Meta-Learning And Deep Networks – alle Bücher, CDs und LPs, Seite 3 online kaufen

Oswald Campesato
CSS3 and SVG with Meta AI

This book provides an introduction to generative AI and how to use Meta AI to generate graphics code using various combinations of HTML, CSS3, and SVG. It covers various aspects of modern web development …

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Innovations in Machine and Deep Learning

In recent years, significant progress has been made in achieving artificial intelligence (AI) with an impact on students, managers, scientists, health personnel, technical roles, investors, teachers, and …

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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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Deep Learning in Genetics and Genomics

Deep Learning in Genetics and Genomics vol. 1, Foundations and Applications, the intersection of deep learning and genetics opens up new avenues for advancing our understanding of the genetic code, gene r…

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Yaoliang Song, Igor Semchenko, Sergei Khakhomov, Lei Wang
The Design of Chiral Metamaterials and Metasurfaces

The Design of Chiral Metamaterials and Metasurfaces covers the theoretical and experimental study of the properties of chiral metamaterials (composite media that can be engineered to exhibit unique electr…

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Deep Learning and Other Soft Computing Techniques

This book focuses on the use of artificial intelligence (AI) and computational intelligence (CI) in medical and related applications. Applications include all aspects of medicine: from diagnostics (includ…

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Ali Kaveh
Applications of Artificial Neural Networks and Machine Learning in Civil Engineering

This book provides different applications of artificial neural networks (ANN) and machine learning (ML) in various problems of material science, structural optimization, and optimal analysis of structures…

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Farzaneh Shakki, Ali Derakhshan
Instructed Second Language Pragmatics for The Speech Acts of Request, Apology, and Refusal: A Meta-Analysis

Pragmatic instruction has received momentous attention in Second Language Acquisition (SLA) over the last decades. In order to scrutinize the effectiveness of L2 instruction, meta-analyses are warranted; …

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James Hutson
Art and Culture in the Multiverse of Metaverses

Springer Series on Cultural Computing

Drawing on the art historical framing of Location, Place, and Identity, this book will examine how the factors of Immersion, Presence, and Interactivity of XR are shaping our understanding of the world an…

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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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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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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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Deep Learning Techniques for Automation and Industrial Applications

This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which arti…

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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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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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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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Machine Learning, Image Processing, Network Security and Data Sciences

This book constitutes the refereed proceedings of the 5th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2023, held in Hamirpur, India, during Dec…

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Deep Learning for Advanced X-ray Detection and Imaging Applications

This book provides a comprehensive overview of the latest advances in applying Artificial Intelligence (AI) to advanced X-ray imaging, with a particular focus on its medical applications. Readers will dis…

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Carsten Holst
Automated Flank Wear Segmentation and Measurement with Deep Learning Image Processing

This thesis optimizes AI models for identifying tool wear on microscopic images of cutting tools. It creates a tool wear model from empirical trials to generate a dataset and conducts screening analysis t…

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Abdussalam Elhanashi, Sergio Saponara
Deep Learning in Action: Image and Video Processing for Practical Use

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and objec…

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