Faculty of Engineering and Science
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Reliable Underlay D2D Communications over Multiple Transmit Antenna Framework
(Chapter; Peer reviewed, 2020)Robust beamforming is an efficient technique to guarantee the desired receiver performance in the presence of erroneous channel state information (CSI). However, the application of robust beamforming in underlay device-to-device ... -
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 ... -
Unravelling degradation mechanisms and overpotential sources in aged and non-aged batteries: A non-invasive diagnosis
(Peer reviewed; Journal article, 2024)In-depth analysis of overpotentials in complex electrochemical systems such as lithium-ion batteries is necessary for enhancing their energy and power density. However, dynamic operating conditions and complicated ageing ... -
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 ...
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