Path Planning methods for the autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on rise due to numerous advantages they bring. There increasingly more scenarios where multiple UAVs is required. Most these involve a large number obstacles, such as power lines or trees. Despite challenges, there also several advantages; if all can operate autonomously, personnel expenses be reduced. Additionally, their flight paths optimized, energy consumption reduced, leaving battery time other...

Unmanned Aerial Vehicle (UAV) swarms adoption shows a steady growth among operators due to the benefits in time and cost arisen from their use. However, this kind of system faces an important problem which is calculation many optimal paths for each UAV. Solving would allow control UAVs without human intervention at same while saving battery between recharges performing several tasks simultaneously. The main aim develop capable calculating flight path UAV swarm. these achieve full coverage...

Path Planning methods for autonomously controlling swarms of unmanned aerial vehicles (UAVs) are gaining momentum due to their operational advantages. An increasing number scenarios now require autonomous control multiple UAVs, as operation can significantly reduce labor costs. Additionally, obtaining optimal flight paths lower energy consumption, thereby extending battery life other critical operations. Many these scenarios, however, involve obstacles such power lines and trees, which...

Path Planning methods for autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on the rise because all advantages they bring. There more and scenarios where multiple UAVs is required. Most these present a large number obstacles, such as power lines or trees. If can be operated autonomously, personnel expenses decreased. In addition, if their flight paths optimal, energy consumption reduced. This ensures that battery time left other operations. this paper, Reinforcement Learning...

Automatic detection of Alzheimer's disease is a very active area research. This due to its usefulness in starting the protocol stop inevitable progression this neurodegenerative disease. paper proposes system for by means Deep Learning techniques magnetic resonance imaging (MRI). As solution, model neuronal networks (ANN) and two sets reference data training are proposed. Finally, goodness verified within domain application.

The number of applications using unmanned aerial vehicles (UAVs) is increasing. use UAVs in swarms makes many operators see more advantages than the individual UAVs, thus reducing operational time and costs. main objective this work to design a system that, Reinforcement Learning (RL) Artificial Neural Networks (ANNs) techniques, can obtain good path for each UAV swarm distribute flight environment such way that combination captured images as simple possible. To determine whether it better...

The past and current situation of the SARS-CoV-2 pandemic has put entire society, especially all hospital systems, worldwide to test. It is essential that health system managers decision makers optimize management resources, even being forced improvise new units, divert resources usually destined other functions and/or change usual care modality by considerably enhancing aspects telemedicine. Artificial Intelligence (AI) techniques procedures are great help in making emergency environments...

Path Planning methods for autonomous control of Unmanned Aerial Vehicle (UAV) swarms are on the rise because all advantages they bring. There more and scenarios where multiple UAVs is required. Most these present a large number obstacles, such as power lines or trees. If can be operated autonomously, personnel expenses decreased. In addition, if their flight paths optimal, energy consumption reduced. This ensures that battery time left other operations. this paper, Reinforcement Learning...

This adaptation consists of the translation from Spanish into Portuguese different contents offered by ClepiTO web platform to be able carry out a pilot test with larger population in Portugal and thus compare results obtained among

Path planning is a critical problem that entails calculating wide range of ideal paths for each drone in swarm. If this challenge could be solved, it would possible to control large number drones without the need human involvement while preserving optimal trajectories. The fewer people needed operate UAVs and shorter path, lower costs. primary goal create Artificial Intelligence based systems can calculate best flying path swarm drones. Regardless maps or amount swarm, these result...

The current SARS-CoV-2 pandemic has put the entire civilization, particularly medical systems around world, to test. Managers and decision-makers in health-care system must maximize resource management. Because of their predictive capacity, Artificial Intelligence (AI) tools procedures are extremely useful decision-making emergency situations including severe pandemics. PRACTICUM DIRECT project is presented this paper, which proposes design development a tool aid health managers making early...