Deep Learning-based DSS – alle Bücher, LPs und CDs, Seite 3

Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinform…

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Buch

Jimi Tenor

Multiversum (Colored Vinyl)

Jimi Tenor war schon immer so etwas wie ein Renaissance man. Bereits als er seine Heimat Finnland zu Beginn der 1990er Jahre verließ, um zunächst nach New York zu gehen und später quer durch Europa zu zi…

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Deep Learning in Ad-Hoc Wireless Networks

This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By c…

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Deep Learning for Multi-Sensor Earth Observation

Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontie…

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Deep Learning Applications in Medical Image Segmentation

Apply revolutionary deep learning technology to the fast-growing field of medical image segmentationPrecise medical image segmentation is rapidly becoming one of the most important tools in medical resear…

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Yannik Venohr
Deep Learning in Personalized Music Emotion Recognition

Music has a unique power to evoke strong emotions in us-bringing us to tears, lifting us into ecstasy or triggering vivid memories. Often described as a universal language, it conveys feelings that transc…

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Lihong Cao, Sancheng Peng
Textual Emotion Classification Using Deep Broad Learning

In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning. Since broad learning possesses certain advantages such as simple network s…

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Kwang Hun Kim, Ju Song Kim, Song Il Ri
Application of data decomposition and deep learning technique

Water pollution is one of the most serious environmental problems worldwide. Accurate forecast of water quality is of great importance since it can provide useful information for the managers to minimize …

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Deep Reinforcement Learning and Its Industrial Use Cases

This book serves as a bridge connecting the theoretical foundations of DRL with practical, actionable insights for implementing these technologies in a variety of industrial contexts, making it a valuable…

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Johannes Jahn
Order Analysis, Deep Learning, and Connections to Optimization

This book introduces readers to order analysis and various aspects of deep learning, and describes important connections to optimization, such as nonlinear optimization as well as vector and set optimizat…

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Hoi-Jun Yoo, Juhyoung Lee
Deep Reinforcement Learning Processor Design for Mobile Applications

This book discusses the acceleration of deep reinforcement learning (DRL), which may be the next step in the burst success of artificial intelligence (AI). The authors address acceleration systems which e…

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Shirui Wang, Jiefu Chen, Xuqing Wu, Wenyi Hu
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…

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Deep Learning for Earth Observation and Climate Monitoring

Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our underst…

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Xiao-Lei Zhang
Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments

Speech Signal Processing Based on Deep Learning in Complex Acoustic Environments provides a detailed discussion of deep learning-based robust speech processing and its applications. The book begins by loo…

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Rabia Riad, Frederic Ros
Feature and Dimensionality Reduction for Clustering with Deep Learning

This book presents an overview of recent methods of feature selection and dimensionality reduction that are based on Deep Neural Networks (DNNs) for a clustering perspective, with particular attention to …

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

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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Soyeon Caren Han, Henry Weld, Josiah Poon, Jean Lee
Natural Language Understanding in Conversational AI with Deep Learning

This book provides a comprehensive introduction to conversational spoken language understanding and surveys recent advances in conversational AI. It guides the reader through the history, current advancem…

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Proceedings of the International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication

This book is a collection of best selected research papers presented at the 2nd Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2023) held du…

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Applications of Deep Machine Learning in Future Energy Systems

Applications of Deep Machine Learning in Future Energy Systems pushes the limits of current Artificial Intelligence techniques to present deep machine learning suitable for the complexity of sustainable e…

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Patrick Klein
Combining Expert Knowledge and Deep Learning with Case-Based Reasoning for Predictive Maintenance

If a manufacturing company's main goal is to sell products profitably, protecting production systems from defects is essential and has led to vast documentation and expert knowledge. Industry 4.0 has faci…

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