Choose an application

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

As climate-change- and human-induced floods inflict increasing costs upon the planet, both in terms of lives and environmental damage, flood monitoring tools derived from remote sensing platforms have undergone improvements in their performance and capabilities in terms of spectral, spatial and temporal extents and resolutions. Such improvements raise new challenges connected to data analysis and interpretation, in terms of, e.g., effectively discerning the presence of floodwaters in different land-cover types and environmental conditions or refining the accuracy of detection algorithms. In this sense, high expectations are placed on new methods that integrate information obtained from multiple techniques, platforms, sensors, bands and acquisition times. Moreover, the assessment of such techniques strongly benefits from collaboration with hydrological and/or hydraulic modeling of the evolution of flood events. The aim of this Special Issue is to provide an overview of recent advancements in the state of the art of flood monitoring methods and techniques derived from remotely sensed data.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- mobile mapping system --- RRI model --- high-water marks --- inundation --- Northern Kyushu floods --- point clouds --- flood mapping --- temporary flooded vegetation (TFV) --- Sentinel-1 --- time series data --- Synthetic Aperture Radar (SAR) --- sentinel-1 --- SAR --- flood --- image classification --- clustering --- monsoon --- Philippines --- LiDAR --- geometric parameters --- levee stability --- overtopping --- Pearl River Delta --- CYGNSS --- flood detection --- Sistan and Baluchestan --- GNSS-R --- flood monitoring --- ALOS 2 --- multi-sensor integration --- multi-temporal inundation analysis --- Zambesi-Shire river basin --- image processing --- hydrology --- synthetic aperture radar --- mobile mapping system --- RRI model --- high-water marks --- inundation --- Northern Kyushu floods --- point clouds --- flood mapping --- temporary flooded vegetation (TFV) --- Sentinel-1 --- time series data --- Synthetic Aperture Radar (SAR) --- sentinel-1 --- SAR --- flood --- image classification --- clustering --- monsoon --- Philippines --- LiDAR --- geometric parameters --- levee stability --- overtopping --- Pearl River Delta --- CYGNSS --- flood detection --- Sistan and Baluchestan --- GNSS-R --- flood monitoring --- ALOS 2 --- multi-sensor integration --- multi-temporal inundation analysis --- Zambesi-Shire river basin --- image processing --- hydrology --- synthetic aperture radar

Choose an application

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

Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media.

Technology: general issues --- History of engineering & technology --- deep learning --- user preference learning --- feature fusion --- similar user recommendation --- convolutional neural network --- image classification --- electronic health records --- fair exchange --- forward secrecy --- raw material --- mining --- terminology --- dictionary --- terminology application --- mobile application --- digitization --- lexical data --- corpus data --- linguistic linked open data --- neuro-fuzzy --- prediction model --- air pollution --- PM2.5 --- PM10 --- self-attention mechanism --- graph neural network --- data mining --- behaviour sequence pattern --- behaviour network --- water crystal --- fine-tuning --- supervised --- classification --- combined classification model --- deep transfer learning --- focal-segmental --- kidney disease --- kidney glomeruli --- medical image --- sclerosed glomeruli --- predictive analytics --- Internet of Things --- peasant farming --- smart farming system --- crop production prediction

Choose an application

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

Photonics has had a decisive influence on recent scientific and technological achievements. It includes aspects of photon generation and photon–matter interaction. Although it finds many applications in the whole optical range of the wavelengths, most solutions operate in the visible and infrared range. Since the invention of the laser, a source of highly coherent optical radiation, optical measurements have become the perfect tool for highly precise and accurate measurements. Such measurements have the additional advantages of requiring no contact and a fast rate suitable for in-process metrology. However, their extreme precision is ultimately limited by, e.g., the noise of both lasers and photodetectors. The Special Issue of the Applied Science is devoted to the cutting-edge uses of optical sources, detectors, and optoelectronics systems in numerous fields of science and technology (e.g., industry, environment, healthcare, telecommunication, security, and space). The aim is to provide detail on state-of-the-art photonic technology for precision metrology and identify future developmental directions. This issue focuses on metrology principles and measurement instrumentation in optical technology to solve challenging engineering problems.

infrared thermometer --- mid-wave infrared --- indium arsenide antimony photodiode --- uncooled thermometer --- fibreoptic coupling --- chopper stabilised op-amp --- zero-drift pre-amplifier --- ammonia detection --- NH3 --- MOX sensors --- polymer sensors --- laser absorption spectroscopy --- CRDS --- CEAS --- MUPASS --- PAS --- HOT IR detectors --- HgCdTe --- P-i-N --- BLIP condition --- 2D material photodetectors --- colloidal quantum dot photodetectors --- low-light photodetectors --- fluorescence microscopy --- time-resolved fluorescence microscopy --- hybrid photodetector (HPD) --- single-molecule fluorescence detection --- fourier ptychography --- image classification --- deep learning --- neural network --- electro-optic modulator --- frequency modulation --- displacement measuring interferometer --- quantum cascade laser --- laser controller --- infrared modulator --- laser spectroscopy --- free space optics --- photonic metrology --- accuracy --- precision --- resolution --- FTIR --- absorption spectroscopy --- gas sensors --- optoelectronic sensors

Choose an application

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

Using hyperspectral imaging (HSI) to exploit data has been found in a wide variety of applications. This reprint book only presents a small glimpse of it. Many other important applications using HSI which have emerged in data exploitation are not covered in this reprint book. For example, such applications may include water pollution and toxic waste in environmental monitoring, pesticide residual detection in food safety and inspection, plant and crop disease detection in agriculture, tumor detection and breast cancer detection in medical imaging, drug traffic in law enforcement, etc. Nevertheless, this reprint book provides many techniques which may find their ways in these applications as well.

Technology: general issues --- History of engineering & technology --- hyperspectral image few-shot classification --- deep learning --- meta-learning --- relation network --- convolutional neural network --- constrained-target optimal index factor band selection (CTOIFBS) --- hyperspectral image --- underwater spectral imaging system --- underwater hyperspectral target detection --- band selection (BS) --- constrained energy minimization (CEM) --- lightweight convolutional neural networks --- hyperspectral imagery classification --- transfer learning --- air temperature --- spatial measurement --- FTIR --- MWIR --- carbon dioxide absorption --- target detection --- coffee beans --- insect damage --- hyperspectral imaging --- band selection --- visualization --- color formation models --- multispectral image --- image fusion --- joint tensor decomposition --- anomaly detection --- constrained sparse representation --- hyperspectral imagery --- moving target detection --- spatio-temporal processing --- hyperspectral remote sensing --- image classification --- constraint representation --- superpixel segmentation --- multiscale decision fusion --- plug-and-play --- denoising --- nonlinear unmixing --- spectral reconstruction --- residual augmented attentional u-shape network --- spatial augmented attention --- channel augmented attention --- boundary-aware constraint --- atmospheric transmittance --- temperature --- emissivity --- separation --- midwave infrared --- hyperspectral images --- hyperspectral image super-resolution --- data fusion --- spectral-spatial residual network --- self-supervised training --- hyperspectral --- vegetation --- generative adversarial network --- data augmentation --- classification --- rice leaf blast --- hyperspectral imaging data --- deep convolutional neural networks --- fused features --- evolutionary computation --- heuristic algorithms --- machine learning --- unmanned aerial vehicles (UAVs) --- vegetation mapping --- upland swamps --- mine environment --- rice --- rice leaf folder --- hyperspectral image classification --- change detection --- self-supervised learning --- attention mechanism --- multi-source image fusion --- SFIM --- least square estimation --- spatial filter --- hyperspectral imaging (HSI) --- hyperspectral target detection --- hyperspectral reconstruction --- hyperspectral unmixing

Choose an application

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

This book reprints articles from the Special Issue "Industrial Applications: New Solutions for the New Age" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of twelve published articles. This special edition belongs to the "Mechatronic and Intelligent Machines" section.

Technology: general issues --- History of engineering & technology --- induction machines --- electrical machines --- vector control --- SVPWM modulation --- frequency inverter --- artificial intelligence --- photovoltaics --- fault detection --- machine learning --- operation and maintenance --- renewable energy --- water-in-crude oil emulsion --- water content --- ultrasound --- propagation velocity --- exoskeletons --- test bench --- industry --- benchmarking --- microgrid model-based systems engineering --- service systems --- goal-oriented requirements engineering --- safety instrumented system --- ventricular assist device Bayesian network --- Petri net --- control strategy --- UAV --- fuzzy --- PID controller --- ROS --- Industry 4.0 --- database --- data models --- big data and analytics --- asset administration shell --- MLOps --- digital twin --- IoT --- prediction --- coordinate metrology --- optical scanning --- noise reduction --- digital manufacturing --- integrated inspection system --- data analytics --- uncertainty --- convolutional neural networks --- warehouse management --- image classification --- ensemble learning --- synthetic data --- depth image --- electrical maintenance --- COVID-19 --- thermography --- fever --- computer vision --- intelligent systems --- induction machines --- electrical machines --- vector control --- SVPWM modulation --- frequency inverter --- artificial intelligence --- photovoltaics --- fault detection --- machine learning --- operation and maintenance --- renewable energy --- water-in-crude oil emulsion --- water content --- ultrasound --- propagation velocity --- exoskeletons --- test bench --- industry --- benchmarking --- microgrid model-based systems engineering --- service systems --- goal-oriented requirements engineering --- safety instrumented system --- ventricular assist device Bayesian network --- Petri net --- control strategy --- UAV --- fuzzy --- PID controller --- ROS --- Industry 4.0 --- database --- data models --- big data and analytics --- asset administration shell --- MLOps --- digital twin --- IoT --- prediction --- coordinate metrology --- optical scanning --- noise reduction --- digital manufacturing --- integrated inspection system --- data analytics --- uncertainty --- convolutional neural networks --- warehouse management --- image classification --- ensemble learning --- synthetic data --- depth image --- electrical maintenance --- COVID-19 --- thermography --- fever --- computer vision --- intelligent systems