Browsing Institutt for datateknologi og informatikk by Journals "IEEE Access"
Now showing items 1-20 of 71
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3D Reconstruction of Gastrointestinal Regions Using Single-View Methods
(Peer reviewed; Journal article, 2023)Capsule endoscopy is about to become an alternative to traditional colonoscopy. One uses a wireless camera to visualize the gastrointestinal (GI) tract. A 3D model based on image sequences obtained from wireless capsule ... -
A Novel Algorithm for Estimating Purchase Incentive of The Public Based on Mobile Cloud Computing
(Journal article; Peer reviewed, 2019)Mobile Cloud Computing provides applications of cloud computing technology on mobile internet. In the era of 5G networks, Mobile Cloud Computing offers the possibility of heavy computational in parallel through different ... -
A Sanitization Approach to Secure Shared Data in an IoT Environment
(Journal article; Peer reviewed, 2019)Internet of Things (IoT) supports high flexibility and convenience in several applications because the IoT devices continuously transfer, share, and exchange data without human intervention. During shared or exchanged ... -
A Self-Adaptive Process Mining Algorithm Based on Information Entropy to Deal with Uncertain Data
(Journal article; Peer reviewed, 2019)Process mining is a technology to gain knowledge of the business process by using the event logs and achieve a model of the process, which contributes to the detection and improvement of the business process. However, most ... -
A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources
(Journal article; Peer reviewed, 2019)Nowadays, learning-based modeling system is adopted to establish an accurate prediction model for renewable energy resources. Computational Intelligence (CI) methods have become significant tools in production and optimization ... -
A Survey of Stereoscopic 3D Just Noticeable Difference Models
(Journal article; Peer reviewed, 2019)Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND ... -
A Survey on Urban Traffic Anomalies Detection Algorithms
(Journal article; Peer reviewed, 2019)This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups ... -
Adapted k-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow
(Journal article; Peer reviewed, 2019)Outlier detection is an extensive research area, which has been intensively studied in several domains such as biological sciences, medical diagnosis, surveillance, and traffic anomaly detection. This paper explores advances ... -
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
(Peer reviewed; Journal article, 2024)The widespread propagation of misinformation on social media platforms poses a significant concern, prompting substantial endeavors within the research community to develop robust detection solutions. Individuals often ... -
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
(Journal article; Peer reviewed, 2024)The widespread propagation of misinformation on social media platforms poses a significant concern, prompting substantial endeavors within the research community to develop robust detection solutions. Individuals often ... -
Bloom’s Learning Outcomes’ Automatic Classification Using LSTM and Pretrained Word Embeddings
(Peer reviewed; Journal article, 2021)Bloom’s taxonomy is a popular model to classify educational learning objectives into different learning levels for three domains including cognitive, affective and psycho motor. Each domain is further detailed into different ... -
Classifying European Court of Human Rights Cases Using Transformer-Based Techniques
(Peer reviewed; Journal article, 2023)In the field of text classification, researchers have repeatedly shown the value of transformer-based models such as Bidirectional Encoder Representation from Transformers (BERT) and its variants. Nonetheless, these models ... -
Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure
(Peer reviewed; Journal article, 2021)In recent years, uncertain data clustering has become the subject of active research in many fields, for example, pattern recognition, and machine learning. Nowadays, researchers have committed themselves to substitute the ... -
Communication Aspects for a Measurement Based UWB in-Body to on-Body Channel
(Journal article; Peer reviewed, 2019)A wireless capsule endoscopy (WCE) is a good option for the screening of the digestive system. To better facilitate detection of diseases at an early stage, gastroenterologists seek both higher frame rate and frame resolution ... -
A Comprehensive Tensor Framework for the Clustering of Hyperspectral Paper Data with an Application to Forensic Document Analysis
(Peer reviewed; Journal article, 2021)In forensic document analysis, the authenticity of a document must be properly checked in the context of suspected forgery. Hyperspectral Imaging (HSI) is a non-invasive way of detecting fraudulent papers in a multipage ... -
Control Strategy for Denitrification Efficiency of Coal-fired Power Plant Based on Deep Reinforcement Learning
(Peer reviewed; Journal article, 2020)The optimal control of denitrification system in coal-fired power plants in China has recently received widespread attention. The accurate prediction of denitrification efficiency and formulate control strategy of ... -
A Critical Analysis on Perceptual Contrast and its Use in Visual Information Analysis and Processing
(Peer reviewed; Journal article, 2020)Contrast in visible images is one of the most relevant characteristics of visual signals. Since the pioneering works performed in vision psychology and optics, different definitions have been proposed in the literature. ... -
Cross-Cultural Polarity and Emotion Detection Using Sentiment Analysis and Deep Learning on COVID-19 Related Tweets
(Peer reviewed; Journal article, 2020)How different cultures react and respond given a crisis is predominant in a society’s norms and political will to combat the situation. Often, the decisions made are necessitated by events, social pressure, or the need of ... -
Cross-Modality Guided Contrast Enhancement for Improved Liver Tumor Image Segmentation
(Journal article; Peer reviewed, 2021) -
Deep Contextual Grid Triplet Network for Context-Aware Recommendation
(Peer reviewed; Journal article, 2023)Modeling contextual information is a vital part of developing effective recommender systems. Still, existing work on recommendation algorithms has generally put limited focus on the effective treatment of contextual ...