Scientific Publications in Information and Communication Technology: Nye registreringer
Viser treff 161-180 av 710
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Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation
(Peer reviewed; Journal article, 2022) -
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification
(Peer reviewed; Journal article, 2022)Extensive research has been conducted on the automatic classification of sleep stages utilizing deep neural networks and other neurophysiological markers. However, for sleep specialists to employ models as an assistive ... -
Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines
(Peer reviewed; Journal article, 2022)Recent research in novelty detection focuses mainly on document-level classification, employing deep neural networks (DNN). However, the black-box nature of DNNs makes it difficult to extract an exact explanation of why a ... -
Hierarchical Object Detection applied to Fish Species
(Peer reviewed; Journal article, 2022)Gathering information of aquatic life is often based on timeconsuming methods utilizing video feeds. It would be beneficial to capture more information cost-effectively from video feeds. Video based object detection has ... -
A Perspective Review on Integrating VR/AR with Haptics into STEM Education for Multi-Sensory Learning
(Peer reviewed; Journal article, 2022)As a result of several governments closing educational facilities in reaction to the COVID-19 pandemic in 2020, almost 80% of the world’s students were not in school for several weeks. Schools and universities are thus ... -
Video display terminal use and dry eye: preventive measures and future perspectives
(Peer reviewed; Journal article, 2022)Background Dry eye disease (DED) is a common cause of ocular pain and discomfort. Dry eye disease (DED) stems from a loss-of-tear film homeostasis and is frequently seen in video display terminal (VDT) users. Video display ... -
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
(Peer reviewed; Journal article, 2022)The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from ... -
An Ensemble Learning Method for Emotion Charting Using Multimodal Physiological Signals
(Peer reviewed; Journal article, 2022) -
Efficient Hardware Architectures for Accelerating Deep Neural Networks: Survey
(Peer reviewed; Journal article, 2022)In the modern-day era of technology, a paradigm shift has been witnessed in the areas involving applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). Specifically, Deep Neural Networks ... -
Design and Fabrication of Liquid Pressure Sensor using FBG Sensor through Seesaw Hinge Mechanism
(Peer reviewed; Journal article, 2022)Pressure sensors are used in various industrial applications assisting in preventing unintended disasters. This paper presents the design and fabrication of a novel Seesaw device incorporating a diaphragm and Fiber Bragg ... -
Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction
(Peer reviewed; Journal article, 2022)A revolution in network technology has been ushered in by software defined networking (SDN), which makes it possible to control the network from a central location and provides an overview of the network’s security. Despite ... -
Anomaly Detection in Traffic Surveillance Videos Using Deep Learning
(Peer reviewed; Journal article, 2022)In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the monitoring of abnormal human actions, and traffic surveillance. The detection and ... -
Human Simulation and Sustainability: Ontological, Epistemological, and Ethical Reflections
(Peer reviewed; Journal article, 2020) -
A Survey on Particle Swarm Optimization for Association Rule Mining
(Peer reviewed; Journal article, 2022)Association rule mining (ARM) is one of the core techniques of data mining to discover potentially valuable association relationships from mixed datasets. In the current research, various heuristic algorithms have been ... -
Personalized Recommendations for Physical Activity e-Coaching (OntoRecoModel): Ontological Modeling
(Peer reviewed; Journal article, 2022) -
Efficient and Secure Key Management and Authentication Scheme for WBSNs Using CP-ABE and Consortium Blockchain
(Peer reviewed; Journal article, 2022) -
A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream
(Peer reviewed; Journal article, 2022) -
A Comprehensive Skills Analysis of Novice Software Developers Working in the Professional Software Development Industry
(Peer reviewed; Journal article, 2022) -
MMSS: A storytelling simulation software to mitigate misinformation on social media
(Peer reviewed; Journal article, 2022)This paper proposes a modular python implementation of a storytelling simulation. The software evaluates misinformation mitigation strategies over social media and visualizes the investigated scenarios’ potential outcomes. ... -
HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study
(Peer reviewed; Journal article, 2022)