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Machine Intelligence and Signal Processing: Proceedings of International Conference, Misp 2019

Machine Intelligence and Signal Processing: Proceedings of International Conference, Misp 2019 (Paperback, 2020)

Dharma P. Agrawal, Sonali Agarwal, Shekhar Verma (엮은이)
Springer
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Machine Intelligence and Signal Processing: Proceedings of International Conference, Misp 2019
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· 제목 : Machine Intelligence and Signal Processing: Proceedings of International Conference, Misp 2019 (Paperback, 2020) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9789811513657
· 쪽수 : 466쪽
· 출판일 : 2020-02-26

목차

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.

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Shekhar Verma (엮은이)    정보 더보기
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