Faculty of Engineering and Science: Recent submissions
Now showing items 361-380 of 3383
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A contrastive learning approach for individual re-identification in a wild fish population
(Peer reviewed; Journal article, 2023)In both terrestrial and marine ecology, physical tagging is a frequently used method to study population dynamics and behavior. However, such tagging techniques are increasingly being replaced by individual re-identification ... -
On the Theory and Applications of Hierarchical Learning Automata and Object Migration Automata
(Doctoral dissertations at University of Agder; no. 444, Doctoral thesis, 2023)The paradigm of Artificial Intelligence (AI) and the sub-group of Machine Learning (ML) have attracted exponential interest in our society in recent years. The domain of ML contains numerous methods, and it is desirable ... -
Ten priority questions for increasing the consistency and success in hatchery production of the European flat oyster for habitat restoration
(Peer reviewed; Journal article, 2023)The European flat oyster, Ostrea edulis, once formed extensive reef habitats throughout European seas and estuaries. These reefs are now largely functionally extinct, yet interest and support for their restoration is rapidly ... -
A Learning-Automata Based Solution for Non-equal Partitioning: Partitions with Common GCD Sizes
(Lecture Notes in Computer Science;12799, Peer reviewed; Journal article, 2021)The Object Migration Automata (OMA) has been used as a powerful tool to resolve real-life partitioning problems in random Environments. The virgin OMA has also been enhanced by incorporating the latest strategies in Learning ... -
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes
(IFIP Advances in Information and Communication Technology;627, Peer reviewed; Journal article, 2021)Solving partitioning problems in random environments is a classic and challenging task, and has numerous applications. The existing Object Migration Automaton (OMA) and its proposed enhancements, which include the Pursuit ... -
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 ... -
Digital Twin technology toward more sustainable buildings
(Doctoral dissertations at University of Agder;nr. 440, Doctoral thesis, 2023)The integration of digital technologies in the form of sensor networks and automation systems has a significant impact on the Architecture, Engineering, and Construction- Facility Management (AEC-FM) industry in terms of ... -
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 ...