Scientific Publications in Information and Communication Technology
Recent Submissions
-
A resource competition-based truthful mechanism for IoV edge computing resource allocation with a lowest revenue limit
(Peer reviewed; Journal article, 2024)Resource allocation in Internet of Vehicles (IoV) edge computing is currently a research hotspot. Existing studies focus on social welfare or revenue maximization. However, there is little research on lowest revenue ... -
Exploring Affinity-Based Reinforcement Learning for Designing Artificial Virtuous Agents in Stochastic Environments
(Chapter; Peer reviewed, 2024)Artificial virtuous agents are artificial intelligence agents capable of virtuous behavior. Virtues are defined as an excellence in moral character, for example, compassion, honesty, etc. Developing virtues in AI comes ... -
Exploring online public survey lifestyle datasets with statistical analysis, machine learning and semantic ontology
(Peer reviewed; Journal article, 2024)Lifestyle diseases significantly contribute to the global health burden, with lifestyle factors playing a crucial role in the development of depression. The COVID-19 pandemic has intensified many determinants of depression. ... -
An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection
(Peer reviewed; Journal article, 2024)Falls are a major risk factor for older adults, increasing morbidity and healthcare costs. Video-based fall-detection systems offer crucial real-time monitoring and assistance. Yet, their deployment faces challenges such ... -
A Rule-Based Framework for Interpretable Natural Language Processing
(Doctoral dissertations at University of Agder; no. 500, Doctoral thesis, 2024)In recent years, neural network models have demonstrated remarkable results in natural language processing (NLP) tasks. These models have replaced complex hand-engineered methods for extracting and representing sentence ... -
Reference Design Model for a Smart e-Coach Recommendation System for Lifestyle Support Based on ICT Technologies
(Chapter; Peer reviewed, 2020)As acknowledged by the World Health Organization (WHO), the demographic development shows that by 2030, 8 out of the 10 foremost causes of death will be connected to risk conditions of lifestyle diseases, regardless of ... -
Identification of Nonlinear Causality in Multivariate Systems by Designing Interpretable Machine Learning Models
(Doctoral dissertations at University of Agder; no. 499, Doctoral thesis, 2024)The study focusing on inference and data analysis within networks has become increasingly important. This is due to the growing number of interconnected systems and the vast amounts of data they produce. Many of these ... -
The Art of Bootstrapping
(Chapter, 2020)Language workbenches are used to define languages using appropriate meta-languages. Meta-languages are also just languages and can, therefore, be defined using themselves. The process is called bootstrapping and is often ... -
A geometric street scattering channel model for car-to-car communication systems
(Chapter, 2011)This paper presents a geometric street scattering channel model for car-to-car (C2C) communication systems under line-of-sight (LOS) and non-LOS (NLOS) propagation conditions. Starting from the geometric model, we develop ... -
Towards Model-Based Reinforcement Learning for Industry-Near Environments
(Peer reviewed; Journal article, 2019)Deep reinforcement learning has over the past few years shown great potential in learning near-optimal control in complex simulated environments with little visible information. Rainbow (Q-Learning) and PPO (Policy ... -
Combining Auto-Encoder with LSTM for WiFi-Based Fingerprint Positioning
(Chapter, 2021)Although indoor positioning has long been investigated by various means, its accuracy remains concern. Several recent studies have applied machine learning algorithms to explore wireless fidelity (WiFi)-based positioning. ... -
Smart load prediction analysis for distributed power network of Holiday Cabins in Norwegian rural area
(Peer reviewed; Journal article, 2020)The Norwegian rural distributed power network is mainly designed for Holiday Cabins with limited electrical loading capacity. Load prediction analysis, within such type of network, is necessary for effective operation and ... -
Distributed Resource Allocation in Underlay Multicast D2D Communications
(Peer reviewed; Journal article, 2021)Multicast device-to-device communications operating underlay with cellular networks is a spectral efficient technique for disseminating data to nearby receivers. However, due to the critical challenge of having an intelligent ... -
A Convolutional Tsetlin Machine-based Field Programmable Gate Array Accelerator for Image Classification
(Chapter, 2022)This paper presents a Field Programmable Gate Array (FPGA) implementation of an image classification accelerator based on the Convolutional Tsetlin Machine (CTM). The work is a concept design, and the solution demonstrates ... -
On the Convergence of Tsetlin Machines for the XOR Operator
(Peer reviewed; Journal article, 2022)The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct properties, including transparent inference and learning using hardware-near building blocks. Although numerous papers explore the TM ... -
Recent Advances and Future Directions of Microwave Photonic Radars: A Review
(Journal article; Peer reviewed, 2021)Microwave photonic (MWP) radar has the advantages of generating and processing wide bandwidth microwave signals, reconfigurability, high immunity to electromagnetic interference compared to microwave electronic radar. It ... -
Measuring the Novelty of Natural Language Text using the Conjunctive Clauses of a Tsetlin Machine Text Classifier
(Chapter, 2021)Most supervised text classification approaches assume a closed world, counting on all classes being present in the data at training time. This assumption can lead to unpredictable behaviour during operation, whenever novel, ... -
Emergency Detection with Environment Sound Using Deep Convolutional Neural Networks
(Chapter, 2020)In this paper we propose a generic emergency detection system using only the sound produced in the environment. For this task, we employ multiple audio feature extraction techniques like the Mel-Frequency Cepstral Coefficients, ... -
ConvTextTM: An Explainable Convolutional Tsetlin Machine Framework for Text Classification
(Chapter, 2022)Recent advancements in natural language processing (NLP) have reshaped the industry, with powerful language models such as GPT-3 achieving superhuman performance on various tasks. However, the increasing complexity of such ... -
Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach
(Lecture Notes in Networks and Systems; no. 519, Chapter; Peer reviewed, 2023)The collective effects of sleep loss and sleep disorders are correlated with many adverse health consequences, including increased risk of high blood pressure, obesity, diabetes, depressive state, and cardiovascular symptoms. ...