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Deep Learning for Medical Image Analysis

Deep learning is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. This;

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Sentimental Analysis and Deep Learning

This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021;

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Analysis and Design of Shallow and Deep Foundations

This is one of a kind coverage on the fundamentals of foundation analysis and design. Analysis and Design of Shallow and Deep Foundations;

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Food Analysis

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Image Analysis and Recognition

This two-volume set LNCS 11662 and 11663 constitutes the refereed proceedings of the 16th International Conference on Image Analysis and;

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Computational Methods for Deep Learning

analysis and evaluations. Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then;

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Computational Methods for Deep Learning

analysis and evaluations. Beginning with a grounding about artificial neural networks with neurons and the activation functions, the work then;

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Deep Sequencing Data Analysis

deep sequencing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning;

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Analysis, Design, Construction, and Testing of Deep Foundations

present the latest cutting-edge research in analysis, design, construction, and testing of deep foundations on topics, such as pile foundation;

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments;

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Deep Learning for Data Analytics

analysis. Deep learning transforms data through a cascade of layers, helping systems analyze and process complex data sets. Deep learning;

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Deep Sea

significance of the deep sea, including the metagenomic and metatranscriptomic analysis discoveries; the biodiversity and life-history strategies;

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Deep Learning Based Approaches for Sentiment Analysis

This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has;

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Experimental Analysis and Modeling of Oil Droplet Formation and Rise Behavior under Deep-Sea Conditions

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Deep Learning Techniques for Biomedical and Health Informatics

big data, brain image analysis, brain tumor segmentation in MRI imaging, and the future of biomedical image analysis;

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Deep Learning Applications Volume 2

analysis, and robotic control in industrial environments, and highlights novel ways of using deep neural networks to solve real-world problems;

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Extremophiles in Deep-Sea Environments

techniques for recovering pressure-loving bacteria, the barophiles (piezophiles), and for whole genome analysis of Bacillus halodurans C-125;

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R Deep Learning Projects

-world projects related to text generation, sentiment analysis, fraud detection, and more Get to grips with R's impressive range of Deep Learning;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

social media analysis applications. The chapters present solutions to various real-world problems using these methods from various researchers;

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Deep Learning with Structured Data

of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind;

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Nature Inspired Computing for Data Science

how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and;

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Deep Learning in Medical Image Analysis

chapters covers a topic in depth, ranging from medical image synthesis and techniques for muskuloskeletal analysis to diagnostic tools for breast;

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Extremophiles in Deep-Sea Environments

techniques for recovering pressure-loving bacteria, the barophiles (piezophiles), and for whole genome analysis of Bacillus halodurans C-125;

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Deep Learning and Edge Computing Solutions for High Performance Computing

identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for;

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Deep Learning for Hyperspectral Image Analysis and Classification

This book focuses on deep learning-based methods for hyperspectral image (HSI) analysis. Unsupervised spectral-spatial adaptive band-noise;

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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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Deep Learning in Healthcare

current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical;

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