Monica Bianchini (172 results)

Condition: New.

Hardback or Cased Book. Condition: New. Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications. Book.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New.

Condition: New.

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Encuadernación de tapa blanda. Condition: Nuevo. Idioma español. Ejemplar nuevo. New. Dimensiones: 21x14 - 297 pp.

Condition: New.

Hardback. Condition: New.

Paperback. Condition: Brand New. 218 pages. 6.14x0.47x9.21 inches. In Stock.

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Mathematical modeling is routinely used in physical and engineering sciences to help understand complex systems and optimize industrial processes. Mathematical modeling differs from Artificial Intelligence because it does not exclusively use the collected data to describe an industrial phenomenon or process, but it is based on fundamental laws of physics or engineering that lead to systems of equations able to represent all the variables that characterize the process. Conversely, Machine Learning methods require a large amount of data to find solutions, remaining detached from the problem that generated them and trying to infer the behavior of the object, material or process to be examined from observed samples. Mathematics allows us to formulate complex models with effectiveness and creativity, describing nature and physics. Together with the potential of Artificial Intelligence and data collection techniques, a new way of dealing with practical problems is possible. The insertion of the equations deriving from the physical world in the data-driven models can in fact greatly enrich the information content of the sampled data, allowing to simulate very complex phenomena, with drastically reduced calculation times. Combined approaches will constitute a breakthrough in cutting-edge applications, providing precise and reliable tools for the prediction of phenomena in biological macro/microsystems, for biotechnological applications and for medical diagnostics, particularly in the field of precision medicine.…

Taschenbuch. Condition: Neu. Artificial Life and Evolutionary Computation | 19th Italian Workshop, WIVACE 2025, Siena, Italy, September 3-5, 2025, Proceedings | Monica Bianchini (u. a.) | Taschenbuch | Communications in Computer and Information Science | xx | Englisch | 2026 | Springer | EAN 9783032331847 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the 19th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2025, which took place in Siena, Italy, during September 3-5, 2025.The 14 full papers included in these proceedings were carefully reviewed and selected from 21 submissions. They were organized in the following topical sections: Artificial life for environment management; AILife: Artificial Intelligence in Life Sciences; Going deep in the origin and diversity of life; and ALife in complex environments.…

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: Sehr gut. Zustand: Sehr gut | Seiten: 294 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condition: New. In English.

Condition: New. In English.

Condition: New. pp. 538.

Condition: New. In English.

Condition: New.

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Machine learning has become one of the most prevalent topics in recent years. The application of machine learning we see today is a tip of the iceberg. The machine learning revolution has just started to roll out. It is becoming an integral part of all modern electronic devices. Applications in automation areas like automotive, security and surveillance, augmented reality, smart home, retail automation and healthcare are few of them. Robotics is also rising to dominate the automated world. The future applications of machine learning in the robotics area are still undiscovered to the common readers. We are, therefore, putting an effort to write this edited book on the future applications of machine learning on robotics where several applications have been included in separate chapters. The content of the book is technical. It has been tried to cover all possible application areas of Robotics using machine learning. This book will provide the future vision on the unexplored areas ofapplications of Robotics using machine learning. The ideas to be presented in this book are backed up by original research results. The chapter provided here in-depth look with all necessary theory and mathematical calculations. It will be perfect for laymen and developers as it will combine both advanced and introductory material to form an argument for what machine learning could achieve in the future. It will provide a vision on future areas of application and their approach in detail. Therefore, this book will be immensely beneficial for the academicians, researchers and industry project managers to develop their new project and thereby beneficial for mankind. Original research and review works with model and build Robotics applications using Machine learning are included as chapters in this book.…

Condition: New. In English.

Taschenbuch. Condition: Neu. Innovations in Neural Information Paradigms and Applications | Monica Bianchini (u. a.) | Taschenbuch | Studies in Computational Intelligence | x | Englisch | 2012 | Springer | EAN 9783642260971 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condition: New. pp. 304.