DeepLearnings – Bücher, CDs, LPs und mehr, Seite 3

Cristian Bravo, Sebastian Maldonado, Maria Oskarsdottir
Deep Learning in Banking

Unlock the potential of artificial intelligence to transform financial services for a new eraDeep Learning in Banking; Leveraging Artificial Intelligence for Next-Generation Financial Services by Cristián…

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Filippo Biscarini, Nelson Nazzicari
Deep Learning for Life Sciences

Decoding Evolution - Band 1

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…

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Leonid Berlyand, Pierre-Emmanuel Jabin
Mathematics of Deep Learning

De Gruyter Textbook

This course aims at providing a mathematical perspective to some key elements of the so-called deep neural networks (DNNs). Much of the interest on deep learning has focused on the implementation of DNN-b…

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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…

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Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg
Deep Learning Crash Course

A complete guide to deep neural networks -- the technology behind AI -- covering fundamental and advanced techniques to apply machine learning in real-world scenarios.Deep Learning Crash Course goes beyon…

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General Audio Signal Processing with Deep Learning

Dive into the cutting-edge integration of deep learning with audio signal processing in this authoritative guide. Designed for audio engineers, data scientists, and tech enthusiasts, this book demystifies…

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M. Arif Wani, Bisma Sultan, Sarwat Ali, Mukhtar Ahmad Sofi
Advances in Deep Learning, Volume 2

Studies in Big Data - Band 12

This book describes novel ways of using deep learning to solve real-world problems. It covers advanced deep learning topics like neural architecture search, ensemble deep learning, transfer learning techn…

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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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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 …

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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…

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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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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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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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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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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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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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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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