Titlebook: Rigid Flexibility; The Logic of Intelli Pei Wang Book 2006 Springer Science+Business Media B.V. 2006 Extension.artificial intelligence.cogn

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A Maximal Entropy Stochastic Process for a Timed Automaton,to design a probability distribution which represents in the best possible way the runs of the TA. This question does not seem to have been studied yet. We give an answer to it using a maximal entropy approach. We introduce our variant of stochastic model, the stochastic process over runs which perm

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Fuzzy-Based Knowledge Design and?Delivery Model for?Personalised Learningide opportunity for systematic data collection about learning activities offering valuable insights into the students’ knowledge. In order to achieve the personalised learning, this study introduces a Knowledge Design and Delivery Model (KDDM) for intelligent tutoring systems. This model uses a hybr

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Insights on Hepatocellular Carcinoma in Saudi Arabiafections are the main factors of HCC development. The prevalence of HCC in Saudi Arabia is considered in the middle of the global trends, though most cases are detected at late stages with poor prognosis. In this chapter, we will discuss the main risk factors of HCC in Saudi Arabia and the geographi

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Jejune

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Introduction to Data Analysis and Machine Learning Applications in Civil Engineering,intelligence as well. As a result, analysis times have gotten shorter, and the accuracy of the results has increased. This paper summarizes data analysis, machine learning, and its applications in civil engineering.

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Pamela G. Rockwell DO,Paul Hunter MDon of the basic theoretical equations governing molecular transport is followed by discussions of electrical exposure systems, measurement methods, calibration of fluorescence measurements to absolute quantities, and some examples. The chapter provides perspective on the wide range of experimental d