Blar i Institutt for informasjonsteknologi og kommunikasjon på emneord "machine 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-Based Hotel Reviews System Using Naive Bayes Classifier
(Peer reviewed; Journal article, 2023)The task of classifying opinions conveyed in any form of text online is referred to as sentiment analysis. The emergence of social media usage and its spread has given room for sentiment analysis in our daily lives. Social ... -
Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers
(Peer reviewed; Journal article, 2023)Social Media today has become the most relevant and affordable platform to express one’s views in real-time. The #Endsars protest in Nigeria and the COVID-19 pandemic have proven how important and reliant both government ... -
Machine learning for optimizing daily COVID-19 vaccine dissemination to combat the pandemic
(Peer reviewed; Journal article, 2022)Introduction Vaccines are the most important instrument for bringing the pandemic to a close and saving lives and helping to reduce the risks of infection. It is important that everyone has equal access to immunizations ... -
Machine learning with word embedding for detecting web-services anti-patterns
(Peer reviewed; Journal article, 2023)Software design Anti-pattern is the common feedback to a recurring problem that is ineffective and has a high risk of failure. Early prediction of these Anti-patterns helps reduce the design process’s efforts, resources, ... -
A machine learning-based intrusion detection for detecting internet of things network attacks
(Peer reviewed; Journal article, 2022)The Internet of Things (IoT) refers to the collection of all those devices that could connect to the Internet to collect and share data. The introduction of varied devices continues to grow tremendously, posing new privacy ... -
Predicting COVID-19 cases in South Korea with all K-edited nearest neighbors noise filter and machine learning techniques
(Peer reviewed; Journal article, 2021)The application of machine learning techniques to the epidemiology of COVID-19 is a necessary measure that can be exploited to curtail the further spread of this endemic. Conventional techniques used to determine the ...