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

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 …

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

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 24.2.2027.

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

This book focuses on the development of multisensor fusion algorithms for wearable devices that are useful in ambulatory health monitoring using signal-processing and deep learning-based methods. The algo…

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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 24.2.2027.

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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…

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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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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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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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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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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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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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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 8.1.2027.

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Wei Qi Yan
Robotic Vision

Robotic vision represents the cutting edge of modern computing, combining artificial intelligence, deep learning, and advanced robotics to enable intelligent machines. As universities worldwide pivot from…

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Sima Das, Parijat Bhowmick, Farshad Arvin
Neural Rehab

In recent years, the integration of cutting-edge technology with healthcare has led to groundbreaking advancements. Deep learning, in particular, has emerged as a revolutionary force, poised to transform …

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Next-Generation Hyperspectral Image Analysis

This book is a comprehensive guide that bridges the gap between foundational principles and cutting-edge advancements in hyperspectral imaging and deep learning. With contributions from leading internatio…

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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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