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The miniaturization of components in mechanical and electronic equipment has been the driving force for the fast development of micro/nanosystems. Heat and mass transfer are crucial processes in such systems, and they have attracted great interest in recent years. Tremendous effort, in terms of theoretical analyses, experimental measurements, numerical simulation, and practical applications, has been devoted to improve our understanding of complex heat and mass transfer processes and behaviors in such micro/nanosystems. This Special Issue is dedicated to showcasing recent advances in heat and mass transfer in micro- and nanosystems, with particular focus on the development of new models and theories, the employment of new experimental techniques, the adoption of new computational methods, and the design of novel micro/nanodevices. Thirteen articles have been published after peer-review evaluations, and these articles cover a wide spectrum of active research in the frontiers of micro/nanosystems.

Technology: general issues --- History of engineering & technology --- Darcy-Forchheimer theory --- nonlinear stretching --- nanofluid --- magnetohydrodynamics --- convective conditions --- carbon nanotubes --- thermal radiation --- porous cavity --- wavy channels --- nanofluids --- forced convection --- heat enhancement --- pressure drop --- mesh model --- microfluidic --- flow distributions --- fluid network --- microchannel --- heat transfer enhancement --- numerical simulation --- monodisperse droplet generation --- satellite droplets --- piezoelectric method --- droplet coalescence --- lattice Boltzmann method --- inertial migration --- Poiseuille flow --- pulsatile velocity --- loop heat pipe --- deionized water --- two-phase flow --- visualization --- heat transfer experiment --- heat transfer --- porous media --- pore-scale modeling --- boundary condition --- thermal conductivity --- porosity --- conjugate interface --- aspect ratio --- Maxwell nanofluid --- Darcy–Forchheimer model --- chemical reaction --- Brownian diffusion --- wearable device --- microfluidic chip --- sweat collecting --- microfluidics --- liquid metal --- measurement --- temperature monitoring --- PCR --- pin-fins --- wavy pin-fins channel --- performance criterion --- friction factor --- n/a --- Darcy-Forchheimer model

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The Special Issue collects papers showing the progress made in key areas of photogrammetry and remote sensing such as modern and/or forthcoming sensors, improvements in data processing strategies and assessment of their reliability, application of innovations as proof of the contribution offered in the observation of the natural and built environment with better understanding of phenomena at required spatial scale.

VHR tri-stereo satellite imagery --- digital elevation model --- isolated objects --- dense image matching --- change detection --- natural disasters --- deep learning --- threshold selection --- optical flow estimation --- Structure from Motion (SfM) --- 3D reconstruction --- noise estimation --- point clouds --- roughness --- surface reconstruction --- mesh model --- visibility constraints --- volumetric methods --- dense point cloud --- multiple view stereo (MVS) --- dense image matching (DIM) --- photogrammetry --- computer vision --- Copernicus --- Sentinel-1 --- Sentinel-2 --- InSAR --- damage proxy map --- Beirut --- Lebanon --- explosion --- radiometric calibration --- modeling --- geometric error --- high-precision calibration --- n/a --- preprocessing --- enhancement --- point cloud --- image processing --- image histogram --- UAV --- camera calibration --- GNSS-assisted block orientation --- dome effect --- Monte Carlo simulation --- soil moisture content --- artificial neural network --- sample optimization --- synthetic aperture radar --- optical remote sensing image

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The miniaturization of components in mechanical and electronic equipment has been the driving force for the fast development of micro/nanosystems. Heat and mass transfer are crucial processes in such systems, and they have attracted great interest in recent years. Tremendous effort, in terms of theoretical analyses, experimental measurements, numerical simulation, and practical applications, has been devoted to improve our understanding of complex heat and mass transfer processes and behaviors in such micro/nanosystems. This Special Issue is dedicated to showcasing recent advances in heat and mass transfer in micro- and nanosystems, with particular focus on the development of new models and theories, the employment of new experimental techniques, the adoption of new computational methods, and the design of novel micro/nanodevices. Thirteen articles have been published after peer-review evaluations, and these articles cover a wide spectrum of active research in the frontiers of micro/nanosystems.

Technology: general issues --- History of engineering & technology --- Darcy-Forchheimer theory --- nonlinear stretching --- nanofluid --- magnetohydrodynamics --- convective conditions --- carbon nanotubes --- thermal radiation --- porous cavity --- wavy channels --- nanofluids --- forced convection --- heat enhancement --- pressure drop --- mesh model --- microfluidic --- flow distributions --- fluid network --- microchannel --- heat transfer enhancement --- numerical simulation --- monodisperse droplet generation --- satellite droplets --- piezoelectric method --- droplet coalescence --- lattice Boltzmann method --- inertial migration --- Poiseuille flow --- pulsatile velocity --- loop heat pipe --- deionized water --- two-phase flow --- visualization --- heat transfer experiment --- heat transfer --- porous media --- pore-scale modeling --- boundary condition --- thermal conductivity --- porosity --- conjugate interface --- aspect ratio --- Maxwell nanofluid --- Darcy-Forchheimer model --- chemical reaction --- Brownian diffusion --- wearable device --- microfluidic chip --- sweat collecting --- microfluidics --- liquid metal --- measurement --- temperature monitoring --- PCR --- pin-fins --- wavy pin-fins channel --- performance criterion --- friction factor

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The book focuses on the techniques for UAV-based 3D mapping and its applications in varying fields since the explosive development of UAV-based photogrammetric 3D mapping and their wide applications from traditional surveying and mapping to other related fields have been witnessed in photogrammetry and remote sensing. In the last decade, unmanned aerial vehicle (UAV) images have become one of the most important remote sensing data sources for photogrammetric 3D mapping. Besides, the rapid development of recent techniques, e.g., SfM (Structure from Motion) for off-line image orientation, SLAM (Simultaneous Localization and Mapping) for on-line UAV navigation, and the deep learning (DL) embedded 3D reconstruction pipeline, has promoted UAV-based 3D mapping towards the direction of automation and intelligence. It is really worthy to collecting the cutting-edge techniques and reporting their promising applications.

Technology: general issues --- History of engineering & technology --- compound building reconstruction --- LiDAR --- point clouds --- semantic decomposition --- structure from motion --- match pair --- cycle consistency inference --- repetitive structure --- very short baseline --- high-resolution remote sensing images --- building extraction --- multiscale features --- aggregate semantic information --- feature pyramid --- spatial eight-quadrant kernel convolution --- 3D point cloud --- semantic segmentation --- indoor scene --- wide-baseline stereo image --- deep learning --- convolutional neural network --- affine invariant feature --- image matching --- photogrammetric mesh model --- building façade --- 3D reconstruction --- least square fitting --- single image super-resolution --- lightweight image super-resolution --- U-shaped residual network --- dense shortcut --- effective feature distillation --- high-frequency loss --- power lines --- UAV inspection --- red-black propagation --- depth map fusion --- PatchMatch --- digital photogrammetry --- camera self-calibration --- Brown model --- polynomial model --- aerial triangulation --- GF-7 image --- building footprint --- building height --- multi-view --- point cloud --- multi-view reconstruction --- detail preserving --- depth estimation --- surface meshing --- texture mapping --- coplanar extraction --- deep convolutional neural network --- geometric topology --- homography matrix --- airborne LiDAR --- coal mine --- surface subsidence --- deformation detection --- digital subsidence model --- n/a --- building façade

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Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data.

Technology: general issues --- image dehazing --- traffic video dehazing --- dark channel prior --- spatial-temporal correlation --- contrast enhancement --- traffic signal control --- game theory --- decentralized control --- large-scale network control --- railway intrusion detection --- scene segmentation --- scene recognition --- adaptive feature extractor --- convolutional neural networks --- in-cylinder pressure identification --- speed iteration model --- EKF --- frequency modulation --- amplitude modulation --- sensor synchronization --- microscopic traffic data --- trajectory reconstruction --- expectation maximization --- vehicle matching --- artificial neural networks --- metro --- transportation --- user flow forecast --- matrix inversion --- time-varying matrix --- noise problem in time-varying matrix inversion --- recurrent neural network (RNN) --- RNN-based solver --- real-time fast computing --- real-time estimation --- probe vehicle --- traffic density --- neural network --- level of market penetration rate --- deep neural network --- neural artistic extraction --- objectification --- ride comfort --- subjective evaluation --- road surface recognition --- Gaussian background model --- abnormal road surface --- acceleration sensor --- traffic state prediction --- spatio-temporal traffic modeling --- simulation --- machine learning --- hyper parameter optimization --- ITS --- crash risk modeling --- hazardous materials --- highway safety --- operations research --- prescriptive analytics --- shortest path problem --- trucking --- vehicle routing problem --- data visualization --- descriptive analytics --- predictive analytics --- urban rail transit interior noise --- smartphone sensing --- XGBoost classifier --- railway maintenance --- vehicle trajectory prediction --- license plate data --- trip chain --- turning state transit --- route choice behavior --- real world experiment --- Intelligent Transportation Systems (ITS) --- advanced traveler information systems (ATIS) --- connected vehicles --- particle filter --- Kalman filter --- road safety --- travel time information system --- safety performance function --- bicycle sharing systems --- public transport systems --- data-driven classification of trips --- BSS underlying network --- trip index --- automatic rail-surface-scratch recognition and computation --- triangulation algorithm --- complete closed mesh model --- online rail-repair --- autonomous vehicle --- obstacle avoidance --- artificial potential field --- model predictive control --- human-like --- variable speed limits --- intelligent transportation systems --- ITS services --- driving simulator studies --- traffic modelling --- surrogate safety measures --- driving safety --- driving emotions --- driving stress --- lifestyle --- sensors --- heart rate --- plate scanning --- low-cost sensor --- sensor location problem --- traffic flow estimation --- n/a