5th ICDICI 2024 – Proceedings by IEEE Xplore (Scopus) – November 18-20, 2024 | SCAD College of Engg. & Technology

September 27th, 2024 Daniela Lopez de Luise


5th International Conference on
Data Intelligence and Cognitive Informatics

18-20, November 2024   ✦   ICDICI 2024

Organized by
SCAD College of Engineering and Technology
Tirunelveli, Tamil Nadu, India

We are pleased to invite you to 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2024), taking place on November 18th – 20th, 2024 in Tirunelveli, India. This conference is designed to equip professionals across diverse fields to enhance the research knowledge on computing, communication and informatics.

5th ICDICI 2024 invites new submissions in the areas mentioned in Call For Papers

Submission Mode: Send your articles to icdici.conf@gmail.com
Article length should be minimum 6 pages maximum 8 pages.

5th ICDICI 2024 Publication Details
The conference proceedings will be published in IEEE Xplore
Conference CFP @ IEEE: https://conferences.ieee.org/conferences_events/conferences/conferencedetails/62993
IEEE Indexing Details: Scopus (Elsevier); Web of Science (Clarivate Analytics); ProQuest IET; NLM; CrossRef 


For any conference related queries, contact us at mail  icdici.conf@gmail.comuser  +91-9600368297

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Data Visualization Using R – Livestream Seminar

September 26th, 2024 Daniela Lopez de Luise
Code Horizons presents Data Visualization Using R, a 3-day seminar taught by Kieran Healy on October 17-19. 
This seminar is an intensive, hands-on introduction to the principles and practice of data visualization. You will learn to produce, refine, and present effective visualizations generated from datasets, summary tables, or the output of statistical models using ggplot and R. Topics covered include plotting continuous and categorical variables; layering information on graphics; faceting grouped data to produce effective “small multiple” plots; transforming data to easily produce visual summaries on the graph; creating maps. 
This livestream seminar will be held via Zoom, but you can also join asynchronously by viewing the recorded videos of each session.
Please share this information with anyone who may be interested. Email kaity@statisticalhorizons.com with any questions.

Thanks,

Kaity

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IARIA Congress 2025 || July 6 – 10, 2025 – Venice, Italy

September 26th, 2024 Daniela Lopez de Luise

 

IARIA Congress 2025

The 2025 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

July 6 – 10, 2025 – Venice, Italy

 

Invitation:

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

IARIA Congress 2025, The 2025 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

IARIA Congress 2025 is scheduled to be July 6 – 10, 2025 in Venice, Italy

Submission (full paper) deadline: March 18, 2025

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals.

All events will be held in a hybrid mode: on site, prerecorded videos, voiced presentation slides, pdf slides.

Contribution formats:

  • regular papers [in the proceedings and digital library]
  • short papers (work in progress) [in the proceedings and digital library]
  • ideas: two pages [in the proceedings and digital library]
  • extended abstracts: two pages [in the proceedings and digital library]
  • posters: two pages [in the proceedings and digital library]
  • posters: slide only [slide-deck posted on www.iaria.org]
  • presentations: slide only [slide-deck posted on www.iaria.org]
  • demos: two pages [posted on www.iaria.org]

Extended versions of selected papers will be published in IARIA Journals.

Print proceedings will be available via Curran Associates, Inc.

Articles will be archived in the free access ThinkMind Digital Library.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions. Before submission, please check and comply with the Editorial Rules.

IARIA Congress 2025 Tracks

A. Learning/Social/Health/Human-Machine/Metaverse

Learning: Education, Learning, Online learning, etc.
Social: Social Networking, Fake news, Digital awareness, Personal devices, etc.
Health: Healthcare, Well-being, Medical Systems, Medical informatics (AI, Extended reality, Big Data, Personal Data protection), Remote medicine, Disorders, Body self-consciousness, Personal and assisted living, etc.
Human-machine: Human-centric Systems, Personalized interfaces Citizen-centered systems, Personalized Interfaces, Human-machine interaction, etc.
Metaverse: Virtual Worlds, Immersion, Augment Reality, Extended reality applications, etc.

B. Data/Software/Multimedia/Visualization

Data: Data Science, Big/Huge Data, Data-as-a-Service, Data Visualization, Data patterns, etc.
Software: Software Engineering, Requirements, Testing, Validation, Simulation, Platforms, etc.
Multimedia: Multimedia Content, 3D Multimedia, Social multimedia, Multimedia Analytics, Multimedia Search, Multimedia Networking and Streaming, etc.
Visualization: Computer graphics, Scientific visualization, Animation, Medical Visualization, etc.

C. Systems/Cloud/Networks/Internet/IoT/Signal

Systems: Software-based Systems, Autonomous Systems, Systems of Systems, Complex systems, Embedded systems, On-chip systems, Real-time systems, Scalability, etc.
Cloud: Cloud and Fog/Edge/Cloudlets Computing, Virtualization, Softwarization, Cloud-based applications, etc.
Networks: Networks, Protocols, Networked Services, Cognitive management, SDN/NFV, Slices, High-speed networks, etc.
Internet: Basic Internet, Tactile Internet, Haptic Internet, Holographic Internet, Dark Internet, etc.
IoT: Internet of Things, Connected appliances, Wearable devices, IoT Hubs, IoT-based security
Signal: Signal Processing/Communications, mmWave, 5G/6G, Terahertz, Spatial signals, Medical signal applications, etc.

D. Robotics/Intelligence/Sensing/Security/Vehicles

Robotics: Industrial Robotics, Humanoids, Cognitive robotics, Evolutionary swarm robotics; Robots-humans cohabitation; Mobile assistive robots, etc.
Intelligence: Artificial Intelligence, Machine Learning, Deep Learning, Datasets, Thinking Patterns, Cognitive decisions, Deep Thinking, Explainability, etc.
Sensors: New types of sensing, Sensing systems, Precision agriculture, Eco-systems sensing, Disaster sensing, etc.
Security: Cybersecurity, Blockchain, Security, Privacy, Data protection, Personal data, AI-enabled Security, etc.
Vehicles: Connected and Autonomous Vehicles, AI-based vehicles, Manned and Unmanned Autonomous Vehicles, etc.

E. Cities/Energy/Mobility/Wireless

Smart Cities: Smart Cities Systems, Urban Planning, Urban computing, Crowd tracking, Traffic sensing, etc.
Energy: Energy Systems, Energy supply, Green Energy. Electric vehicles, Power system protection, Power Grid, etc.
Mobility: Intelligent Transportation, Mobile Web of Things, Mobile Cloud services, Mobile social media, Mobile services, Mobile data, etc.
Wireless: Wireless communications, Wireless multimedia, Mobile computing, mmW wireless, 5G Wireless, Emergency wireless communications; Wireless real-time communications, etc.

 

Publicity Chairs:

Sandra Viciano Tudela, Universitat Politecnica de Valencia, Spain
Lorena Parra Boronat, Universitat Politecnica de Valencia, Spain
José Miguel Jiménez, Universitat Politecnica de Valencia, Spain

 

IARIA Publicity Board 
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Early-bird registration for ICMI 2024

September 26th, 2024 Daniela Lopez de Luise

Dear all,

This is a friendly reminder that the early-bird registration for this year's ICMI conference closes tomorrow, 20 September. For more information, please visit https://icmi.acm.org/2024/registration/

https://icmi.acm.org/2024/registration/

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[Pattern Analysis and Applications] — Special Issue on Pedestrian Attribute Recognition and Person Re-Identification

September 26th, 2024 Daniela Lopez de Luise
Special Issue on Pedestrian Attribute Recognition and Person
Re-Identification
Pattern Analysis and Applications
Website: https://link.springer.com/collections/ifbjhfcbbh

Submission Deadline: 31 January 2025

========================

=== Call for papers ===

Pedestrian attributes recognition and person re-identification from
images and videos is nowadays a relevant problem in several real
applications, such as forensics, digital signage, social robotics,
business intelligence, people tracking and multi-camera person
re-identification.
In terms of neural network architecture, there is still a limited use of
visual attention mechanisms, which could allow for more accurate and
efficient part localization and recognition; furthermore, recent
advanced fully convolutional network architectures or based on
transformers could be explored. Newly designed loss functions could be
adopted to deal with unbalanced data, while multi-task learning
approaches may represent an excellent solution to exploit the
interdependencies between the attributes while maintaining the
processing time unchanged as the number of attributes increases.
The efficiency is another aspect that is important to consider, since
fast person re-identification is crucial for people tracking and
multi-camera person re-identification in crowded scenarios such stations
or airports; to this aim, in addition to multi-task architectures,
end-to-end solutions for people detection, re-identification and
tracking would be of great interest to the scientific community.
The robustness of these methods should be investigated in various
background, resolution, and illumination conditions, considering that
these variations can interfere with the recognition of pedestrian
attributes and affect the performance of person re-identification;
datasets and benchmark soliciting the algorithms in the wild would be a
significant contribution to this aim. To achieve this robustness,
multi-frame or multi-modal inputs may be considered; video-based or
multi-sensor (RGB camera, thermal camera, depth camera, LIDAR)
pedestrian attribute recognition and person re-identification approaches
could exploit the additional information to improve accuracy and
robustness of real applications. Finally, it is worth mentioning that
the very recent Pedestrian Attribute Recognition contest (PAR 2023) was
won by a method based on Visual Question Answering; this surprising and
impressive result suggests that the investigation of this type of
methods or other foundation models can be a very promising line of
research in this field.
Considering the relevance of the topic for the possible exploitation in
real applications and all the above-mentioned possible directions of
research and improvements of existing algorithms, the special issue has
the goal of collecting innovative scientific papers to advance the state
of the art in the recognition of pedestrian attributes and person
re-identification. The topic and the innovative contributions in this
field are aligned with the aims and scope of the journal and, thus, can
be relevant for its audience and readership.

Topics of interest of the proposed Special Issue, related to pedestrian
attribute recognition and person re-identification, are but not limited
to:

• Machine learning algorithms for human attribute recognition
• Deep learning models for people detection and classification
• Appearance based people tracking
• Multi-camera people re-identification
• Multi-frame person retrieval
• Multi-modal people detection and re-identification
• Visual question answering applied to human attributes
• New datasets and benchmark for pedestrian attribute recognition and
person re-identification
• Novel applications and case studies in surveillance scenarios

========================

=== Guest editors ===

Modesto Castrillon-Santana (University of Las Palmas De Gran Canaria,
Spain)
Antonio Greco (University of Salerno, Italy)
Nicolai Petkov (University of Groningen, The Netherlands)
Bruno Vento (University of Napoli Federico II, Italy)

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