Mostrando ítems 9-12 de 12

    • Modeling of Performance Creative Evaluation Driven by Multimodal Affective Data 

      Wu, Yufeng; Zhang, Longfei; Ding, Gangyi; Xue, Tong; Zhang, Fuquan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Performance creative evaluation can be achieved through affective data, and the use of affective featuresto evaluate performance creative is a new research trend. This paper proposes a “Performance Creative—Multimodal ...
    • Modified YOLOv4-DenseNet Algorithm for Detection of Ventricular Septal Defects in Ultrasound Images 

      Chen, Shih-Hsin; Wang, Chun-Wei; Tai, I-Hsin; Weng, Ken-Pen; Chen, Yi-Hui; Hsieh, Kai-Sheng (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Doctors conventionally analyzed echocardiographic images for diagnosing congenital heart diseases (CHDs). However, this process is laborious and depends on the experience of the doctors. This study investigated the use of ...
    • Optimal QoE Scheduling in MPEG-DASH Video Streaming 

      Chang, Shin-Hung; Tsai, Min-Lun; Lee, Meng-Huang; Ho, Jan-Ming (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      DASH is a popular technology for video streaming over the Internet. However, the quality of experience (QoE), a measure of humans’ perceived satisfaction of the quality of these streamed videos, is their subjective opinion, ...
    • Pulmonary Nodule Classification in Lung Cancer from 3D Thoracic CT Scans Using fastai and MONAI 

      Kaliyugarasan, Satheshkumar; Lundervold, Arvid; Lundervold, Alexander Selvikvåg (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      We construct a convolutional neural network to classify pulmonary nodules as malignant or benign in the context of lung cancer. To construct and train our model, we use our novel extension of the fastai deep learning ...