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We are inviting authors, academician and industry people to present and publish their most recent contributions to innovation among the many areas of International Conference on Machine Learning and Applied Network Technologies. The accepted and presented research work will be submitted to IEEE Xplore Digital Library.
The conference covers both theoretical and practical issues related to, but not limited to:
The articles must be submitted in digital format (PDF) through the paper submission link. Paper should indicate appropriateness for the scope of the Conference, originality and quality of the technical content, whole organization and writing style. Please consider the following criteria:
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All conference articles submitted for inclusion in IEEE Xplore must adhere to the IEEE Xplore PDF specification for compatibility. Please before create and send your PDF:
>> Add the copyright notice to the bottom of the first page of your source document
For papers in which all authors are employed by the US government, the copyright notice is: U.S. Government work not protected by U.S. copyright For papers in which all authors are employed by a Crown government (UK, Canada, and Australia), the copyright notice is: 978-1-7281-8885-0/20/$31.00 ©2020 Crown For papers in which all authors are employed by the European Union, the copyright notice is: 978-1-7281-8885-0/20/$31.00 ©2020 European Union For all other papers the copyright notice is: 978-1-7281-8885-0/20/$31.00 ©2020 IEEE
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First-time users should do the following:
1. Enter to IEEE PDF eXpress site
2. Select the New Users – Click Here link.
3. Enter the following:
· 50963X for the Conference ID
· your email address
· a password
4. Continue to enter information as prompted.
An Online confirmation will be displayed and an email confirmation will be sent verifying your account setup.
Previous users of PDF eXpress need to follow the above steps, but should enter the same password that was used for previous conferences. Verify that your contact information is valid.