Call for Papers

The broad theme for the International Conference on Applied Machine Learning includes Machine Learning and its applications such as for Chatbots, Robotics, Social Networks, Fault Detection, Predictive Maintenance, Life Sciences, Neurosciences and Data Science fo Visual Analytics, Large-Scale Data Processing and Network Analytics.

 


Call for Papers

 

We invite submission of original and un-published research papers and case-studies on machine learning applied to problems in adaptation, or modeling, climate mitigation, data presentation and management and etc including but not limited to the following topics:
The conference proceedings will be published in IEEE Xplore Digital Library.

 

  • State-of-the-art Data Management solutions for Machine Learning applications;

  • Artificial Intelligence;

  • Deep Learning;

  • Cognitive Computing;

  • Image Analysis;

  • Text Analytics;

  • Speech Recognition;

  • Natural Language Processing;

  • Cyber and Cloud Security;

  • Industry 4.0;

  • Internet of Things;

  • Manufacturing and retail Sector: Operational Issues & Challenges;

  • Financial Analytics;

  • Revenue Management;

  • Health Sector Services;

  • Marketing Operations & Efficiency Measures;

  • Public Systems operations management;

  • Systems Studies;

  • Coastal-zone Management: best practices & operational issues;

  • Applications of Mathematical & Statistical Models;

  • Power generation and grids;

  • Smart buildings and cities;

  • Industrial optimization;

  • Agriculture, forestry and other land use;

  • Disaster management and relief;

  • Ecosystems and natural resources;

  • Extreme weather events;

  • Data and voice communication;

 

        [Above list is just indicative, not exhaustive.]

Please click here for the paper submission format( doc ).

 

 

Important Note

Conference Website

http://icaml.soa.ac.in

Paper to be submitted at

Easy Chair

Paper submission by

30th June 2019 Date extended to 25th July 2019

For any quries contact

icaml@soa.ac.in
Mobile#:+917978452849 / +919937959873

Follow us at facebook