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      • Clasification Of Arrhythmic ECG Data Using Machine Learning Techniques 

        Vishwa, Abhinav; Lal, Mohit K.; Dixit, Sharad; Vardwaj, Dr. Pritish (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2011)
        In this paper we proposed a automated Artificial Neural Network (ANN) based classification system for cardiac arrhythmia using multi-channel ECG recordings. In this study, we are mainly interested in producing high confident ...
      • Transmission Dynamics Model of Coronavirus COVID-19 for the Outbreak in Most Affected Countries of the World 

        Dur-e-Ahmad, Muhammad; Imran, Mudassar (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
        The wide spread of coronavirus (COVID-19) has threatened millions of lives and damaged the economy worldwide. Due to the severity and damage caused by the disease, it is very important to fore-tell the epidemic lifetime ...
      • Virtual Reality-based Assessment and Rating Scales in ADHD Diagnosis 

        Zulueta, Aitziber ; Díaz-Orueta, Unai; Crespo-Eguilaz, Nerea; Torrano, Fermín (Psicología Educativa, 2019)
        The diagnosis of Attention Deficit Hyperactivity Disorder (ADHD) is mainly based on structured scales, such as Conners' ADHD Rating Scale (EDAH in the Spanish version) and DSM interviews. The use of technologies in ...
      • Voltage Stability Enhancement Based on Optimal Allocation of Shunt Compensation Devices Using Lightning attachment procedure optimization 

        Kamel, Salah; Youssef, Heba (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
        This paper proposes a combined approach to determine the optimal allocation of different shunt compensation devices (shunt capacitor, static var compensator, and static synchronous compensator) in power systems. The developed ...

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