2023 5th International Conference on Pattern Analysis and Intelligent Systems PAIS

活动简介

About Communication, Networking and Broadcast Technologies; Computing and Processing
Keywords:Data warehouses and big data,Artificial Intelligence and Data Sciences,Computer Vision and Ambient Intelligence,Networking and Internet of Things,Cyber Security,
Scope:The fifth edition of the International Conference on Pattern Analysis and Intelligent Systems (PAIS’23) will be held on October 25-26 in Sétif, Algeria. PAIS’23 is a forum that presents design methodologies, techniques, and experimental results in emerging computer science technologies. The conference provides a platform for exchanging ideas and successes in various topics, including systems, neural networks, soft computing, data mining and knowledge discovery, opinion mining ontology, machine learning, smart measurement, cloud computing, data science, and knowledge, and other contemporary methods in automated media and technology. The technical program of the conference will consist of plenary sessions, regular technical sessions, and special events dedicated to different groups of participants, including students, entrepreneurs, and industries.
Sponsor Type:3; 9

组委会

Committees Chairs
Keynote Chair
Dr. Lyazid TOUMI

Technical Program Committee Chairs
Track 1: Data warehouses and big data
Dr. Lyazid Toumi
Dr. Chabane Khemtout
Dr. Chafia Kara-Mohamed

Track 2: Artificial Intelligence and Data Sciences
Prof. Abdelouahab Moussaoui
Dr. Abdelaziz Lakhfif
Dr. Fouaz Berahail

Track 3: Computer Vision and Ambient Intelligence
Dr. Moussa Semchedine
Dr. Safia Djemame
Dr. Farid Ayache

Track 4: Networking and Internet of Things
Dr. Mansouri Houssem
Dr. Gherbi Cherihane
Dr. Fateh Seghir

Track 5: Cyber Security
Prof. Mekhlouf Derdour
Dr. Ahlem Drif
Dr. Sara Cherbal

Organizing Chairs
Dr. Moussa Semchedine
Dr. Yacine Slimani

Publication Chairs
Dr. Lyazid Toumi
Prof. Makhmouf Derdour
Prof. Salim Bouamama

Publicity Chairs
Dr. Samir Belbal
Dr. Safia Djemame
Ms. Samia Kharchi

Treasurers
Dr. Houceme Mansouri
Dr. Lakhdar Goudjil

征稿信息

重要日期

2023-07-29

摘要截稿日期

2023-09-10

摘要录用日期

征稿范围

Track 1 : Data warehouses and big data

Conceptual model foundations for big data
Parallel DBMS technology
Scalability and parallelization using Map-Reduce, Spark, and related systems
Query processing and optimization
Semantics for big data intelligence
Data warehouse and data lake architectures
Integration of data warehousing, OLAP cubes, and data mining
NoSQL storage systems
Cloud infrastructures for big data
Big data storage and indexing
Big data analytics: algorithms, techniques, and systems

Track 2 : Artificial Intelligence and Data Sciences

Neural Networks
Machine learning
Deep learning
Reinforcement Learning
Agents and Multi-agent Systems
Algorithmic Game Theory
Large scale Machine Learning
Decision Management
Natural Language Processing
Computational Optimization
Sentiment Analysis

Track 3 : Computer Vision and Ambient Intelligence

Smart Cities
Smart Grids and Energy Networks
Sensing and Sensor Networks
Ambient Assisted Living
Smart Healthcare
Context-aware pervasive systems
Human-Computer Interaction
Geographic Information Systems (GIS)
Video Analysis
Augmented/Virtual Reality
Image Processing and Artificial Vision Application

Track 4 : Networking and Internet of Things

Edge AI and edge computing applications and technologies
Scalable IoT Architectures including Semantic Interoperability and the Web of Things
Novel IoT Communication Technologies and Protocols
Energy Efficiency and Sustainability in IoT including battery-less and biodegradable computing
Small and Large-scale pilots of IoT Sensing, Signal Processing, Actuation and Analytics
Safety, Security and Privacy Risks and Guarantees in IoT and Cyber-Physical Systems
Database and Distributed Ledger Technologies for IoT
Human Interaction with IoT IoT-enhanced AR/VR/MR, Metaverse, and Games
Large-Scale IoT Analytics and Internet of Behaviors
Transient Large-Scale Networks including V2V or V2X
Real-world IoT Deployments, Testbeds and Datasets