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Design and implementation of an adaptive controller for a quadcopter.
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Fractionation of agro-waste to producebiopolymers and bioactive compounds for active food packaging
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Aerodynamic losses and endwall heat transfer in a linear vane cascade with endwall film-cooling and endwall-leading edge contouring
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Extension and verification of the PWM_SA model to incorporate SANI-specific bioprocesses using experimental data from the Hong Kong SANI saline sewage treatment pilot plant.
Published 2025“…The biochemical processes for sulfate reduction and autotrophic denitrification were integrated into the matrix along with their corresponding stoichiometric and kinetic pa rameters, offering a detailed representation of the biochemical interactions and transfor mations occurring in the system. …”
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Subsynchronous resonance in series compensated networks with high penetration of renewable energy sources
Published 2022“…The dissertation dissects the SSR problem with emphasis on its management in a modern power system environment receiving rising RES and flexible alternating current transmission systems (FACTS) connections through series compensated lines. The simulations performed in this study utilised the IEEE first benchmark model (FBM) within Digital Simulation and Electrical Network – PowerFactory (DIgSILENT) software. …”
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Fault tolerance in WBAN applications
Published 2018“…The two main communication protocols utilized in this system are Low power Wi-Fi (IEEE 802.11n) and Long Term Evolution (LTE). …”
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Degradation behaviour of the mechanical properties of bovine cortical bone
Published 2025“…This study sheds light on the practical implications of specimen storage protocols in preserving bone integrity. In parallel, the efficacy of cross-section bone specimen tests as an intermediary validation step for simulations is presented. …”
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Manufacturing GMP-grade mRNA vaccine-associated Enzymes: Bioprocess Development and Economics
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Using ad hoc wireless networks to enable intelligent transport systems: the design and analysis of the TH(O)RP routing protocol
Published 2007Get full text
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Techno-Economic modelling of hybrid renewable mini-grids for rural electrification planning in Sub-Saharan Africa
Published 2019“…Given the intermittent and location-dependent nature of renewable energy sources, the evolving costs and performance characteristics of individual technologies, and the characteristics of interacting technologies, detailed system simulation and demand modelling is required to determine the cost optimal combinations of technologies for each-and-every potential mini-grid site. …”
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Continuum Damage Mechanics to Model Glulam Beams Reinforced with Glued-In Steel Cables
Published 2024“…However, it was unable to accurately represent interactions between the reinforcing steels and timber. …”
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Measuring cross-section data for prompt gammas emitted during proton-nucleus collisions
Published 2018“…The first part of this study was to experimentally measure the interaction cross section for proton-nucleus collisions in both carbon and oxygen. …”
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The design of an FM-CW proximity radar
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The development of an ‘emission inventory tool’ for brickmaking clamp kilns
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Architecture of a cognitive non-line-of-sight backhaul for 5G outdoor urban small cells
Published 2018“…In the new architecture the integration of these technologies is considered. This involves the design of efficient artificial intelligence algorithms to enable backhaul radio devices to autonomously select suitable NLOS propagation paths, find an optimal number of links that meet the backhaul performance requirements and determine an optimal number of diffractions points capable of covering predetermined SCB locations. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning
Published 2024“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. This primitive and model-free form of reinforcement learning utilizes the Markov Decision Process and the Bellman's equation to reiteratively update Q-values in Q-table for every transition in the network environment state, until Q-function has converged to the best Q-Values. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning
Published 2024“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. This primitive and model-free form of reinforcement learning utilizes the Markov Decision Process and the Bellman's equation to reiteratively update Q-values in Q-table for every transition in the network environment state, until Q-function has converged to the best Q-Values. …”
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