-------- Weitergeleitete Nachricht -------- Betreff: [InternetTC] Call for Papers - DroneSense-AI 2025 [With IEEE WoWMoM 2025] Datum: Wed, 22 Jan 2025 01:39:57 +0000 Von: Jahan Hassan j.hassan@CQU.EDU.AU An: itc@COMSOC.ORG

Apologies for cross-posting.

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*Call for Papers*

*********************************************************************************************************************** DroneSense-AI 2025*

*Second Workshop on Artificial Intelligence for Networked Drone and Sensor Applications (DroneSense-AI)*

Workshop website: https://sites.google.com/view/dronesense-ai2025 https://sites.google.com/view/dronesense-ai2025

/In conjunction with IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) 2025, /

May 27-30, 2025, Fort Worth, Texas, USA.

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* Overview:* 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.

Accepted papers *will be included in the conference proceeding published in the IEEE Xplore Digital Library*, showing their affiliation with IEEE WoWMoM.

WoWMoM website: https://wowmomconference2025.uta.edu/index.html https://wowmomconference2025.uta.edu/index.html

**** Important dates ****

Workshop paper submission deadline: 1 March 2025

Workshop Paper acceptance notification: 1 April 2025

**** 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

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**** Submission Guidelines****

All submissions are required to comply with IEEE WoWMoM guidelines. Submitted manuscripts should use IEEE 2-column conference style and are limited to *6 pages* (including figures and references).

Please use the IEEE PES Conference template for your manuscript, which can be found here: https://www.ieee.org/conferences/publishing/templates.html https://www.ieee.org/conferences/publishing/templates.html

*/>>>>>> EDAS submission link:/*/https://edas.info/N33089 https://edas.info/N33089/

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**** Workshop Chairs ****

• Dr Jahan Hassan (Central Queensland University, Australia)

• A/Prof. Fatemeh Afghah (Clemson University, USA)

• A/Prof. Biplob Ray (Central Queensland University, Australia)

https://edas.info/N33089

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