Patents by Inventor TAREK AHMED HELMY EL-BASUNY

TAREK AHMED HELMY EL-BASUNY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method of predicting gas composition
    Patent number: 8700549
    Abstract: The method of predicting gas composition in a multistage separator includes solutions to the regression problem of gas composition prediction that are developed using an ensemble of hybrid computational intelligence (CI) models. Three separate homogeneous and one heterogeneous ensemble of hybrid computational intelligence (EHCI) models are developed using a parallel scheme. The homogeneous models have the same types of CI models used as base learners, and the heterogeneous model has of different types of CI models used as base learners. Various popular CI models, including multi-layer perceptron (MLP), support vector regression (SVR) and adaptive neuro-fuzzy inference system (ANFIS), are used as base learners of ensemble models.
    Type: Grant
    Filed: May 23, 2012
    Date of Patent: April 15, 2014
    Assignee: King Fahd University of Petroleum and Minerals
    Inventors: Muhammad Imtiaz Hossain, Tarek Ahmed Helmy El-Basuny, Abdulazeez Abdulraheem, Moustafa Elshafei, Lahouari Ghouti, Amar Khoukhi, Syed Masiur Rahman, Md. Rafiul Hassan
  • METHOD OF PREDICTING GAS COMPOSITION
    Publication number: 20130318016
    Abstract: The method of predicting gas composition in a multistage separator includes solutions to the regression problem of gas composition prediction that are developed using an ensemble of hybrid computational intelligence (CI) models. Three separate homogeneous and one heterogeneous ensemble of hybrid computational intelligence (EHCI) models are developed using a parallel scheme. The homogeneous models have the same types of CI models used as base learners, and the heterogeneous model has of different types of CI models used as base learners. Various popular CI models, including multi-layer perceptron (MLP), support vector regression (SVR) and adaptive neuro-fuzzy inference system (ANFIS), are used as base learners of ensemble models.
    Type: Application
    Filed: May 23, 2012
    Publication date: November 28, 2013
    Applicant: KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS
    Inventors: MUHAMMAD IMTIAZ HOSSAIN, TAREK AHMED HELMY EL-BASUNY, ABDULAZEEZ ABDULRAHEEM, MOUSTAFA ELSHAFEI, LAHOUARI GHOUTI, AMAR KHOUKHI, SYED MASIUR RAHMAN, MD. RAFIUL HASSAN