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Omid Hamidi

Showing results (1-10 of 24) with videos related to

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BMC Research Notes|September 16, 2020
Investigating climatic changes of the wind regime over Western IranZohreh Maryanaji, Omid Hamidi
Journal of Preventive Medicine and Hygiene|July 29, 2021
Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative studySonia Darvishi, Omid Hamidi, Jalal Poorolajal
BMC Medical Research Methodology|February 27, 2024
GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinusesOmid Hamidi, Mahlagha Afrasiabi, Marjan Namaki
Iranian Journal of Public Health|April 9, 2016
Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival ForestsOmid Hamidi, Jalal Poorolajal, Maryam Farhadian, et al.
Healthcare Informatics Research|November 1, 2013
Real-data comparison of data mining methods in prediction of diabetes in iranLily Tapak, Hossein Mahjub, Omid Hamidi, et al.
Journal of Applied Statistics|June 16, 2022
Random effect exponentiated-exponential geometric model for clustered/longitudinal zero-inflated count dataLeili Tapak, Omid Hamidi, Payam Amini, et al.
Healthcare Informatics Research|November 29, 2017
Prediction of Kidney Graft Rejection Using Artificial Neural NetworkLeili Tapak, Omid Hamidi, Payam Amini, et al.
BMC Research Notes|June 26, 2019
Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in IranLeili Tapak, Omid Hamidi, Mohsen Fathian, et al.
BMC Research Notes|August 9, 2024
Predicting the pulse of urban water demand: a machine learning approach to deciphering meteorological influencesZiba Zarrin, Omid Hamidi, Payam Amini, et al.
Zoonoses and Public Health|July 16, 2019
A comparison of three data mining time series models in prediction of monthly brucellosis surveillance dataNasrin Shirmohammadi-Khorram, Leili Tapak, Omid Hamidi, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
BMC Research Notes|September 16, 2020
Investigating climatic changes of the wind regime over Western IranZohreh Maryanaji, Omid Hamidi
Journal of Preventive Medicine and Hygiene|July 29, 2021
Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative studySonia Darvishi, Omid Hamidi, Jalal Poorolajal
BMC Medical Research Methodology|February 27, 2024
GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinusesOmid Hamidi, Mahlagha Afrasiabi, Marjan Namaki
Iranian Journal of Public Health|April 9, 2016
Identifying Important Risk Factors for Survival in Kidney Graft Failure Patients Using Random Survival ForestsOmid Hamidi, Jalal Poorolajal, Maryam Farhadian, et al.
Healthcare Informatics Research|November 1, 2013
Real-data comparison of data mining methods in prediction of diabetes in iranLily Tapak, Hossein Mahjub, Omid Hamidi, et al.
Journal of Applied Statistics|June 16, 2022
Random effect exponentiated-exponential geometric model for clustered/longitudinal zero-inflated count dataLeili Tapak, Omid Hamidi, Payam Amini, et al.
Healthcare Informatics Research|November 29, 2017
Prediction of Kidney Graft Rejection Using Artificial Neural NetworkLeili Tapak, Omid Hamidi, Payam Amini, et al.
BMC Research Notes|June 26, 2019
Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in IranLeili Tapak, Omid Hamidi, Mohsen Fathian, et al.
BMC Research Notes|August 9, 2024
Predicting the pulse of urban water demand: a machine learning approach to deciphering meteorological influencesZiba Zarrin, Omid Hamidi, Payam Amini, et al.
Zoonoses and Public Health|July 16, 2019
A comparison of three data mining time series models in prediction of monthly brucellosis surveillance dataNasrin Shirmohammadi-Khorram, Leili Tapak, Omid Hamidi, et al.
Pageof 3