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Molecularly imprinted polymers are materials that have voids that are complementary in shape, size, and electronic environment to a specific molecule used for preparation, known as the template. These voids are specific recognition sites that bind the templates preferentially and are used specifically for biomimetic sensors and for solid-phase extraction. Because the specific surface is very important during this process, the use of films and membranes is preferred. This book contains four articles dedicated to sensor application (three research articles and one review) and one research article dedicated to solid-phase extraction.

Technology: general issues --- History of engineering & technology --- Materials science --- sol-gel --- molecularly imprinted films --- bisphenol A --- organosilane monomer --- molecularly imprinted polymer --- optical sensor --- plastic optical fiber --- surface plasmon resonance --- 2-furaldehyde --- vegetable oil --- waste plastic --- polyethylene terephthalate --- electrospinning --- 2-(aminomethyl)pyridine --- adsorption --- copper ion --- nanofibre --- molecularly imprinted layers --- surface polymerization --- electropolymerization --- sol–gel derived techniques --- phase inversion --- electroactive pastes and inks --- amyloid β-42 --- molecularly imprinted polymers --- potentiometric sensor --- Alzheimer biomarker --- n/a --- sol-gel derived techniques

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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.

History of engineering & technology --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student's-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student's-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition

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Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).

NSGA-II --- wind force --- wavelet packet decomposition --- structural health monitoring --- amplitude spectrum --- environmental noise --- patch antenna --- damage identification --- event-triggered sensing --- Particle Swarm Optimization (PSO) algorithm --- high-speed train --- low-velocity impacts --- concrete structures --- sensors distribution optimization --- acceleration --- digital sampling moiré --- crack --- displacement sensor --- length effect --- FBG sensor array --- SHM --- space window --- Bayesian blind source separation --- feature selection --- stress detection --- wheel minor defect --- strain --- uniaxial stress measurement --- turbine --- impact identification --- helical antenna --- energy analysis of wavelet band --- strain wave --- time window --- structural steel members --- steel frame --- acoustoelastic effect --- demand-based nodes --- online wayside detection --- sensor --- bridge --- sensitivity --- acoustic emission --- bending stiffness --- wireless smart sensors --- distributed dense sensor network --- mapping construction --- data fusion --- fuzzy classification --- shear-wave birefringence --- normal mode --- piezoelectric wafer active sensors --- resonant frequency --- electromagnetic oscillation --- settlement --- sensor optimization --- modal frequencies --- perturbation theory --- feature extraction --- Virtual Distortion Method (VDM) --- reflective optical sensor --- fibre bundle --- smartphones --- crack identification --- active sensing --- test vehicle --- calibration --- stretching method --- model updating --- rotary ultrasonic array --- 2D crack growth --- data processing --- damage detection --- impactor stiffness --- tip clearance --- transmission tower --- phase spectrum --- concrete crack --- structural impact monitoring --- shaking table tests --- optical crack growth sensor --- steel strand --- passive sensing --- sudden event monitoring --- aero engine --- principal component analysis

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This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers.

change detection --- NSCT --- variogram function --- structure similarity --- Dongting Lake --- ego-motion estimation --- hand-eye calibration --- IMU --- lidar odometry --- sensor fusion --- texture classification --- Gabor filter --- parameter optimization --- feature selection --- hybrid ant lion optimizer --- wireless multimedia sensor networks --- wildlife monitoring image --- extraction --- Hermite --- adaptive mean-shift --- biomedical imaging --- bone fracture --- calcaneus --- CT image --- segmentation --- zebrafish egg --- microscopy image processing --- convolutional neural network --- digital image correlation --- high-temperature measurement --- heat waves --- thermal disturbance --- background-oriented schlieren --- fermentation monitoring --- quality inspection --- process automation --- deep learning --- superellipsoid model fitting --- optical sensor --- multi-sensor --- face registration --- inner-distance --- Student’s-t Mixtures Model --- image fusion --- continuous casting slabs --- surface defect classification --- discrete non-separable shearlet transform --- gray-level co-occurrence matrix --- kernel spectral regression --- block compressed sensing --- error resilience --- reconstruction --- image completion --- tensor decomposition models --- image interpolation --- image up-scaling --- numerical optimization --- ADAM --- machine learning --- stochastic gradient methods --- healthy and infected lemons --- Hyperspectral image --- Penicillium digitatum pathogen --- lemon skin --- dominant spectral wavelength --- spectral intensity ratio --- zebrafish larva --- microscopy image analysis --- deep neural network --- clustering evaluation --- clustering algorithm --- cluster validity index --- boundary point --- interior point --- radiographic image --- image processing --- feature extraction --- classifier --- defect detection --- generative models --- GAN (Generative adversarial networks) --- facial image --- generation --- database augmentation --- synthesis --- autofocus --- night vision goggles --- sparse and low-rank matrix decomposition --- n/a --- Student's-t Mixtures Model

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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

optical sensor --- spectral analysis --- response surface sampling --- sensor evaluation --- electromagnetic induction --- multivariate water quality parameters --- mandarin orange --- crop inspection platform --- SPA-MLR --- object tracking --- feature selection --- simultaneous measurement --- diseases --- genetic algorithms --- processing of sensed data --- electrochemical sensors --- thermal image --- ECa-directed soil sampling --- handheld --- recognition patterns --- salt concentration --- clover-grass --- bovine embedded hardware --- weed control --- soil --- field crops --- vineyard --- connected dominating set --- water depth sensors --- SS-OCT --- wheat --- striped stem-borer --- silage --- geostatistics --- detection --- NIR hyperspectral imaging --- electronic nose --- machine learning --- virtual organizations of agents --- packing density --- data validation and calibration --- dataset --- Wi-SUN --- temperature sensors --- geoinformatics --- gas sensor --- X-ray fluorescence spectroscopy --- vegetable oil --- photograph-grid method --- Vitis vinifera --- WSN distribution algorithms --- laser-induced breakdown spectroscopy --- irrigation --- quality assessment --- energy efficiency --- wireless sensor network (WSN) --- geo-information --- Fusarium --- texture features --- weeds --- discrimination --- big data --- soil moisture sensors --- meat spoilage --- land cover --- stereo imaging --- near infrared sensors --- biological sensing --- compound sensor --- pest management --- moisture --- plant localization --- heavy metal contamination --- artificial neural networks --- spectral pre-processing --- moisture content --- apparent soil electrical conductivity --- data fusion --- semi-arid regions --- smart irrigation --- back propagation model --- wireless sensor network --- energy balance --- light-beam --- fluorescent measurement --- agriculture --- precision agriculture --- deep learning --- spectroscopy --- hulled barely --- dielectric probe --- RPAS --- water supply network --- rice leaves --- mobile app --- gradient boosted machines --- hyperspectral camera --- one-class --- nitrogen --- LiDAR --- total carbon --- chemometrics analysis --- rice --- agricultural land --- on-line vis-NIR measurement --- CARS --- obstacle detection --- stratification --- neural networks --- regression estimator --- Kinect --- proximity sensing --- distributed systems --- pest --- noninvasive detection --- texture feature --- soil mapping --- classification --- soil salinity --- visible and near-infrared reflectance spectroscopy --- germination --- computer vision --- hyperspectral imaging --- diffusion --- dielectric dispersion --- UAS --- random forests --- case studies --- total nitrogen --- thermal imaging --- cameras --- dry matter composition --- near-infrared --- salt tolerance --- deep convolutional neural networks --- soil type classification --- water management --- preprocessing methods --- wireless sensor networks (WSN) --- remote sensing image classification --- precision plant protection --- radar --- spatial variability --- GF-1 satellite --- plant disease --- naked barley --- leaf area index --- CIE-Lab --- change of support --- radiative transfer model --- 3D reconstruction --- plant phenotyping --- vine --- near infrared --- vegetation indices --- remote sensing --- greenhouse --- time-series data --- scattering --- sensor --- crop area --- speckle --- spatial data --- grapevine breeding --- wide field view --- partial least squares-discriminant analysis --- spiking --- area frame sampling --- chromium content --- machine-learning --- RGB-D sensor --- pest scouting --- PLS --- Capsicum annuum --- spatial-temporal model --- drying temperature --- boron tolerance --- ambient intelligence --- laser wavelength --- fuzzy logic --- dynamic weight --- landslide --- management zones --- real-time processing --- event detection --- crop monitoring --- apple shelf-life --- rice field monitoring --- wireless sensor --- birth sensor --- proximal sensor