Blar i Institutt for datateknologi og informatikk på tidsskrift "IEEE Access"
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Detecting Latent Topics and Trends in Software Engineering Research Since 1980 Using Probabilistic Topic Modeling
(Peer reviewed; Journal article, 2022)The landscape of software engineering research has changed significantly from one year to the next in line with industrial needs and trends. Therefore, today’s research literature on software engineering has a rich and ... -
Detection and Classification of Moving Vehicle From Video Using Multiple Spatio-Temporal Features
(Journal article; Peer reviewed, 2019)The information acquisition and automatic processing technology based on visual surveillance sensors in intelligent transportation system (ITS) has become an important application field of computer vision technology. The ... -
DT-CP: A Double-TTPs Based Contract-signing Protocol with Lower Computational Cost
(Journal article; Peer reviewed, 2019)This paper characterizes a contract signing protocol with high efficiency in Internet of Things. Recent studies show that existing contract-signing protocols can achieve abuse-freeness and resist inference attack, but ... -
EchoBERT: A Transformer-Based Approach for Behavior Detection in Echograms
(Journal article; Peer reviewed, 2020) -
Evaluating Object (Mis)Detection From a Safety and Reliability Perspective: Discussion and Measures
(Peer reviewed; Journal article, 2023)We argue that object detectors in the safety critical domain should prioritize detection of objects that are most likely to interfere with the actions of the autonomous actor. Especially, this applies to objects that can ... -
Evaluating Top-N Recommendations Using Ranked Error Approach: An Empirical Analysis
(Peer reviewed; Journal article, 2022)Evaluation metrics or measures are necessary tools for evaluating and choosing the most appropriate modeling approaches within recommender systems. However, evaluation measures can sometimes fall short when evaluating ... -
Evaluation of Ten Open-Source Eye-Movement Classification Algorithms in Simulated Surgical Scenarios
(Journal article; Peer reviewed, 2019)Despite providing several insights into visual attention and evidence regarding certain brain states and psychological functions, classifying eye movements is a highly demanding process. Currently, there are several ... -
Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years
(Peer reviewed; Journal article, 2022)From the early days of computer systems to the present, software testing has been considered as a crucial process that directly affects the quality and reliability of software-oriented products and services. Accordingly, ... -
Experimental Evaluation of the Layered Flow-Based Autonomous TSCH Scheduler
(Peer reviewed; Journal article, 2023)The Industrial Internet of Things (IIoT) requires wireless connectivity that meets the strict industrial requirements on metrics such as reliability and latency. Promising approaches include Time Slotted Channel Hopping ... -
An Exploration on the Influence Factors of the Optimal Sample Width for Hyperspectral Remote Sensing Image Classification
(Peer reviewed; Journal article, 2023)Spectral-spatial classification of hyperspectral image (HSI) has made enormous achievements in many applications. One of the critical attributes that affects classification accuracy is the width of HSI cube/patch. To seek ... -
Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem
(Peer reviewed; Journal article, 2020)Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information ... -
F-CBR: An Architecture for Federated Case-Based Reasoning
(Journal article; Peer reviewed, 2022)Case-based reasoning (CBR) is a problem-solving methodology in artificial intelligence that attempts to solve new problems using past experiences known as cases. Experiences collected in a single case base from an institution ... -
Focus Measurement in Color Space for Shape from Focus Systems
(Peer reviewed; Journal article, 2021)Shape from Focus (SFF) has been studied extensively in computer vision for 3D shape and depth recovery. The first stage in SFF methods is to compute the focus value of every pixel by converting the colored images into gray ... -
Game-based digital quiz as a tool for improving students’ engagement and learning in online lectures
(Peer reviewed; Journal article, 2021)Distance teaching and learning are gaining popularity, especially amidst the COVID-19 crisis at the beginning of 2020. Several schools, colleges, and universities across the globe, as a result, have adopted the online mode ... -
GPU-Accelerated Visualization of Scattered Point Data
(Journal article; Peer reviewed, 2013)As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are unordered sets of point coordinates with associated measured ... -
Hands-On Experiences With Assistive Technologies for People With Intellectual Disabilities: Opportunities and Challenges
(Peer reviewed; Journal article, 2020)In the recent years, the use of Information and Communication Technologies (ICTs) to enhance the educational and developmental interventions of individuals with intellectual disabilities has increased drastically. Current ... -
The Impact of Translating Resource-Rich Datasets to Low-Resource Languages Through Multi-Lingual Text Processing
(Journal article; Peer reviewed, 2021) -
Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review
(Journal article; Peer reviewed, 2019)Over the past several decades, the development of technologies and the production of autonomous vehicles have enhanced the need for intelligent intersection management systems. Subsequently, growing interest in studying ... -
Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble
(Journal article; Peer reviewed, 2019)Among various physiological signal acquisition methods for the study of the human brain, EEG (Electroencephalography) is more effective. EEG provides a convenient, non-intrusive, and accurate way of capturing brain signals ... -
An investigation of contemporary data-driven methods applied to complex systems
(Peer reviewed; Journal article, 2022)Understanding complex systems by the help of modeling, simulation, and control is a well-known challenge across several application domains. As such, these type of systems are not amenable to empirical models, typically ...