Special Issue “Analysis of 1D Biomedical signals through AI based approaches for Image processing” (Biomedical Signal Processing and Control Journal)

February 9th, 2021 Daniela Lopez de Luise

Dear Colleague,

the journal Biomedical Signal Processing and Control Journal (IF 3.137, https://www.journals.elsevier.com/biomedical-signal-processing-and-control) is currently running a Special Issue entitled “Analysis of 1D Biomedical signals through AI based approaches for Image processing”, which is now open for submissions:

https://www.journals.elsevier.com/biomedical-signal-processing-and-control/call-for-papers/special-issue-on-analysis-of-1d-biomedical-signals

Please, find below the Call for Papers of this Special Issue.
I hope it is interesting for you.
I apologize if you received multiple copies of this CFP.

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BIOMEDICAL SIGNAL PROCESSING AND CONTROL JOURNAL 

Elsevier – Impact Factor: 3.137

Special Issue on Analysis of 1D Biomedical signals 

through AI based approaches for Image processing

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Sensors-Special Issue on Machine Learning for Multimedia Communications

February 9th, 2021 Daniela Lopez de Luise

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________________________________________________
Dr Nikolaos Thomos
Reader (Associate Professor)
CSEE Deputy Director of Research
University of Essex,
Computer Science and Electronic Engineering Department
Colchester, United Kingdom
Tel: 0044 (0) 1206872404

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Conference on Artificial Intelligence and Computer Vision, Virtual/online presentation

February 9th, 2021 Daniela Lopez de Luise

*Apologies if you receive multiple copies of this CFP*

2nd round submission

The 2th International Conference on Artificial Intelligence and Computer Vision ( )

June 28-30, 2021, Morocco

http://egyptscience.net/AICV2021/

Submission Deadline: Feb. 20, 2021

We welcome your participation and contribution to the 2nd International Conference on Artificial Intelligence and Computer Vision (AICV’2021), held in Morocco during June 28-30, 2021. The 2nd edition of AICV2021 is organized by the Scientific Research Group in Egypt (SRGE) in collaboration with the Faculty of Science and Techniques, Hassan 1st University, Setatt, Morocco. AICV2021 is organized to provide an international forum that brings together those actively involved in the areas of interest and reports on up-to-the-minute innovations and developments to summarize the state-of-the-art and to exchange ideas and advances in all aspects of Artificial Intelligence and Computer Vision. All accepted papers will be published in the conference proceeding published by Springer in the series of “Advances in Intelligent Systems and Computing” and abstracted/indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus. 

We are also providing online presentation facilities to authors who are unable to attend the conference as well as PPT record is acceptable

 

Paper submission:  https://ocs.springer.com/misc/conference/submitpaperto/AICV2021

Important Dates:

– Paper submission deadline:  Feb. 20, 2021

– Acceptance notification: March 10, 2021

– Submission camera ready: March  20, 2021

– Registration: March 20, 2021

– Conference dates: June 28 – 30, 2021

Topics of interest for each track include (but are not limited to):

–          Track 1 (Main Track):   Artificial Intelligence: Applications and AI encapsulated in the IoT

–          Track 2:  Convergence of Artificial Intelligence and Blockchain Technologies

–          Track 3:  Artificial Intelligence for Communications and Networks

2020 conference proceeding: https://link.springer.com/book/10.1007/978-3-030-44289-7


General Chairs

Abdelkrim HAQIQ, Hassan 1st University, FST, Settat, Morocco

Aboul Ella Hassanien, Cairo University, Faculty of Computers & Artificial Intelligence, Egypt

 

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DeepLearn 2021 Summer: early registration February 24

February 9th, 2021 Daniela Lopez de Luise
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4th INTERNATIONAL SCHOOL ON DEEP LEARNING
 
DeepLearn 2021 Summer
 
Las Palmas de Gran Canaria, Spain
 
July 26-30, 2021
 
Co-organized by:
 
Department of Information Engineering
Marche Polytechnic University
 
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
 
https://irdta.eu/deeplearn2021s/
 
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Live e-lecture by Prof. Efstratios Gavves: ‘The Machine Learning of Time: Past and Future’, 9th February 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures

February 8th, 2021 Daniela Lopez de Luise

Dear AI scientist/engineer/student/enthusiast,

 

Prof. Efstratios Gavves (University of Amsterdam, Netherlands), a prominent young AI researcher internationally, will deliver the e-lecture:

‘The Machine Learning of Time: Past and Future’, on Tuesday 9th February 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/ai-lectures/

You can join for free using the zoom link: https://authgr.zoom.us/j/93863728654

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media and Vision and Humane AI Net currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST).  Attendance is free.

 

Other upcoming lectures:

  1. Prof. Pietro Perona, ‘Measuring algorithmic bias in face analysis — towards an experimental approach’, 23rd February 2021 17:00 – 18:00 CET.
  2. Prof. Björn Schuller: ‘There will be Artificial Emotional Intelligence’, 9th March 2021 17:00 – 18:00 CET
  3. Prof. Andreas Geiger, ‘Towards Robust End-to-End Driving’, 23rd March 2021 17:00 – 18:00 CET

More lecture infos in: http://www.i-aida.org/future-lectures/

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).

If you want to stay informed on future lectures, you can register in the CVML email list.

 

Best regards

Profs. I. Pitas, N. Sebe, B. O’Sullivan, M. Chetouani

AIDA AI Excellence lecture series committee

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