Drone2023: Drone Data Analytics in Aerial Computing |
Website | https://sites.google.com/view/drone-data-analytics-in-aerial/home |
Submission link | https://easychair.org/conferences/?conf=drone2023 |
About the Book
Drone data analytics guarantee that the right people have the correct data at their fingertips whenever needed. Drone flight gathers a Terabyte of data and geo-tagged reference points with no need for traditional ground control. The data automatically uploads to the aerial computing platform. The aerial computing analyses the data and generates the required output in visualization, graph, and action. An aerial access network can be constructed dependent on either low-elevation or high-altitude stages. When associated with satellite and earthly frameworks, these stages empower a far-reaching access network with worldwide inclusion and diverse administration provisioning. Drone data analytics are used in agriculture, mining, waste management, and defences. The main aim of this book is to bring together the current research progress (from academia and industry) on data storage, sharing, and data visualization for manufacturing and agriculture applications using modern drone data analytics techniques. This book also discusses the latest research and theoretical and experimental innovations in Drone Data Analytics in Aerial Computing.
Topics |
Topics of interest include, but are not limited to, the following:
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Submission Procedure
A proposal for book chapter is needed from prospective authors before the proposal submission due date, describing the objective, scope, and structure of the proposed chapter. Proposal (Extended abstract) need to be approximately 500 words with title and list of authors. Submit the Abstract in easychair. Authors of the accepted proposals will be notified by August 31, 2022 about the status of their proposals and sent chapter guidelines. Full chapters are then expected to be submitted by November 30, 2022 in easychair. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Submission link: https://easychair.org/conferences/?conf=sc5giot
Website Link: https://sites.google.com/view/drone-data-analytics-in-aerial/home
Full chapter preparation guidelines link :
Deadlines
Abstract Submission Deadline: September 28, 2022
Abstract Acceptance: September 30, 2022
Full Chapter Submission: November 30, 2022
Full Chapter Acceptance: December 30, 2022
Editiors
Dr. P. Karthikeyan
Post Doctor Researchers
Dept. of Computer Science and Information Engineering
National Chung Cheng University, Taiwan
Email: nrmkarthi@gmail.com
Dr.Sathish A.P Kumar
Associate Professor,
Department of Electrical Engineering and Computer Science
Washkewicz College of Engineering
Cleveland State University
Email: s.kumar13@csuohio.edu
Dr. V. ANBARASU
Associate Professor
Department Of Networking and Communications, Kattankulathur Campus, SRM Institute of Science and Technology
Email: anbarasukv@gmail.com
Contact
All questions about submissions should be emailed to Email: anbarasukv@gmail.com