IEEE LCN’24 Special Tracks

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Call for Special Tracks
Special Tracks of the 49th IEEE Conference on Local Computer Networks
(IEEE LCN 2024)
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Caen, Normandy, France, October 8-10, 2024 http://www.ieeelcn.org

# Submission deadline: June 15, 2024 (FIRM)

# Scope
The IEEE LCN 2024 conference will have several Special Tracks that
comprise a set of papers focused on specific topics. All special track
papers will conform to the LCN Conference requirements and will be
included in the conference proceedings.

Accepted papers of the special track will be part of the IEEE LCN
proceedings and IEEE Xplore. All published papers must include title,
complete contact information for all authors, abstract, and keywords on
the cover page. IEEE reserves the right to remove papers from IEEE
Xplore that are not presented at the conference. Please visit the links
below to get additional information about the special tracks.

# LCN Special Tracks:

6GQ: IEEE LCN 2024 Special Track on Postquantum Cryptography and Quantum
Communication for 6G Networks
Website: https://sites.google.com/view/6gq2024/home
Submission: https://edas.info/N32348

ASDRoNet: 1st IEEE LCN Special Track on Algorithmic Solutions for Drone-
and Robot-based Networks (ASDRoNet) 2024
Website: https://asdronet2024.github.io
Submission: https://edas.info/N32354

MarCaS: 2nd IEEE LCN Special Track on Maritime Communication and
Security (MarCaS)
Website: https://www.garykessler.net/lcn_marcas/index.html
Submission: https://edas.info/N32137

DRIN: IEEE LCN Special Track on DevSecOps in Resource-Constrained IoT
Networks
Website: https://tinypart.github.io/IEEE-LCN-2024-Special-Track-DRIN/
Submission: https://edas.info/N32401

Best Regards

VISART VII “Where Computer Vision Meets Art”

VISART VII “Where Computer Vision Meets Art”
http://visarts.eu

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7th Workshop on Computer VISion for ART Analysis
In conjunction with the 2024 European Conference on Computer Vision (ECCV),
MiCo Milano, Milano, Italy

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IMPORTANT DATES
Full & Extended Abstract Paper Submission: July 3rd 2024
Notification of Acceptance: August 12th 2024
Workshop: September 29th/30th 2024
Camera-Ready Paper Due: August 22nd 2024

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Following the success of the previous editions of the Workshop on Computer VISion for ART Analysis held in 2012, `14, `16, `18, `20, `22, we present VISART VII. VISART will continue its role as a forum for the presentation, discussion, and publication of Computer Vision (CV) techniques for the understanding of art. The explosion in the generative art, digitization of artworks, and digitally-born art highlights the importance of application in the overlap between CV and art; such as ways to reason, connecting language, structuring data (i.e. databases) for Art to Cultural Heritage.

As with the prior edition, VISART VII offers two tracks:

1. Computer Vision for Art – technical work (standard ECCV submission, 14 page excluding references, appearing in proceedings)
2. Uses and Reflection of Computer Vision for Art (Extended abstract, 4 page, excluding references, NOT appearing in proceedings)

New in this edition of the VISART Workshop we introduce a panel session with renowned experts from Computer Vision and Digital Humanities.

The recent explosion in the digitisation of artworks highlights the concrete importance of application in the overlap between CV and art; such as the automatic indexing of databases of paintings and drawings, or automatic tools for the analysis of cultural heritage. Such an encounter, however, also opens the door both to a wider computational understanding of the image beyond photo-geometry, and to a deeper critical engagement with how images are mediated, understood or produced by CV techniques in the `Age of Image-Machines' (T. J. Clark). Submissions to our first track should primarily consist of technical papers, our second track, therefore encourages critical essays or extended abstracts from art historians, artists, cultural historians, media theorists and computer scientists.

The purpose of this workshop is to bring together leading researchers in the fields of computer vision and the digital humanities with art and cultural historians and artists, to promote interdisciplinary collaborations, and to expose the hybrid community to cutting-edge techniques and open problems on both sides of this fascinating area of study.

This workshop in conjunction with ECCV 2024, calls for high-quality, previously unpublished, works related to Computer Vision and Cultural History. Submissions for both tracks should conform to the ECCV 2024 proceedings style and will be double-blind peer-reviewed by at least three reviewers. However, extended abstracts will not appear in the conference proceedings. Papers must be submitted online through the CMT submission system at: https://cmt3.research.microsoft.com/VISARTVII2024

TOPICS include but are not limited to:

– Art History and Computer Vision
– Image and visual representation in art and visual culture
– 3D reconstruction from visual art or historical sites
– Approaches for generative art
– 2D and 3D human pose and gesture estimation in art
– Multi-modal multimedia systems and human-machine interaction
– Multimedia databases and digital libraries for artistic research
– Visual Question & Answering (VQA) or Captioning for Art
– Interactive 3D media and immersive AR/VR for cultural heritage
– Computer Vision for cultural heritage
– Big-data analysis of art Media content analysis and search
– Media content analysis and search

ORGANIZERS:

Amanda Wasielewski, Uppsala University
Nanne van Noord, University of Amsterdam
Noa Garcia, Osaka University
Peter Bell, University of Marburg
Stuart James, Durham University & UCL DH

The Fourth Intelligent Cybersecurity Conference, 17–20 September, 2024 | Valencia, Spain.

The Fourth Intelligent Cybersecurity Conference (ICSC2024)

Hybrid Event

https://www.icsc-conference.org/2024/

17–20 September, 2024 | Valencia, Spain.

Technically Co-Sponsored by IEEE Spain Section

ICSC 2024 CFP:

In today’s world, connected systems, social networks, and mobile communications create a massive flow of data, which is prone to cyberattacks. This needs fast and accurate detection of cyber-attacks. Intelligent systems and Data analytics are important components when issues pertaining to effective security solutions become the subject of discussion. This is because there is an impending need for high volume and high velocity data from different sources to detect anomalies as soon as they are discovered. This will help reduce significantly the vulnerability of the systems as well as improve their resilience to cyber Attacks. The capability to process large volumes of information at real time through utilization of tools for data analytics has many advantages vital for analysis of cybersecurity systems. Moreover, the data collected from sophisticated intelligent systems, cloud systems, networks, sensors, computers, intrusion detection systems could be used to identify vital information. This information could be used to detect how vulnerable the systems are to risk factors, and so effective cyber security solutions can be developed. In addition to that, the utilization of data analytics tools in the cybersecurity field gives new insights through considering factors such as zero-day attack detection, real time analysis, resource constrained data processing among others.

The Intelligent Cybersecurity Conference (ICSC) addresses the use of advanced intelligent systems in providing cybersecurity solutions in many fields, and the challenges, approaches, and future directions. We invite the submission of original papers on all topics related to Intelligent Systems for Cybersecurity, with special interest in but not limited to:

  • Intelligent systems for effective detection of cyber-attacks
  • Advanced Intelligent systems and data analytics for Cloud/Edge systems security
  • Malware detection using intelligent systems Vulnerability assessment
  • Intelligent systems for intrusion detection in Internet of Things (IoT) systems
  • Network forensics using intelligent systems and data analytics
  • Data Analytics for privacy-by-design in smart health
  • Datasets, benchmarks, and open-source packages
  • Recourse efficient deep learning
  • Adversarial Machine learning and Backdoor Attacks
  • Blockchain Systems for Cyber Security
  • Trustworthy AI Systems
  • Intelligent Systems for Misinformation Detection

  Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the ICSC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion.

Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages.

Important Dates:

  • Paper submission deadline: June 15, 2024 (Extended)
  • Notification of acceptance: July  25, 2024
  • Camera-ready Submission: August 5, 2024

 

Contact:

Please send any inquiry on ICSC to: info@iccns-conference.org

 

Call For Papers – 36th IEEE International Conference on Tools with Artificial Intelligence – Oct. 28 – Oct. 30 2024 – Herndon, VA, USA

 
The 36th IEEE International Conference on Tools with Artificial Intelligence (ICTAI) organizing committee is inviting you to submit your research papers. The conference will be held in person, from October 28th till October 30th, 2024, in Herndon, Virginia, USA.
 
Topics include (but not limited to):
  1. AI Foundations
  2. AI in Domain-specific Applications
  3. AI in Computer Systems
  4. AI in Data Analytics, Data Mining and Big Data
  5. AI in Smart Cities
  6. Machine Learning
  7. Knowledge Representation, Reasoning, Cognition
  8. AI and Decision Systems
  9. Uncertainty in AI
  10. Natural Language Processing
  11. AI and Societal Impact
 
Important Dates
Paper submission: July 1, 2024
Acceptance notification: August 18, 2024
Camera-ready: September 16, 2024
Conference: October 28th – October 30th
 
To submit your manuscript, please use the following link: https://easychair.org/conferences/?conf=ictai2024
 
For more information, please don't hesitate to contact the General Chair Dr. Manolis Koubarakis (National and Kapodistrian University of Athens) at koubarak@di.uoa.gr, Co-Program Chairs Dr. Nikolaos Bourbakis (BAIF) at drbourbakis@gmail.com and Dr. Jessica Lin (George Mason University) at jessica@gmu.edu and Financial & Registration Chair Dr. Alexiou (Kennesaw State University) at malexiou@kennesaw.edu.
 
We look forward to your submissions.
 
Sachin Sharma
ICTAI 2024 Publicity Chair

CFP_9th International Workshop on Multimedia Assisted Dietary Management (MADiMa), Kolkata, India, 1st-5th December 2024

The 9th International Workshop on Multimedia Assisted Dietary Management (MADiMa2024) is organized in conjunction with the 27th International Conference on Pattern Recognition (ICPR2024). 
Website: www.madima.org 
Place: Kolkata, India 
Date: December 1st-December 5th, 2024
Submission Deadline: 30th August 2024
RATIONALE
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Recent advancements in artificial intelligence, wearable technologies, big data analytics, and healthcare technology in general have ushered in the era of mHealth, revolutionizing healthcare services. This transformation is not only reshaping the way we approach healthcare but also paving the way for personalized nutrition, healthier lifestyles to prevent diseases and achieve effective self-management of chronic conditions.  A significant challenge in nutrition research is acquiring high-quality, precise nutrition information in an economically viable manner. Mobile and wearable technologies, with their flexibility and efficiency, coupled with the capabilities of artificial intelligence enable the analysis of large volumes of multi-level and heterogeneous data, pattern detection, risk prediction, and intervention guidance. This fusion holds immense potential for promoting healthier dietary habits and behaviors and facilitating communication between caregivers and care recipients. The need for accurate, automatic, real-time, and personalised dietary advice has been recently complemented by advances in artificial intelligence and computer vision, permitting the development of end-to-end pipelines for food content analysis. The proposed solutions rely on the analysis of multimedia content captured by wearable sensors, smartphone cameras, barcode scanners, RFID readers and IR sensors, along with already established nutritional and recipe databases and may require some user input. In the field of nutritional management, multimedia not only bridges diverse information and communication technologies, but also computer science with medicine, nutrition, and dietetics. This confluence brings new challenges and opportunities on dietary monitoring, assessment, and management.
SCOPE
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The main scope of MADiMa2024 is to bring together researchers from the diverse fields of engineering, computer science and nutrition who investigate the use of information and communication technologies for better monitoring, assessment, and management of food intake. The combined use of multimedia, machine learning algorithms, ubiquitous computing and mobile technologies permits the development of applications and systems able to monitor the dietary behavior, analyze food intake, identify eating patterns, and provide feedback to the user towards healthier nutrition. The researchers will present and demonstrate their latest progress and discuss novel ideas in the field. Besides the technologies used, emphasis will be given to the precise problem definition, the available nutritional databases, the need for benchmarking multimedia databases of packed and unpacked food and the evaluation protocols.
TOPICS
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Topics of interest include (but are not limited to) the following:
– Supervised food recognition (Fine-grained/Transfer/Noisy-label Learning)
– Unsupervised food recognition (Self-supervised/Multi-modal Learning)
– Out-of-distribution food detection (Anomaly Detection, Open-Set Learning)
– Food image synthesis with generative models (GANs, Diffusion Models, etc.)
– Food detection and segmentation (vision foundation models, SAM, etc.)
– LLMs/LVMs to automatize food composition analysis (recipe comprehension, database reading, nutritional content estimation, etc.)
– Monocular/Binocular depth estimation from mobile/static sensors
– 3D point cloud processing and analysis for food volume estimation
– Augmented/Virtual reality for food analysis and portion estimation
– Benchmarks, evaluation protocols, and metrics for the above topics
IMPORTANT DATES
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– Paper submission deadline: August 30th, 2024
– Notification of acceptance: September 20th, 2024
– Camera ready deadline: September 26th, 2024
WORKSHOP CHAIRS
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– Stavroula Mougiakakou, University of Bern, Switzerland
– Keiji Yanai, The University of Electro-Communications, Tokyo, Japan
– Dario Allegra, University of Catania, Italy
– Yoko Yamakata, The University of Tokyo, Japan
– Lorenzo Brigato, University of Bern, Switzerland
For more information, please visit the workshop's website at www.madima.org.
The workshop chairs,
Stavroula Mougiakakou
Keiji Yanai
Dario Allegra
Yoko Yamakata
Lorenzo Brigato
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