Browsing Electrical Engineering by Subject "Machine Learning"

Now showing items 1-6 of 6

    • Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals 

      Shuzan, Md N.; Chowdhury, Moajjem H.; Chowdhury, Muhammad E. H.; Murugappan, Murugappan; Hoque Bhuiyan, Enamul; ... more authors ( MDPI , 2023 , Article)
      The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to assess the effectiveness of lung medications ...

    • OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES 

      Degerli, Aysen; Kiranyaz, Serkan; Chowdhury, Muhammad E. H.; Gabbouj, Moncef ( IEEE , 2022 , Conference Paper)
      Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...

    • Photovoltaic System Ensemble Prediction System 

      Lari, Ali Jassim; Egwebe, Augustine; Touati, Farid; Gonzales, Antonio S.; Khandakar, Amith Abdullah ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Solar energy is the major renewable energy in Gulf area. The yearly solar irradiance is one of the highest in the world with more than 2000kWh/m2. Consequently, nations in the Gulf area have intended their energy investing ...

    • PV power prediction in Qatar based on machine learning approach 

      Benhmed K.; Touati F.; Al-Hitmi M.; Chowdhury N.A.; Gonzales A.S.P.; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)
      PV output power is highly sensitive to many environmental parameters, hence, power available from plants based on this technology will be affected, especially in harsh environments such that of Gulf countries. In order to ...

    • Reliable Photovoltaics Output Power Prediction in Qatar 

      Lari, Ali Jassim; Egwebe, Augustine; Touati, Farid; Gonzales, Antonio S.; Khandakar, Amith Abdullah ( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)
      Renewable energy is gradually becoming the most promising type of power generation that could replace fossil fuels in the future. One of the most widely used form of renewable energy is solar/PV energy. To examine the ...

    • Self-organized Operational Neural Networks with Generative Neurons 

      Kiranyaz, Mustafa Serkan; Malik J.; Abdallah H.B.; Ince T.; Iosifidis A.; ... more authors ( Elsevier Ltd , 2021 , Article)
      Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ...