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Advances in Signal Processing and Intelligent Recognition Systems

Overview of attention for book
Advances in Signal Processing and Intelligent Recognition Systems
Springer Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning Locally Trained Wildlife Sensing in Real Acoustic Wetland Environment
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    Chapter 2 Classification of Plants Using GIST and LBP Score Level Fusion
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    Chapter 3 Real-Time Poultry Health Identification Using IoT Test Setup, Optimization and Results
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    Chapter 4 IoT Based Food Inventory Tracking System
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    Chapter 5 On Acoustic Monitoring of Farm Environments
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    Chapter 6 Clickbait Detection Using Swarm Intelligence
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    Chapter 7 IoT-Enabled Distributed Detection of a Nuclear Radioactive Source via Generalized Score Tests
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    Chapter 8 Wemotion: A System to Detect Emotion Using Wristbands and Smartphones
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    Chapter 9 Obstacle Detection in Drones Using Computer Vision Algorithm
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    Chapter 10 Intelligent Systems Applied to the Classification of Multiple Faults in Inverter Fed Induction Motors
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    Chapter 11 A v-Hog Tensor Based Discriminant Analysis for Small Size Face Recognition
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    Chapter 12 A Novel Method for Stroke Prediction from Retinal Images Using HoG Approach
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    Chapter 13 Addressing Relay Attacks Without Distance-Bounding in RFID Tag Inclusion/Exclusion Scenarios
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    Chapter 14 Digital Display Control Using Automation
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    Chapter 15 Fuzzy Based Energy Efficient Protocol for Monitoring of Nuclear Radiation Using Wireless Sensor Network
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    Chapter 16 A Framework for Lane Prediction on Unstructured Roads
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    Chapter 17 Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa
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    Chapter 18 Pre-processed Hyperspectral Image Analysis Using Tensor Decomposition Techniques
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    Chapter 19 Recovery of a Failed Antenna Element Using Genetic Algorithm and Particle Swarm Optimization for MELISSA
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    Chapter 20 STCKF Algorithm Based SOC Estimation of Li-Ion Battery by Dynamic Parameter Modeling
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    Chapter 21 Machine Learning and Data Mining Methods in Testing and Diagnostics of Analog and Mixed-Signal Integrated Circuits: Case Study
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    Chapter 22 Dimensionality Reduction by Dynamic Mode Decomposition for Hyperspectral Image Classification Using Deep Learning and Kernel Methods
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    Chapter 23 Probability-Based Approach for Epileptic Seizure Detection Using Hidden Markov Model
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    Chapter 24 Bit-Plane Specific Measures and Its Applications in Analysis of Image Ciphers
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    Chapter 25 Classification of Colposcopic Cervigrams Using EMD in R
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    Chapter 26 Automated Analytical Model for Content Based Selection of Web Services
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    Chapter 27 HSV Based Histogram Thresholding Technique for MRI Brain Tissue Segmentation
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    Chapter 28 Significance of Epoch Identification Accuracy in Prosody Modification for Effective Emotion Conversion
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    Chapter 29 Design of a Compact High Gain Wide Band Ψ Shaped Patch Antenna on Slotted Circular Ground Plane
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    Chapter 30 Quality and Complexity Measurement of 2D-DCT Archietecture Using Loeffler Algorithm Along with CSD and CSE
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    Chapter 31 Investigation of SAR Exposure Assessment in Vital Human Tissues at GSM Frequency
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    Chapter 32 Investigation of Fractality and Stationarity Behaviour on Earthquake
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    Chapter 33 Geometrically Uniform Differential Signalling for MISO/MIMO Channels Using Optimized PM Codebook
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    Chapter 34 Validating Few Contemporary Approaches in Image Segmentation – A Quantitative Approach
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    Chapter 35 A Comprehensive Review on Automatic Diagnosis of Diabetic Maculopathy in Retinal Fundus Images
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    Chapter 36 Multi-image Enhancement Technique Using Max-Plus Algebra-Based Morphological Wavelet Transform
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    Chapter 37 Power and Area Efficient FSM with Comparison-Free Sorting Algorithm for Write-Evaluate Phase and Read-Sort Phase
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    Chapter 38 Technologies and Methods for 3D Reconstruction in Archaeology
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    Chapter 39 Curvelet Based Thinning Algorithm
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Title
Advances in Signal Processing and Intelligent Recognition Systems
Published by
Springer Singapore, February 2019
DOI 10.1007/978-981-13-5758-9
ISBNs
978-9-81-135757-2, 978-9-81-135758-9
Editors

Thampi, Sabu M., Marques, Oge, Krishnan, Sri, Li, Kuan-Ching, Ciuonzo, Domenico, Kolekar, Maheshkumar H.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Student > Bachelor 1 9%
Student > Doctoral Student 1 9%
Professor 1 9%
Researcher 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline Count As %
Computer Science 3 27%
Chemistry 1 9%
Engineering 1 9%
Design 1 9%
Unknown 5 45%