[Haskell] International Conference on Artificial Intelligence Revolutions (AIR 2024) - Roanne, France, October 30-31, 2024 [Deadline extended to July 10th]

amjad.el.khatib at univ-st-etienne.fr amjad.el.khatib at univ-st-etienne.fr
Wed Jun 12 12:22:03 UTC 2024


Call for papers

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

International Conference on Artificial Intelligence Revolutions (AIR 2024) 

Roanne, France, October 30-31, 2024

 <https://confscience.com/air/> https://confscience.com/air/  

 

Call for papers

We would like to remind you that the final submission date is extended to 10
July 2024

Apologies for Cross-posting

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


International Conference on Artificial Intelligence Revolutions (AIR 2024)

Roanne, France, October 30-31, 2024

https://confscience.com/air/ 

All papers accepted in AIR 2024 will be submitted for inclusion into IEEE
Xplore, IEEE Computer Society Digital Library, Scopus,

EI's Engineering Information Index, Compendex, ISI Thomson's Scientific,
ISTP/ISI Proceedings, etc. 

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

IMPORTANT DATES:

- Paper Submission: June 10, 2024 10 July 2024 (extended)

- Acceptance Notification: September 1, 2024

- Final Manuscript Due: October 1, 2024

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

The AIR 2024 conference will be held in Conjunction with:

The International Conference on Borderless Artificial Intelligence and
Quantum Computing (BAIQC 2024)

The International Conference on Intelligence, Sustainability, and Innovation
in Healthcare (ISIH 2024)

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TOPICS:

Authors are invited to submit their original papers to address the topics of
the conference, including but not limited to:

Track 1: Fundamental and Theories

- Theoretical Advances in AI Algorithms

- Machine Learning

- Neural Networks and Deep Learning

- Multi-Agent Systems

- Statistical Learning and Probability in AI

- Natural Language Processing (NLP) Theories

- Symbolic AI and Knowledge Representation

- Explainable AI (XAI)

- Generative AI

- Cognitive Architectures

- Reinforcement Learning Theories

- Protocols and Communication

- Collaborative Environments

- Multi-user and Distributed Systems

- AI and Digital Transformation

- Computer Vision

- Simulation and Virtual Environments

- AI in Design Thinking and Creativity

- AI-driven Innovation Models

 

Track 2: AI and Sustainability

- Circular Economy and AI

- Eco-friendly AI Hardware Design

- Green Computing: Sustainable Data Centers

- Biodiversity Monitoring with AI

- AI for Clean Energy Grids

- Sustainable Transportation Solutions

- Water Resource Management with AI

- Renewable Energy Forecasting with AI

- Carbon Footprint Reduction Strategies

- Smart Buildings and Energy Efficiency

- Waste Sorting and Recycling Automation

- Sustainable Manufacturing with AI

- Eco-conscious Consumer Behavior Analysis

- Climate Data Analytics

- Natural Disaster Preparedness and Response

- Ocean Conservation with AI

- Urban Green Spaces Planning

- AI-driven Pollution Monitoring

- Sustainable Tourism with AI

- E-waste Recycling Innovation

- AI and energy

 

Track 3: AI Transformative Applications

- Algorithmic Trading and Market Predictions

- AI for Financial Inclusion

- AI for marine applications

- AI in Public Health Management

- Predictive Analytics in Epidemiology

- Smart Infrastructure in Urban Development

- Precision Agriculture and AI

- AI-based Disaster Response and Recovery

- AI-driven Climate Resilient Infrastructure

- Smart Traffic Management with AI

- Blockchain in Agriculture Supply Chains

- AI for Earthquake Prediction

- Smart Grids and AI for Energy Distribution

- Autonomous Vehicles

 

Track 4: AI for Drones and UAS

- Sustainable Drone Fleet Management

- AI-powered Urban Air Mobility Solutions

- Innovative Air Traffic Flow Optimization

- AI-driven Weather Resilience in Air Traffic

- Eco-conscious Drone Traffic Control

- Sustainable Communication Networks

- AI Drone-based Surveillance

- Ethical AI in Emergency Response for Drones

- AI for Precision Agriculture Sustainability

- Human-Drone Collaboration

- Sustainable AI-enhanced Search and Rescue

- Sustainable Drone Operations

- Responsible Innovation for Air Traffic Safety

- AI-driven Noise Reduction

- Autonomous Space Probes

 

Track 5: AI and Education

- AI and student innovation

- Adaptive Learning Platforms

- Personalized Tutoring with AI

- Smart Classrooms and AI Integration

- Automated Grading and Assessment

- Virtual Reality (VR) and AI in Education

- AI for Learning Disabilities

- Gamification and AI

- Predictive Analytics in Education

- Ethical Considerations in AI Education

- AI-Enhanced Content Creation

- Chatbots and Virtual Assistants for Students

- AI for Early Childhood Education

- Language Learning with AI

- AI and Educational Research Measuring

- Educational Outcomes with AI

- Education Accessibility with AI

- Responsible AI Education and Training

 

Track 6: Responsible AI

- Fairness and Bias Mitigation in AI Algorithms

- Responsible AI Governance and Regulation

- Privacy-preserving AI Technologies

- Ethical Considerations in AI Decision-making

- Trustworthy AI: Building User Confidence

- AI for Social Justice and Inclusion

- Combating AI-generated Misinformation

- AI-driven Cybersecurity Threat Intelligence

- Secure AI Deployment

- AI Accountability and Liability

- Human Rights and AI

- Algorithmic Transparency and Accountability

- AI in Law and Legal Ethics

- Bias Detection and Mitigation Tools

- Cross-cultural Ethics in AI

- Digital Ethics in Virtual Environments

- Algorithmic Accountability in Criminal Justice

- Responsible Data Management in AI

 

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OUTSTANDING PAPERS:

Based on the peer review scores as well as the presentations at the
conference, the authors of outstanding papers will be invited to extend
their works for a potential publication in journals special issues with high
impact factors.

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PAPER SUBMISSION:

Papers must be submitted electronically as PDF files via easychair
(https://easychair.org/my/conference?conf=air2024).

All papers will be peer reviewed.

Length of Full papers: 6-8 pages long (written in the  IEEE 2-column
conference style)

For more information, please refer to the conference website:
https://confscience.com/air/   

 

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CONTACT

For more information, please send an email to (ahmed.nait at univ-st-etienne.fr
<mailto:ahmed.nait at univ-st-etienne.fr> ) and (nafaa.jabeur at gutech.edu.om
<mailto:nafaa.jabeur at gutech.edu.om> )   

 

 

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