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This book is a reprint of the Special Issue “Intelligent Autonomous Decision-Making and Cooperative Control Technology of High-Speed Vehicle Swarms”,which was published in Applied Sciences.

hypersonic vehicle --- steady-state cruise --- aircraft parameter --- neural network --- cooperative guidance --- model prediction control --- multi-missile cooperative control --- multi-constraint cooperative guidance --- distributed control --- MAS --- flight control --- fixed-wing UAV --- UAV swarm formation --- distributed ad hoc network --- consistency theory --- formation obstacle avoidance --- multi-UAV --- deep deterministic policy gradient --- cooperative penetration --- dynamic-tracking-interceptor component --- swarm control --- distributed swarm --- dynamic task planning --- task assignment --- event-trigger --- UAV–UGV --- cooperative engagement --- optimal control --- time-varying output formation --- formation keeping --- n/a --- UAV-UGV

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UAVs are becoming a reality and attract increasing attention. They can be remotely controlled or completely autonomous and be used alone or as a fleet and in a large set of applications. They are constrained by hardware since they cannot be too heavy and rely on batteries. Their use still raises a large set of exciting new challenges in terms of trajectory optimization and positioning when they are used alone or in cooperation, and communication when they evolve in swarm, to name but a few examples. This book presents some new original contributions regarding UAV or UAV swarm optimization and communication aspects.

direction-of-arrival estimation --- unmanned aerial vehicles --- UAV swarm --- aperiodic arrays --- MUSIC --- Cramer–Rao bound --- stochastic system --- configuration control --- multiplicative noises --- dynamic model --- stochastic robustness analysis and design --- wireless sensor networks --- unmanned aerial vehicle --- mission completion time --- trajectory planning --- UAV secure communication --- secrecy rate maximization --- jamming --- trajectory design --- power control --- sensors --- data collection utility --- GPS measurement --- UAV --- 3D models --- measurement precision --- unmanned aerial vehicle (UAV) --- cooperative communication --- topology structure --- complex field network coding (CFNC) --- edge computing --- internet of things --- mobile robots --- resource allocation --- control co-design --- data offloading --- UAV-enabled computing --- resource-based pricing --- risk-awareness --- multi-access edge computing systems --- UAV fleet --- energy consumption --- self-organization --- algorithms --- optimization --- UAV replacement --- multiple unmanned aerial vehicles --- mobile nodes --- data collection --- collision-free --- synchronized multi-agent formation --- decentralized sliding mode control --- drones --- wireless --- swarm --- communication

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Information and communication technology (ICT) is reponsible for up to 10% of world power consumption. In particular, communications and computing systems are indispensable elements in ICT; thus, determining how to improve the energy efficiency in communications and computing systems has become one of the most important issues for realizing green ICT. Even though a number of studies have been conducted, most of them focused on one aspect—either communications or computing systems. However, salient features in communications and computing systems should be jointly considered, and novel holistic approaches across communications and computing systems are strongly required to implement energy-efficient systems. In addition, emerging systems, such as energy-harvesting IoT devices, cyber-physical systems (CPSs), autonomous vehicles (AVs), and unmanned aerial vehicles (UAVs), require new approaches to satisfy their strict energy consumption requirements in mission-critical situations. The goal of this Special Issue is to disseminate the recent advances in energy-efficient communications and computing systems. Review and survey papers on these topics are welcome. Potential topics include, but are not limited to, the following: • energy-efficient communications: from physical layer to application layer; • energy-efficient computing systems; • energy-efficient network architecture: through SDN/NFV/network slicing; • energy-efficient system design; • energy-efficient Internet of Things (IoT) and Industrial IoT (IIoT); • energy-efficient edge/fog/cloud computing; • new approaches for energy-efficient computing and communications (e.g., AI/ML and data-driven approaches); • new performance metrics on energy efficiency in emerging systems; • energy harvesting and simultaneous wireless information and power transfer (SWIPT); • smart grid and vehicle-to-grid (V2G); and • standardization and open source activities for energy efficient systems.

UAV --- relay --- cooperative communications --- buffer --- power control --- energy efficiency --- energy-neutral operation --- wireless powered sensor network --- simultaneous wireless information and power transfer --- energy harvesting --- clustering --- offloading --- Internet of Things (IoT) --- energy --- constraint Markov decision process (CMDP) --- optimization --- computation offloading --- mobile edge computing --- lyapunov optimization --- 1-bit unit cell --- coding metasurface --- adaptive beam focusing --- wireless power transfer --- UAV network --- topology control --- space division

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Unmanned aerial vehicles (UAV) have already become an affordable and cost-efficient tool to quickly map a targeted area for many emerging applications in the arena of ecological monitoring and biodiversity conservation. Managers, owners, companies, and scientists are using professional drones equipped with high-resolution visible, multispectral, or thermal cameras to assess the state of ecosystems, the effect of disturbances, or the dynamics and changes within biological communities inter alia. We are now at a tipping point on the use of drones for these type of applications over natural areas. UAV missions are increasing but most of them are testing applicability. It is time now to move to frequent revisiting missions, aiding in the retrieval of important biophysical parameters in ecosystems or mapping species distributions. This Special Issue shows UAV applications contributing to a better understanding of biodiversity and ecosystem status, threats, changes, and trends. It documents the enhancement of knowledge in ecological integrity parameters mapping, long-term ecological monitoring based on drones, mapping of alien species spread and distribution, upscaling ecological variables from drone to satellite images: methods and approaches, rapid risk and disturbance assessment using drones, mapping albedo with UAVs, wildlife tracking, bird colony and chimpanzee nest mapping, habitat mapping and monitoring, and a review on drones for conservation in protected areas.

Pinus nigra --- unmanned aerial vehicles (UAVs) --- biological conservation --- precision --- flight altitude --- accuracy --- multiscale approach --- low-cost UAV --- LTER --- small UAV --- ecological monitoring --- Sequoia --- long-term monitoring --- albedo --- image processing --- vegetation indices --- Tanzania --- ground-truth --- Sentinel-2 --- biodiversity threats --- field experiments --- effective management --- great apes --- drone --- ecological integrity --- multispectral --- rice crops --- conservation --- protected areas --- survey --- response surface --- aerial survey --- bird censuses --- multispectral mapping --- drones --- UAS --- hyperspectral --- UAV --- random forest --- Pinus sylvestris --- NDVI --- UAVs --- Parrot Sequoia --- supervised classification --- drone mapping --- RPAS --- greenness index --- image resolution --- Plegadis falcinellus --- Motus --- biodiversity --- Landsat 8 --- Sentinel --- boreal forest --- phenology --- LTSER --- western swamphen --- Parrot SEQUOIA --- native grassland --- forêt Montmorency --- drought --- forest regeneration --- radio-tracking

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This book is the first literature collection focused on the development and implementation of unmanned aircraft systems (UAS) and their integration with sensors for atmospheric measurements on Earth. The research covered in the book combines chemical, physical, and meteorological measurements performed in field campaigns, as well as conceptual and laboratory work. Useful examples for the development of platforms and autonomous systems for environmental studies are provided, which demonstrate how careful the operation of sensors aboard UAS must be to gather information for remote sensing in the atmosphere. The work serves as a key collection of articles to introduce the topic to new researchers interested in the field, guide future studies, and motivate measurements to improve our understanding of the Earth’s complex atmosphere.

unmanned aerial vehicles (UAV) --- drones --- geostatistics --- atmospheric physics --- meteorology --- spatial sampling --- unmanned aerial vehicles --- unmanned aerial systems, turbulence --- atmospheric boundary layer --- TK-1G sounding rocket --- near space --- data analysis --- remote sensing --- unmanned aerial systems --- atmospheric composition --- sensors --- UAS --- RPAS --- ALADINA --- airborne turbulence --- radiation measurements --- aerosol measurements --- field experiments --- validation methods --- unmanned aircraft --- meteorological observation --- stable atmospheric boundary layer --- turbulence --- remotely piloted aircraft systems (RPAS) --- ground-based in-situ observations --- boundary layer remote sensing --- Arctic --- polar --- sea ice --- n/a --- source estimation --- methane emissions --- natural gas --- leak surveys --- inverse emissions --- MONITOR --- UAV --- LDAR --- air pollution --- unmanned aerial vehicle (UAV) --- PM2.5 --- meteorological condition --- long-distance transport --- satellite data --- RMLD-UAV --- methane --- mass flux --- leak rate quantification --- wind speed and direction estimation algorithms --- flow probes --- airspeed measurement --- small unmanned aircraft systems (sUAS)