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When program verification tools fail to verify a program, either the program is buggy or the report is a false alarm. In this situation, the burden is on the user to manually classify the report, but ...
Final aim of SIINDA research project is the development of an integrated system, composed by interagents hardware and software components, oriented to support the expert in the analysis and diagnosis ...
The ability to reason within a dynamical environment is of a crucial importance in Artificial Intelligence. Medical diagnosis is a dynamic and very complex field which needs special attention Our qu...
In the modern world, computing is essential in all aspects of manufacturing activity. Computers have brought to life terms like artificial intelligence, and have played a critical role in reinvention ...
Screening mammograms is a repetitive task that causes fatigue and eye strain since for every thousand cases analyzed by a radiologist, only 3–4 are cancerous and thus an abnormality may be overlooked....
In this paper, we propose disease diagnosis hardware architecture by using Hypernetworks technique. It can be used to diagnose 3 different diseases (SPECT Heart, Leukemia, Prostate cancer). General...
In this study, a new method called the pixel basis functional radionuclide imaging (PBFRI) algorithm based on the appended curve deconvolution technique, in order to be able to increase the medical di...
The paper presents an evaluation of the diagnostic hypotheses’ selection step within the medical diagnosis hybrid system DiaMed. Medical diagnoses are described in DiaMed through fuzzy decision func...
In this paper, a possibilistic network implementation for uncertain knowledge modeling of the diagnostic process is proposed as a means to achieve student diagnosis in intelligent tutoring system. Thi...
This paper performs an analysis on the applicability of state-of-the-art fault diagnosis methodologies to both simple and complex systems. Here, a complex system represents a system whose global behav...
In intelligent tutoring systems, student or user modeling implies dealing with imperfect and uncertain knowledge. One of the artificial intelligence techniques used for uncertainty management is that ...

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