Machine intelligence and signal processing : proceedings of International Conference, MISP 2019 /: proceedings of International Conference, MISP 2019. ([2020])

• Record Type: Book
• Further Information: Note: Sonali Agarwal, Shekhar Verma, Dharma P. Agrawal, editors.
• Other Names: Agarwal, Sonali; Verma, Shekhar; Agrawal, Dharma P (Dharma Prakash), 1945-; International Conference on Machine Intelligence and Signal Processing, 2nd
• 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.
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (xvi, 466 pages), illustrations (some color)
• Subjects: 006.3; Artificial intelligence -- Congresses; Signal processing -- Congresses; Artificial intelligence; Signal processing; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811513664
• Related ISBNs: 981151366X; 9811513651; 9789811513657
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (SpringerLink, viewed March 27, 2020).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.