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Sensor technology for monitoring vital signs is an important topic for various service applications, such as entertainment and personalization platforms and Internet of Things (IoT) systems, as well as traditional medical purposes, such as disease indication judgments and predictions. Vital signs for monitoring include respiration and heart rates, body temperature, blood pressure, oxygen saturation, electrocardiogram, blood glucose concentration, brain waves, etc. Gait and walking length can also be regarded as vital signs because they can indirectly indicate human activity and status. Sensing technologies include contact sensors such as electrocardiogram (ECG), electroencephalogram (EEG), photoplethysmogram (PPG), non-contact sensors such as ballistocardiography (BCG), and invasive/non-invasive sensors for diagnoses of variations in blood characteristics or body fluids. Radar, vision, and infrared sensors can also be useful technologies for detecting vital signs from the movement of humans or organs. Signal processing, extraction, and analysis techniques are important in industrial applications along with hardware implementation techniques. Battery management and wireless power transmission technologies, the design and optimization of low-power circuits, and systems for continuous monitoring and data collection/transmission should also be considered with sensor technologies. In addition, machine-learning-based diagnostic technology can be used for extracting meaningful information from continuous monitoring data.

cardiopulmonary resuscitation (CPR) --- electroencephalogram (EEG) --- hemodynamic data --- carotid blood flow (CBF) --- cerebral circulation --- frequency-shift keying radar --- cross-correlation --- envelope detection --- continuous-wave radar --- frequency discrimination --- vital-signs monitoring --- heartbeat accuracy improvement --- heartbeat detection --- absolute distance measurement --- radar signal processing --- 3D+t modeling --- coronary artery --- non-rigid registration --- cage deformation --- 4D CT --- passenger detection --- CW radar --- radar feature vector --- radar machine learning --- wearable sensors --- physiology --- medical monitoring --- vital signs --- compensatory reserve --- ultra-high resolution --- cone-beam computed tomography --- low-contrast object --- optimal filter --- modulation transfer function --- noise power spectrum --- doppler cardiogram --- wavelet transform --- denoising --- mother wavelet function --- decomposition level --- signal decomposition --- signal-to-noise-ratio

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Animal production (e.g., milk, meat, and eggs) provides valuable protein production for human beings and animals. However, animal production is facing several challenges worldwide such as environmental impacts and animal welfare/health concerns. In animal farming operations, accurate and efficient monitoring of animal information and behavior can help analyze the health and welfare status of animals and identify sick or abnormal individuals at an early stage to reduce economic losses and protect animal welfare. In recent years, there has been growing interest in animal welfare. At present, sensors, big data, machine learning, and artificial intelligence are used to improve management efficiency, reduce production costs, and enhance animal welfare. Although these technologies still have challenges and limitations, the application and exploration of these technologies in animal farms will greatly promote the intelligent management of farms. Therefore, this Special Issue will collect original papers with novel contributions based on technologies such as sensors, big data, machine learning, and artificial intelligence to study animal behavior monitoring and recognition, environmental monitoring, health evaluation, etc., to promote intelligent and accurate animal farm management.

pig weight --- body size --- estimation --- deep learning --- convolutional neural network --- pig identification --- mask scoring R-CNN --- soft-NMS --- group-housed pigs --- audio --- dairy cow --- mastication --- jaw movement --- forage management --- precision livestock management --- equine behavior --- wearable sensor --- intermodality interaction --- class-balanced focal loss --- absorbing Markov chain --- cow behavior analysis --- prediction of calving time --- cow identification --- EfficientDet --- YOLACT++ --- cascaded model --- instance segmentation --- generative adversarial network --- machine learning --- automated medical image processing --- deep neural network --- animal science --- CT scans --- computer vision --- cow --- extensive livestock --- sensorized wearable device --- monitoring --- parturition prediction --- radar sensors --- radar signal processing --- animal farming --- computational ethology --- signal classification --- wavelet analysis --- dairy welfare --- hierarchical clustering --- mutual information --- precision livestock farming --- time budgets --- unsupervised machine learning --- wearables design --- animal-centered design --- animal telemetry --- modularity --- smart collar --- design contributions --- additive manufacturing --- low-frequency tracking --- commercial aviary --- laying hens --- false registrations --- tree-based classifier --- animal behaviour

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The aim of this Printed Edition of Special Issue entitled "Recent Advancements in Radar Imaging and Sensing Technology” was to gather the latest research results in the area of modern radar technology using active and/or radar imaging sensing techniques in different applications, including both military use and a broad spectrum of civilian applications. As a result, the 19 papers that have been published highlighted a variety of topics related to modern radar imaging and microwave sensing technology. The sequence of articles included in the Printed Edition of Special Issue dealt with wide aspects of different applications of radar imaging and sensing technology in the area of topics including high-resolution radar imaging, novel Synthetic Apertura Radar (SAR) and Inverse SAR (ISAR) imaging techniques, passive radar imaging technology, modern civilian applications of using radar technology for sensing, multiply-input multiply-output (MIMO) SAR imaging, tomography imaging, among others.

Technology: general issues --- microwave staring correlated imaging (MSCI) --- gain–phase errors --- strip --- self-calibration --- distributed MIMO radar --- target localization --- double-sided bistatic range (BR) --- microwave staring correlated imaging --- unsteady aerostat platform --- motion parameter fitting --- position error --- radar imaging --- synthetic aperture radar --- compressed sensing --- sparse reconstruction --- regularization --- passive forward scattering radar --- chirp rate estimation --- passive radar --- forward scattering radar --- radar measurements --- time-frequency analysis --- bistatic synthetic aperture radar (SAR) --- hyperbolic approximation --- phase compensation --- modified omega-K --- ground-penetrating radar --- noise suppression --- singular value decomposition --- Hankel matrix --- window length optimization --- synthetic aperture radar (SAR) --- high resolution wide swath (HRWS) --- azimuth multichannel reconstruction --- phase center adaptation --- false targets suppression --- damped exponential (DE) model --- inverse synthetic aperture radar (ISAR) --- radar signatures --- state–space approach (SSA) --- sparse representation --- polarimetric --- SAR tomography --- MIMO radar --- noise radar --- radar signal processing techniques --- analogue correlation --- modern radar applications --- delay line --- high pulse repetition frequency (HPRF) --- random frequency hopping (RFH) --- hypersonic aircraft --- SAR --- Synthetic Aperture Radar --- ASIFT --- Despeckling Filter --- Navigation --- Structure from Motion --- Iterative Closest Point --- radar tomography --- compressive sensing --- bistatic radar --- parameter-refined orthogonal matching pursuit (PROMP) --- orthogonal matching pursuit (OMP) --- k-space tomography --- narrowband radar --- off-grid compressive sensing --- slow-time k-space --- spatial frequency --- Doppler radar tomography --- k-space augmentation --- high-resolution narrowband radar --- multiband processing --- bandwidth stitching --- multi-scale representation learning (MSRL) --- pyramid pooling module (PPM) --- compact depth-wise separable convolution (CSeConv) --- convolution auto-encoder (CAE) --- object classification --- CARABAS II --- ground scene prediction --- image stack --- multi-pass --- SAR images --- moving targets --- inverse SAR (ISAR) --- motion compensation --- hybrid SAR/ISAR --- improved rank-one phase estimation (IROPE) --- Gaofen-3 (GF-3) --- assive radar --- time-frequency reassignment

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The aim of this Printed Edition of Special Issue entitled "Recent Advancements in Radar Imaging and Sensing Technology” was to gather the latest research results in the area of modern radar technology using active and/or radar imaging sensing techniques in different applications, including both military use and a broad spectrum of civilian applications. As a result, the 19 papers that have been published highlighted a variety of topics related to modern radar imaging and microwave sensing technology. The sequence of articles included in the Printed Edition of Special Issue dealt with wide aspects of different applications of radar imaging and sensing technology in the area of topics including high-resolution radar imaging, novel Synthetic Apertura Radar (SAR) and Inverse SAR (ISAR) imaging techniques, passive radar imaging technology, modern civilian applications of using radar technology for sensing, multiply-input multiply-output (MIMO) SAR imaging, tomography imaging, among others.

Technology: general issues --- microwave staring correlated imaging (MSCI) --- gain–phase errors --- strip --- self-calibration --- distributed MIMO radar --- target localization --- double-sided bistatic range (BR) --- microwave staring correlated imaging --- unsteady aerostat platform --- motion parameter fitting --- position error --- radar imaging --- synthetic aperture radar --- compressed sensing --- sparse reconstruction --- regularization --- passive forward scattering radar --- chirp rate estimation --- passive radar --- forward scattering radar --- radar measurements --- time-frequency analysis --- bistatic synthetic aperture radar (SAR) --- hyperbolic approximation --- phase compensation --- modified omega-K --- ground-penetrating radar --- noise suppression --- singular value decomposition --- Hankel matrix --- window length optimization --- synthetic aperture radar (SAR) --- high resolution wide swath (HRWS) --- azimuth multichannel reconstruction --- phase center adaptation --- false targets suppression --- damped exponential (DE) model --- inverse synthetic aperture radar (ISAR) --- radar signatures --- state–space approach (SSA) --- sparse representation --- polarimetric --- SAR tomography --- MIMO radar --- noise radar --- radar signal processing techniques --- analogue correlation --- modern radar applications --- delay line --- high pulse repetition frequency (HPRF) --- random frequency hopping (RFH) --- hypersonic aircraft --- SAR --- Synthetic Aperture Radar --- ASIFT --- Despeckling Filter --- Navigation --- Structure from Motion --- Iterative Closest Point --- radar tomography --- compressive sensing --- bistatic radar --- parameter-refined orthogonal matching pursuit (PROMP) --- orthogonal matching pursuit (OMP) --- k-space tomography --- narrowband radar --- off-grid compressive sensing --- slow-time k-space --- spatial frequency --- Doppler radar tomography --- k-space augmentation --- high-resolution narrowband radar --- multiband processing --- bandwidth stitching --- multi-scale representation learning (MSRL) --- pyramid pooling module (PPM) --- compact depth-wise separable convolution (CSeConv) --- convolution auto-encoder (CAE) --- object classification --- CARABAS II --- ground scene prediction --- image stack --- multi-pass --- SAR images --- moving targets --- inverse SAR (ISAR) --- motion compensation --- hybrid SAR/ISAR --- improved rank-one phase estimation (IROPE) --- Gaofen-3 (GF-3) --- assive radar --- time-frequency reassignment