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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 Review of the State-of-the-Art of Sensing and Actuation Technology for Robotic Grasping and Haptic Rendering
(Chapter, 2022)In this paper, a survey of the state of the art, chal-lenges, and possibilities with sensing and actuation technology for robotic grasping and haptic rendering is presented. To this end, a survey and classification of ... -
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 ... -
Diagnosis of Sensor Faults in PMSM and Drive System Based on Structural Analysis
(Chapter; Peer reviewed, 2021)Virtual reality promises to be a tool that can improve higher education. Immersive virtual environments offer the chance to enrich courses with experiential learning experiences. The technological possibilities evolve ... -
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 ... -
Comparative Analysis of Machine Learning and Large Language Models for Evaluating Customer Feedback and Reviews in Telecommunication Services
(Master thesis, 2024)In the present era, reviews and personal recommendations play a significant role in guiding people’s decision-making processes. A fundamental task within natural language processing, sentiment analysis involves anticipation ... -
Entrepreneurs' Responses to Crises
(Master thesis, 2024)A quantitative study exploring both theoretical and practical perspectives on entrepreneurial crisis. -
A Trajectory-Driven SISO mm-Wave Channel Model for a Human Activity Recognition
(Chapter, 2021)In this paper, we propose a trajectory-driven three-dimensional (3D) non-stationary channel model for millimeter wave (mm-Wave) single-input single-output (SISO) systems. The proposed channel model is designed to model and ... -
Frequency-domain experimental setup for mechatronic and suspension system components
(Chapter, 2021)This paper presents a frequency-domain experimental setup for modal analysis of mechatronic and suspension system components. Design, instrumentation and dynamic behavior of the one degree-of-freedom (DOF) system, capable ... -
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, ... -
Sustainable approach to teaching embedded systems with hands-on project-based visible learning
(Peer reviewed; Journal article, 2021)Although purchasing state-of-the-art teaching equipment may be financially demanding, substantial efforts are being made at the Norwegian University of Science and Technology (NTNU) in Trondheim to provide students with ... -
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, ... -
Modeling and Analysis of Flexible Bodies Using Lumped Parameter Method
(Chapter, 2020)The modeling, identification and analysis of a flexible beam is presented. The lumped parameter method is used to model a flexible beam. The use of camera measurements to identify lumped parameters, namely spring stiffness ... -
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 ... -
Large surface magnetization in noncentrosymmetric antiferromagnets
(Peer reviewed; Journal article, 2020)Thin-film antiferromagnets (AFs) with Rashba spin-orbit coupling are theoretically investigated. We demonstrate that the relativistic Dzyaloshinskii-Moriya interaction (DMI) produces a large surface magnetization and a ... -
Developing Fracture-Based Fragility Curves for Steel Components in Corrosive Environments
(Journal article; Peer reviewed, 2022)Under excessive plastic deformations, pitting corrosion accelerates ductile fracture initiation in steel components. Because of the stochastic and time-dependent nature of corrosion in steel material, the integrity of the ... -
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. ... -
Creating Renewable Energy and Energy Efficiency Awareness: A Case Study on a Public Energy Awareness Campaign
(Article; Peer reviewed, 2024)This paper presents the outcomes of the collaborative project "Renewable Energy and Energy Efficiency for Sustainable Development in Sibiu County," conducted jointly by Sibiu County, Romania, Lucian Blaga University of ...
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