Deep Learning – Bücher, CDs, LPs und mehr, Seite 4

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…

lieferbar innerhalb 2-3 Wochen

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Angshul Majumdar
Deep Dictionary Learning

Deep Dictionary Learning: Synthesis and Analysis challenges the way we think about deep learning. Instead of treating models as opaque stacks of nonlinear layers, this book reveals a cleaner, more structu…

lieferbar ab 30.10.2026.

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Wei Cai
Deterministic, Stochastic, and Deep Learning Methods for Computational Electromagnetics

This book provides a well-balanced and comprehensive picture based on clear physics, solid mathematical formulation, and state-of-the-art useful numerical methods in deterministic, stochastic, deep neural…

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Deep Learning and Computer Vision: Models and Biomedical Applications

Algorithms for Intelligent Systems

This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. De…

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Bio-inspired Algorithms in Machine Learning and Deep Learning for Disease Detection

Currently, computational intelligence approaches are utilised in various science and engineering applications to analyse information, make decisions, and achieve optimisation goals. Over the past few deca…

lieferbar innerhalb 1-2 Wochen

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Deep Learning and Computer Vision: Models and Biomedical Applications

Algorithms for Intelligent Systems

This book takes a balanced approach between theoretical understanding and real time applications. All topics show how to explore, build, evaluate and optimize deep learning models with computer vision. De…

lieferbar innerhalb 2-3 Wochen

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Soumick Chatterjee
Deep Learning Innovations in MRI Reconstruction and Analysis

High-resolution magnetic resonance imaging (MRI) is clinically vital but inherently slow. Accelerating acquisition via undersampling introduces artefacts, whereas long scans risk motion blur; traditional …

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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…

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Handbook of Deep Learning Models for Healthcare Data Processing

In recent years, deep learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to d…

lieferbar in mind. 4 Wochen

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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…

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Emilio Soria Olivas, Pablo Rodríguez Belenguer, Diego Bonilla Salvador, Emma Amorós Belda
AI Revolution: Exploring Advanced Concepts in Deep Learning

This comprehensive textbook offers a unique approach to learning machine learning and deep learning by seamlessly integrating theoretical foundations with hands-on laboratory exercises. The book bridges t…

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Arlene John, Barry Cardiff, Deepu John
Deep Learning and Signal-Processing Methods for Multisensor Data Fusion

Chapter 1. Introduction.- Chapter 2. Fusion- a multi-domain topic.- Chapter 3. Signal quality indicators for ECG signals obtained from wearable IoT sensors.- Chapter 4. Multi-sensor fusion for heartrate e…

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

Data-Centric Systems and Applications

This book covers the main research areas that aim to bridge the world of databases and SQL with the world of natural language. It provides a comprehensive coverage of the most influential work in the fiel…

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Andreas M. Billert
Predictive Battery Thermal Management of Electric Vehicles using Deep Learning

Improving the energy efficiency of battery electric vehicles increases their range and reduces well-to-wheel emissions. An efficient battery thermal management reduces the energy consumption while taking …

lieferbar innerhalb 2-3 Wochen

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Yu Xie, Yue Tian, Jiamin Yao, Guanjun Liu
Neural Network-Based Deep Learning for Online Payment Fraud Detection

This book explores deep learning as a next-generation approach to online payment fraud detection in the face of increasingly complex and adaptive threats. Traditional rule-based or shallow learning method…

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Ziad El-Khatib, Sherif Moussa
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…

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Pradeep Singh, Balasubramanian Raman
The Geometry of Intelligence: Foundations of Transformer Networks in Deep Learning

Studies in Big Data - Band 175

This book offers an in-depth exploration of the mathematical foundations underlying transformer networks, the cornerstone of modern AI across various domains. Unlike existing literature that focuses prima…

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Mansura Habiba, Barak A. Pearlmutter, Mehrdad Maleki
Recent Trends in Modelling the Continuous Time Series Using Deep Learning

This book presents the first unified, practical framework for continuous-time series analysis using state-of-the-art neural architectures. Moving beyond traditional discrete-time methods, it directly addr…

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Frederic Ros
Brick-by-Brick Approach to Modern Deep Learning Architectures

The textbook uses a unique "brick-by-brick" methodology to build understanding incrementally, starting from attention mechanisms and progressing systematically through the complete Transformer a…

lieferbar ab 28.10.2026.

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Carlos Urdaneta, Aamir Bader Shah, Xuqing Wu, Xin Fu
Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance

Advances in Oil and Gas Exploration & Production

This book presents data driven approaches to improve drilling performance in geothermal, coiled tubing, and conventional operations. It begins with transformer models for forecasting rate of penetration i…

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