Browsing by Subject "Drones"

Now showing items 1-14 of 14

    • AirEye: UAV-Based Intelligent DRL Mobile Target Visitation 

      Soliman, Abdulrahman; Bahri, Mohamad; Izham, Daniel; Mohamed, Amr (2022 , Conference Paper)
      From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ...

    • AirEye: UAV-Based Intelligent DRL Mobile Target Visitation 

      Soliman, Abdulrahman; Bahri, Mohamad; Izham, Daniel; Mohamed, Amr ( IEEE , 2022 , Conference Paper)
      From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ...

    • Applications, databases and open computer vision research from drone videos and images: a survey 

      Akbari Y.; Almaadeed N.; Al-Maadeed, Somaya; Elharrouss O. ( Springer Science and Business Media B.V. , 2021 , Article)
      Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an emerging application attracting significant attention from researchers in various areas of computer vision. Currently, the major ...

    • ARTIFICIAL INTELLIGENCE TECHNOLOGY IN LARGE-SCALE DATE PALM POLLINATION IN MIDDLE EAST 

      Al-Mayahi, Al-Moutasim Sulaiman; Al-Harrasi, Mohammed Abdallah; Rajesh.D., Gnana ( Qatar University Young Scientists Center - Qatar University , 2024 , Conference Paper)
      1.1 Problem Statement There is a problem in the agriculture sector. Pollination of date palm is carried out manually in the major date palm plantation. This study addresses the problem of labor-intensive date palm ...

    • Association of networked flying platforms with small cells for network centric 5G+ C-RAN 

      Shah S.A.W.; Khattab T.; Shakir M.Z.; Hasna M.O. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      5G+ systems expect enhancement in data rate and coverage area under limited power constraint. Such requirements can be fulfilled by the densification of small cells (SCs). However, a major challenge is the management of ...

    • DDI: Drones Detection and Identification using Deep Learning Techniques 

      AL-EMADI, SARA ABDULRAZAQ (2021 , Master Thesis)
      Drones are becoming increasingly popular not only for recreational purposes but in day-to-day applications in engineering, medicine, logistics, security and others. Besides their useful applications, an alarming concern ...

    • Deep Learning for RF-Based Drone Detection and Identification: A Multi-Channel 1-D Convolutional Neural Networks Approach 

      Allahham M.S.; Khattab T.; Mohamed A. ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the last few years. The fact that these drones are highly accessible to public may bring a range of security and technical issues to ...

    • Design and Implementation of a RF Based Anti-Drone System 

      Abunada A.H.; Osman A.Y.; Khandakar A.; Chowdhury M.E.H.; Khattab T.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Drones or unmanned aerial vehicles are having an increased popularity in all fields of applications such as transportation, traffic monitoring, military surveillance etc. However, this technology can be used for destruction ...

    • Drones for Agriculture 

      Ellithy, Noor Khaled; Balaawi, Orob Kifah; Alnakeeb, Alaa Khaled ( Qatar University Press , 2020 , Poster)
      Taking measurements for agriculture purposes is a challenge that this project tackles. A UAV and some sensors are being used to monitor a big field. The target of this project is to design a fully autonomous system that ...

    • Fog Computing Potentials, Applications, and Challenges 

      Haouari F.; Faraj R.; Alja'Am J.M. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      The emergence of Internet of Things (IoT) and the technological advancements of smart devices and wearable gadgets, are empowering new real-Time applications such as health monitoring, traffic monitoring, tele-surveillance, ...

    • Navigation and Obstacle Avoidance System in Unknown Environment 

      Singh J.; Dhuheir M.; Refaey A.; Erbad A.; Mohamed A.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)
      Recently, drones have been used in many different applications such as search and rescue operations, extinguishing fires, and environment mapping. As the number of moving drones increases in the sky, the collisions risk ...

    • Smart Technologies Driven Approaches to Tackle COVID-19 Pandemic 

      MAURYA, MUNI RAJ; Sadasivuni, Kishor Kumar; Al-Maadeed, Sumaya Ali S A ( Qatar University Press , 2020 , Poster)
      The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) had led to a global outbreak of corona virus disease 2019 (COVID-19) and raised an international public health issue. To mitigate the infection ...

    • UAVs Smart heuristics for Target Coverage and Path Planning Through Strategic Locations 

      Gedawy, Hend; Al-Ali, Abdulla; Mohamed, Amr; Erbad, Aiman; Guizani, Mohsen ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      The affordability and deployment-flexibility of Unmanned Air Vehicles (UAVs) have ignited the development of many smart applications, including surveillance, disaster management, and smart farming. Drone's energy consumption ...

    • VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results 

      Du D.; Wen L.; Zhu P.; Fan H.; Hu Q.; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2020 , Conference Paper)
      Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algorithms focusing ...