for paper***
*DroneSense-AI 2024- 1st Workshop on Artificial Intelligence for Networked
Drone and Sensor Applications*
To be held in conjunction with *SINCONF 2024
(https://www.sinconf.org/sin2024/ )
*17th International
Conference on Security of Information and Networks
*Date & Venue*: 02 December 2024; Fully On-line via Zoom
The integration of machine learning (ML) with networked drone and sensor
technologies is revolutionizing multiple sectors. This convergence allows
drones and sensors equipped with ML algorithms to process vast amounts of
data, enhancing autonomous and intelligent operations within interconnected
systems. Although this integration drives innovation and efficiency in
fields such as agriculture, environmental monitoring, and disaster
response, challenges remain, including longer processing times and a lack
of standardized integration. These issues, along with the need for
distributed processing and coordinated decision-making, highlight the
necessity for further advancements to fully unlock the potential of these
technologies. Quantum technology represents a promising frontier for
addressing these challenges, particularly concerning the computational,
communication, and security demands of networked systems. With growing
interest from both research and industry communities, the
*DroneSense-AI* workshop
seeks to explore and inspire novel ways in which ML can optimize and expand
the capabilities of networked drones and sensors. We invite submissions
addressing innovations, challenges, and future directions in ML-driven
networked drone and sensor systems. DroneSense-AI welcomes original
contributions on all aspects of AI applications within this rapidly
evolving field.
*Workshop URL:* https://www.sinconf.org/sin2024/#callForPaper-section
*Call for papers link:*
https://www.sinconf.org/sin2024/attachment/DroneSense-AI-2024-Call-For-Papers-v3.pdf
*Paper submission link:* https://edas.info/newPaper.php?c=32575&track=126837
Topics of Interest include (but not limited to)
- Introduction to Machine Learning in Drone Networks
- Overview of ML techniques applicable to drones.
- Integration challenges and opportunities for ML in drone operations.
- Drone Trajectory Design and Optimization
- Techniques for planning efficient drone flight paths.
- ML algorithms for optimizing trajectory in dynamic environments.
- Drone Swarm Technology
- Principles and applications of drone swarms.
- Coordination and communication strategies for swarm operations.
- ML methods for managing and optimizing swarm behaviour.
- Precision Agriculture and Crop Monitoring
- ML for plant recognition, yield prediction, and crop health monitoring.
- Applications of drones in precision agriculture and sustainable farming.
- Environmental Monitoring and Wildlife Conservation
- Using ML for biodiversity tracking, species identification, and habitat
monitoring.
- UAVs in conservation efforts and real-time environmental data analysis.
- Surveillance and Security
- ML-based object and person detection for security purposes.
- Automated threat assessment and intelligent monitoring with drones.
- Disaster Response and Emergency Services
- Enhancing disaster response with ML-equipped drones.
- Real-time situational awareness and search and rescue operations using
drones.
- Construction and Infrastructure Management
- Automated inspection and monitoring of infrastructure through ML.
- Predictive maintenance and asset management for construction projects.
- Energy and Utilities
- ML applications for monitoring and managing energy infrastructure.
- Predictive maintenance and operational efficiency improvements for
utilities.
- Logistics and Transportation
- ML-driven automated delivery systems and logistics management.
- Optimizing traffic management and route planning using drones.
- Public Safety and Law Enforcement
- Enhancing public safety with ML-driven UAV surveillance.
- Applications of drones for automated monitoring and law enforcement.
- Healthcare and Medical Services
- Delivery of medical supplies and real-time patient health monitoring
with drones.
- Emergency medical response and logistics using ML-equipped UAVs.
- Internet of Things (IoT)
- Integrating ML and IoT with drones for advanced data collection and
analysis.
- Cellular Networks
- Optimizing cellular network performance and coverage through ML-driven
drones.
- Quantum processing and communication using drones
*Important Dates: *
- Full paper submission date: 10 October 2024
- Author Notification: 10 November 2024
- Camera-ready submission: 15 November 2024
- Registration Due for Accepted Papers: 15 November 2024
- Workshop date: 2 December 2024
*Submission Guidelines:*
- Authors are invited to submit original papers of no more than six A4
pages. Please use the IEEE PES Conference template for your manuscript,
which can be found here:
https://www.ieee.org/conferences/publishing/templates.html
- Submit via the EDAS submission link:
https://edas.info/newPaper.php?c=32575&track=126837
*Registration Fees:*
- One Day student $AU 349.50
One Day full $AU 499.50
*Workshop Chairs:*
- Dr Jahan Hassan (Central Queensland University, Australia)
- A/Prof. Biplob Ray (Central Queensland University, Australia)
- Dr Hailong Huang (Hong Kong Polytechnic University, Hong Kong)
- Dr Jaime Galán-Jiménez (University of Extremadura, Spain)
*Program Committee: *
- Dr Simeon Ajakwe, South Korea
- Dr Kai LI, Portugal
- Dr Hsin-Hung CHO, Taiwan
- Dr Gour Karmakar, Australia
- Dr Zhenglin Wang, Australia
- Dr Evizal Kader, Indonesia
- Dr Nahina Islam, Australia
- Mohsin Iftikhar, UAE
- Dr Adnan Anwar, Australia
- Dr Nurun Nabi, Australia
- Dr. Kiran M , India
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