Chittaranjan pradhan (12 Ergebnisse)

Taschenbuch. Zustand: Neu. Security and Robustness Enhancement of Digital Image Watermarking | Chittaranjan Pradhan | Taschenbuch | 168 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659647598 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Essentials of Database System | Chittaranjan Pradhan (u. a.) | Taschenbuch | 356 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139861835 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Zustand: New. pp. 270.

Zustand: New. In.

Zustand: New. Presents the latest advances in Deep Learning for data analytics and biomedical engineering applications. Discusses Deep Learning techniques as they are being applied in the real world of biomedical engineering and data science, including .

Zustand: New. pp. 250.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Intelligent Technologies | Concepts, Applications, and Future Directions, Volume 4 | Himansu Das (u. a.) | Taschenbuch | xii | Englisch | 2026 | Springer | EAN 9789819655878 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New. In.

Hardcover. Zustand: Brand New. 272 pages. 10.00x7.00x10.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at fourth PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that helps them in formulating problems of interest. The academicians can also benefit to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.…

Taschenbuch. Zustand: Neu. Neuware - Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear processing, which aids in feature extraction and learning in supervised and unsupervised ways, including classification and pattern analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning algorithms extract high level complex data and process these complex sets to relatively simpler ideas formulated in the preceding level of the hierarchy. The authors of this book focus on suitable data analytics methods to solve complex real world problems such as medical image recognition, biomedical engineering, and object tracking using deep learning methodologies. The book provides a pragmatic direction for researchers who wish to analyze large volumes of data for business, engineering, and biomedical applications. Deep learning architectures including deep neural networks, recurrent neural networks, and deep belief networks can be used to help resolve problems in applications such as natural language processing, speech recognition, computer vision, bioinoformatics, audio recognition, drug design, and medical image analysis. …