Summer School 16 June 2023 Orléans France

INTERNATIONAL SUMMER SCHOOL
JUNE 14, 2023 – JUNE 16, 2023

Multidimensional bioelectric processing: from decomposition to complexity

 

The summer school is a part of an initiative on innovative digital technologies for analyzing large datasets related to human health and is funded by the ATHENA European University alliance. The program will focus on advanced methods for processing bioelectric data, including signals such as electromyography (EMG), electroencephalography (EEG), and electrocardiography (ECG). The aim is to provide both basic and advanced knowledge of multidimensional signal processing, based on techniques such as complexity measures, factorial methods, and tensor decompositions. The courses are designed to be accessible to non-specialists, while also providing more in-depth information to participants with prior experience.

Distinguished plenary speakers will be present at the program: Prof. Ales Holobar from University of Maribor, Prof. Anne Humeau-Heurtier from Angers University, Prof. Steeve Zozor from Centre National de Recherche Scientifique CNRS, and Prof. Karim-Abed-Meraim, Prof. Philippe Ravier and Dr Olivier Buttelli from Orleans University. Participants in the summer school will receive a certificate of participation, and an accreditation validation by the network's doctoral schools is also possible.

This Summer School is organised in the framework of the Advanced Technology Higher Education Network Alliance (ATHENA European University).

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Visit the website

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CONVENORS 

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Philippe Ravier, Olivier Buttelli, Meryem Jabloun & Karim Abed-Meraim
PRISME Laboratory / University of Orléans – FR

REGISTRATION

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The full cost of participation can be offered to a limited number of participants from ATHENA European Universities. 
To apply, send an email to maurine.villiers@lestudium-ias.fr with your short CV.

Upon justified request, additional funds for transportation costs can be obtained.

Deadline to apply: 31 May 2023 

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Register

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PARTNERS 

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LE STUDIUM
1, rue Dupanloup, 45000 Orléans – FR
registration@lestudium-ias.fr

Special Issue “Security and Privacy for Artificial Intelligence: Opportunities and Challenges” – Journal “Information”

Dear colleague,

 

I invite you to consider contributing a research paper or a focus review to this special issue “Security and Privacy for Artificial Intelligence:  Opportunities and Challenges” of the journal “Information” (https://www.mdpi.com/journal/information).

 

For more information, please see:
https://www.mdpi.com/journal/information/special_issues/5N295M3X11

The due date for the contribution is 30 June 2023; papers may be submitted at any point until 30 June 2023, followed by a reasonably speedy review/revision process. However, papers will be published as soon as they are accepted. Usually, Article Processing Charges (APC) of 1400 CHF apply to accepted papers. Please note that for papers submitted after 30 June 2023, an APC of 1600 CHF will apply.
(https://www.mdpi.com/journal/information/apc)

 

As the invited author, you may be granted a discount/CHF voucher if your paper is accepted for publication. Please contact the editor in Information (Ms. Bessie Chen:  bessie.chen@mdpi.com) for more information.

(The flyer is attached).

Thank you for your time and consideration.

 

Best regards,

Morteza Biglari-Abhari (Guest Editor)

 

CFP 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023, 22-24 November 2023, Iscte- University Institute of Lisbon, Lisbon, Portugal), open track: “Artificial Intelligence Approaches for quality control procedu…

Dear Colleagues,   

It is our great pleasure to invite you to submit a scientific paper to the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023, 22-24 November 2023, Iscte- University Institute of Lisbon, Lisbon, Portugal), open track: “Artificial Intelligence Approaches for quality control procedures in the industry 4.0 scenario” (Submission code 59UT6D) a yearly open forum fostering the smart culture and exploring the transformative impact of digital technologies characterizing the 4th industrial revolution across the full breadth of economic sectors.

 

Abstract

Quality control and inspection is a relevant part of modern production processes, which can be performed during different phases of production. The design of novel ML and DL methodologies that can be integrated in a Decision Support System (DSS) may improve the generalization performance by reducing the inter and intra-operator variability, and by mitigating any unwanted bias, which can influence the quality and productivity of the work and the repeatability of the results. The development of software and vision systems based on ML or DL techniques would allow to replicate human behaviour in manual operations of quality control, with the aim of improving defect detection, conformity assessment and the resulting commercial value of industrial products and materials. In the long term, this is reflected as an algorithm that will be integrated into a DSS to support the decisions of the human operator during the various phases of industrial processing, in order to speed up the production cycle and make quality control more robust and accurate.

 

Key Dates

Special Session/Open Track Proposal Deadline 30 April 2023 

Full Draft Paper Submission Deadline 31 May 2023 

Notification of Acceptance & Review Reports 30 June 2023 

Camera-ready Paper Submission 

Deadline 1 September 2023 

Registration Deadline 

Early Bird: 1 September 2023 

Late: 15 October 2023

 

Submission information

https://www.msc-les.org/ism2023/call-for-papers/

Submission site

https://easychair.org/account/signin_timeout

 

ISM Proceedings are published with Elsevier Procedia Computer Science, available on ScienceDirect, Open Access and indexed in Scopus database. Visit the ISM website https://www.msc-les.org/ism2023 or contact Dr Riccardo Rosati r.rosati@pm.univpm.it or Dr. Luca Romeo, luca.romeo@unimc.it for further information about the submission process.

 

Committee

Ricardo Rosati – Università Politecnica delle Marche, Italy 

Luca Romeo – Università deli Studi di Macerata, Italy 

Pedro Antonio Gutiérrez – University of Córdoba, Spain 

Victor Vargas – University of Córdoba, Spain

 

Con il tuo cinque per mille a UniMC investiamo insieme nella ricerca, nella formazione e nell'inclusione. Un gesto importante per la nostra comunità. Codice fiscale 00177050432. Grazie.

Call For Paper – International Conference on NL… was uploaded by International Journal of Chaos, Control, Modelling and Simulation (IJCCMS)

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International Journal of Chaos, Control, Modelling and Simulation (IJCCMS) just uploaded “Call For Paper – International Conference on NLP & Signal (NLPSIG 2023.”

Call For Paper – International Conference on NLP & Signal (NLPSIG 2023
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International Conference on NLP & Signal (NLPSIG 2023) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Signal and Natural Language Processing (NLP).
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CALL FOR PAPERS,,5th Workshop on Data Science in Health, Ecology and Commerce (DSH’23); Web of Science; IEEE: #57573

5th Workshop on Data Science in Health, Ecology and Commerce (DSH’23)

Warsaw, Poland, 17–20 September, 2023
https://fedcsis.org/sessions/itbs/dsh

Organized within FedCSIS 2023 (IEEE: #57573)
Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions)

KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing:
DBLP, Scopus and Web of Science; 70 punktów parametrycznych MEiN

Please feel free to forward this announcement to your colleagues and
associates who could be interested in it.

********************* Statement concerning LLMs *********************

Recognizing developing issue that affects all academic disciplines, we
would like to state that, in principle, papers that include text
generated from a large-scale language model (LLM) are prohibited, unless
the produced text is used within the experimental part of the work.

*********************************************************************

Data Science in Health, Ecology and Commerce is a forum on all forms of
data analysis, data economics, information systems and data based
research, focusing on the interaction of those three fields. Here,
data-driven solutions can be generated by understanding complex
real-world (health) related problems, critical thinking and analytics to
derive knowledge from (big) data. The past years have shown a
forthcoming interest on innovative data technology and analytics
solutions that link and utilize large amounts of data across individual
digital ecosystems. First applications scenarios in the field of health,
smart cities or agriculture merge data from various IoT devices, social
media or application systems and demonstrate the great potential for
gaining new insights, supporting decisions or providing smarter
services. Together with inexpensive sensors and computing power we are
ahead of a world that bases its decisions on data. However, we are only
at the beginning of this journey and we need to further explore the
required methods and technologies as well as the potential application
fields and the impact on society and economy. This endeavor needs the
knowledge of researchers from different fields applying diverse
perspectives and using different methodological directions to find a way
to grasp and fully understand the power and opportunities of data science.

This is a joint track by WIG2, the Scientific Institute for health
economics and health service research, the Information Systems Institute
of Leipzig University and the Helmholtz Center for Environmental Research.

Topics

We embrace a rich array of issues on data science and offer a platform
for research from diverse methodological directions, including
quantitative empirical research as well as qualitative contributions. We
welcome research from a medical, technological, economic, political and
societal perspective. The topics of interest therefore include but are
not limited to:

+    Data analysis in health, ecology and commerce
+    Data analysis in climate change adoptation
+    Data analysis in commerce
+    (Health) Data management
+    Health economics
+    5G(/6G) in health
+    Data economics
+    Data integration
+    Semantic data analysis
+    AI based data analysis
+    Data based health service research
+    Smart Service Engineering
+    Integrating data in integrated care
+    AI in integrated care
+    Spatial health economics
+    Risk adjustment and Predictive modelling
+    Privacy in data science

Submission rules:

–    Authors should submit their papers as Postscript, PDF or MSWord files.
–    The total length of a paper should not exceed 10 pages IEEE style
(including tables, figures and references). IEEE style templates are
available here.
–    Papers will be refereed and accepted on the basis of their
scientific merit and relevance to the workshop.
–    Preprints containing accepted papers will be published on a USB
memory stick provided to the FedCSIS participants.
–    Only papers presented at the conference will be published in
Conference Proceedings and submitted for inclusion in the IEEE Xplore®
database.
–    Conference proceedings will be published in a volume with ISBN,
ISSN and DOI numbers and posted at the conference WWW site.
–    Conference proceedings will be submitted for indexation according
to information here.
–    Organizers reserve right to move accepted papers between FedCSIS
technical sessions.

Important dates:

+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there
will be no extension)
+ Position paper submission: June 7, 2023
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Payment (early fee deadline): July 26, 2023

DSH Committee: https://fedcsis.org/sessions/itbs/dsh/committee

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