Call For Paper_BOHR International Journal of Smart Computing and Information Technology

BOHR Publishers is a multi-disciplinary open access publisher of journals in STM and HSC domains. We welcome manuscripts that focuses on original research, case studies, systematic reviews, empirical studies and experimental methods and application in your fields of research. Our robust publishing platform and editorial team enables fast publication of articles with a double blind peer review process to ensure quality. Please visit our website to check on the aim and scope for each journal to choose the appropriate journal for your article .

Website : https://www.bohrpub.com/

Important Note:

Submission Deadline: May 21, 2024

Submission Procedure:

Please submit your research work via our Online Submission system (https://www.bohrpub.com/submission) or send email to editor@bohrpub.com

Publishing Features:

Authors do not have to pay any article processing charges

Agile and responsive editorial process by our experienced team of journal-specific editors and peer reviewers

Published papers will be assigned with DOI for registering with Crossref

Each author of the published paper will receive an individual soft copy of the certificate of publication.

Articles will be submitted to multiple open access databases and indexing agencies like Google Scholar, Crossref to increase the visibility and citation potential of your article.

Policies and best practices to ensure ethics and transparency in the publishing program in accordance with the guidelines provided by Committee on Publication Ethics (COPE)

Additionally, if required by authors we can provide language enhancement support through our Partner company:

https://www.langenhance.com/; sivakumar@langenhance.com

Chennai Publishing: editorial@chennaipublishing.com

ICT Drives the World – Sustainability Nurture ICT :: 8th WorldS4 2024 – London, UK

8th WORLDS4 2024  | 23 – 26 July 2024 | London, United Kingdom

http://www.worlds4.co.uk/

Important Date: 

Tuesday – May 21, 2024 [ Extended Paper Submission Deadline ]

Platform & Venue  : Physical – London, UK & Digital : Zoom

Publication : All World Conference on Smart Trends in Systems, Security and Sustainability 2024 accepted/selected from Conference Tracks [ Track 1 – Track 4 ] will be published in volumes of LNNS Book series by Springer **. 

Indexing : The accepted papers are Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science.

Previous Publication : Past conference proceedings are already Published & Indexed in these databases : https://worlds4.co.uk/publication.html

Papers Submission : Authors are kindly invited to submit their formatted full papers including results, tables, figures and references. All submissions are handled through the Worlds4 Conference Portal at : https://www.worlds4.co.uk/call-for-paper.html#section03

Organizing & Associated Partners : Global Knowledge Research Foundation, G R Scholastic LLP, Springer, Springer Nature

Dear Friends and Colleagues,

Original contributions from researchers describing their original, unpublished, research contribution which is not currently under review by another conference or journal and addressing state-of-the-art research are invited to share their work in all areas of Systems, Security and Sustainability and its applications in field OF engineering and management but not limited to the conference tracks : https://worlds4.co.uk/call-for-paper.html#section04

The Topics of interest include but are not limited to the following :

  • Track 1: ICT for INFRASTRUCTURE AND COMPUTATION
  • Track 2: ICT for SUSTAINABLE ENGINEERING APPLICATIONS
  • Track 3: ICT for SECURED E-GOVERNANCE AND GOVERNMENT
  • Track 4: INTELLIGENT SYSTEMS AND HEALTH INFORMATICS 

For any query, Please write mail on support@worlds4.co.uk or a drop message on https://worlds4.co.uk/contact-us.html  

Sincerely Yours – Convener WorldS4 2024




New Internship opportunities @ CYENS CoE

 

We are excited to announce that CYENS Centre of Excellence is offering a range of exciting internship opportunities (both paid and unpaid) for students eager to gain valuable hands-on experience in various fields. We would appreciate if you could share these with your network.

For more information about our internship opportunities and how to apply, please visit our website https://www.cyens.org.cy/en-gb/vacancies/placement-opportunities/internships/.

 

  1. Research Internships 2024 (paid)
  2. Accounting & Finance Internship
  3. Graphic Designer Internship
  4. Marketing Internship
  5. Procurement Internship
  6. iNicosia Digital Twin | Architecture, Architectural Engineering, Civil Engineering, and Geomatics Internship
  7. iNicosia Digital Twin | Unity and/or Unreal Engine Engineer Internship
  8. Thinker Maker Space (Paid Internship)
  9. HR Internship

 

Thank you for your continued support in helping us foster the next generation of talent.

 

Best regards,

 

Natasa Kafkalia
HR Officer, Assoc CIPD

 

T. +357 22747575
www.cyens.org.cy

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Free Webinar by Dr. Xiaoming Liu on “Biometric Recognition in the Era of AI Generated Content (AIGC)”

The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Xiaoming Liu on “Biometric Recognition in the Era of AI
Generated Content (AIGC)”. Detail on the webinar are given below:

Title: Biometric Recognition in the Era of AI Generated Content (AIGC)
Speaker: Prof. Xiaoming Liu, Michigan State University, USA
When: 24 April 2024, at 10am EST (4pm CEST, 7am PST, 10pm Beijing Time)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_S_9bjNaOTMGVvD55MYAcVg

*** Talk Summary ***
In recent years we have witnessed impressive progress on AIGC
(Artificial Intelligence Generated Content). AIGC has many applications
in our society, as well as benefits diverse computer vision tasks. In
the context of biometric recognition, we believe that the AIGC era calls
for innovation on both data generation and how to leverage the generated
data. In this talk, I will present a number of efforts that showcases
these innovations, including: 1) how to bridge the gap between the
training data distribution and test data distribution; 2) how to
generate a complete synthetic database to train face recognition models;
3) how to estimate the 3D body shape from an image of clothed human
body; and 4) how to manipulate a human body image by changing its body
pose, clothing style, background, and identity. In the end, we will
briefly overview other research efforts in the Computer Vision Lab at
Michigan State University.

*** About the Speaker ***
Dr. Xiaoming Liu is the MSU Foundation Professor, and Anil and Nandita
Jain Endowed Professor at the Department of Computer Science and
Engineering of Michigan State University (MSU). He is also a visiting
scientist at Google Research. He received Ph.D. degree from Carnegie
Mellon University in 2004. Before joining MSU in 2012, he was a research
scientist at General Electric Global Research. He works on computer
vision, machine learning, and biometrics, especially on face related
analysis and 3D vision. Since 2012, he helps to develop a strong
computer vision area in MSU, who is ranked top 15 in US according to
csrankings.org. He is an Associate Editor of IEEE Transactions on
Pattern Analysis and Machine Intelligence. He has authored more than 200
publications and has filed 35 patents. His work has been cited over
25000 times with an H-index of 76. He is a fellow of IEEE and IAPR.

For more information, visit:
https://ieee-biometrics.org/index.php/activities/webinars

AIIA/AIDA/TEMA Summer School: “CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024”, 27-29 August 2024, Thessaloniki, Greece.

Dear AI/CS/ECE student/scientist/engineer/enthusiast,

the Artificial Intelligence and Information Analysis (AIIA) Lab of Aristotle University of Thessaloniki (AUTH) in cooperation with (TEMA) R&D project, the International AI Doctoral Academy (AIDA), is excited to invite you to register and attend the upcoming “CVML Programming Short Course and Workshop on Deep Learning, Computer Vision and Big Data Analytics 2024” which will take place in Thessaloniki, Greece from August 27th to 29th 2024.

This Summer School offers a three-day short course that delivers an in-depth exploration of programming tools and techniques for addressing a variety of computer vision and deep learning challenges. The course focuses on the fundamentals of deep learning and its applications in Natural Disaster Management. Here's a glimpse of what the course entails:

  • Deep neural networks – Convolutional NNs
  • 2D Object Tracking in Embedded Systems
  • Real Time Object Detection.
  • Real-Time Image Segmentation.
  • Natural Language Processing.
  • Explainability in Computer Vision applications.

Additionally, hands-on programming workshops will be conducted on each topic, providing participants with practical experience and skills enhancement.

Details

Host Institution: Aristotle University of Thessaloniki

27, 28, 29 August 2024, 08:30- 16:30 EEST (UTC + 3 hours)

On-site Participation: KEDEA Building, AUTH, Thessaloniki, Greece

General Registration

Early registration (till 15/07/2024)

Students/Scientists, Engineers from other scientific disciplines having the necessary mathematical background are also welcomed to register.

 

Special Registration for AIDA Students*

 

 On top of the above registration, also enroll on this course using the “ENROLL ON THIS COURSE” button on the AIDA course page, so that this course is included on your AIDA Certificate of Course Attendance upon successful completion of the program.

 

*AIDA Students are PhD students/candidates or Postdoc researchers belonging to any AIDA member.

 

Upon successful completion of the course, participants will receive a certificate of attendance issued by Aristotle University of Thessaloniki.

For more details, please visit: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-computer-vision-and-big-data-analytics-2024/

 

This summer school is technically sponsored by TEMA , AI.BIG Cluster, AIDA, AI4Media R&D projects.

 

 

School Organizer: Prof. Ioannis Pitas

Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab,

Aristotle University of Thessaloniki, Greece

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