Información de la conferencia
AIDE 2025: International Conference on Artificial Intelligence and Data Engineering
http://aide2025.in/
Día de Entrega:
2024-11-10
Fecha de Notificación:
2024-12-25
Fecha de Conferencia:
2025-02-06
Ubicación:
Karnataka, India
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Solicitud de Artículos
AIDE-2025 is being organized by N.M.A.M. Institute of Technology, Nitte, Karnataka, India. A series of Keynote Talks, followed by paper presentations have been planned to foster strong networking among the delegates. AIDE-2025 solicits paper submissions across four tracks as listed below. Kindly note that the submissions are not limited to the topics mentioned in each track.

To submit papers, you can log into your CMT at : https://cmt3.research.microsoft.com/AIDE2025

Scope

Topics of interest include all aspects of Artificial Intelligence and Data Engineering including, but not limited to:

Artitficial Intelligence

Deep Learning
Neural Networks
Machine Learning
Computational Intelligence
Cognitive Computing
Fuzzy Logic
Expert Systems
Brain-machine Interfaces
Ant Colony Optimization
Natural Language Processing
Bioinformatics and Computational Biology
Cloud Computing

Machine Vision & Robotics

Human Computer Interaction
Pattern Recognition
Computer Vision
Geographic Information Systems
Signal Processing
Segmentation Techniques
Augmented Reality
Virtual Reality
Humanoid Robots
Autonomous Robots
Mobile Robots
Walking and Climbing Robots

Ambient Intelligence

Smart Cities
Smart Healthcare
Smart Agriculture
Internet Of Things
Ubiquitous Computing
Affective Computing
Ambient Assisted Living
Intelligent Transportation
Agents and Multi-agent Systems
Sensing and Sensor Networks
Intelligent Database System

Data Engineering

Big Data Challenge
Data Science
High Performance Computing
Data Warehousing System Architecture
Data Mining And Knowledge Discovery
Data Privacy and Security
Distributed, Parallel, and P2P Data Processing and Management
Information Extraction and Retrieval
Data Visualization and Interactive Data Exploration
Scalable Analytics, Graph Data, Web Data and Social Networks
Strings, Texts, and Keyword Search
Benchmarking, Performance Modelling, and Tuning
Última Actualización Por Dou Sun en 2024-10-07
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