![]() | MLIP - 2022: International Conference on Recend Trends in Machine Learning and Image Processing Hyderabad, India, November 12-13, 2022 |
Conference website | http://mlip.thehinweis.com/ |
Submission link | https://easychair.org/conferences/?conf=mlip2022 |
Submission deadline | September 25, 2022 |
International Conference on Recend Trends in Machine Learning and Image Processing (MLIP) is a prestigious event organized with a motivation to provide an excellent international platform for the academicians, researchers, engineers, industrial participants and budding students around the world to SHARE their research findings with the global experts. MLIP 2022 will be held a virtual conference during November 12-13, 2022.
Submission Guidelines
All submissions, including Regular papers, Short papers, and other have to be made through the Easy Chair System. Those who do not have an Easy Chair System will need to create one and the submitted papers must have minimum of 5 pages with following details described precisely.
- Title
- Abstract
- Keywords
- Introduction
- Related Work or Literature Studies
- Motivation
- Problem Domain
- Problem Definition
- Statement
- Innovative Content
- Problem Formulation or Representation or Design
- Solution Methodologies or Problem Solving
- Results and Sensitivity Analysis
- Data Model
- Comparison of Results
- Justification of the Results
- Conclusion
- Future work (if any)
- Acknowledgement (if any)
- References
List of Topics
MLIP 2022, is an international conference where theory, practices, and applications of Information Technology, Computational Engineering, Computer and Telecommunication Technology and related topics are presented and discussed. Original contributions are solicited on topics covered under broad areas such as (but not limited to):
- Machine Learning System Design
- Machine Learning Optimization
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Statistical Learning
- Transfer learning
- Extreme Learning Machines
- Kernel Based Learning
- Bayesian Learning
- Instruction Based Learning
- Adversarial Machine Learning
- Deep Neural Networks Optimization Algorithms
- Deep Feedforward Networks
- Regularization
- Deep Convolutional Neural Networks
- Deep Recurrent Neural Networks
- Sequence Modelling
- Deep Generative Models
- Generative Adversarial Networks
- Inference Dependencies on Multi-Layered Networks
- Tensors for Deep Learning
- Multi Scale Deep Architecture and Learning
- Machine Learning and Image Processing APPLICATIONS
- Machine Learning in Data Lakes
- Machine Learning based Data Integration and Data Interoperability
- Machine Learning Data Pipelines
- Machine Learning based Data Streaming
- Machine Learning Relating to Knowledge and Data Management
- Machine Learning Principles of Information Extraction from Big Data
- Machine Learning based Web Data Management and Deep Web
- Machine Learning Architecture for Pattern Recognition
- Machine Learning Architecture for Medical Imaging
- Machine Learning Search Engine
- Machine Learning Cloud Services
- Machine Learning IoT Services
- Image and signal processing
- Machine learning and deep learning models and algorithms
- Fixed point theory, Methods and its applications
- Optimization theory, methods and applications
- Nonlinear Analysis and applications
- Numerical Analysis, Methods and applications
- Computational methods in science and applied science
- Bioinformatics
- Biomedical informatics
- Computational Biology
- Healthcare
- Human Activity Recognition
- Computer vision
- Natural Language Processing
- Climate Science
Publication
MLIP - 2022 proceedings will be published in ...
by MLIP - 2022 proceedings will be published in ... by All the accepted registered conference papers will be published in the Conference Proceedings having ISBN Number and it will be indexed by Scopus and Cross Ref.
Venue
The MLIP - 2022 conference will be a virtual conference.
Contact
All questions about submissions should be emailed to editor@thehinweis.com