We are delighted to invite you to submit a quality book chapter proposal to
our upcoming book on the use of ML/ AI in UAVs applications.
*Chapter proposal submission closes in 15 days!!*
Proposals Submission Deadline: June 20, 2023
Full Chapters Due: *September 2, 2023*
*Book Title:* Applications of Machine Learning in UAV Networks (
https://www.igi-global.com/book/applications-machine-learning-uav-networks/323427
)
*Editors:* Dr Jahan A. Hassan (Central Queensland University, Australia),
Dr Saeed H. Alsamhi (Insight Centre for Data Analytics, University of
Galway, Ireland)
*Editorial Advisory Board Members: *
· Prof. Junaid Qadir, Qatar University, Qatar
· A/Prof. Chun Tung Chou, University of New South Wales,
Australia
· Dr Sara Khalifa, CSIRO/Data61, Australia
· Dr Prasant Misra, Tata Consultancy Services, India
· Dr Azade Fotouhi, Capgemini Technology, France
· A/Prof. Jaime Galán-Jiménez, University of Extremadura, Spain
Please submit your chapter proposal, consisting of 1,000 to 2,000 words, by
June 20, 2023. The proposal should provide a clear explanation of the
mission and concerns addressed in your proposed chapter. Ensure that your
proposed chapter aligns with one of the topics listed below:
· Applications of machine learning in plant recognition and yield
prediction using UAVs
· Crop monitoring using UAVs equipped with machine learning algorithms
· Precision agriculture and sustainable farming practices empowered by
machine learning
· Applications of machine learning in biodiversity monitoring and species
identification
· Real-time monitoring of natural habitats and ecosystems using UAVs
· Wildlife conservation and habitat restoration using UAVs equipped with
machine learning algorithms
· UAV-based forest fire monitoring using machine learning
· Applications of machine learning in UAVs-based detecting and tracking
objects and people
· Automated security systems and intelligent monitoring using UAVs
· Real-time threat assessment and response using UAVs equipped with
machine learning algorithms
· Applications of machine learning in UAB enabled disaster response and
emergency services
· Real-time situational awareness using UAVs equipped with machine
learning algorithms
· Search and rescue operations using machine learning algorithms
· Applications of machine learning in UAVs assisted construction and
infrastructure management
· Automated inspection and monitoring of infrastructure using UAVs
equipped with machine learning algorithms
· Asset management and predictive maintenance using machine learning
algorithms
· Applications of machine learning assisted UAVs in energy and utilities
management
· Automated inspection and monitoring of energy and utility
infrastructure using UAVs equipped with machine learning algorithms
· Predictive maintenance and asset management using machine learning
algorithms assisted UAVs
· Applications of machine learning in logistics and transportation
management using UAVs
· Automated delivery and transportation using UAVs equipped with machine
learning algorithms
· Real-time traffic management and route optimization assisted by UAVs
using machine learning algorithms
· Applications of machine learning in public safety and law enforcement
using UAVs
· Real-time situational awareness and response using UAVs equipped with
machine learning algorithms
· Automated surveillance and intelligent monitoring using machine
learning algorithms
· Applications of machine learning in mining and resource management
assisted by UAVs
· Automated inspection and monitoring of mining sites using UAVs equipped
with machine learning algorithms
· Predictive maintenance and asset management using UAVs and machine
learning algorithms
· Applications of machine learning in UAV enabled healthcare and medical
services
· Automated delivery of medical supplies and equipment using UAVs
equipped with machine learning algorithms
· Real-time monitoring of patient health and wellbeing using UAVs and
machine learning algorithms
· Applications of machine learning in UAV assisted Internet of Things
(IoT)
· Applications of machine learning in UAV enabled cellular networks
· Applications of machine learning in UAV enabled edge/cloud computing
Submission information can be found at:
https://www.igi-global.com/publish/call-for-papers/call-details/6569
We believe that you will find it valuable to publish a book chapter in this
exciting title and make a significant contribution in this evolving field.
Please do not hesitate to contact us if you have any queries, and we look
forward to hearing from you soon.
Best regards from the Editors:
Dr Jahan A. Hassan
Central Queensland University, Australia
j.hassan@cqu.edu.au
Dr Saeed H. Alsamhi
Insight Centre for Data Analytics, University of Galway, Ireland
saeed.alsamhi@insight-centre.org
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