Blar i HiØ Brage på emneord "deep learning"
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Application of Artificial Neural Networks for Power Load Prediction in Critical Infrastructure: A Comparative Case Study
(Peer reviewed; Journal article, 2023)This article aims to assess the effectiveness of state-of-the-art artificial neural network (ANN) models in time series analysis, specifically focusing on their application in prediction tasks of critical infrastructures ... -
A Comprehensive Review on Deep Learning-Based Motion Planning and End-To-End Learning for Self-Driving Vehicle
(Peer reviewed; Journal article, 2024)Self-Driving Vehicles (SDVs) are increasingly popular, with companies like Google, Uber, and Tesla investing significantly in self-driving technology. These vehicles could transform commuting, offering safer, and efficient ... -
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 Efficient Scheme for Determining the Power Loss in Wind-PV Based on Deep Learning
(Peer reviewed; Journal article, 2020)Power loss is a bottleneck in every power system and it has been in focus of majority of the researchers and industry. This paper proposes a new method for determining the power loss in wind-solar power system based on ... -
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 ... -
Studenters forståelse av matematikk ved bruk av gjensidige studentrettinger
(Peer reviewed; Journal article, 2020)Gjennom refleksjonsnotater og i fokusgruppeintervju undersøker vi i denne studien hva forståelse innebærer for grunnskolelærerstudenter i matematikk, og hvordan denne forståelsen utvikles. Studien er del av et større ... -
T4SS Effector Protein Prediction with Deep Learning
(Journal article; Peer reviewed, 2019-03-25)Extensive research has been carried out on bacterial secretion systems, as they can pass effector proteins directly into the cytoplasm of host cells. The correct prediction of type IV protein effectors secreted by T4SS is ...