Intelligent Systems Modeling and Simulation III by Abdul Karim, Samsul Ariffin;

Artificial Intelligent, Machine Learning, Intelligent Functions and Cyber Security

Series: Studies in Systems, Decision and Control; 553;

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Product details:

Edition number 2024
Publisher Springer Nature Switzerland
Date of Publication 22 September 2024
Number of Volumes 1 pieces, Book

ISBN 9783031673160
Binding Hardback
No. of pages521 pages
Size 235x155 mm
Language English
Illustrations XVII, 521 p. 170 illus., 147 illus. in color. Illustrations, black & white

Long description:

This book continues the previous edition: Samsul Ariffin Abdul Karim (2022). Intelligent Systems Modeling and Simulation II: Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods, Studies in Systems, Decision and Control (SSDC, volume 444, 22k Access). After two years, Intelligent Systems Modeling and Simulation have evolved tremendously through the latest and advanced emergence technologies and many highly sophisticated algorithms have been developed by blending artificial intelligence (AI) and mathematics, statistics, data modelling and other related research areas. These blends offer many opportunities and further investigations into the overlapand equality between these areas. It is a well-known fact that most industries and companies have utilized this IR4.0 architecture in various levels of manufacturing and decision processes. Besides, nowadays IR5.0 or Society5.0 has also been embedded into various systems in industries as well as in Teaching and Learning (TL). The combination of IR4.0 and Society 5.0 may result in more impactful outcomes, especially in automated decision-making and reliable simulations-based modelling. Furthermore, IR4.0 and Society5.0 through Data-Driven have made a significant contribution to the government and companies to analyse big data via predictive analytics. Cyber security firewalls on all systems must be up to date to prevent any malicious attacks by hackers. Otherwise, our citizens might be scammed and according to NBC News, the total loss for 2022 is around USD 8.8 billion. These are very huge amount. Just recently, COVID-19 has been spreading all over the world again. To assist the Ministry of Health (MOH) and other government agencies, it is very crucial to identify, predict, detect and quarantine the COVID-19 on the susceptible persons soonest possible. Intelligent Image Processing techniques are very demanding here. This is to ensure that we can control and minimise the spread. Inspire by these latest developments, in this book, various experts in the areas of Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Modeling and Simulation, Cyber Security and Awareness, Intelligent Statistical Methods, Big Data Analytics, Sentiment Analytics, Intelligent Function Approximation, Image Processing in medical imaging especially on COVID-19, AI in Teaching and Learning, and Computational Intelligence will share their latest studies and experiences. Their finding is in line with United Nations Sustainable Development Goals (SDGs) such as No. 9: Industry, Innovation, and Infrastructure, particularly Target 9.4, 9.5, 9.a, 9.b and 9.c, No. 11: Sustainable Cities and Communities particularly Target 11.b and Indicators 11.b.1 and 11.b.2, and SDG No. 4: Quality Education; particularly Target 4.7 and Indicator 4.7.1. This book is highly suitable for postgraduate students and researchers to get the state-of-the-art current research directions as well as for the scientists that have an interest and working in intelligent numerical modelling and simulations through AI, Machine Learning, Neural Networks, and its related counterparts.

Intelligent Systems Modeling and Simulation: An Overview.- COVID-19: Current Situation and Data-Driven Solutions.- Deep Learning for COVID-19 Image Detection.- Deep Learning for COVID-19 Prediction.- New Neural Network Framework for Medical Intelligent Systems.- AI in Teaching and Learning.- AI for Future Assessment.- Detection of Confusion in Online Learners.- Using Electroencephalography (EEG).- Population GrowthForecasting Using the Verhulst Logistic Model and Numerical Techniques.- AI for Climate Change Prediction.- Intelligent Approximation for climate differential equations.- AI for disaster risk reduction strategies.- AI for Environmental Modeling.- Deep Learning to Air Pollution Predictive.- Compressor Vibration Monitoring for Predictive Maintenance using Machine Learning.- Building Vibration Analysis using Machine Learning and Predictive Analytics.- Fraud Detection Using Machine Learning.- Big-Data Framework for Auditing Analytics.- Cyber Security Awareness: Concept and Technical Aspects.- Intelligent Systems Modeling and Simulation: Ways Forward from IR4.0 to IR5.0.

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