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245 1 0 _aIntelligent Systems Modeling and Simulation III
_h[electronic resource] :
_bArtificial Intelligent, Machine Learning, Intelligent Functions and Cyber Security /
_cedited by Samsul Ariffin Abdul Karim.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXVII, 521 p. 170 illus., 147 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
_v553
505 0 _aIntelligent 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.
520 _aThis 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. .
541 _fUABC ;
_cPerpetuidad
650 0 _aComputational intelligence.
650 0 _aArtificial intelligence.
650 0 _aMachine learning.
650 1 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence.
650 2 4 _aMachine Learning.
700 1 _aAbdul Karim, Samsul Ariffin.
_eeditor.
_0(orcid)0000-0001-6518-6705
_1https://orcid.org/0000-0001-6518-6705
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031673184
776 0 8 _iPrinted edition:
_z9783031673191
830 0 _aStudies in Systems, Decision and Control,
_x2198-4190 ;
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856 4 0 _zLibro electrónico
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