Institutt for IKT og realfag: Nye registreringer
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Relationship between tropical leaf phenology and ecosystem productivity using phenocameras
(Peer reviewed; Journal article, 2023)Introduction: The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain ... -
Temporal Topology Density Map
(Peer reviewed; Journal article, 2023)Spatiotemporal data visualization is of paramount importance in several applications, especially for analyzing urban mobility data encoded on topologies. This paper introduces a novel solution, called Temporal Topology ... -
Decision Transparency for enhanced human-machine collaboration for autonomous ships
(Chapter, 2023)Maritime Autonomous Surface Ships (MASS) are quickly emerging as a gamechanging technology in various parts of the world. They can be used for a wide range of applications, including cargo transportation, oceanographic ... -
A novel binary Kepler optimization algorithm for 0–1 knapsack problems: Methods and applications
(Peer reviewed; Journal article, 2023) -
Data Analysis and Prediction of Turbine Failures Based on Machine Learning and Deep Learning Techniques
(Master thesis, 2023)Turbines, the backbone of numerous industries for power generation, assume a critical role in ensuring seamless operations and a continuous power supply to the system. Their uninterrupted working conditions and performance ... -
Digital twin-driven energy modeling of Hywind Tampen floating wind farm
(Peer reviewed; Journal article, 2023)This paper presents energy modeling of Hywind Tampen floating wind farm based on digital twin technology. Upon its completion, the Hywind Tampen wind farm is the largest floating wind farm in the World and the first floating ... -
SODRet: Instance retrieval using salient object detection for self-service shopping
(Peer reviewed; Journal article, 2024)Self-service shopping technologies have become commonplace in modern society. Although various innovative solutions have been adopted, there is still a gap in providing efficient services to consumers. Recent developments ... -
Learning Vocabularies to Embed Graphs in Multimodal Rank Aggregation Tasks
(Chapter, 2021)This paper introduces Supervised Bag of Graphs (SBoG), a supervised vocabulary learning approach for multi-modal graph-based rank aggregation tasks. In our formulation, collection objects are represented based on complementary ... -
Cross-subject EEG linear domain adaption based on batch normalization and depthwise convolutional neural network
(Journal article; Peer reviewed, 2023)Electroencephalogram (EEG)-based emotion recognition has been widely used in affective computing. However, the study on improving recognition accuracy across individuals is insufficient. In this study, a new linear domain ... -
An efficient and lightweight multiperson activity recognition framework for robot-assisted healthcare applications
(Peer reviewed; Journal article, 2024)Aging is inevitably associated with a decline in physical abilities and can pose challenges to the social lives of elderly individuals. In long-term care facilities, group exercise is instrumental for keeping elderly ... -
Enhancing Photovoltaic Efficiency with the Optimized Steepest Gradient Method and Serial Multi-Cellular Converters
(Peer reviewed; Journal article, 2023)Many methods have been developed to aid in achieving the maximum power point (MPP) generated by PV fields in order to improve photovoltaic (PV) production. The optimized steepest gradient technique (OSGM), which is used ... -
Survey for Interdisciplinary Co-supervision on Bachelor Thesis in Nautical Science
(Peer reviewed; Journal article, 2023)As the development of emerging technologies is applied in the maritime industry and nautical operations, an interdisciplinary supervision approach is expected to be designed in this subject to enable students the ability ... -
Region- and layer-specific investigations of the human menisci using SHG imaging and biaxial testing
(Peer reviewed; Journal article, 2023)In this paper, we examine the region- and layer-specific collagen fiber morphology via second harmonic generation (SHG) in combination with planar biaxial tension testing to suggest a structure-based constitutive model for ... -
PlastOPol: A Collaborative Data-driven Solution for Marine Litter Detection and Monitoring
(Chapter, 2023)Marine plastic pollution as a generally accepted global challenge has comprehensive impacts on our living environment. However, in practice, it is extremely difficult to monitor the severity of the problem based on the ... -
Bifurcation Analysis, Synchronization and FPGA Implementation of a New 3-D Jerk System with a Stable Equilibrium
(Peer reviewed; Journal article, 2023)This research paper addresses the modelling of a new 3-D chaotic jerk system with a stable equilibrium. Such chaotic systems are known to exhibit hidden attractors. After the modelling of the new jerk system, a detailed ... -
Virtual Sensors for Nonlinear Discrete-Time Dynamic Systems
(Peer reviewed; Journal article, 2023)The problem of virtual sensor design for nonlinear systems under the disturbance is investigated. Two different mathematical techniques are used to solve the problem: the algebra of functions and the logic-dynamic approach. ... -
Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks
(Peer reviewed; Journal article, 2023)Fibroids of the uterus are a common benign tumor affecting women of childbearing age. Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its automated diagnosis from medical images ... -
Towards Efficient and Trustworthy Pandemic Diagnosis in Smart Cities: A Blockchain-Based Federated Learning Approach
(Peer reviewed; Journal article, 2023)In the aftermath of the COVID-19 pandemic, the need for efficient and reliable disease diagnosis in smart cities has become increasingly serious. In this study, we introduce a novel blockchain-based federated learning ... -
A novel person re-identification network to address low-resolution problem in smart city context
(Peer reviewed; Journal article, 2023)We argue that accurate person re-identification is a vital problem for urban public monitoring systems in the smart city context. Since images captured from different cameras have arbitrary resolutions resulting in resolution ...