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ACDSA 2026 : 3rd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications

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Link: https://acdsa.org/
 
When Feb 5, 2026 - Feb 7, 2026
Where Boracay Island, Philippines
Submission Deadline Nov 10, 2025
Notification Due Nov 30, 2025
Final Version Due Dec 29, 2025
Categories    big data analytics   computational intelligence   data mining   machine learning
 

Call For Papers

We are delighted to announce the “International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2026)” which will be held on 05-07 February 2026 in Boracay Island, Philippines. The ACDSA is a peer-reviewed international conference that aims to bring together scientists, academics, researchers, and industrial representatives to exchange the ideas, to disseminate the high quality research results and to present the new developments on the topics related to Artificial Intelligence, Control, Data Sciences and applications. The conference will feature a comprehensive technical program offering numerous technical sessions with papers showcasing the latest technologies, and applications.

* The conference will be hybrid mode. Authors can present their papers physically or online.

* All submissions will be subject to peer reviews and accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. ACDSA 2024 and ACDSA 2025 papers have already published in IEEE Xplore, see past papers at https://ieeexplore.ieee.org/xpl/conhome/1852009/all-proceedings

A 1-page PDF flyer is at https://acdsa.org/cfp

The topics of the conference include (but are not limited to):
AI Ethics and Governance
Artificial General Intelligence
Artificial Intelligence
Augmented and Virtual Reality
Autonomous Systems
Big Data Analytics
Bioinformatics and AI
Blockchain
Cloud Computing
Computational Intelligence
Computer Vision
Computer-Aided Diagnosis
Cryptography
Cybersecurity
Data Mining
Data Science
Deep Learning
Digital Signal Processing
Edge Computing
Embedded AI Systems
Evolutionary Computation
Explainable AI (XAI)
Fuzzy Logic Systems
High-Performance Computing
Human-Computer Interaction
Intelligent Information Retrieval
Intelligent Systems
Internet of Things (IoT)
Knowledge Representation
Machine Learning
Multi-Agent Systems
Natural Language Processing
Neural Networks
Pattern Recognition
Predictive Modeling
Quantum Computing
Real-Time Data Processing
Recommender Systems
Reinforcement Learning
Robotics and Automation
Sentiment Analysis
Smart Cities
Smart Manufacturing
Speech Recognition
Swarm Intelligence
Time Series Forecasting
Virtual Assistants and Chatbots

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