradigms for Medical Image Analysis | Tapan K Gandhi | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Elsevier Inc | EAN 9780128192955 | Verantwortliche Person für die EU: Elsevier B.V., Radarweg 29, 1043 NX AMSTERDAM, NIEDERLANDE, productsafety[at]elsevier[dot]com | Anbieter: preigu. …

Zustand: New. In English.

Zustand: New. In English.

Gebunden. Zustand: New. Sourav De, PhD, is an Associate Professor of Computer Science and Engineering at Cooch Behar Government Engineering College, West Bengal, India.Sandip Dey, PhD, is an Assistant Professor of Computer Science at Sukanta Mahavidyalaya, Dhupguri, Jalpaiguri, In.

Zustand: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.

Zustand: New. Explores major emerging trends in technology which are supporting the current advancement of medical image analysis with the help of computational intelligence Highlights the advancement of conventional approaches in the field of medical i.

Kartoniert / Broschiert. Zustand: New. Provides insights into the latest research trends in social network analysis Covers a broad range of data mining tools and methods for social computing and analysis Includes practical examples and case studies across a range of to.

Hardcover. Zustand: Brand New. 300 pages. 9.50x6.75x0.50 inches. In Stock.

Buch. Zustand: Neu. Neuware - An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniquesRecent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authors-noted experts on the topic-provide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering.The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text:\* Includes performance analysis of the hybrid metaheuristics as related to their conventional counterparts\* Offers an in-depth analysis of a range of optimization algorithms\* Highlights a review of data clustering\* Contains a detailed overview of different standard metaheuristics in current use\* Presents a step-by-step guide to the build-up of hybrid metaheuristics\* Offers real-life case studies and applicationsWritten for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques.…