Call for Papers |
|
The National Conference on Machine Learning and Data Science aims to provide a high-level national forum for researchers and recent advances in the field of Artificial Intelligence Machine Learning, Data Science, Computer vision, Blockchain, communication, cloud computing, big data analytics, cybersecurity, quantum computing, Biocomputing, IoT, etc.
The aim of the conference is to bridge the gap between technological advancements in the industry and academic research. Conference Topics: Artificial Intelligence Machine Learning Internet of Things (IoT) Data Science Blockchain Cloud Computing Soft Computing Techniques Image processing Biomedical Image Processing, Bio-computation and Bioinformatics Pattern recognition Clustering and Classification Image Segmentation Pattern Classification through Sensors Big data and data mining Natural language processing Document Processing Object Detection recognitions, Scene understanding and Video Analytics Colour and Texture Analysis Biometrics: Finger, Face and Palm Recognition Analysis and Predictions Sentiment Analysis |
Summary |
|
NCMLDS 2024 : National Conference on Machine Learning and Data Science will take place in Latur, Maharashtra, India. It’s a 2 days event starting on Apr 5, 2024 (Friday) and will be winded up on Apr 6, 2024 (Saturday). NCMLDS 2024 falls under the following areas: MACHINE LEARNING, DATA SCIENCE, CLOUD COMPUTING, SOFT COMPUTING, etc. Submissions for this Conference can be made by Feb 29, 2024. Authors can expect the result of submission by Mar 15, 2024. Upon acceptance, authors should submit the final version of the manuscript on or before Mar 20, 2024 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the NCMLDS 2024
|
Credits and Sources |
| [1] NCMLDS 2024 : National Conference on Machine Learning and Data Science |
