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FMLDS 2024 : International Conference on Future Machine Learning and Data Science


When Nov 20, 2024 - Nov 23, 2024
Where Sydney
Submission Deadline May 31, 2024
Notification Due Jun 30, 2024
Final Version Due Oct 31, 2024
Categories    machine learning   data science   artificial intelligence   deep learning

Call For Papers

The Conference on Future Machine Learning and Data Science, Sydney, 2024 (FMLDS-2024) will bring international and national experts in Artificial Intelligence, Computer Vision, Future Machine Learning Technologies and Data Science.

Future Machine Learning
• Explainable Artificial Intelligence
• Quantum Computing
• Big Data Model
• No-Code Environment
• Reinforcement Learning

Advancements of Machine Learning
• Improved Internet Search
• Chatbots
• ChatGPT
• Transportation Trends
• ML in Music, Art and Leisure

Pattern Recognition
• Fuzzy Logic, Learning Theory
• Reasoning with incomplete data
• Set Theory;
• Probabilistic Approaches Computing Paradigms
• Affective Computing
Computer Graphics
• Biometrics
• Aqua Farm
• Low- Level Vision and Image processing
Motion and Tracking
• Robotics
• Phase Array Antennae
• Applications of Radar
• Statistical Methods
• Testing and Performance Evaluation
Bioinformatics and Biomedical Image Analysis
• Bioinformatics
• Video Analysis and Event Recognition
• Signal Processing
• Support Vector Machine
• Bayesian Belief Networks
Data Classification and Regression
• Denoising
• Functional Recovery
• Interpretation and Approximation
• Spectral and Area Based Methods
• Data and Image Compression
Data Science and Big Data
• Cloud Computing
• High Performance Computing
• Scalable Computing
• Computations on GPU
• Information Retrieval
Cyber Security and Privacy for Big Data
• Cyber-attacks
• Cyber Security
Knowledge Discovery, Integration and Transformation
• Social Epidemiology, algorithms in Neuroscience
• Neuro-psychoanalysis
Social Media, Social Network and Social Data
• Classification of Diseases
• Cladistics
• Genomic Sequencing
• Developmental Biology
• Origin of Life
Financial Machine Learning and Data Mining
• Financial Engineering & Economics Applications
• Portfolio Optimization and Asset Allocation
• Algorithmic and Quantitative Trading
• Financial Data Analysis
Internet of Things
• IoT and Artificial Intelligence techniques
• IoT and Personal Data Protection
• Security and Privacy in IoT

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