Trefferliste "Deep Learning" - alle Bücher, CDs, LPs und mehr

Novel Deep Learning Methodologies in Industrial and Applied Mathematics

This book presents a collection of research papers exploring innovative applications of Artificial Intelligence (AI) in Industrial and Applied Mathematics (IAM). It begins with an introduction to the know…

Shirui Wang, Wenyi Hu, Xuqing Wu, Jiefu Chen

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…

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…

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…

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 …

Markus Bayer

Deep Learning in Textual Low-Data Regimes for Cybersecurity

In today's fast-paced cybersecurity landscape, professionals are increasingly challenged by the vast volumes of cyber threat data, making it difficult to identify and mitigate threats effectively. Traditi…

Deep Learning and Blockchain Technology for Smart and Sustainable Cities

In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology …

Suparna Biswas

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

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…

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…

George Katsogiannis-Meimarakis, Anna Mitsopoulou, Mike Xydas, Georgia Koutrika

Natural Language Interfaces for Databases with Deep Learning

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…

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 …

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…

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…

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…

Brother Ali

Satisfied Soul

Carlos Urdaneta, Aamir Bader Shah, Xuqing Wu, Xin Fu

Deep Learning Applications for Drilling Performance: Forecasting, Diagnostics, Telemetry, and Predictive Maintenance

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…

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…

Shimin Gong, Dusit Niyato, Bo Gu, Kaibin Huang

Optimization-Driven Deep Reinforcement Learning for Wireless Networks

This book explores the integration and interplay of model-based optimization and model-free deep reinforcement learning (DRL). It addresses the growing complexity of future wireless networks. This book be…

Mobb Deep

A Hell Of Instrumentals