Machine Intelligence and Signal Processing Proceedings of International Conference Misp 2019 1st Edition Sonali Agarwal 981151366X 9789811513664

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Product details:

• ISBN 10: 981151366X  
• ISBN 13: 9789811513664 
• Author: Sonali Agarwal

This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The topics covered include support vector machines (SVM) and variants like least-squares SVM (LS-SVM) and twin SVM (TWSVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved in processing big data and adapting the algorithms dynamically to improve the computational efficiency. Lastly, it describes recent developments in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing: electrocardiogram (ECG) and electroencephalogram (EEG).

Table of contents:

Ring Partition-Based Fingerprint Indexing Algorithm
A Novel Approach for Music Recommendation System Using Matrix Factorization Technique
Generation of Image Captions Using VGG and ResNet CNN Models Cascaded with RNN Approach
Face Classification Across Pose by Using Nonlinear Regression and Discriminatory Face Information
Emotion Recognition from Facial Images for Tamil Language Speakers
A Phase Noise Correction Scheme for Multi-channel Multi-echo SWI Processing
A Scanning Technique Based on Selective Neighbour Channels in 802.11 Wi-Fi Networks
Persistent Homology Techniques for Big Data and Machine Intelligence: A Survey
Concave Point Extraction: A Novel Method for WBC Segmentation in ALL Images
Speech Emotion Recognition for Tamil Language Speakers
Real-time RADAR and LIDAR Sensor Fusion for Automated Driving
Generalizing Streaming Pipeline Design for Big Data
Adaptive Fast Composite Splitting Algorithm for MR Image Reconstruction
Extraction of Technical and Non-technical Skills for Optimal Project-Team Allocation
Modified Flower Pollination Algorithm for Optimal Power Flow in Transmission Congestion
Intelligent Condition Monitoring of a CI Engine Using Machine Learning and Artificial Neural Networks
Bacterial Foraging Optimization in Non-identical Parallel Batch Processing Machines
Healthcare Information Retrieval Based on Neutrosophic Logic
Convolutional Neural Network Long Short-Term Memory (CNN + LSTM) for Histopathology Cancer Image Classification
Forecasting with Multivariate Fuzzy Time Series: A Statistical Approach
Nature-Inspired Algorithm-Based Feature Optimization for Epilepsy Detection
A Combined Machine-Learning Approach for Accurate Screening and Early Detection of Chronic Kidney Disease
Backpropagation and Self-Organizing Map Neural Network Methods for Identifying Types of Eggplant Fruit
Head Pose Prediction While Tracking Lost in a Head-Mounted Display
Recommendation to Group of Users Using the Relevance Concept
ACA: Attention-Based Context-Aware Answer Selection System
Dense and Partial Correspondence in Non-parametric Scene Parsing
Audio Surveillance System
MOPSA: Multiple Output Prediction for Scalability and Accuracy
Impact of Cluster Sampling on the Classification of Landsat 8 Remote Sensing Imagery
Deep Neural Networks for Out-of-sample Classification of Nonlinear Manifolds
FPGA Implementation of LDPC Decoder
A Multiclass Classification of Epileptic Activity in Patients Using Wavelet Decomposition
Hexa-Directional Feature Extraction for Target-Specific Handwritten Digit Recognition
Cardiovascular Disease Prediction Using Machine Learning Tools
Analysis of Global Motion Compensation and Polar Vector Median for Object Tracking Using ST-MRF in Video Surve

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