Advances in artificial intelligence and data engineering : Select proceedings of AIDE 2019
Author(s)
Bibliographic Information
Advances in artificial intelligence and data engineering : Select proceedings of AIDE 2019
（Advances in intelligent systems and computing, v.1133）
Springer, c2020
- v.2
Available at 1 libraries
Description and Table of Contents
Description
This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.
Table of Contents
Fraud Detection in Online Transactions Using Machine Learning Approaches - A Review.- Artificial Intelligence Techniques for Predicting TYPE 2 DIABETES.- Braille cell Segmentation and Removal of Unwanted Dots using Canny Edge Detector.- IoT Based Data Storage for Cloud Computing Applications.- An Introduction To Sparse Sampling On Audio Signal By Exploring Different Basis Matrix.- A Home Security Camera System Based on Cloud and SNS.- Cyberbullying Detection Using Sentiment and Personality.- Sparse Reflectance Map Based Fabric Characterization.- Human Resource Working Prediction Based on Logistic Regression.- Study on Automatic Speech Therapy System for Patients.- An IoT based Congestion Control Framework for Intelligent Traffic Management System.- Multi Join Query Optimization using Modified ACO with GA.- Character Recognition of Tulu script using Convolutional Neural Network.
by "Nielsen BookData"