Blar i Institutt for datateknologi og informatikk på tidsskrift "Applied Sciences"
Viser treff 1-19 av 19
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Attention-Based RU-BiLSTM Sentiment Analysis Model for Roman Urdu
(Peer reviewed; Journal article, 2022)Deep neural networks have emerged as a leading approach towards handling many natural language processing (NLP) tasks. Deep networks initially conquered the problems of computer vision. However, dealing with sequential ... -
Design Principles of a Mixed-Reality Shopping Assistant System in Omnichannel Retail
(Peer reviewed; Journal article, 2023)New digital technologies furnish retail managers with new means to enhance consumer experiences in omnichannel retailing. Conceptual academic literature and industry emphasize the promising use of immersive digital displays ... -
Designing a Business Intelligence and Analytics Maturity Model for Higher Education: A Design Science Approach
(Peer reviewed; Journal article, 2022)Business Intelligence and Analytics (BIA) systems play an essential role in organizations, providing actionable insights that enable business users to make more informed, data-driven decisions. However, many Higher Education ... -
Escaping Local Minima in Path Planning Using a Robust Bacterial Foraging Algorithm
(Peer reviewed; Journal article, 2020)The bacterial foraging optimization (BFO) algorithm successfully searches for an optimal path from start to finish in the presence of obstacles over a flat surface map. However, the algorithm suffers from getting stuck in ... -
Evaluating Methods for the Identification of Off-Chain Transactions in the Lightning Network
(Journal article; Peer reviewed, 2019)Payment channels and off-chain transactions are used to address blockchain scalability. Those mechanisms rely on the blockchain proper, as the resolution mechanism. They allow for high transaction throughput due to the ... -
A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation
(Journal article; Peer reviewed, 2022) -
Image Quality Assessment without Reference by Combining Deep Learning-Based Features and Viewing Distance
(Peer reviewed; Journal article, 2021)An abundance of objective image quality metrics have been introduced in the literature. One important essential aspect that perceived image quality is dependent on is the viewing distance from the observer to the image. ... -
Impact of Navigation Aid and Spatial Ability Skills on Wayfinding Performance and Workload in Indoor-Outdoor Campus Navigation: Challenges and Design
(Peer reviewed; Journal article, 2023)Wayfinding is important for everyone on a university campus to understand where they are and get to where they want to go to attend a meeting or a class. This study explores the dynamics of mobile navigation apps and the ... -
Machine Translation in Low-Resource Languages by an Adversarial Neural Network
(Peer reviewed; Journal article, 2021)Existing Sequence-to-Sequence (Seq2Seq) Neural Machine Translation (NMT) shows strong capability with High-Resource Languages (HRLs). However, this approach poses serious challenges when processing Low-Resource Languages ... -
A Method for Enterprise Architecture Model Slicing
(Peer reviewed; Journal article, 2022)Enterprise Architecture (EA) has been applied widely in industry as it brings substantial benefits to ease communication and improve business-IT alignment. However, due to its high complexity and cost, EA still plays a ... -
Multiclass Skin Cancer Classification Using Ensemble of Fine-Tuned Deep Learning Models
(Peer reviewed; Journal article, 2021)Skin cancer is a widespread disease associated with eight diagnostic classes. The diagnosis of multiple types of skin cancer is a challenging task for dermatologists due to the similarity of skin cancer classes in phenotype. ... -
Occam's razor for big data? On detecting quality in large unstructured datasets
(Journal article; Peer reviewed, 2019)Detecting quality in large unstructured datasets requires capacities far beyond the limits of human perception and communicability and, as a result, there is an emerging trend towards increasingly complex analytic solutions ... -
Photo Identification of Individual Salmo trutta Based on Deep Learning
(Peer reviewed; Journal article, 2021)Individual fish identification and recognition is an important step in the conservation and management of fisheries. One of most frequently used methods involves capturing and tagging fish. However, these processes have ... -
Quality Assessment of 2.5D Prints Using 2D Image Quality Metrics
(Peer reviewed; Journal article, 2021)Quality assessment is an important aspect in a variety of application areas. In this work, the objective quality assessment of 2.5D prints was performed. The work is done on camera captures under both diffuse (single-shot) ... -
Reflectance Transformation Imaging as a Tool for Computer-Aided Visual Inspection
(Peer reviewed; Journal article, 2022)This work investigates the use of Reflectance Transformation Imaging (RTI) rendering for visual inspection. This imaging technique is being used more and more often for the inspection of the visual quality of manufactured ... -
RESTful API Testing Methodologies: Rationale, Challenges, and Solution Directions
(Journal article; Peer reviewed, 2022) -
School of the Future: A Comprehensive Study on the Effectiveness of Augmented Reality as a Tool for Primary School Children’s Education
(Peer reviewed; Journal article, 2021)With the emerging technologies of augmented reality (AR) and virtual reality (VR), the learning process in today’s classroom is much more effective and motivational. Overlaying virtual content into the real world makes ... -
Sentiment Analysis of Students’ Feedback with NLP and Deep Learning: A Systematic Mapping Study
(Peer reviewed; Journal article, 2021)In the last decade, sentiment analysis has been widely applied in many domains, including business, social networks and education. Particularly in the education domain, where dealing with and processing students’ opinions ... -
Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models
(Peer reviewed; Journal article, 2021)Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing ...