Biomedical Engineering Faculty participated by a quality scientific research paper in an International Conference, held in London this year, 30-31, July.
- Publish Date:
- 30/07/2022
Professor Dr. Maan Ammar from the faculty of Biomedical Engineering and the research team participated for the second consecutive year by a quality research paper in an international conference held in London 30-31, July 2022.The research work proposed two new concepts with their practical application in the field of expert systems and artificial intelligence.
The research subject is in the field of expert systems which is one of the most important branches of artificial intelligence. It represented a new trend in this field and introduced two new concepts: The first one is generating different expert systems using the same machine, and the second one is Domain Expert Guided Heuristic Search (DEGHS). The paper presented also the practical using of these two concepts to generate expert systems that enable reaching solutions to problems which can’t be reached by algorithmic approaches.
The research work was selected among the best ones in the conference and presented in a 30 minutes-lecture.
EXPERT SYSTEMS GENERATING MACHINE FOR IMAGE PROCESSING APPLICATIONS
Abstract
We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can be applied. Generating different expert systems using the same machine depends on the well-known fact that the function of an expert system is determined mainly by its knowledge base. The machine developed expedite very much the development of the expert system to reach best performance. The role of domain expert and the positive effect of the interaction between different domain experts in different fields is highlighted.
