2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing 1st edition by Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Mu Yen Chen – Ebook PDF Instant Download/Delivery:9783030475604,3030475603
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ISBN 10:3030475603
ISBN 13:9783030475604
Author:Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Mu Yen Chen
This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019) took place in Coimbatore, India on December 12-13, 2019. Contains proceedings from 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019), Coimbatore, India, December 12-13, 2019; Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms; Includes contributions from researchers, academics, and professionals from around the world.
2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing 1st Table of contents:
Convergence Potential of IT and RTI Act 2005: A Case Study
Sentiment Analysis Using Long Short-Term Memory Model in Deep Learning
Minimization of the Wind Turbine Cost of Energy Through Probability Distribution Functions
Investigating the Performance of Planar Inverted-F Antenna (PIFA) in Dual Resonant Mode
Fog Computing for Smart Grid Transition: Requirements, Prospects, Status Quos, and Challenges
Multispectral Data Processing for Agricultural Applications Using Deep Learning Classification Methods
Lecture Video Summarization Using Subtitles
Retinal Image Enhancement by Intensity Index Based Histogram Equalization for Diabetic Retinopathy Screening
A PGF-Mediated Social Media Approach for Cyberpolicing India Abusers in Telangana Academics
Quantitative Performance Analysis of Hybrid Mesh Segmentation
Enhancing the Performance of Efficient Energy Using Cognitive Radio for Wireless Networks
An Internet of Things Inspired Approach for Enhancing Reliability in Healthcare Monitoring
Design of Deep Convolutional Neural Network for Efficient Classification of Malaria Parasite
Data Security and Sensitive Data Protection using Privacy by Design Technique
Effects of Customer Brand Engagement and Online Brand Experience: An Empirical Research
Bayesian Personalized Ranking-Based Rank Prediction Scheme (BPR-RPS)
Optimal Placement Techniques of Mesh Router Nodes in Wireless Mesh Networks
Predicting Replication Time in Cassandra
A 600 mV + 12 dBm IIP3 CMOS LNA with Gm Smoothening Auxiliary Path for 2.4 GHz Wireless Applications
A Survey on Non-small Cell Lung Cancer Prediction Using Machine Learning Methods
A Study of Internet-Based Cognitive Platforms for Psychological and Behavior Problems
Virtual Machine Migration and Rack Consolidation for Energy Management in Cloud Data Centers
Adaptive Uplink Scheduler for WiMAX Networks
Mask R-CNN for Instance Segmentation of Water Bodies from Satellite Image
Dynamic Spectrum Access for Spectrum Handoff in Cognitive Radio Networks Using Optimization Techniques
VLSI Implementation of Color Demosaicing Algorithm for Real-Time Image Applications
DNN-Based Decision Support System for ECG Abnormalities
A Hybrid Artificial Bee Colony Algorithmic Approach for Classification Using Neural Networks
Performance Analysis of Polar Codes for 5G Wireless Communication Network
Performance Analysis of Spectrum Sharing in mmWave Cellular Networks
Performance Analysis of VLC Indoor Positioning and Demonstration
Ranking of Educational Institutions Based on User Priorities Using Multi-criteria Decision-Making Methods
Evaluation of Graph Algorithms for Mapping Tasks to Processors
Smart Trash Segregator Using Deep Learning on Embedded Platform
Efficient Graph Algorithms for Mapping Tasks to Processors
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Anandakumar Haldorai,Arulmurugan Ramu,Sudha Mohanram,Mu Yen Chen,InternationalInnovation,Cognitive