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This book focuses on sustainable energy systems. While several innovative and alternative concepts are presented, the topics of energy policy, life cycle assessment, thermal energy, and renewable energy also play a major role. Models on various temporal and geographical scales are developed to understand the conditions of technical as well as organizational change. New methods of modeling, which can fulfil technical and physical boundary conditions and nevertheless consider economic environmental and social aspects, are also developed.

coal-fired power unit --- capacity investment --- energy density --- sensitivity analysis --- fuel --- renewable energy source penetration --- AHP --- torrefaction --- Active Disturbance Rejection Control --- swell effect disturbance --- renewable energy --- resource efficiency --- choice experiment --- pseudo-Huber loss --- integrated model --- Probabilistic Robustness --- sustainable energy --- Energy Life-Cycle Assessment --- hysteresis switching --- areal grey relational analysis --- market power --- photovoltaic with energy storage system --- wind power plants --- power system stability --- alternative energy --- hollow rollers --- efficiency --- generation system scheduling --- energy from biomass --- fuelwood value index --- manufacturing industry --- game theory --- energy modelling --- peach --- grindability --- artificial neural networks control --- sustainability --- large bearings --- levelized cost of energy --- renewable energies --- ash recovery --- thermodynamic cycle concepts --- modified cycle concepts --- HOMER simulation --- low-carbon economy --- energy systems --- fuzzy logic control --- basic plan for long-term electricity supply and demand --- LCOE comparison --- post-harvest --- heating value --- power supply reliability --- Pinus pinaster --- doubly fed induction generator --- willingness to pay --- multilayer perception --- robust optimization --- forecasting model for electricity demand --- transient impact --- uncertainty --- power electronics --- electrostatic devices --- flexibility --- active power harmonics filter --- Monte Carlo --- energy storage systems --- energy costs --- SWOT analysis --- tidal stream generator --- textile industrial sector --- stochastic approach --- deficit --- uncertainty analysis --- rotary reactor --- biomass --- secondary air regulation --- forecasting --- photovoltaic --- electricity --- Internet of Things --- dynamic planning --- fuzzy rough set --- flexible resource --- wind resources --- op-amp --- maximum power point tracking --- nexus concept

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Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.

spatio-temporal --- residual networks --- bus traffic flow prediction --- advance rate --- shield performance --- principal component analysis --- ANFIS-GA --- tunnel --- online learning --- extreme learning machine --- cyclic dynamics --- transfer learning --- knowledge preservation --- Feature Adaptive --- optimization --- Bacterial Foraging algorithm --- Swarm Intelligence algorithm --- Isolated Microgrid --- traffic surveillance video --- state analysis --- Grassmann manifold --- neural network --- machine-learning --- quality of life --- Better Life Index --- bagging --- ensemble learning --- pedestrian attributes --- surveillance image --- semantic attributes recognition --- multi-label learning --- large-scale database --- traffic congestion detection --- minimizing traffic congestion --- traffic prediction --- deep learning --- urban mobility --- ITS --- Vehicle-to-Infrastructure --- neural networks --- LSTM --- embeddings --- trajectories --- motion behavior --- smart tourism --- driver’s behavior detection --- texting and driving --- convolutional neural network --- smart car --- smart cities --- smart infotainment --- driver distraction --- cameras --- convolution --- detection --- image recognition --- DSS --- diabetes prediction --- homecare assistance information system --- muti-attribute analysis --- artificial training dataset --- machine learning --- big data --- data analysis --- sensors --- Internet of Things --- vehicular networks --- VDTN --- routing --- message scheduling --- traffic flow prediction --- wavenet --- TrafficWave --- RNN --- GRU --- SAEs --- risk assessment --- neural architecture search --- recurrent neural network --- automated driving vehicle --- decision support system --- artificial intelligence --- disaster management --- Smart city --- program management --- integrated model --- smart city --- intelligence transportation system --- computer vision --- potential pedestrian safety --- data mining --- healthcare --- Apache Spark --- disease detection --- symptoms detection --- Arabic language --- Saudi dialect --- Twitter --- high performance computing (HPC) --- spatial-temporal dependencies --- traffic periodicity --- graph convolutional network --- traffic speed prediction --- vehicular traffic --- surveillance video --- big data analysis --- autonomous driving --- life quality --- pattern recognition

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Smart cities operate under more resource-efficient management and economy than ordinary cities. As such, advanced business models have emerged around smart cities, which led to the creation of smart enterprises and organizations that depend on advanced technologies. This book includes 21 selected and peer-reviewed articles contributed in the wide spectrum of artificial intelligence applications to smart cities. Chapters refer to the following areas of interest: vehicular traffic prediction, social big data analysis, smart city management, driving and routing, localization, safety, health, and life quality.

Information technology industries --- spatio-temporal --- residual networks --- bus traffic flow prediction --- advance rate --- shield performance --- principal component analysis --- ANFIS-GA --- tunnel --- online learning --- extreme learning machine --- cyclic dynamics --- transfer learning --- knowledge preservation --- Feature Adaptive --- optimization --- Bacterial Foraging algorithm --- Swarm Intelligence algorithm --- Isolated Microgrid --- traffic surveillance video --- state analysis --- Grassmann manifold --- neural network --- machine-learning --- quality of life --- Better Life Index --- bagging --- ensemble learning --- pedestrian attributes --- surveillance image --- semantic attributes recognition --- multi-label learning --- large-scale database --- traffic congestion detection --- minimizing traffic congestion --- traffic prediction --- deep learning --- urban mobility --- ITS --- Vehicle-to-Infrastructure --- neural networks --- LSTM --- embeddings --- trajectories --- motion behavior --- smart tourism --- driver’s behavior detection --- texting and driving --- convolutional neural network --- smart car --- smart cities --- smart infotainment --- driver distraction --- cameras --- convolution --- detection --- image recognition --- DSS --- diabetes prediction --- homecare assistance information system --- muti-attribute analysis --- artificial training dataset --- machine learning --- big data --- data analysis --- sensors --- Internet of Things --- vehicular networks --- VDTN --- routing --- message scheduling --- traffic flow prediction --- wavenet --- TrafficWave --- RNN --- GRU --- SAEs --- risk assessment --- neural architecture search --- recurrent neural network --- automated driving vehicle --- decision support system --- artificial intelligence --- disaster management --- Smart city --- program management --- integrated model --- smart city --- intelligence transportation system --- computer vision --- potential pedestrian safety --- data mining --- healthcare --- Apache Spark --- disease detection --- symptoms detection --- Arabic language --- Saudi dialect --- Twitter --- high performance computing (HPC) --- spatial-temporal dependencies --- traffic periodicity --- graph convolutional network --- traffic speed prediction --- vehicular traffic --- surveillance video --- big data analysis --- autonomous driving --- life quality --- pattern recognition

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Currently, the modelling and control of mechatronic and robotic systems is an open and challenging field of investigation in both industry and academia. The book encompasses the kinematic and dynamic modelling, analysis, design, and control of mechatronic and robotic systems, with the scope of improving their performance, as well as simulating and testing novel devices and control architectures. A broad range of disciplines and topics are included, such as robotic manipulation, mobile systems, cable-driven robots, wearable and rehabilitation devices, variable stiffness safety-oriented mechanisms, optimization of robot performance, and energy-saving systems.

bionic mechanism design --- synthesis --- exoskeleton --- finger motion rehabilitation --- super-twisting control law --- robot manipulators --- fast terminal sliding mode control --- semi-active seat suspension --- integrated model --- control --- fuzzy logic-based self-tuning --- PID --- super-twisting --- sliding mode extended state observer --- saturation function --- fuzzy logic --- attenuate disturbance --- pHRI --- variable stiffness actuator --- V2SOM --- friendly cobots --- safety criteria --- human–robot collisions --- underwater vehicle-manipulator system --- motion planning --- coordinated motion control --- inertial delay control --- fuzzy compensator --- extended Kalman filter --- feedback linearization --- CPG --- self-growing network --- quadruped robot --- trot gait --- directional index --- serial robot --- performance evaluation --- kinematics --- hydraulic press --- energy saving --- energy efficiency --- installed power --- processing performance --- space robotics --- planetary surface exploration --- terrain awareness --- mechanics of vehicle–terrain interaction --- vehicle dynamics --- multi-support shaft system vibration control --- combined simulation --- transverse bending vibration --- Smart Spring --- adaptive control --- hydraulics --- differential cylinder --- feedforward --- motion control --- manipulator arm --- trajectory optimization --- “whip-lashing” method --- reduction of cycle time --- trajectory planning --- SolidWorks and MATLAB software applications --- dynamic modeling --- multibody simulation --- robotic lander --- variable radius drum --- impact analysis --- cable-driven parallel robots --- cable-suspended robots --- dynamic workspace --- throwing robots --- casting robot --- redesign --- slider-crank mechanism --- optimization --- synthesis problem --- rehabilitation devices --- six-wheel drive (6WD) --- skid steering --- electric unmanned ground vehicle (EUGV) --- driving force distribution --- vehicle motion control --- maneuverability and stability --- hexapod robot --- path planning --- energy consumption --- cost of transport --- heuristic optimization --- mobile robots --- tractor-trailer --- wheel slip compensation --- gait optimization --- genetic algorithm --- quadrupedal locomotion --- evolutionary programming --- optimal contact forces --- micro aerial vehicles --- visual-based control --- Kalman filter --- n/a --- human-robot collisions --- mechanics of vehicle-terrain interaction --- "whip-lashing" method