MLDL2020: Machine and Deep Learning: Algorithms, Tools, and Applications |
Submission link | https://easychair.org/conferences/?conf=mldl2020 |
Abstract registration deadline | October 25, 2020 |
Submission deadline | December 10, 2020 |
Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications
Theis will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
Abstract Submission (of approx. 500 words): 20th October 2020
Abstract Acceptance: 30th October 2020
Full Chapter Submission: 10th December 2020
Chapter Acceptance:20th Feb 2021
Final chapter Submission (in Word): 01st March 2021
Submission to Publisher: 25th March 2021
The book will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.
Publisher’s guidelines are an overall similarity index of less than 15% (with a maximum of 3% from any single source). Each Chapter within 12 to 20 number of pages.
Reviewing Policy: The editor(s) will engage 2 single-blind peer-reviewers to assess originality, clarity, usefulness, and adherence to scope of the book.
The book will be published under the Wiley-Scrivener imprint (*NO PUBLICATION FEE*)and will be indexed by Scopus and offered to Web of Science.
https://easychair.org/conferences/?conf=mldl2020.
List of Topics
An Introduction to Machine learning
Supervised Machine learning
Unsupervised Machine Learning
Ensemble Machine learning
Neural Networks Models
Dimensionality Reduction
Feature Selection and Extraction
Model Evaluation
Deep Learning Techniques
Algorithms Methods and Techniques
Applications of Machine learning and Deep learning
Machine learning and Internet of things
Issues and challenges in Machine learning and Deep learning
Future research Opportunities with Machine learning and Deep learning
Case Studies: Use of Machine learning and Deep learning in Engineering, Healthcare, Agriculture, Transportation and Business, etc.
Publication
Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools and Applications
The book will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.
Note : There is NO processing/publication charges for this book chapter. |
Contact
Dr. Pradeep Singh, Assistant Professor, Department of Computer Science & Engineering
National Institute of Technology Raipur
For any query Please contact: Dr. Pradeep Singh, Email: psingh.cs@nitrr.ac.in, Mob:9407627366