Faculty of Engineering and Science
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Dynamic response analysis of a model truss bridge considering damage scenarios
(Peer reviewed; Journal article, 2023)Structural health monitoring plays a key role for maintenance and lifetime extension of bridges under complex loading conditions and damage scenarios. This paper applies vibration-based methods to monitor the structural ... -
Juvenile survival and movements of two threatened oceanic sharks in the North Atlantic Ocean inferred from tag-recovery data
(Journal article; Peer reviewed, 2023)Understanding population dynamics, movements, and fishing mortality is critical to establish effective shark conservation measures across international boundaries in the ocean. There are few survival and dispersal estimates ... -
Convolutional Tsetlin Machine-based Training and Inference Accelerator for 2-D Pattern Classification
(Peer reviewed; Journal article, 2023)The Tsetlin Machine (TM) is a machine learning algorithm based on an ensemble of Tsetlin Automata (TAs) that learns propositional logic expressions from Boolean input features. In this paper, the design and implementation ... -
Optimization of Multivariate Hawkes Processes via Decentralized Learning Automata: Towards Learning How to Boost Factual Information on Social Networks
(Doctoral dissertations at University of Agder;no. 439, Doctoral thesis, 2023)The increasing amount of misleading information on Social Media (SM) platforms is problematic. The reason is that these platforms have become one of the primary sources of information due to their ease-of-use and cheap ... -
Synchronising Wisdom and Implementation: A Formal ODD Approach to Expressing Insights on Bullying
(Doctoral Dissertations at the University of Agder;no. 441, Doctoral thesis, 2023)The Social Simulation methodology, a mix of traditionally unassociated fields, utilises computer models to describe, understand, predict, and reflect on social phenomena. The model creation process typically requires the ... -
Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms
(Peer reviewed; Journal article, 2023)The reliable operation of power transmission networks depends on the timely detection and localization of faults. Fault classification and localization in electricity transmission networks can be challenging because of the ... -
Design of Multiplexers for IoT-Based Applications Using Stub-Loaded Coupled-Line Resonators
(Peer reviewed; Journal article, 2023)This paper presents the design of microstrip-based multiplexers using stub-loaded coupled-line resonators. The proposed multiplexers consist of a diplexer and a triplexer, meticulously engineered to operate at specific ... -
Surface Electromyography and Artificial Intelligence for Human Activity Recognition - A Systematic Review on Methods, Emerging Trends Applications, Challenges, and Future Implementation
(Peer reviewed; Journal article, 2023)Human activity recognition (HAR) has become increasingly popular in recent years due to its potential to meet the growing needs of various industries. Electromyography (EMG) is essential in various clinical and biological ... -
The role of digital technologies in global climate negotiations
(Peer reviewed; Journal article, 2023) -
Multi-Channel Time-Frequency Domain Deep CNN Approach for Machinery Fault Recognition Using Multi-Sensor Time-Series
(Peer reviewed; Journal article, 2023)In the industry, machinery failure causes catastrophic accidents and destructive damage to the machines. It causes the machinery to stop and reduces production, causing financial losses to the industry. As a result, ... -
FPGA-Based PUF Designs: A Comprehensive Review and Comparative Analysis
(Peer reviewed; Journal article, 2023)Field-programmable gate arrays (FPGAs) have firmly established themselves as dynamic platforms for the implementation of physical unclonable functions (PUFs). Their intrinsic reconfigurability and profound implications for ... -
Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review
(Peer reviewed; Journal article, 2023)Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant fields have all benefited from recent ... -
IoT-Based Multi-Dimensional Chaos Mapping System for Secure and Fast Transmission of Visual Data in Smart Cities
(Peer reviewed; Journal article, 2023)A “smart city” sends data from many sensors to a cloud server for local authorities and the public to connect. Smart city residents communicate mostly through images and videos. Many image security algorithms have been ... -
DASMcC: Data Augmented SMOTE Multi-Class Classifier for Prediction of Cardiovascular Diseases Using Time Series Features
(Peer reviewed; Journal article, 2023)One of the leading causes of mortality worldwide is cardiovascular disease (CVD). Electrocardiography (ECG) is a noninvasive and cost-effective tool to diagnose the heart’s health. This study presents a multi-class classifier ... -
Atlantic cod individual spatial behaviour and stable isotope associations in a no-take marine reserve
(Peer reviewed; Journal article, 2023)Foraging is a behavioural process and, therefore, individual behaviour and diet are theorized to covary. However, few comparisons of individual behaviour type and diet exist in the wild. We tested whether behaviour type ... -
Proteomic analysis reveals mechanisms underlying increased efficacy of bleomycin by photochemical internalization in bladder cancer cells
(Peer reviewed; Journal article, 2023)Photochemical internalization (PCI) is a promising new technology for site-specific drug delivery, developed from photodynamic therapy (PDT). In PCI, light-induced activation of a photosensitizer trapped inside endosomes ... -
Thermal variability induces sex-specific morphometric changes in zebrafish (Danio rerio)
(Peer reviewed; Journal article, 2023)In nature, organisms are exposed to variable environmental conditions that impact their performance and fitness. Despite the ubiquity of environmental variability, substantial knowledge gaps in our understanding of organismal ... -
Approaches to Learning Mathematics: Preliminary Evidence of a Concise, Valid, and Reliable Instrument
(Peer reviewed; Journal article, 2023)We assess students’ approaches to learning mathematics not only to predict students’ learning outcomes but also for its crucial utilities in the teaching and learning process. These utilities range from evaluating effective ... -
A Novel Feature-Selection Algorithm in IoT Networks for Intrusion Detection
(Peer reviewed; Journal article, 2023)The Internet of Things (IoT) and network-enabled smart devices are crucial to the digitally interconnected society of the present day. However, the increased reliance on IoT devices increases their susceptibility to malicious ... -
The spirit of mathematical modelling – a philosophical study on the occasion of 50 years of mathematical modeling education
(Peer reviewed; Journal article, 2023)We mark the 50th anniversary of mathematical modeling education by reviving the term the spirit of mathematical modeling (SoMM), which idealistically reflects core aspects of mathematical modeling. The basis of our analysis ...
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