Smart UAV Machines for Detection and Classification: Advancements and Applications in Renewable Energy Technologies
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 217
Special Issue Editors
Interests: deep learning; renewable energy; optimization and control science
Special Issues, Collections and Topics in MDPI journals
Interests: renewable energy; deep learning; power control; power forecasting
Special Issues, Collections and Topics in MDPI journals
Interests: bioresource conversion technologies; upcycling waste; biochar; energy and environmental materials
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This special issue, “Smart UAV Machines for Detection and Classification: Advancements and Applications in Renewable Energy Technologies”, we investigate the synergistic potential of integrating UAV-based technologies with renewable energy systems as functioning machines. we focus on how the utilization of smart UAV machines, coupled with cutting-edge detection and classification capabilities, can contribute to the advancement and application of renewable energy technologies. As we recognize the transformative impact that smart UAV machines, equipped with sophisticated detection and classification functionalities, can have on the renewable energy landscape. By harnessing the power of artificial intelligence and machine learning algorithms, these UAV-based systems hold the promise of revolutionizing various aspects of renewable energy generation, optimization, and sustainability. This research endeavor will entail a comprehensive examination of the following key areas:
- Advancements in smart UAV machine technologies for enhanced detection and classification in renewable energy environments.
- Exploration of novel applications of UAV-based systems in monitoring, maintenance, and optimization of renewable energy infrastructure.
- Investigation of strategies for integrating UAV-based detection and classification capabilities with renewable energy systems to improve efficiency, reliability, and performance.
- Evaluation of the potential economic, environmental, and societal impacts of integrating smart UAV machines with renewable energy technologies.
Dr. Adeel Feroz Mirza
Dr. Majad Mansoor
Prof. Dr. Balal Yousaf
Guest Editors
Manuscript Submission Information
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Keywords
- smart UAV machines
- renewable energy environments
- UAV-based detection
- cutting-edge detection
- classification capabilities
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