2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2024)

Call For Papers

CALL FOR PAPERS


The topics of interest for submission include, but are not limited to:

Artificial Intelligence

Adaptive Control

Agent and Multi-Agent Systems

AI Algorithms

Artificial Intelligence Tools and Applications

Artificial Neural Networks

Automatic Control

Automatic Programming

Bayesian Networks and Bayesian Reasoning

Capsule Neural Networks

Cognitive Systems

Cybersecurity

Data Mining and Integration

Evolutionary Algorithms

Fuzzy Logic and Soft Computing

Human-Machine Interaction

Information Retrieval and Fusion

Intelligent Databases

Intelligent Estimation and Classification Modes

Intelligent Information Systems

Intelligent User Interfaces

Machine Learning and perception

Virtual Reality 

Mechatronics

Model-Based Reasoning

Multidisciplinary Topics and Applications

Natural Computing

Natural Language Processing

Parallel Processing

Programming Languages

Pattern Recognition

Mobile Sensor Networks

Robotics

Computer Vision

Signal and Image Processing

Natural Language Processing

 


Big Data

Foundational Models for Big Data

Algorithms and Programming Techniques for Big Data Processing

Statistical Models and Learning

Representation Formats for Multimedia Big Data

Data Security and Privacy

Data Classification and Clustering

Big Data Analysis Search and   Mining

5G and Networks for Big Data

Blockchain and Data Distribution

Data science

Big data search

Memory systems

Deep learning

High-performance computing

Network infrastructure

Multi-core computing

Big data applications

Fault tolerance and reliability

Big data systems

Big data privacy and security

Big data archiving and preservation

Visual graphics



Algorithms

Mathematical and Computer Modelling

High-Performance Computing

Data Structures

Advanced Numerical Algorithms

Randomized Algorithms

Approximation Algorithms

Combinatorial Optimization

Quantum Computing

Parallel and Distributed Algorithms

Graph Drawing and Graph Algorithms

Deep Learning Algorithms

Algorithms and Systems for Big Data Search