Department of Information and Communication Technology: Nye registreringer
Viser treff 61-80 av 1275
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Identification of Irregularities in Salmon Fish in Aquaculture by Using Key Point Detection
(Master thesis, 2024)This project aims to deliver an AI based solution to find out irregularities and deformities in farmed salmon fish by using Keypoint detection -
Network slice allocation for 5G V2X networks: A case study from framework to implementation and performance assessment
(Peer reviewed; Journal article, 2023)Empowered by the capabilities provided by fifth generation (5G) mobile communication systems, vehicle-to-everything (V2X) communication is heading from concept to reality. Given the nature of high-mobility and high-density ... -
ICDC: Ranking Influential Nodes in Complex Networks Based on Isolating and Clustering Coefficient Centrality Measures
(Peer reviewed; Journal article, 2023)Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, ... -
A-GSTCN: An Augmented Graph Structural–Temporal Convolution Network for Medication Recommendation Based on Electronic Health Records
(Peer reviewed; Journal article, 2023)Medication recommendation based on electronic health records (EHRs) is a significant research direction in the biomedical field, which aims to provide a reasonable prescription for patients according to their historical ... -
Digitalisering og prosessledelse i offentlig sektor: en studie av digitalisering i norske kommuner
(Peer reviewed; Journal article, 2023)Nyere forskning viser at prosessledelse er viktig for å lykkes med digitalise-ring. Det er imidlertid begrenset kunnskap om hvor godt norske organisasjo-ner evner å bruke prosessledelse i sine digitaliseringssatsinger. ... -
Self-supervised embedding for generalized zero-shot learning in remote sensing scene classification
(Peer reviewed; Journal article, 2023)Generalized zero-shot learning (GZSL) is the most popular approach for developing ZSL, which involves both seen and unseen classes in the classification process. Many of the existing GZSL approaches for scene classification ... -
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter
(Peer reviewed; Journal article, 2023)The Compact Muon Solenoid (CMS) experiment is a general-purpose detector for high-energy collision at the Large Hadron Collider (LHC) at CERN. It employs an online data quality monitoring (DQM) system to promptly spot and ... -
A Trainable Approach to Zero-delay Smoothing Spline Interpolation
(Peer reviewed; Journal article, 2023)The task of reconstructing smooth signals from streamed data in the form of signal samples arises in various applications. This work addresses such a task subject to a zerodelay response; that is, the smooth signal must ... -
Ecosystem of Social Media Listening Practices for Crisis Management
(Peer reviewed; Journal article, 2021)The benefits of using social media data as a source of information are recognized by both practice and research in crisis management. However, the existing understanding on the matter is fragmented, it oscillates between ... -
Responsible AI: Concepts, critical perspectives and an Information Systems research agenda
(Peer reviewed; Journal article, 2022)Being responsible for Artificial Intelligence (AI) harnessing its power while minimising risks for individuals and society is one of the greatest challenges of our time. A vibrant discourse on Responsible AI is developing ... -
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 ... -
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 ... -
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 ... -
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 ...