Faculty of Engineering and Science: Recent submissions
Now showing items 221-240 of 3383
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Towards intelligent and trustworthy task assignments for 5G-enabled industrial communication systems
(Peer reviewed; Journal article, 2023)With the unprecedented prevalence of IIoT and 5G technology, various applications supported by industrial communication systems have generated exponentially increased processing tasks, which makes task assignment inefficient ... -
Performance Analysis of Spectrum Sharing Radar in Multipath Environment
(Peer reviewed; Journal article, 2023)Radar based sensing and communication systems sharing a common spectrum have become a potential research problem in recent years due to spectrum scarcity. The spectrum sharing radar (SSR) is a new technology that uses the ... -
Autonomous UAV Path Planning Using Modified PSO for UAV-Assisted Wireless Networks
(Peer reviewed; Journal article, 2023)Recently, unmanned aerial vehicles (UAVs) have attained considerable attention for providing reliable and cost-effective communication due to the flexibility of deployment and line of sight (LoS) propagation. Efficient UAV ... -
Generalized multi-cavity laser self-mixing interferometry based on scattering theory
(Peer reviewed; Journal article, 2023)We present a generalized mathematical model and algorithm for the multi-cavity self-mixing phenomenon based on scattering theory. Scattering theory, which is extensively used for travelling wave is exploited to demonstrate ... -
Deep Learning for Medical Image Cryptography: A Comprehensive Review
(Peer reviewed; Journal article, 2023)Electronic health records (EHRs) security is a critical challenge in the implementation and administration of Internet of Medical Things (IoMT) systems within the healthcare sector’s heterogeneous environment. As digital ... -
Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape
(Peer reviewed; Journal article, 2022)Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English). ... -
A Current Spectrum-Based Algorithm for Fault Detection of Electrical Machines Using Low-Power Data Acquisition Devices
(Peer reviewed; Journal article, 2023)An algorithm to improve the resolution of the frequency spectrum by detecting the number of complete cycles, removing any fractional components of the signal, signal discontinuities, and interpolating the signal for fault ... -
An Efficient Optimized DenseNet Model for Aspect-Based Multi-Label Classification
(Peer reviewed; Journal article, 2023)Sentiment analysis holds great importance within the domain of natural language processing as it examines both the expressed and underlying emotions conveyed through review content. Furthermore, researchers have discovered ... -
Extracellular enzyme activity in the coastal upwelling system off Peru: A mesocosm experiment
(Peer reviewed; Journal article, 2023)The Peruvian upwelling system is a highly productive ecosystem with a large oxygen minimum zone (OMZ) close to the surface. In this work, we carried out a mesocosm experiment off Callao, Peru, with the addition of water ... -
Machine learning-driven clinical decision support system for concept-based searching: a field trial in a Norwegian hospital
(Journal article, 2023)Background Natural language processing (NLP) based clinical decision support systems (CDSSs) have demonstrated the ability to extract vital information from patient electronic health records (EHRs) to facilitate important ... -
Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization
(Peer reviewed; Journal article, 2023)Object localization plays a crucial role in computational perception, enabling applications ranging from surveillance to autonomous navigation. This can be leveraged by fusing data from cameras and LiDARs (Light Detection ... -
Post-glacial colonization of the Fennoscandian coast by a plant parasitic insect with an unusual life history
(Peer reviewed; Journal article, 2023)Species that exhibit very peculiar ecological traits combined with limited dispersal ability pose a challenge to our understanding of ecological and evolutionary mechanisms. This is especially true when they have managed ... -
Hybrid General Regression NN Model for Efficient Operation of Centralized TEG System under Non-Uniform Thermal Gradients
(Peer reviewed; Journal article, 2023)The global energy demand, along with the proportionate share of renewable energy, is increasing rapidly. Renewables such as thermoelectric generators (TEG) systems have lower power ratings but a highly durable and ... -
Blockchain-Based Decentralized Architecture for Software Version Control
(Peer reviewed; Journal article, 2023)Version control is an important component of configuration management, and most enterprise-level software uses different tools and technologies to manage the software version control such as CVS, Subversion, or Perforce. ... -
Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system
(Peer reviewed; Journal article, 2023)The hybrid photovoltaic-thermoelectric generation system (PVTEG) gives two-fold benefits; firstly, it efficiently utilizes the available solar energy as it converts both solar irradiance and solar thermal energy into ... -
A novel optimization algorithm based PID controller design for real-time optimization of cutting depth and surface roughness in finish hard turning processes
(Peer reviewed; Journal article, 2023)This paper proposes a novel method to improve surface finish in turning processes by effectively controlling the cutting depth. A metaheuristic algorithm based PID control system, in combination with a piezoelectric vibration ... -
A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks
(Peer reviewed; Journal article, 2023)Blockchains are a new approach to creating distributed networks that were first introduced in 2008. It allows the formation of peer-to-peer networks based on consensus, forming chains from accepted blocks without requiring ... -
Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0
(Peer reviewed; Journal article, 2023)This paper presents an innovative approach for enhancing power output forecasting of Photovoltaic (PV) power plants in dynamic environmental conditions using a Hybrid Deep Learning Model (DLM). The hybrid DLM employs a ... -
Comprehensive sustainability strategy for the emerging ultra-high-performance concrete (UHPC) industry
(Peer reviewed; Journal article, 2023)The concrete industry is facing significant challenges in substantially reducing CO2 emissions, recycling waste materials and limiting the use of resources. Using ultra-high-performance concrete (UHPC) is one of the many ... -
Experimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experiment
(Peer reviewed; Journal article, 2023)The purpose of this study is to examine the impact of various process parameters, such as cold work, aging temperature, and aging time, on the yield strength, ultimate tensile strength (UTS), and elongation of AA6061 tubes. ...