We are looking for a Consultant who will undertake the research and writing of 02 research papers for publication as outlined below:
1 - Literature review on of Machine Learning techniques to perform Web Services Composition
2 - Comparative Study of QoS-aware Web Services composition using Machine Learning
We want a new solution that involves Machine Learning to do the composition of web Services (REST Webservices).
Paper N°1 will focus on the literature review of Machine Learning techniques to perform Web Services Composition in recent years.
Paper N°2 will focus on publications on QoS-aware Web Services composition using Machine Learning following a selection process the consultant will define. The papers identified will speak about Machine Learning and QoS-aware Web Services Composition and you will identify their advantages and their drawbacks especially on QoS metrics (the limits to those solutions).
The Consultant will write theses papers, identify IEEE/Springer/Elsevier journal, and assist in the whole process of publication.
The papers should be produced and published in a span of 04 months.
The credit will solely go to the Client.
Essential qualifications and competencies:
*Ph.D. in Computer Science, Machine Learning, Web Services.
*Breadth of knowledge of and experience in the operation of computer science research.
*Knowledge of and experience in conducting Systematic Literature Review evidenced by publication, *Comparative studies, the proposal of a new solution, and its theoretical and experimental validation.
33 freelance font une offre moyenne de $1035 pour ce travail
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