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During the past few decades, information technologies have been evolving at a tremendous rate, causing profound changes to our world and to our ways of living. Emerging applications have opened u[ new routes and set new trends for antenna sensors. With the advent of the Internet of Things (IoT), the adaptation of antenna technologies for sensor and sensing applications has become more important. Now, the antennas must be reconfigurable, flexible, low profile, and low-cost, for applications from airborne and vehicles, to machine-to-machine, IoT, 5G, etc. This reprint aims to introduce and treat a series of advanced and emerging topics in the field of antenna sensors.

3D printing --- additive manufacturing --- Radio Frequency IDentification (RFID), chipless RFID --- mounted on metal --- unmanned aerial vehicle --- phased array --- frequency reconfiguration --- beam steering --- antioxidation --- frequency-reconfiguration --- liquid metal --- temperature sensor --- antenna sensor --- thermal expansion --- electrolyte-free --- industrial WSN --- ISA100.11a model --- ns-3 --- WSN --- UHF antennas --- ultra wideband antennas --- conformal antennas --- radio frequency identification --- elliptical dipole antenna --- EM/circuit co-simulation --- low-cost --- low-power --- power gating --- RF oscillator --- RTLS --- ultrawide band antennas --- biopotential sensing --- Fabry-Perot resonator --- antenna --- superstrate --- metamaterials --- passive sensing --- sensor array --- sparse array --- nonuniform array --- planar array --- random array --- low discrepancy sequence --- triband antenna --- wireless sensors --- planar patch antenna --- mobile applications --- DCS --- WLAN --- WiMAX --- circular polarization --- flexible --- polymer --- transparent --- wearable --- litz wire --- lateral misalignment --- magnetic field distribution --- mutual inductance --- Neumann integral formula --- planar spiral coil --- Internet of Things (IoT) --- wireless sensor network (WSN) --- switched-beam antenna --- electronically steerable parasitic array radiator (ESPAR) antenna --- received signal strength (RSS) --- direction-of-arrival (DoA) estimation

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A smart city is a modern technology-driven urban area which uses sensing devices, information, and communication technology connected to the internet of things (IoTs) for the optimum and efficient utilization of infrastructures and services with the goal of improving the living conditions of citizens. Increasing populations, lower budgets, limited resources, and compatibility of the upgraded technologies are some of the few problems affecting the implementation of smart cities. Hence, there is continuous advancement regarding technologies for the implementation of smart cities. The aim of this Special Issue is to report on the design and development of integrated/smart sensors, a universal interfacing platform, along with the IoT framework, extending it to next-generation communication networks for monitoring parameters of interest with the goal of achieving smart cities. The proposed universal interfacing platform with the IoT framework will solve many challenging issues and significantly boost the growth of IoT-related applications, not just in the environmental monitoring domain but in the other key areas, such as smart home, assistive technology for the elderly care, smart city with smart waste management, smart E-metering, smart water supply, intelligent traffic control, smart grid, remote healthcare applications, etc., signifying benefits for all countries.

n/a --- data mining algorithms --- pressure sensors --- proactive content delivery --- Elman neural network --- cockroaches --- capacitive sensor --- renewable energy --- indoor comfort --- impedance measurement --- Internet of things (IoT) --- context awareness --- redundant capacity --- city behavior --- secondary traffic --- SDN --- ontology --- bi-reflector solar PV system (BRPVS) --- air quality --- ontology development --- assistive living --- sol-gel technique --- decision support system --- ambient assisted living --- LCC converter --- insect surveillance --- sensitivity --- wireless sensor node (WSN) --- unpowered --- load balancing --- wireless sensor network --- dynamic range --- solar --- anomaly detection --- location-based social networks --- real-time assessment --- porous alumina --- IoT --- building integrated photovoltaics (BIPV) --- carbon nanotubes --- six-port structure --- domestic environment reconfiguration --- half bridge --- smart mat --- cloud computing --- differentiated services --- reflection-based --- nanocomposite sensor --- ppm --- chemical sensors --- sensor systems and applications --- tensile testing --- WSN --- smart traps --- ontology-based application --- hotel room comfort

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This book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.

Environmental science, engineering & technology --- groundwater potential --- specific capacity --- machine learning --- boosted tree --- ensemble models --- prototype selection --- river pollution --- supervised classification --- WSN --- probabilistic method --- Monte Carlo simulation --- physical slope model --- Mt. Umyeon landslides --- Seoul --- synthetic aperture radar --- land subsidence --- GIS --- time-series --- Jakarta --- land subsidence susceptibility mapping --- time-series InSAR --- StaMPS processing --- seismic vulnerability map --- DPM method --- Sentinel-1 --- seismic literacy --- neural networks --- urban vegetation --- urban open spaces --- Monterrey Metropolitan Area --- sustainable development --- deep learning --- transfer learning --- artificial intelligence --- remote sensing --- earth observation --- DInSAR --- change detection --- space data science

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The synergy between artificial intelligence and power and energy systems is providing promising solutions to deal with the increasing complexity of the energy sector. Multi-agent systems, in particular, are widely used to simulate complex problems in the power and energy domain as they enable modeling dynamic environments and studying the interactions between the involved players. Multi-agent systems are suitable for dealing not only with problems related to the upper levels of the system, such as the transmission grid and wholesale electricity markets, but also to address challenges associated with the management of distributed generation, renewables, large-scale integration of electric vehicles, and consumption flexibility. Agent-based approaches are also being increasingly used for control and to combine simulation and emulation by enabling modeling of the details of buildings’ electrical devices, microgrids, and smart grid components. This book discusses and highlights the latest advances and trends in multi-agent energy systems simulation. The addressed application topics include the design, modeling, and simulation of electricity markets operation, the management and scheduling of energy resources, the definition of dynamic energy tariffs for consumption and electrical vehicles charging, the large-scale integration of variable renewable energy sources, and mitigation of the associated power network issues.

History of engineering & technology --- EV charging --- multi-agent system --- digital twin --- customer satisfaction indicator --- smart microgrid --- energy management system --- real-time optimization --- immune system algorithm --- economic dispatch --- energy consumption --- wireless sensor network --- cooperation --- collaboration --- ontology --- energy sector --- scoping review --- decision-aid --- distributed energy resources --- distribution system operator --- reactive power management --- uncertainty --- day-ahead market --- balancing market --- bilateral trading --- market design --- variable renewable energy --- agent-based simulation --- MATREM system --- congestion management --- dynamic tariff --- agent-based distribution networks --- demand response --- routing protocols --- performance parameters --- Wireless Sensor Network (WSN)

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The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond.

hierarchical edge computing --- WSN --- rapid response strategy --- edge node --- fog access points --- cache memory --- convolutional neural network --- proactive caching --- fog computing --- Internet of Things --- service placement --- fog service orchestration --- spectral classification --- portable optical fiber spectrometers --- dew computing --- edge computing --- smartphone --- job scheduling --- scheduling heuristics --- mobile edge computing --- mobile edge server placement --- multiagent RL --- edge security --- offloading computation --- distributed collaboration --- data processing --- dynamic offloading --- IoT --- gateways --- Internet of Things (IoT) --- failure recovery --- FP-Growth algorithm --- association rules --- frequency pattern analysis --- computational offloading --- orchestration --- functional programming --- n/a