Titlebook: Decision Making and Decision Support in the Information Era; Dedicated to Academi Valentina Emilia Balas,Gintautas Dzemyda,Janusz Ka Book 2

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immunity

obsolete

Resilience of Networks—A Partial Reviewetween the network topology and networks’ resilience is outlined. The main examples comprise computer and communication networks, biological, knowledge transfer, utility, and transportation networks (pipeline networks, railways, subways). The goals of the review are to discuss and clarify a few ‘met

灌輸

Information and Informational Organization of the Living Structures: From Decision Making to Decisiorganisms, this chapter approaches the development of informational concepts for suitable modeling of the fundamental processes in living organisms, starting with the eukaryotic cell, the living constituent unit of human, animals and plants, up to human, the most complex/developed organism on the org

Oafishness

BOOST

A Quantitative Perspective on the Evolution of Decision Support Systemsearch, behavioral and scientific theories of management and statistical process control and evolved in close connection with the development of information systems. The concept of DSS has also diversified greatly over the years. The purpose of this chapter is to provide a quantitative perspective on

BOOST

Decision Support Systems for Reverse Logistics in Industry 4.0e sustainable development goals. In Industry 4.0 Era, reverse logistics operations are increasingly improved with the use of internet of things (IoT), cyber-physical systems (CPS) and artificial intelligence (AI). New emergent technologies are used to implement intelligent and reactive platforms tha

cancer

Medical Decision Support System for Lung Damage Classificationng to solve the problems of accurate detection and treatment of different kinds of diseases. The present work reveals applications of decision support systems in managing COVID19 patients based on machine learning and classical image processing techniques. The present chapter is dedicated to the 75t

micronutrients

How Can Intelligent Decision Support Systems Be Applied in Obstetrics? little bit of history when the Decision Support Systems did not possess “intelligence” and how they metamorphosized into intelligent tools. A special interest will be paid to their important role in reading fetal morphology scans, and to the way they can predict the type of birth and so on. Theoret

裂口

Harnessing the Capabilities of IoHT-Based Remote Monitoring Systems for Decision Making in Elderly Ho smart homes. Remote Monitoring Digital Solutions (RMDSs) are integrated into such smart environments providing cost-effective and on-time healthcare services. Artificial Intelligence (AI) in healthcare helps gaining insights for evidence-based clinical decision-making. After collecting data relate