Deep Learning For Anomaly Detection – alle Bücher

Wir konnten keine exakten Treffer zu Ihrer Suche nach "Deep learning for anomaly detection" finden. Könnten diese Produkte zu Ihrer Suche passen?

Deep Learning for Intrusion Detection

Comprehensive resource exploring deep learning techniques for intrusion detection in various applications such as cyber physical systems and IoT networksDeep Learning for Intrusion Detection provides a pr…

lieferbar ab 28.1.2026.

Buch

Deep Learning for Advanced X-ray Detection and Imaging Applications

This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will dis…

lieferbar innerhalb 2-3 Wochen

Buch

Charles Ravarani, Natasha Latysheva
Deep Learning for Biology

Bridge the gap between modern machine learning and real-world biology with this practical, project-driven guide. Whether your background is in biology, software engineering, or data science, Deep Learning…

sofort lieferbar

Buch

Filippo Biscarini, Nelson Nazzicari
Deep Learning for Life Sciences

Artificial intelligence is already ubiquitous in the life sciences, from cancer diagnosis to medical image analysis, from precision agriculture to wildlife monitoring. It is therefore essential for any sc…

lieferbar ab 15.1.2026.

Buch

Zuxuan Wu, Yu-Gang Jiang
Deep Learning for Video Understanding

This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and notations, 2D and 3D Convolutional Neural Networks for spati…

lieferbar innerhalb 2-3 Wochen

Buch

Gang Liu, Meng Jiang, Eric Inae
Deep Learning for Polymer Discovery

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges…

lieferbar innerhalb 2-3 Wochen

Buch

Reinhard Heckel
Deep Learning for Computational Imaging

This textbook offers an introduction to deep learning for solving inverse problems. It introduces deep neural networks and deep neural network based signal and image reconstruction techniques. It discusse…

lieferbar innerhalb 1-2 Wochen

Buch

Deep Learning for Personalized Healthcare Services

This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop…

sofort lieferbar

Buch

Deep Learning for Multi-Sensor Earth Observation

Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontie…

lieferbar innerhalb 2-3 Wochen

Buch

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

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…

lieferbar innerhalb 2-3 Wochen

Buch

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

Buch

Yen-Wei Chen, Lanfen Lin, Rahul Kumar Jain
Recent Advances in Deep Learning for Medical Image Analysis

This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines. In r…

sofort lieferbar

Buch

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

Signals and Communication Technology

This book presents research into the domain of Human Activity Recognition (HAR) and Fall Detection (FD), with a focus on the seamless monitoring and support of elderly people. The author shows how current…

lieferbar ab 25.1.2026.

Buch

Andreas Puder
Anomaly detection for interoperable and modular operating room tables

Technologies that enable connectivity, interoperability and automation have the potential to increase the quality and efficiency of patient care. In this dissertation, the necessary adaptations to the sof…

lieferbar innerhalb 2-3 Wochen

Buch

Salar Mohtaj
Transfer Learning for Harmful Content Detection

This book provides an in-depth exploration of the effectiveness of transfer learning approaches in detecting deceptive content (i.e., fake news) and inappropriate content (i.e., hate speech). The author f…

lieferbar innerhalb 2-3 Wochen

Buch

Machine Learning, Deep Learning and AI for Cybersecurity

This book addresses a variety of problems that arise at the interface between AI techniques and challenging problems in cybersecurity. The book covers many of the issues that arise when applying AI and de…

lieferbar innerhalb 2-3 Wochen

Buch

George Katsogiannis-Meimarakis, Anna Mitsopoulou, Mike Xydas, Georgia Koutrika
Natural Language Interfaces for Databases with Deep Learning

Natural Language Interfaces to Databases.- 2. Translating Natural Language Questions to SQL.- 3. Text-to-SQL Architecture.- 4. Text-to-SQL Systems.- 5. Describing SQL Queries in Natural Language.- 6. Mult…

lieferbar innerhalb 2-3 Wochen

Buch

Frederic Ros, Rabia Riad
Feature and Dimensionality Reduction for Clustering with Deep Learning

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to …

lieferbar innerhalb 2-3 Wochen

Buch

Markus Bayer
Deep Learning in Textual Low-Data Regimes for Cybersecurity

Introduction.- Research Design.- Findings.- Discussion.- Conclusion.- Information Overload in Crisis Management: Bilingual Evaluation of Embedding Models for Clustering Social Media Posts in Emergencies.-…

lieferbar innerhalb 2-3 Wochen

Buch

Sherif Moussa, Ziad El-Khatib
Wireless Communication Using Deep Learning Techniques for Neuromorphic VLSI Computing

This book describes Deep Learning-based architecture design for intelligent wireless communication systems and specifically for Deep Learning-based receiver design. Deep Learning-based architecture design…

lieferbar innerhalb 2-3 Wochen

Buch

Informationen zur Lieferbarkeit bzw. zu Veröffentlichungsterminen von Artikeln beruhen auf Vorabinformationen unserer Lieferanten. Diese Termine sind ohne Gewähr und können sich jederzeit ändern.