Advances on Intelligent Informatics and Computing: Health Informatics, Intelligent Systems, Data Science and Smart Computing

by Faisal Saeed (Editor), Fathey Mohammed (Editor), Fuad Ghaleb (Editor)

Overview

This book presents emerging trends in intelligent computing and informatics. This book presents the papers included in the proceedings of the 6th International Conference of Reliable Information and Communication Technology 2021 (IRICT 2021) that was held virtually, on Dec. 22-23, 2021. The main theme of the book is “Advances on Intelligent Informatics and Computing”. A total of 87 papers were submitted to the conference, but only 66 papers were accepted and published in this book. The book presents several hot research topics which include health informatics, artificial intelligence, soft computing, data science, big data analytics, Internet of Things (IoT), intelligent communication systems, cybersecurity, and information systems.

Product Details

ISBN-13:	9783030987411
Publisher:	Springer-Verlag New York, LLC
Publication date:	03/29/2022
Series:	Lecture Notes on Data Engineering and Communications Technologies , #127
Sold by:	Barnes & Noble
Format:	eBook
File size:	84 MB
Note:	This product may take a few minutes to download.

Table of Contents

Automatic Saudi Arabian License Plate Detection and Recognition using Deep Convolutional Neural Networks.- Ship Detection Approach using Machine Learning Algorithms.- A New Deep Learning System for Wild Plants Classification and Species Identification: Using Leaves and Fruits.- A Novel Weighted Fractional TDGM Model and Quantum Particle Swarm Optimization Algorithm for Carbon Dioxide Emissions Forecasting.- Text Detergent: The Systematic Combination of Text Pre-processing Techniques for Social Media Sentiment Analysis.- Improve Short-term Electricity Consumption Forecasting using a GA-based Weighted Fractional Grey Model.- Efficient Human Activity Recognition System Using Long Short-Term Memory.- Job Training Recommendation System: Integrated Fuzzy AHP and Topsis Approach.- Improvement of Population Diversity of Meta-heuristics Algorithm using Chaotic Map.- Adaptive and Global Approaches Based Feature Selection for Large-scale Hierarchical Text Classification.- Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method.- Rainfall Forecasting using the Group Method of Data Handling Model: A Case Study of Sarawak, Malaysia.- Detecting Public Outlook Towards Vaccination using Machine Learning Approaches: A Systematic Review.- Forecasting Carbon Dioxide Emission for Malaysia using Fractional Order Multivariable Grey Model.- A Hybrid Algorithm for Pattern Matching: An Integration of Berry-Ravindran and Raita Algorithms.