• A Novel Smart Grid State Estimation Method Based on Neural Networks 

      Abdel-Nasser, Mohamed; Mahmoud, Karar; Kashef, Heba (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      The rapid development in smart grids needs efficient state estimation methods. This paper presents a novel method for smart grid state estimation (e.g., voltages, active and reactive power loss) using artificial neural ...
    • Applying Bayesian Regularization for Acceleration of Levenberg-Marquardt based Neural Network Training 

      Suliman, Azizah; Omarov, Batyrkhan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Neural network is widely used for image classification problems, and is proven to be effective with high successful rate. However one of its main challenges is the significant amount of time it takes to train the network. ...
    • Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification 

      Arun, Vanishri; Krishna, Murali; Arunkumar, B V; Padma, S K; Shyam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Depression is a burdensome psychiatric disease common in low and middle income countries causing disability, morbidity and mortality in late life. In this study, we demonstrate a novel approach for detection of depression ...
    • Removing Unclassified Hand Tremor Motion from Computer Mouse Input with Neural Networks 

      Mack, Stephen (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      An artificial neural network based filter to remove unwanted tremor-induced motion in computer mouse input is presented and tested. A method to efficiently capture appropriate training data is shown to be important in the ...