Blar i Institutt for informasjonsteknologi og kommunikasjon på emneord "deep learning"
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Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
(Peer reviewed; Journal article, 2021)Modern communication systems and networks, e.g., Internet of Things (IoT) and cellular networks, generate a massive and heterogeneous amount of traffic data. In such networks, the traditional network management techniques ... -
A deep learning method for automatic SMS spam classification: Performance of learning algorithms on indigenous dataset
(Peer reviewed; Journal article, 2022)SMS, one of the most popular and fast-growing GSM value-added services worldwide, has attracted unwanted SMS, also known as SMS spam. The effects of SMS spam are significant as it affects both the users and the service ... -
An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples
(Peer reviewed; Journal article, 2022)Current research endeavors in the application of artificial intelligence (AI) methods in the diagnosis of the COVID-19 disease has proven indispensable with very promising results. Despite these promising results, there ... -
Malignant skin melanoma detection using image augmentation by oversampling in nonlinear lower-dimensional embedding manifold
(Journal article, 2021)The continuous rise in skin cancer cases, especially in malignant melanoma, has resulted in a high mortality rate of the affected patients due to late detection. Some challenges affecting the success of skin cancer detection ...