Machine intelligence and signal processing : proceedings of International Conference, MISP 2019 / Sonali Agarwal, Shekhar Verma, Dharma P. Agrawal, editors.

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 ma...

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Bibliographic Details
Corporate Author: International Conference on Machine Intelligence and Signal Processing Allahabad, India
Other Authors: Agarwal, Sonali, Verma, Shekhar, Agrawal, Dharma P. (Dharma Prakash), 1945-
Format: eBook
Language:English
Published: Singapore : Springer, ©2020.
Series:Advances in intelligent systems and computing ; 1085.
Subjects:
Online Access:Click for online access
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 Non-Linear 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 Non-Linear Manifolds
  • FPGA implementation of LDPC Decoder
  • A Multiclass Classi_cation 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 Surveillance.