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Image and Signal Processing

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Cover of 'Image and Signal Processing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Approach to Analysis the Surface Geometry Change in Cultural Heritage Objects
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    Chapter 2 Towards the Tactile Discovery of Cultural Heritage with Multi-approach Segmentation
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    Chapter 3 Use of Imaging Techniques as a Support for the Preventive Conservation Strategy of Wall Paintings: Application to the Medieval Decors of the Château de Germolles
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    Chapter 4 Multispectral Dynamic Codebook and Fusion Strategy for Moving Objects Detection
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    Chapter 5 A Spectral Hazy Image Database
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    Chapter 6 A Bottom-Up Approach for Pig Skeleton Extraction Using RGB Data
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    Chapter 7 Deep Transfer Learning Models for Tomato Disease Detection
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    Chapter 8 Machine Learning-Based Classification of Powdery Mildew Severity on Melon Leaves
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    Chapter 9 Vine Disease Detection by Deep Learning Method Combined with 3D Depth Information
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    Chapter 10 A Random Forest-Cellular Automata Modeling Approach to Predict Future Forest Cover Change in Middle Atlas Morocco, Under Anthropic, Biotic and Abiotic Parameters
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    Chapter 11 Incep-EEGNet: A ConvNet for Motor Imagery Decoding
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    Chapter 12 Fuzzy-Based Approach for Assessing Traffic Congestion in Urban Areas
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    Chapter 13 Big Data and Reality Mining in Healthcare: Promise and Potential
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    Chapter 14 A Dataset to Support Sexist Content Detection in Arabic Text
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    Chapter 15 Multistage Deep Neural Network Framework for People Detection and Localization Using Fusion of Visible and Thermal Images
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    Chapter 16 Diagnosing Tuberculosis Using Deep Convolutional Neural Network
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    Chapter 17 Semantic Segmentation of Diabetic Foot Ulcer Images: Dealing with Small Dataset in DL Approaches
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    Chapter 18 DermoNet: A Computer-Aided Diagnosis System for Dermoscopic Disease Recognition
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    Chapter 19 A New Method of Image Reconstruction for PET Using a Combined Regularization Algorithm
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    Chapter 20 Visualizing Blood Flow of Palm in Different Muscle Tense State Using High-Speed Video Camera
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    Chapter 21 Segmentation of Microscopic Image of Colorants Using U-Net Based Deep Convolutional Networks for Material Appearance Design
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    Chapter 22 A Deep CNN-LSTM Framework for Fast Video Coding
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    Chapter 23 Microcontrollers on the Edge – Is ESP32 with Camera Ready for Machine Learning?
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    Chapter 24 Speech Enhancement Based on Deep AutoEncoder for Remote Arabic Speech Recognition
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    Chapter 25 Handwriting Based Gender Classification Using COLD and Hinge Features
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    Chapter 26 Extraction and Recognition of Bangla Texts from Natural Scene Images Using CNN
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    Chapter 27 Detection of Elliptical Traffic Signs
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    Chapter 28 Image-Based Place Recognition Using Semantic Segmentation and Inpainting to Remove Dynamic Objects
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    Chapter 29 CNN-SVM Learning Approach Based Human Activity Recognition
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    Chapter 30 Convolutional Neural Networks Backbones for Object Detection
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    Chapter 31 Object Detector Combination for Increasing Accuracy and Detecting More Overlapping Objects
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    Chapter 32 Graph-Based Image Retrieval: State of the Art
  34. Altmetric Badge
    Chapter 33 A New Texture Descriptor: The Homogeneous Local Binary Pattern (HLBP)
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    Chapter 34 Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study
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    Chapter 35 Logo Detection Based on FCM Clustering Algorithm and Texture Features
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    Chapter 36 Discrete p -bilaplacian Operators on Graphs
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    Chapter 37 Image Watermarking Based on Fourier-Mellin Transform
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    Chapter 38 A New Sparse Blind Source Separation Method for Determined Linear Convolutive Mixtures in Time-Frequency Domain
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    Chapter 39 Proposed Integration Algorithm to Optimize the Separation of Audio Signals Using the ICA and Wavelet Transform
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    Chapter 40 ECG Signal Analysis on an Embedded Device for Sleep Apnea Detection
Attention for Chapter 34: Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study
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Chapter title
Considerably Improving Clustering Algorithms Using UMAP Dimensionality Reduction Technique: A Comparative Study
Chapter number 34
Book title
Image and Signal Processing
Published by
Springer, Cham, June 2020
DOI 10.1007/978-3-030-51935-3_34
Book ISBNs
978-3-03-051934-6, 978-3-03-051935-3
Authors

Mebarka Allaoui, Mohammed Lamine Kherfi, Abdelhakim Cheriet, Allaoui, Mebarka, Kherfi, Mohammed Lamine, Cheriet, Abdelhakim

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 101 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 17%
Student > Master 13 13%
Researcher 12 12%
Student > Bachelor 8 8%
Student > Doctoral Student 2 2%
Other 6 6%
Unknown 43 43%
Readers by discipline Count As %
Computer Science 15 15%
Biochemistry, Genetics and Molecular Biology 7 7%
Engineering 5 5%
Business, Management and Accounting 3 3%
Physics and Astronomy 3 3%
Other 18 18%
Unknown 50 50%