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Experimental Validation for Spectrum Cartography using Adaptive Multi-kernels
(Chapter; Peer reviewed, 2017) -
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
(Peer reviewed; Journal article, 2022)In this article, we propose a novel algorithm for deep reinforcement learning named Expert Q-learning. Expert Q-learning is inspired by Dueling Q-learning and aims to incorporate semi-supervised learning into reinforcement ... -
An expert system for safety instrumented system in petroleum industry
(Master thesis, 2010)The expert system technology has been developed since 1960s and now it has proven to be a useful and effective tool in many areas. It helps shorten the time required to accomplish a certain job and relieve the workload for ... -
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment
(Journal article, 2022)The proliferation of fake news, i.e., news intentionally spread for misinformation, poses a threat to individuals and society. Despite various fact-checking websites such as PolitiFact, robust detection techniques are ... -
Explainable Tsetlin Machine Framework for Fake News Detection with Credibility Score Assessment
(Chapter, 2022)The proliferation of fake news, i.e., news intentionally spread for misinformation, poses a threat to individuals and society. Despite various fact-checking websites such as PolitiFact, robust detection techniques are ... -
Exploration and Performance Analysis of Clustering Algorithms for Time-Series Data with Dimension Reduction
(Master thesis, 2022)Clustering is an attempt to form groups of similar objects, and it is a powerful tool for discovering valuable underlying patterns in the data. When clustering on high dimensional data, the algorithms can suffer from the ... -
Exploration and Performance Analysis of Clustering Algorithms for Time-Series Data with Dimension Reduction
(Master thesis, 2022)Clustering is an attempt to form groups of similar objects, and it is a powerful tool for discovering valuable underlying patterns in the data. When clustering on high dimensional data, the algorithms can suffer from the ... -
An Exploration of Semi-supervised Text Classification
(Communications in Computer and Information Science;1600, Chapter; Peer reviewed, 2022)Good performance in supervised text classification is usually obtained with the use of large amounts of labeled training data. However, obtaining labeled data is often expensive and time-consuming. To overcome these ... -
An exploration of semi-supervised text classification
(Master thesis, 2021)Obtaining labeled data to train natural language machine learning algorithms is often expensive and time-consuming, while unlabeled data usually is free and easy to get. Frequently a large amount of labeled data ... -
Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment
(Peer reviewed; Journal article, 2022): The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. ... -
Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian
(Chapter; Peer reviewed, 2023)Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ... -
Exploring synchronization and lift suppression in fluid flow around vibrating cylinder: a parallel CFD and global optimization investigation
(Peer reviewed; Journal article, 2023)In this study, we employ a parallel Computational Fluid Dynamics (CFD) code integrated with the VTDIRECT95 algorithm, a parallel deterministic global optimization method, to conduct global optimization for an oscillating ... -
Exploring the Impact of Digital Global Governance through Affordance Theory: the Case of Climate Reporting
(Peer reviewed; Conference object, 2021)The world is facing global challenges, which has led to international policy development such as the Paris Agreement (the United Nations climate agreement). An important element of the Paris Agreement is reporting. As ... -
Exploring the mechanical, tribological, and morphological characteristics of areca fiber epoxy composites reinforced with various fillers for multifaceted applications
(Peer reviewed; Journal article, 2023)This investigation is primarily concerned with the effect of fly ash, basalt powder, and tungsten carbide (WC) on the mechanical, microstructural, and tribological behaviour of areca fiber-reinforced composites. The fillers ... -
Exploring the role of the sharing economy in disasters management
(Peer reviewed; Journal article, 2020) -
Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability
(Peer reviewed; Journal article, 2021) -
Face Inpainting via Nested Generative Adversarial Networks
(Peer reviewed; Journal article, 2019) -
Face Mask Detection Using Deep Convolutional Neural Network and MobileNetV2-Based Transfer Learning
(Peer reviewed; Journal article, 2022) -
Fall Detection Based on the Instantaneous Doppler Frequency : A Machine Learning Approach
(Chapter; Peer reviewed, 2019) -
Fast Distributed Subspace Projection via Graph Filters
(Chapter; Peer reviewed, 2018)A significant number of linear inference problems in wireless sensor networks can be solved by projecting the observed signal onto a given subspace. Decentralized approaches avoid the need for performing such an operation ...