International Conference on Future Machine Learning and Data Science on November 20-23, 2024 in Penrith, Australia

The IEEE International 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.

CONFERENCE THEMES

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