Listar vol. 6, nº 7, september 2021 por título
Mostrando ítems 7-12 de 12
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Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)Missing rainfall data have reduced the quality of hydrological data analysis because they are the essential input for hydrological modeling. Much research has focused on rainfall data imputation. However, the compatibility ... -
Integration of Genetic Programming and TABU Search Mechanism for Automatic Detection of Magnetic Resonance Imaging in Cervical Spondylosis
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)Cervical spondylosis is a kind of degenerative disease which not only occurs in elder patients. The age distribution of patients is unfortunately decreasing gradually. Magnetic Resonance Imaging (MRI) is the best tool to ... -
Modeling of Performance Creative Evaluation Driven by Multimodal Affective Data
(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
(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
(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
(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 ...