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Monitoring oceans and coastal areas has a fundamental social impact, and this scenario is made still more challenging with the present and future issues related to climate change. In this context, radar systems have gained increasing interest, since they are remote sensing devices capable of providing information about sea waves, currents, tides, bathymetry, and wind. Moreover, radar systems can be designed to perform both large-scale and small-scale monitoring, with different spatial and temporal resolutions, and can be installed on different observation platforms (ship-based, ground-based, airborne, satellite or drones). In this regard, this book aims at engendering a virtual forum for ocean radar researchers, where state-of-the-art methodologies and applications concerning ocean monitoring by means of radar technologies are reviewed and discussed.

History of engineering & technology --- HF radar --- monitoring --- circulation --- Atlantic Jet --- flow reversal --- Gibraltar --- Alboran Sea --- X-band radar --- tidal variation --- modified temporal waterline method --- shoreline position --- intertidal foreshore slope --- wave run-up correction --- current velocity measurement --- high-frequency (HF) radar oceanography --- remote sensing --- quality control --- coastal surface currents --- soft computing --- radar --- sensitivity experiments --- numerical model --- artificial neural network --- inversion --- radar cross-section --- monostatic radar --- ocean wave directional spectrum --- TensorFlow --- wave directional spectra --- spatial wave fields --- ADCP --- wave buoy --- significant wave height --- marine radar --- sea state monitoring --- scum --- hypertrophic ecosystem --- Sentinel-1 --- Sentinel-2 --- Sentinel-3 --- cloudiness --- high-frequency ocean radar --- interference mitigation --- frequency band adaptation --- high frequency radar --- sea surface temperature --- surface currents --- south-west Australia --- synthetic aperture radar --- Doppler anomaly --- sea surface currents --- Gulf of Naples --- augmented observatory --- wave field --- radar Doppler altimeter --- orbital velocities --- waveforms --- swell --- radar altimeter --- sea surface current

Choose an application

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

Monitoring oceans and coastal areas has a fundamental social impact, and this scenario is made still more challenging with the present and future issues related to climate change. In this context, radar systems have gained increasing interest, since they are remote sensing devices capable of providing information about sea waves, currents, tides, bathymetry, and wind. Moreover, radar systems can be designed to perform both large-scale and small-scale monitoring, with different spatial and temporal resolutions, and can be installed on different observation platforms (ship-based, ground-based, airborne, satellite or drones). In this regard, this book aims at engendering a virtual forum for ocean radar researchers, where state-of-the-art methodologies and applications concerning ocean monitoring by means of radar technologies are reviewed and discussed.

HF radar --- monitoring --- circulation --- Atlantic Jet --- flow reversal --- Gibraltar --- Alboran Sea --- X-band radar --- tidal variation --- modified temporal waterline method --- shoreline position --- intertidal foreshore slope --- wave run-up correction --- current velocity measurement --- high-frequency (HF) radar oceanography --- remote sensing --- quality control --- coastal surface currents --- soft computing --- radar --- sensitivity experiments --- numerical model --- artificial neural network --- inversion --- radar cross-section --- monostatic radar --- ocean wave directional spectrum --- TensorFlow --- wave directional spectra --- spatial wave fields --- ADCP --- wave buoy --- significant wave height --- marine radar --- sea state monitoring --- scum --- hypertrophic ecosystem --- Sentinel-1 --- Sentinel-2 --- Sentinel-3 --- cloudiness --- high-frequency ocean radar --- interference mitigation --- frequency band adaptation --- high frequency radar --- sea surface temperature --- surface currents --- south-west Australia --- synthetic aperture radar --- Doppler anomaly --- sea surface currents --- Gulf of Naples --- augmented observatory --- wave field --- radar Doppler altimeter --- orbital velocities --- waveforms --- swell --- radar altimeter --- sea surface current

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• EndNote
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This book describes recent efforts in improving intelligent systems for automatic biosignal analysis. It focuses on machine learning and deep learning methods used for classification of different organism states and disorders based on biomedical signals such as EEG, ECG, HRV, and others.

Information technology industries --- sleep stage scoring --- neural network-based refinement --- residual attention --- T-end annotation --- signal quality index --- tSQI --- optimal shrinkage --- emotion --- EEG --- DEAP --- CNN --- surgery image --- disgust --- autonomic nervous system --- electrocardiogram --- galvanic skin response --- olfactory training --- psychophysics --- smell --- wearable sensors --- wine sensory analysis --- accuracy --- convolution neural network (CNN) --- classifiers --- electrocardiography --- k-fold validation --- myocardial infarction --- sensitivity --- sleep staging --- electroencephalography (EEG) --- brain functional connectivity --- frequency band fusion --- phase-locked value (PLV) --- wearable device --- emotional state --- mental workload --- stress --- heart rate --- eye blinks rate --- skin conductance level --- emotion recognition --- electroencephalogram (EEG) --- photoplethysmography (PPG) --- machine learning --- feature extraction --- feature selection --- deep learning --- non-stationarity --- individual differences --- inter-subject variability --- covariate shift --- cross-participant --- inter-participant --- drowsiness detection --- EEG features --- drowsiness classification --- fatigue detection --- residual network --- Mish --- spatial transformer networks --- non-local attention mechanism --- Alzheimer's disease --- fall detection --- event-centered data segmentation --- accelerometer --- window duration --- sleep stage scoring --- neural network-based refinement --- residual attention --- T-end annotation --- signal quality index --- tSQI --- optimal shrinkage --- emotion --- EEG --- DEAP --- CNN --- surgery image --- disgust --- autonomic nervous system --- electrocardiogram --- galvanic skin response --- olfactory training --- psychophysics --- smell --- wearable sensors --- wine sensory analysis --- accuracy --- convolution neural network (CNN) --- classifiers --- electrocardiography --- k-fold validation --- myocardial infarction --- sensitivity --- sleep staging --- electroencephalography (EEG) --- brain functional connectivity --- frequency band fusion --- phase-locked value (PLV) --- wearable device --- emotional state --- mental workload --- stress --- heart rate --- eye blinks rate --- skin conductance level --- emotion recognition --- electroencephalogram (EEG) --- photoplethysmography (PPG) --- machine learning --- feature extraction --- feature selection --- deep learning --- non-stationarity --- individual differences --- inter-subject variability --- covariate shift --- cross-participant --- inter-participant --- drowsiness detection --- EEG features --- drowsiness classification --- fatigue detection --- residual network --- Mish --- spatial transformer networks --- non-local attention mechanism --- Alzheimer's disease --- fall detection --- event-centered data segmentation --- accelerometer --- window duration