DeepLearnings – Bücher, CDs, LPs und mehr, Seite 4

Francois Charette, Jose Solomon
Deep Learning in the Visual Domain

Backpropagation from mathematical first principles to Python implementation and autonomous drivingMost deep learning texts rely leave practitioners dependent on framework abstractions that hide what's hap…

lieferbar ab 25.2.2027.

Buch

Deep Learning in Cardiovascular Health

Information Systems Engineering and Management - Band 77

This book showcases the most recent developments in the application of artificial intelligence to cardiology and medical imaging, with an emphasis on precise diagnosis, early prediction, and patient-cente…

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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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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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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 13.10.2026.

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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 4.12.2026.

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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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Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei
Optimization Techniques for Deep Learning

Springer Optimization and Its Applications - Band 238

This book offers a comprehensive guide to optimization techniques in deep learning, a transformative branch of artificial intelligence that has revolutionized fields from computer vision to healthcare. By…

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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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Yi He
InSAR and Deep Learning in Landslides Research: Intelligent Identification, Risk Assessment and Susceptibility Mapping

This book combines remote sensing and deep learning technology to develop a variety of models in the study of different type landslides in a wide range of areas including northwest, southwest and southern…

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Handbook of Deep Learning Models for Healthcare Data Processing

Advancements in Intelligent and Sustainable Technologies and Systems

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 ab 16.10.2026.

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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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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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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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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 21.10.2026.

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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…

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

Intelligent Systems Reference Library - Band 278

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…

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Liangrui Peng, Ruijie Yan
Multilingual Text Recognition

Multilingual text recognition is crucial for cross language information acquisition and related applications in the mobile computing era. The core problem is to find efficient representation and decoding …

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D. Jeya Mala, Subramaniam Ganesan
Explainable AI

Prospects in Smart Technologies

With the increasing use of Deep Learning systems across various industries, there is a growing need to make their decision-making processes more understandable and transparent. Regulatory requirements now…

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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