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Engineering Data-Driven Adaptive Trust-based e-Assessment Systems

This book shares original innovations, research, and lessons learned regarding teaching and technological perspectives on trust-based;

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Adaptive Hypermedia and Adaptive Web-Based Systems

will enable personalized, adaptive hypermedia systems to play an even more e?ective role in peoples lives. The Web has enabled the widespread;

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Distributed Cooperative Control and Communication for Multi agent Systems

rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The;

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Distributed Cooperative Control and Communication for Multi agent Systems

rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The;

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Dynamic Data Driven Applications Systems

This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020;

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Software Engineering for Resilient Systems

. robustness, dependable vs. adaptive systems); verification, validation and evaluation of resilience; modeling and model based analysis of resilience;

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Data-Driven Modeling, Filtering and Control

The scientific research in many engineering fields has been shifting from traditional first-principle-based to data-driven or evidence;

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Netcentric System of Systems Engineering with DEVS Unified Process

Department of Defense's (DoD) Open Unified Technical Framework (OpenUTF) for netcentric Test and Evaluation (T&E). Section II delves into M&S-based;

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Netcentric System of Systems Engineering with DEVS Unified Process

Department of Defense's (DoD) Open Unified Technical Framework (OpenUTF) for netcentric Test and Evaluation (T&E). Section II delves into M&S-based;

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Data-Driven Traffic Engineering

Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus;

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Trends in Nonlinear and Adaptive Control

-input-multiple-output nonlinear systems; input delays; partial differential equations; population games; and data-driven control;

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Web Information Systems Engineering WISE 2013 Workshops

computing, PCS 2013, data quality and trust in dig data, QUAT 2013, e-health and social computing, SCEH 2013, semantic technology for e-health, STeH;

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Machine Learning and Knowledge Discovery for Engineering Systems Health Management

three parts, the book explains how the fundamental algorithms and methods of both physics-based and data-driven approaches effectively address;

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Data-driven Technology for Engineering System Health Management

This book introduces condition-based maintenance (CBM)data-driven prognostics and health management (PHM) in detail, first explaining the;

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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine;

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Intelligent Data Analysis for e-Learning

within e-Learning based on trustworthiness assessment and prediction. Over the past decade, many learning management systems have appeared in the;

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Robust Adaptive Dynamic Programming

theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal;

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Engineering Adaptive Software Systems

authorization infrastructure for security (Chap. 5), and self-adaptive risk assessment for self-protection (Chap. 6). Finally, Chap. 7 provides a;

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Modeling, Assessment, and Optimization of Energy Systems

based on thermodynamic, exergoeconomic and exergoenviromental approaches. It provides advanced analytical approaches, assessment criteria and;

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Knowledge-Driven Board-Level Functional Fault Diagnosis

as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis;

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Model-Based Design Of Adaptive Embedded Systems

This book describes model-based development of adaptive embedded systems, which enable improved functionality using the same resources. The;

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Interdisciplinary Approaches to Adaptive Learning: A Look at the Neighbours

, CorpusCALL, authoring systems statistical modelling, item response theory, data mining, electronic assessment adaptive and adaptable learning;

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Data-Driven Design of Fault Diagnosis and Fault-Tolerant Control Systems

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis;

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E-learning Methodologies

platforms. This edited volume covers state of the art topics including user modeling for e-learning systems and cloud, IOT, and mobile-based;

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Data-Driven Methods for Adaptive Spoken Dialogue Systems

Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently;

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Advances in Applications of Data Driven Computing

of applications. Applications of Artificial intelligence (AI)-based systems play a significant role in today's software industry. The sensors data from;

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Bayesian Networks for Managing Learner Models in Adaptive Hypermedia Systems

Teachers use e-learning systems to develop course notes and web-based activities to communicate with learners on one side and monitor and;

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