List of Articles Rahil Hosseini

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  1 - A Fuzzy Expert System for Diagnosis of Acute Lymphocytic Leukemia in Children
  Farzaneh Latifi Rahil Hosseini Mahdi Mazinai
  Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been in More

  Fuzzy expert systems are one of the most practical intelligent models with the high potential for managing uncertainty associated to the medical diagnosis. In this paper, a fuzzy inference system (FIS) for diagnosing of acute lymphocytic leukemia in children has been introduced. The fuzzy expert system applies Mamdani reasoning model that has high interpretability to explain system results to experts in a high level. The system has been designed based on the specialist physician’s knowledge. The proposed systems, has been implemented in Matlab and evaluated on real patients’ dataset. High accuracy of this system (with an accuracy about 96%) revealed its capability for helping experts to early diagnosis of the disease. that the results are promising for more earlier diagnosis and then providing good treatment of patients and consequently saving more children’s lives. Manuscript profile
• Open Access Article
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  2 - A Survey of Concurrency Control Algorithms in the Operating Systems
  Hossein Maghsoudloo Rahil Hosseini
  Concurrency control is one of the important problems in operation systems. Various studies have been reported to present different algorithms to address this problem, although a few attempts have been made to represent an overall view of the characteristics of these alg More

  Concurrency control is one of the important problems in operation systems. Various studies have been reported to present different algorithms to address this problem, although a few attempts have been made to represent an overall view of the characteristics of these algorithms and comparison of their capabilities to each other. This paper presents a survey of the current methods for controlling concurrency in operating systems. Classification of current algorithms in operating systems has been proposed. Current concurrency control algorithms are classified into four groups: 1) software-based algorithms, 2) hardware-based algorithms, 3) based operating system, and 4) based on message passing. Furthermore, it presents an analysis of the capabilities and characteristics of current algorithms' in their own category (intra-group comparison analysis) and between different categories (inter-group comparison analysis) to put a light on the way of selecting a proper algorithm for various circumstances in operating systems. Manuscript profile