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Deep Ray, Orazio Pinti, Assad A. Oberai
Deep Learning and Computational Physics

The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It exploits strong connections between deep learning algorithms a…

lieferbar innerhalb 2-3 Wochen

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Deep Learning and Visual Artificial Intelligence

Algorithms for Intelligent Systems

This book features high-quality research papers presented at the International Conference on Deep Learning and Visual Artificial Intelligence (ICDLAI), held at Government Engineering College Bikaner, Bika…

lieferbar innerhalb 2-3 Wochen

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Machine Learning and Deep Learning in Drug Design

Drug Discovery Series

Machine learning (ML) and deep learning (DL) are reshaping the landscape of drug design. This comprehensive volume explores how these technologies are applied across the entire drug discovery pipeline--fr…

lieferbar ab 22.7.2026.

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Ravikumar Kurup, Parameswara Achutha Kurup
Die Leere und der quantenklassische Zustand - Störung des kosmischen neuronalen Netzes

Stellare Galaxien und Planeten sind biologischen Ursprungs und arbeiten bewusst als organische Quantencomputer, die auf bewussten Quantenfeldern aufgebaut sind. Sie bestehen aus symbiotischen Netzwerken v…

lieferbar innerhalb 2-3 Wochen

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Suparna Biswas
Machine Learning and Deep Learning in Human Activity Recognition and Fall Detection

Introduction.- Introduction to Human Activity Recognition, Fall Monitoring and Detection, Health monitoring.- Fundamental concepts.- Machine Learning in Human Activity Recognition using Smartphone Sensors…

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Mathias Dehn
Korrektur des thermo-elastischen Maschinenfehlers von Fräsmaschinen mithilfe von künstlichen neuronalen Netzen und maschineninternen Daten

Thermo-elastische Fehler zählen zu den Hauptursachen für Ungenauigkeiten an Fräsmaschinen. Diese Dissertation präsentiert ein innovatives Korrekturmodell auf Basis Künstlicher Neuronaler Netze, das vollst…

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Jonathan Pukas
Werknutzung und künstliche Intelligenz

Datenrecht und neue Technologien - Band 14

Diese Arbeit analysiert, welche Rahmenbedingungen das Urheberrecht für die Verwendung von Werken als Trainings- und Inputdaten künstlicher neuronaler Netze zur Verfügung stellt. Sie liefert damit Antworte…

sofort lieferbar

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Alberto Bressan, Alfio Quarteroni, Guido De Philippis, Leon Bungert
PDEs, Control and Deep Learning

Lecture Notes in Mathematics

This volume includes lectures presented at the CIME School on "PDEs, Control and Deep Learning", held in Cetraro (Italy) from July 22 to 26, 2024. It provides a comprehensive and up-to-date view…

lieferbar ab 14.8.2026.

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Deep Learning Theory and Applications

Communications in Computer and Information Science - Band 2627

This book constitutes revised selected papers from the 6th International Conference on Deep Learning Theory and Applications, DeLTA 2025, which took place in Bilbao, Spain, during June 12-13, 2025.The 9 f…

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Shirui Wang, Wenyi Hu, Xuqing Wu, Jiefu Chen
Deep Learning for Seismic Data Enhancement and Representation

Advances in Oil and Gas Exploration & Production

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns v…

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Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis

Emerging Trends and Applications of Deep Learning for Biomedical Data Analysis introduces the latest emerging trends and applications of deep learning in biomedical data analysis. This book delves into va…

lieferbar in mind. 4 Wochen

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Harvey B. Mitchell
Data Fusion

This textbook provides a comprehensive introduction to the concepts and ideas of data fusion. It is an extensively revised third edition of the author's book which was originally published by Springer-Ver…

lieferbar innerhalb 2-3 Wochen

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Barouch Matzliach, Eugene Kagan, Irad Ben-Gal
Multi-Agent Search under Uncertainty

Plan optimal multi-robot search paths despite imperfect sensor informationWhen multiple robots must locate targets in presence of false positive and false negative detection errors, path planning becomes …

lieferbar ab 29.10.2026.

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Artificial Intelligence for Global Counter-Terrorism

Contributions to Security and Defence Studies

The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and …

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Joachim Steinwendner, Roland Schwaiger
Programming Neural Networks with Python

Neural networks are at the heart of AI-so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and cr…

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Juliane Blarr
Development of Computational, Image Processing and Deep Learning Methods for the Microstructure Characterization of Carbon Fiber Reinforced Polyamide 6 Based on CT Images

Discontinuously fiber reinforced polymers exhibit complex microstructures. Quantities to characterize the latter have been developed over time, such as the fiber volume content or fiber orientation distri…

lieferbar innerhalb 2-3 Wochen

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AI-Generated Image and Video Synthesis

Technical depth and ethical frameworks for AI visual media synthesisGenerative AI models for visual media are transforming virtual reality and biomedical imaging while raising urgent questions about deepf…

lieferbar ab 31.8.2026.

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Mohammad Nauman
Keras 3

Harness the power of AI with this guide to using Keras! Start by reviewing the fundamentals of deep learning and installing the Keras API. Next, follow Python code examples to build your own models, and t…

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Maria Vechtomova
MLOps with Databricks

MLOps engineers have to deal with a glut of tools and SaaS applications, not to mention technical debt clogging the system. Such complexity requires a comprehensive approach. The Databricks Platform provi…

lieferbar ab 29.9.2026.

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