Blar i Institutt for datateknologi og informatikk på dokumenttype "Journal article"
Viser treff 81-100 av 1771
-
Activity-Driven Task Allocation in Energy-Constrained Heterogeneous GPUs Systems
(Peer reviewed; Journal article, 2021)As computing systems continue to increase in complexity, energy optimization plays a key role in the design and implementation of heterogeneous systems. Although the energy consumed by off-chip memory accounts for a large ... -
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 ... -
Adapting team-based learning in a mathematics course for computer engineering students
(Journal article; Peer reviewed, 2018)For computer engineering students, mathematics is fundamental. However, it is a subject with a high failure rate, and mathematics anxiety is common, also in STEM. To provide students with a working knowledge of mathematics ... -
Adaption of Imaging Techniques for Monitoring Cultural Heritage Objects
(Peer reviewed; Journal article, 2022)The paper describes the ongoing research on an interdisciplinary approach regarding the technological developments adapted for monitoring CH objects. It covers aspects from data capturing, to data processing and cross-time ... -
Adaptive assessment and content recommendation in online programming courses: On the use of Elo-rating
(Journal article; Peer reviewed, 2022)Online learning systems should support students preparedness for professional practice, by equipping them with the necessary skills while keeping them engaged and active. In that regard, the development of online learning ... -
Adaptive context encoding module for semantic segmentation
(Peer reviewed; Journal article, 2020)The object sizes in images are diverse, therefore, capturing multiple scale context information is essential for semantic segmentation. Existing context aggregation methods such as pyramid pooling module (PPM) and atrous ... -
An Adaptive Game-Based Learning Strategy for Children Road Safety Education and Practice in Virtual Space
(Peer reviewed; Journal article, 2021)Virtual reality (VR) has been widely used as a tool to assist people by letting them learn and simulate situations that are too dangerous and risky to practice in real life, and one of these is road safety training for ... -
Adaptive Stress Testing: Finding Likely Failure Events with Reinforcement Learning
(Peer reviewed; Journal article, 2020)Finding the most likely path to a set of failure states is important to the analysis of safety-critical systems that operate over a sequence of time steps, such as aircraft collision avoidance systems and autonomous cars. ... -
Adding value through enterprise building information models in health-care services
(Journal article; Peer reviewed, 2023) -
Additivity Constrained Linearisation of Camera Calibration Data
(Peer reviewed; Journal article, 2023)When characterising a digital camera spectrally or colourimetrically, the camera response to a generally diffusely reflecting colour chart is often employed. The recorded responses to the light incident from each colour ... -
Addressing Differences in Safety Influencing Factors—A Comparison of Offshore and Onshore Helicopter Operations
(Journal article; Peer reviewed, 2018)The accident levels in helicopter transportation vary between geographical regions and types of operations. In this paper, we develop some hypotheses regarding the factors that may explain this variation. The aim of this ... -
Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy
(Journal article; Peer reviewed, 2017)This paper proposes an advanced method for contrast enhancement of capsule endoscopic images, with the main objective to obtain sufficient information about the vessels and structures in more distant (or darker) parts of ... -
Advances in Databases and Information Systems (ADBIS) 2016 & 2017
(Journal article; Peer reviewed, 2019) -
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 ... -
Advancing Material Appearance Measurement: A Cost-Effective Multispectral Imaging System for Capturing SVBRDF and BTF
(Peer reviewed; Journal article, 2023)This paper introduces a novel system for measuring the appearance of materials by capturing their reflectance represented by Spatially Varying Bidirectional Reflectance Distribution Function (SVBRDF) and Bidirectional ... -
Adversarial Samples on Android Malware Detection Systems for IoT Systems
(Journal article; Peer reviewed, 2019)any IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ... -
Affordances in Human-Chatbot Interaction: A Review of the Literature.
(Peer reviewed; Journal article, 2021)The present study advances our understanding of human-AI interactions, by identifying and analyzing chatbot affordances in prior research. The results of this review consolidate research findings on chatbots’ affordances, ... -
AI Technology: Threats and Opportunities for Assessment Integrity in Introductory Programming
(Peer reviewed; Journal article, 2023)Recent AI tools like ChatGPT have prompted worries that assessment integrity in education will be increasingly threatened. From the perspective of introductory programming courses, this paper poses two research questions: ... -
AI-Driven Salient Soccer Events Recognition Framework for Next Generation IoT-Enabled Environments
(Journal article; Peer reviewed, 2021)The salient events recognition of soccer matches in next-generation Internet of things (Nx-IoT) environment aims to analyze the performance of players/teams by the sports analytics and managerial staff. The embedded Nx-IoT ...