Conference Information
FMLDS 2024: IEEE International Conference on Future Machine Learning and Data Science
https://www.fmlds.org/Submission Date: |
2024-09-08 Extended |
Notification Date: |
2024-09-22 |
Conference Date: |
2024-11-20 |
Location: |
Sydney, Australia |
Viewed: 1478 Tracked: 1 Attend: 0
Call For Papers
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. The conference will be held in a hybrid format, both physical and virtual. The physical venue is the Penrith Campus of Western Sydney University in Sydney, Australia. The virtual sessions will be conducted via Zoom. All the papers submitted to IEEE FMLDS 2024 will be reviewed by at least two independent reviewers and if accepted it will be published in the IEEE Xplore Digital Library. Selected papers with at least a 40% extension will be considered for publication in the Special Issue on Emerging Applications of Machine Learning in Smart Systems, provided they meet the journal's acceptance criteria. AWARDS/GRANTS • Full or Partial Travel Grant • Full of Partial Registration Waiver • WIE - Women in Engineering Award • Best Paper Award 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 KEY DATES Closing date for paper submission: 31 August, 2024 Notification of acceptance/rejection to author: 15 September, 2024 Final (camera ready) paper due: 30 October Early bird registration opens: 17 August, 2024 Conference date: 20 - 23 November 2024 KEYNOTE SPEAKERS Professor Shui Yu, University of Technology Sydney, Australia Professor Sanjay Jha, University of New South Wales, Australia Professor Tanveer Zia, Notre Dame University, Australia Professor Mohammed Bennamoun, University of Western Australia, Australia Professor Tun-Wen Pai, National Taipei University of Technology, Taiwan Dr Yoo Jang Hee, Electronics and Telecommunication Research Institute, Republic of Korea CO-ORGANIZERS Western Sydney University, Australia Charles Stuart University, Australia Melbourne Institute of Technology, Australia University of Notre Dame, Australia University of Rajshahi, Bangladesh
Last updated by MD BASHAR in 2024-08-26
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Journal of Management Information Systems | 7.700 | Myron E. Sharpe |
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