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This book provides unique perspectives on the state of the art in multispectral/hyperspectral techniques for early-warning monitoring against chemical, biological and radiological (CB&R) contamination of both surface (e.g. land) and air (e.g. atmospheric) environments through the presentation of a comprehensive survey of the novel spectroscopic methodologies and technologies that are emerging to address the CB&R defense and security challenges of the future. The technical content in this book lends itself to the non-traditional requirements for point and stand-off detection that have evolved out of the US joint services programs over many years. In particular, the scientific and technological work presented seeks to enable hyperspectral-based sensing and monitoring that is in real time and in-line; low in cost and labor requirements; and easy to support, maintain and use in military and security-relevant scenarios.--Publisher's description.

Environmental monitoring --- Radioactive pollution --- Chemical detectors --- Chemical terrorism --- Biological weapons --- Spectrum analysis --- Remote sensing --- Prevention --- ISSSR --- Spectral sensing research --- Radiological defense applications --- Security applications --- Biological applications --- Air monitoring

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Analysis imposes substantial challenges, especially when dealing with analytes present at trace levels in complex matrices. Although modern instrumentation has simplified analyses and makes them more reliable, its use is only the last step of the whole analytical process. On the other hand, sample preparation still represents the bottleneck in many analytical methods and often requires the use of extensive protocols before instrumental analysis. Solid-phase microextraction (SPME) is a well-established sample-prep technique for simultaneous extraction and pre-concentration of compounds from a variety of matrices. Given its compliance with the principles of green analytical chemistry, as well as the simplicity, versatility, and availability of different formats, SPME addresses several challenges associated with the traditional sample preparation approaches and allows for a substantial streamlining of the analytical workflow. This book is the reprint of a Special Issue that includes six contributions provided by some of the world’s leading research groups in the field and focuses on recent advances in solid-phase microextraction.

in-tube solid phase microextraction (IT-SPME) --- SiO2 nanoparticles --- TiO2 nanoparticles --- capillary liquid chromatography --- nano-liquid chromatography --- solid-phase microextraction --- metal–organic framework --- crystalline nanostructures --- nanomaterials --- analytical chemistry --- coatings --- microextraction devices --- sample preparation --- SPME --- gas chromatography --- air monitoring --- volatile organic compounds --- fiber selection --- solid phase microextraction (SPME) --- air analysis --- environmental waters analysis --- soil analysis --- food monitoring --- on-site sampling --- human biomonitoring (HBM) --- chromatography --- ambient mass spectrometry --- ultra-trace analysis --- green chemistry --- circular economy --- natural products --- sorbents --- cork --- cotton --- pollen --- seeds --- paper --- wood --- in vivo extraction --- tissue analysis --- cells --- simple organisms --- n/a --- metal-organic framework

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Advanced intelligent (ADI) control through Versatile Intelligent Portable (VIP) Platforms is a rapidly developing, complex, challenging field with great practical importance and potential. ADI control is an interdisciplinary field which combines and extends theories and methods from control theory, computer science, and operations research areas with the aim of developing controllers that are highly adaptable to significant unanticipated changes. Deep research and communicating new trends in the design, control, and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this book. Innovative multi-sensor fusion techniques, integrated through VIP platforms, are developed and combined with computer vision, virtual and augmented reality (VR&AR), and intelligent communication, including remote control, adaptive sensor networks, human–robot (H2R) interaction systems, and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough set-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision-based DSS, and sensory and robotic DSS are highlighted in the field of advanced intelligent control. Approaching new technologies using advanced intelligent control through versatile intelligent portable platforms involves complex multidisciplinary research covering enhanced IoT technologies and applications in the 5G densification era, bio-inspired techniques in future manufacturing enterprise control, cyberphysical systems approach to cognitive enterprise, developing the IT Industry 4.0 concept, industrial systems in the digital age, cloud computing, robotics, and automation with applications such as human aid mechatronics moving in unstructured and uneven environments, rescue robots, firefighting robots, rehabilitation robots, robot-assisted surgery, and domestic robots.

History of engineering & technology --- Passive Brain Signals --- adaptive automation and controller --- EOG artifact --- independent component analysis --- engagement index --- lower limb --- rehabilitation robot --- motion intention acquisition --- static torque sensor --- quadcopter --- drone --- pollutant --- carbon --- air monitoring --- kernel --- cyber-physical systems --- intelligent cyber enterprise --- systems interface --- user experience --- accessibility --- autism spectrum disorder --- game-based learning --- systematic literature review --- exoskeleton hand --- fractional order model --- control --- human–robot interaction --- training task --- multi-sensor system --- quantum particle swarm optimization --- support vector machines --- microinjection sensor --- PDMS capillary --- micro-wire --- picolitre volume measurement --- MPWM microfluidic transport --- β-Ga2O3 --- nanowires --- oxidation --- silver catalyst --- electrical conductivity --- photodetector --- automatic distortion rectification --- wide-angle lens --- fish-eye lens --- advanced driver-assistance system (ADAS) --- video-surveillance --- vision tasks --- connected bike --- smart technologies --- IoT --- personalized training --- embedded --- back-end --- front-end --- Android --- modules --- MQTT --- monitoring --- 3D scanning --- 3D shape reconstruction --- RGB-D sensors --- imperfect data --- hybrid neural networks --- computer vision --- deep learning --- convolutional neural networks --- advanced intelligent control --- facial emotion recognition --- face recognition --- NAO robot --- critical infrastructures --- positioning system --- optical measurements --- fiducial markers --- adaptive kalman --- measurement fusion --- software sensor data --- machine-learning classifier --- smartphone security --- intelligent control --- robot control intelligent sensor systems --- intelligent decision support systems --- versatile intelligent portable platforms --- new technologies --- adaptive sensor networks --- virtual and augmented reality --- intelligent remote control and communication --- Passive Brain Signals --- adaptive automation and controller --- EOG artifact --- independent component analysis --- engagement index --- lower limb --- rehabilitation robot --- motion intention acquisition --- static torque sensor --- quadcopter --- drone --- pollutant --- carbon --- air monitoring --- kernel --- cyber-physical systems --- intelligent cyber enterprise --- systems interface --- user experience --- accessibility --- autism spectrum disorder --- game-based learning --- systematic literature review --- exoskeleton hand --- fractional order model --- control --- human–robot interaction --- training task --- multi-sensor system --- quantum particle swarm optimization --- support vector machines --- microinjection sensor --- PDMS capillary --- micro-wire --- picolitre volume measurement --- MPWM microfluidic transport --- β-Ga2O3 --- nanowires --- oxidation --- silver catalyst --- electrical conductivity --- photodetector --- automatic distortion rectification --- wide-angle lens --- fish-eye lens --- advanced driver-assistance system (ADAS) --- video-surveillance --- vision tasks --- connected bike --- smart technologies --- IoT --- personalized training --- embedded --- back-end --- front-end --- Android --- modules --- MQTT --- monitoring --- 3D scanning --- 3D shape reconstruction --- RGB-D sensors --- imperfect data --- hybrid neural networks --- computer vision --- deep learning --- convolutional neural networks --- advanced intelligent control --- facial emotion recognition --- face recognition --- NAO robot --- critical infrastructures --- positioning system --- optical measurements --- fiducial markers --- adaptive kalman --- measurement fusion --- software sensor data --- machine-learning classifier --- smartphone security --- intelligent control --- robot control intelligent sensor systems --- intelligent decision support systems --- versatile intelligent portable platforms --- new technologies --- adaptive sensor networks --- virtual and augmented reality --- intelligent remote control and communication

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Advanced intelligent (ADI) control through Versatile Intelligent Portable (VIP) Platforms is a rapidly developing, complex, challenging field with great practical importance and potential. ADI control is an interdisciplinary field which combines and extends theories and methods from control theory, computer science, and operations research areas with the aim of developing controllers that are highly adaptable to significant unanticipated changes. Deep research and communicating new trends in the design, control, and applications of the real time control of intelligent sensors systems using advanced intelligent control methods and techniques is the main purpose of this book. Innovative multi-sensor fusion techniques, integrated through VIP platforms, are developed and combined with computer vision, virtual and augmented reality (VR&AR), and intelligent communication, including remote control, adaptive sensor networks, human–robot (H2R) interaction systems, and machine-to-machine (M2M) interfaces. Intelligent decision support systems (IDSS), including remote sensing, and their integration with DSS, GA-based DSS, fuzzy sets DSS, rough set-based DSS, intelligent agent-assisted DSS, process mining integration into decision support, adaptive DSS, computer vision-based DSS, and sensory and robotic DSS are highlighted in the field of advanced intelligent control. Approaching new technologies using advanced intelligent control through versatile intelligent portable platforms involves complex multidisciplinary research covering enhanced IoT technologies and applications in the 5G densification era, bio-inspired techniques in future manufacturing enterprise control, cyberphysical systems approach to cognitive enterprise, developing the IT Industry 4.0 concept, industrial systems in the digital age, cloud computing, robotics, and automation with applications such as human aid mechatronics moving in unstructured and uneven environments, rescue robots, firefighting robots, rehabilitation robots, robot-assisted surgery, and domestic robots.

Passive Brain Signals --- adaptive automation and controller --- EOG artifact --- independent component analysis --- engagement index --- lower limb --- rehabilitation robot --- motion intention acquisition --- static torque sensor --- quadcopter --- drone --- pollutant --- carbon --- air monitoring --- kernel --- cyber-physical systems --- intelligent cyber enterprise --- systems interface --- user experience --- accessibility --- autism spectrum disorder --- game-based learning --- systematic literature review --- exoskeleton hand --- fractional order model --- control --- human–robot interaction --- training task --- multi-sensor system --- quantum particle swarm optimization --- support vector machines --- microinjection sensor --- PDMS capillary --- micro-wire --- picolitre volume measurement --- MPWM microfluidic transport --- β-Ga2O3 --- nanowires --- oxidation --- silver catalyst --- electrical conductivity --- photodetector --- automatic distortion rectification --- wide-angle lens --- fish-eye lens --- advanced driver-assistance system (ADAS) --- video-surveillance --- vision tasks --- connected bike --- smart technologies --- IoT --- personalized training --- embedded --- back-end --- front-end --- Android --- modules --- MQTT --- monitoring --- 3D scanning --- 3D shape reconstruction --- RGB-D sensors --- imperfect data --- hybrid neural networks --- computer vision --- deep learning --- convolutional neural networks --- advanced intelligent control --- facial emotion recognition --- face recognition --- NAO robot --- critical infrastructures --- positioning system --- optical measurements --- fiducial markers --- adaptive kalman --- measurement fusion --- software sensor data --- machine-learning classifier --- smartphone security --- intelligent control --- robot control intelligent sensor systems --- intelligent decision support systems --- versatile intelligent portable platforms --- new technologies --- adaptive sensor networks --- virtual and augmented reality --- intelligent remote control and communication