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The use of unmanned aerial vehicles (UAVs) plays an important role in supporting human activities. Man is concentrating more and more on intellectual work, and trying to automate practical activities as much as possible in order to increase their efficiency. In this regard, the use of drones is increasingly becoming a key aspect of this automation process, offering many advantages, including agility, efficiency and reduced risk, especially in dangerous missions. Hence, this Special Issue focuses on applications, platforms and services where UAVs can be used as facilitators for the task at hand, also keeping in mind that security should be addressed from its different perspectives, ranking from communications security to operational security, and furthermore considering privacy issues.

History of engineering & technology --- computer vision --- oil well working condition --- real-time detection --- sort --- unmanned aerial vehicle (UAV) --- YOLOv3 --- UAV --- autonomous landing --- vision-based --- ArduSim --- ArUco marker --- blind signature --- security --- MEC --- UAVs --- FANET --- 5G --- IoT --- Mutual authentication --- Privacy --- Traceable --- BAN logic --- coverage model --- human mobility model --- UAVs/drones positioning --- energy model --- UAS --- horizon --- undistortion --- FPGA --- sense-and-avoid --- LoRaWAN --- Unmanned Aerial Vehicles --- topology control --- virtual spring forces --- firefighting communications --- computer vision --- oil well working condition --- real-time detection --- sort --- unmanned aerial vehicle (UAV) --- YOLOv3 --- UAV --- autonomous landing --- vision-based --- ArduSim --- ArUco marker --- blind signature --- security --- MEC --- UAVs --- FANET --- 5G --- IoT --- Mutual authentication --- Privacy --- Traceable --- BAN logic --- coverage model --- human mobility model --- UAVs/drones positioning --- energy model --- UAS --- horizon --- undistortion --- FPGA --- sense-and-avoid --- LoRaWAN --- Unmanned Aerial Vehicles --- topology control --- virtual spring forces --- firefighting communications

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The use of unmanned aerial vehicles (UAVs) plays an important role in supporting human activities. Man is concentrating more and more on intellectual work, and trying to automate practical activities as much as possible in order to increase their efficiency. In this regard, the use of drones is increasingly becoming a key aspect of this automation process, offering many advantages, including agility, efficiency and reduced risk, especially in dangerous missions. Hence, this Special Issue focuses on applications, platforms and services where UAVs can be used as facilitators for the task at hand, also keeping in mind that security should be addressed from its different perspectives, ranking from communications security to operational security, and furthermore considering privacy issues.

computer vision --- oil well working condition --- real-time detection --- sort --- unmanned aerial vehicle (UAV) --- YOLOv3 --- UAV --- autonomous landing --- vision-based --- ArduSim --- ArUco marker --- blind signature --- security --- MEC --- UAVs --- FANET --- 5G --- IoT --- Mutual authentication --- Privacy --- Traceable --- BAN logic --- coverage model --- human mobility model --- UAVs/drones positioning --- energy model --- UAS --- horizon --- undistortion --- FPGA --- sense-and-avoid --- LoRaWAN --- Unmanned Aerial Vehicles --- topology control --- virtual spring forces --- firefighting communications --- n/a

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Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining.

crisis reporting --- chatbots --- journalists --- news media --- COVID-19 --- textbook research --- digital humanities --- digital infrastructures --- data analysis --- content base image retrieval --- semantic information retrieval --- deep features --- multimedia document retrieval --- data science --- open government data --- governance and social institutions --- economic determinants of open data --- geoinformation technology --- fractal dimension --- territorial road network --- box-counting framework --- script Python --- ArcGIS --- internet of things --- LoRaWAN --- ICT --- The Things Network --- ESP32 microcontroller --- decision systems --- rule based systems --- databases --- rough sets --- prediction by partial matching --- spatio-temporal --- activity recognition --- smart homes --- artificial intelligence --- automation --- e-commerce --- machine learning --- big data --- customer relationship management (CRM) --- distracted driving --- driving behavior --- driving operation area --- data augmentation --- feature extraction --- authorship --- text mining --- attribution --- neural networks --- deep learning --- forensic intelligence --- dashboard --- WebGIS --- data analytics --- SARS-CoV-2 --- Big Data --- Web Intelligence --- media analytics --- social sciences --- humanities --- linked open data --- adaptation process --- interdisciplinary research --- media criticism --- classification --- information systems --- public health --- data mining --- ioCOVID19 --- n/a

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The rapid development of advanced, arguably, intelligent sensors and their massive deployment provide a foundation for new paradigms to combat the challenges that arise in significant tasks such as positioning, tracking, navigation, and smart sensing in various environments. Relevant advances in artificial intelligence (AI) and machine learning (ML) are also finding rapid adoption by industry and fan the fire. Consequently, research on intelligent sensing systems and technologies has attracted considerable attention during the past decade, leading to a variety of effective applications related to intelligent transportation, autonomous vehicles, wearable computing, wireless sensor networks (WSN), and the internet of things (IoT). In particular, the sensors community has a great interest in novel, intelligent information fusion, and data mining methods coupling AI and ML for substantial performance enhancement, especially for the challenging scenarios that make traditional approaches inappropriate. This reprint book has collected 14 excellent papers that represent state-of-the-art achievements in the relevant topics and provides cutting-edge coverage of recent advances in sensor signal and data mining techniques, algorithms, and approaches, particularly applied for positioning, tracking, navigation, and smart sensing.

History of engineering & technology --- clustering --- data fusion --- target detection --- Grey Wolf Optimizer --- Fireworks Algorithm --- hybrid algorithm --- exploitation and exploration --- GNSS --- MIMU --- odometer --- state constraints --- simultaneous localization and mapping (SLAM) --- range-only SLAM --- sum of Gaussian (SoG) filter --- cooperative approach --- automatic fare collection system --- passenger flow forecasting --- time series decomposition --- singular spectrum analysis --- ensemble learning --- extreme learning machine --- wheeled mobile robot --- path panning --- laser simulator --- fuzzy logic --- laser range finder --- Wi-Fi camera --- sensor fusion --- local map --- odometry --- deep learning --- softmax --- decision-making --- classification --- sensor data --- Internet of Things --- extended target tracking --- gamma-Gaussian-inverse Wishart --- Poisson multi-Bernoulli mixture --- 5G IoT --- indoor positioning --- tracking --- localization --- navigation --- positioning accuracy --- single access point positioning --- fuzzy inference --- calibration --- car-following --- Takagi–Sugeno --- Kalman filter --- microscopic traffic model --- continuous-time model --- LoRa --- positioning --- LoRaWAN --- TDoA --- map matching --- compass --- automotive LFMCW radar --- radial velocity --- lateral velocity --- Doppler-frequency estimation --- waveform --- signal model --- tensor modeling --- smart community system --- power efficiency --- object-detection coprocessor --- histogram of oriented gradient --- support vector machine --- block-level once sliding detection window --- multi-shape detection-window --- clustering --- data fusion --- target detection --- Grey Wolf Optimizer --- Fireworks Algorithm --- hybrid algorithm --- exploitation and exploration --- GNSS --- MIMU --- odometer --- state constraints --- simultaneous localization and mapping (SLAM) --- range-only SLAM --- sum of Gaussian (SoG) filter --- cooperative approach --- automatic fare collection system --- passenger flow forecasting --- time series decomposition --- singular spectrum analysis --- ensemble learning --- extreme learning machine --- wheeled mobile robot --- path panning --- laser simulator --- fuzzy logic --- laser range finder --- Wi-Fi camera --- sensor fusion --- local map --- odometry --- deep learning --- softmax --- decision-making --- classification --- sensor data --- Internet of Things --- extended target tracking --- gamma-Gaussian-inverse Wishart --- Poisson multi-Bernoulli mixture --- 5G IoT --- indoor positioning --- tracking --- localization --- navigation --- positioning accuracy --- single access point positioning --- fuzzy inference --- calibration --- car-following --- Takagi–Sugeno --- Kalman filter --- microscopic traffic model --- continuous-time model --- LoRa --- positioning --- LoRaWAN --- TDoA --- map matching --- compass --- automotive LFMCW radar --- radial velocity --- lateral velocity --- Doppler-frequency estimation --- waveform --- signal model --- tensor modeling --- smart community system --- power efficiency --- object-detection coprocessor --- histogram of oriented gradient --- support vector machine --- block-level once sliding detection window --- multi-shape detection-window

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In the current age of information explosion, newly invented technological sensors and software are now tightly integrated with our everyday lives. Many sensor processing algorithms have incorporated some forms of computational intelligence as part of their core framework in problem-solving. These algorithms have the capacity to generalize and discover knowledge for themselves and to learn new information whenever unseen data are captured. The primary aim of sensor processing is to develop techniques to interpret, understand, and act on information contained in the data. The interest of this book is in developing intelligent signal processing in order to pave the way for smart sensors. This involves the mathematical advancement of nonlinear signal processing theory and its applications that extend far beyond traditional techniques. It bridges the boundary between theory and application, developing novel theoretically inspired methodologies targeting both longstanding and emergent signal processing applications. The topics range from phishing detection to integration of terrestrial laser scanning, and from fault diagnosis to bio-inspired filtering. The book will appeal to established practitioners, along with researchers and students in the emerging field of smart sensor signal processing.

History of engineering & technology --- geometric calibration --- long- and short-period errors --- equivalent bias angles --- sparse recovery --- linear array push-broom sensor --- deep learning --- signal detection --- modulation classification --- the single shot multibox detector networks --- the multi-inputs convolutional neural networks --- medical image registration --- similarity measure --- non-rigid transformation --- computational efficiency --- registration accuracy --- signal denoising --- singular value decomposition --- Akaike information criterion --- reaction wheel --- micro-vibration --- permutation entropy (PE) --- weighted-permutation entropy (W-PE) --- reverse permutation entropy (RPE) --- reverse dispersion entropy (RDE) --- time series analysis --- complexity --- sensor signal --- tensor principal component pursuit --- stable recovery --- tensor SVD --- ADMM --- kalman filter --- nonlinear autoregressive --- neural network --- noise filtering --- multiple-input multiple-output (MIMO) --- frequency-hopping code --- dual-function radar-communications --- information embedding --- mutual information (mi) --- waveform optimization --- spectroscopy --- compressed sensing --- inverse problems --- dictionary learning --- image registration --- large deformation --- weakly supervised --- high-order cumulant --- cyclic spectrum --- decision tree–support vector machine --- wind turbine --- gearbox fault --- cosine loss --- long short-term memory network --- indoor localization --- CSI --- fingerprinting --- Bayesian tracking --- image reconstruction --- computed tomography --- nonlocal total variation --- sparse-view CT --- low-dose CT --- proximal splitting --- row-action --- brain CT image --- audio signal processing --- sound event classification --- nonnegative matric factorization --- blind signal separation --- support vector machines --- brain-computer interface --- motor imagery --- machine learning --- internet of things --- pianists --- surface inspection --- aluminum ingot --- mask gradient response --- Difference of Gaussian --- inception-v3 --- EEG --- sleep stage --- wavelet packet --- state space model --- image captioning --- three-dimensional (3D) vision --- human-robot interaction --- Laplacian scores --- data reduction --- sensors --- Internet of Things (IoT) --- LoRaWAN --- n/a --- decision tree-support vector machine