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February 18th, 2022
Daniela Lopez de Luise
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February 17th, 2022
Daniela Lopez de Luise
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February 17th, 2022
Daniela Lopez de Luise Dear Colleagues,
/Sensors/ (IF 3.576, CiteScore 5.8, https://www.mdpi.com/journal/sensors) is currently running a Topical Collection entitled “Deep Learning Security and Privacy Defensive Techniques”. Prof. Dr. Francesco Mercaldo is serving as Collection Editor.
More information can be found on the Topical Collection website: https://www.mdpi.com/si/sensors/DL_security_privacy
We cordially invite you to submit a paper to this Topical Collection. The final deadline for submissions is 31 December 2022, though papers will be published on an ongoing basis. If you are interested in contributing a paper, please let us know as soon as possible. In addition, we would appreciate a tentative title and short abstract for a suitability check, and for you to recommend this Topical Collection to your colleagues.
Sensors is an open access journal indexed by SCI, SSCI, Scopus, and PubMed. According to Web of Science, Sensors ranks 14/64 (Q1) in the “Instruments & Instrumentation” category; 26/83 (Q2) in the “Chemistry, Analytical” category; and 82/273 (Q2) in the “Engineering, Electrical & Electronic” category. A free English editing service may be provided after a paper has been accepted. The article processing charge (APC) is CHF 2400 (Swiss Francs) per accepted paper.
Please do not hesitate to contact the Editorial Office (jeffrey.cai@mdpi.com) if you require any further information.
We hope that you will accept our invitation, and we look forward to collaborating in the future.
Kind regards,
Mr. Jeffrey Cai
Section Managing Editor

Sensors (ISSN 1424-8220; http://www.mdpi.com/journal/sensors) is a journal published by MDPI, Basel, Switzerland. Sensors maintains rigorous peer-review and a rapid publication process. All articles are published with a CC BY 4.0 license. For more information on the CC BY license, please see: http://creativecommons.org
February 17th, 2022
Daniela Lopez de Luise Sincerely Yours – Convener ICTIS 2022![]()
February 15th, 2022
Daniela Lopez de Luise Website: https://www.imageclef.org/2022/coral
*** CALL FOR PARTICIPATION ***
The 4th Edition of the ImageCLEF Coral Annotation Challenge 2022
Advances in automatically annotating images for complexity and benthic composition have been promising, and we are interested in automatically identify areas of interest and to label them appropriately for monitoring coral reefs. Coral reefs are in danger of being lost within the next 30 years, and with them the ecosystems they support. This catastrophe will not only see the extinction of many marine species, but also create a humanitarian crisis on a global scale for the billions of humans who rely on reef services. By monitoring the changes and composition of coral reefs we can help prioritise conservation efforts.
New for 2022:
Previous editions of ImageCLEFcoral in 2019 and 2020 have shown improvements in task performance and promising results on cross-learning between images from geographical regions. The 3rd edition in 2021 increased the complexity of the task and size of data available to participants through supplemental data, resulting in lower performance than previous years. The 4th edition plans to address these issues by targeting algorithms for geographical regions and raising the benchmark performance. As with the 3rd edition, the training and test data will form the complete set of images required to form 3D reconstructions of the marine environment. This will allow the participants to explore novel probabilistic computer vision techniques based around image overlap and transposition of data points.
Challenge description
Participants will be require to annotate and localise coral reef images by labelling the images with types of benthic substrate together. Each image is provided with possible class types. ImageCLEFcoral 2022 consists of two substaks:
Data
The data for this task originates from a growing, large-scale collection of images taken from coral reefs around the world as part of a coral reef monitoring project with the Marine Technology Research Unit at the University of Essex. The images partially overlap with each other and can be used to create 3D photogrammetric models of the marine environment.
Substrates of the same type can have very different morphologies, coloUr variation and patterns. Some of the images contain a white line (scientific measurement tape) that may occlude part of the entity.The quality of the images is variable, some are blurry, and some have poor colour balance due to the cameras being used. This is representative of the Marine Technology Research Unit dataset and all images are useful for data analysis. The training set used for 2022 has undergone a significant review in order to rectify errors in classification and polygon shape. Additionally, the 13 substrate types have been refined to help participants understand the results of their analyses.
Important dates
Participant Registration
https://www.imageclef.org/2021#registration
For more details and updates, please visit the task website at: https://www.imageclef.org/2022/coral
And join our mailing list: https://groups.google.com/d/forum/imageclefcoral