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Smart Medical Imaging for Diagnosis and Treatment Planning

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This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for ... Læs mere

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This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for
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Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing

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Serier serie AAP Advances in Artificial Intelligence and Robotics
This book focuses on the fusion of artificial intelligence and machine learning in advanced image processing, data analysis, and cyber security, as well as compiles and discusses various engineering solutions using various artificial intelligence paradigms. It looks at recent technological advancements and considers how artificial intelligence, machine learning, deep learning, soft computing, and ... Læs mere

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Computer Systems for Healthcare and Medicine

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Image Restoration

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Artificial Intelligence based Solutions for Industrial Applications

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Serier serie Multimedia Computing, Communication and Intelligence
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Digital Functions and Data Reconstruction

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af Sean A. Fulop ...

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Redigeret af Chi-Hung Hwang, Gordon Shaw, Motoharu Fujigaki ...

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Image Processing and Machine Learning, Volume 2

Advanced Topics in Image Analysis and Machine Learning

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Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and ... Læs mere

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Multi-Sensor and Multi-Temporal Remote Sensing

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af Anil Kumar, Priyadarshi Upadhyay, Uttara Singh ...

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The ... Læs mere

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This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The
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Super-Resolution Imaging

Redigeret af Peyman Milanfar ...

Serier serie Digital Imaging and Computer Vision
With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next "killer app." The growing interest in this technology has manifested itself in an explosion of literature on the subject. Super-Resolution Imaging consolidates key recent research contributions from eminent scholars and practitioners in this area and ... Læs mere

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Redigeret af Sankar K. Pal, James F. Peters ...

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Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, Rough Fuzzy Image Analysis: Foundations and ... Læs mere

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Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis. These three types of sets and their various hybridizations provide powerful frameworks for image analysis. Emphasizing the utility of fuzzy, near, and rough sets in image analysis, Rough Fuzzy Image Analysis: Foundations and
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High-Dimensional Statistics

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af Martin J. Wainwright ...

Serier Bog 48 - Cambridge Series in Statistical and Probabilistic Mathematics
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Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters
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Sparse Image and Signal Processing

Wavelets and Related Geometric Multiscale Analysis, Second Edition

af Jean-Luc Starck, Fionn Murtagh, Jalal Fadili ...

This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest ... Læs mere

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This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest
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Biometric Technology

Authentication, Biocryptography, and Cloud-Based Architecture

af Ravi Das ...

Most biometric books are either extraordinarily technical for technophiles or extremely elementary for the lay person. Striking a balance, this book is geared toward the business, IT, or security manager required to make purchasing, migration, or adoption decisions. Presenting technical background on the various biometric technologies and how they work, it looks at optimal application in various ... Læs mere

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Most biometric books are either extraordinarily technical for technophiles or extremely elementary for the lay person. Striking a balance, this book is geared toward the business, IT, or security manager required to make purchasing, migration, or adoption decisions. Presenting technical background on the various biometric technologies and how they work, it looks at optimal application in various
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Optisk databehandling e-bøger

Smart Medical Imaging for Diagnosis and Treatment Planning

Fusion of Artificial Intelligence and Machine Learning in Advanced Image Processing

Computer Systems for Healthcare and Medicine

Algorithms

Multi-Sensor Image Fusion and Its Applications

Image Restoration

Hybrid Encryption Algorithms over Wireless Communication Channels

Artificial Intelligence based Solutions for Industrial Applications

Nonparametric Statistics on Stratified Spaces and Their Applications in Object Data Analysis

Uncoded Multimedia Transmission

Digital Functions and Data Reconstruction

Image Processing and Mathematical Morphology

Speech Spectrum Analysis

The Last Emperor: Constantine XI Paleologus

Angiography and Plaque Imaging

Developing Kaggle Notebooks

Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 2

Image Processing and Machine Learning, Volume 2

Multi-Sensor and Multi-Temporal Remote Sensing

Super-Resolution Imaging

Rough Fuzzy Image Analysis

High-Dimensional Statistics

Sparse Image and Signal Processing

Biometric Technology