Studies to solve the transmission expansion problem (TEP) for a power system can benefit from employing complex network or graph theory metrics to speed up analysis and lead to more realistic methodologies. Currently,...
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This paper presents a unique control architecture for grid-connected inverters. By adding vendor-provided static controllers to an identification-based adaptive control strategy, the proposed method expands the contro...
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Data transfer from underwater acoustic sensor networks (UASNs) to cloud services is challenging due to the severe bandwidth constraints of acoustic communication and energy consumption constraints of battery-powered s...
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This paper presents an external wrench estimator that uses a hybrid dynamics model consisting of a firstprinciples model and a neural network. This framework addresses one of the limitations of the state-of-the-art mo...
Vehicle suspension systems play a pivotal role in ensuring both comfort and safety during driving by maintaining stability and handling. Recent advancements in reinforcement learning (RL) for control design offer adap...
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This paper analyzes the performance of satellite-integrated terrestrial communications with a multi-input-multi-output (MIMO) relaying unmanned air vehicle (UAV) and multiple mobile users. Due to the time-varying natu...
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This paper presents the development of an affordable wireless current-voltage (I-V) characterization system based on a low-cost Wi-Fi enabled microcontroller unit (MCU). The prototype instrumentation uses a low-power ...
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The Javanese letters are one of the cultural heritage of the Javanese tribe with unique letter shapes and writing procedures. This uniqueness makes the Javanese letters an interesting material in pattern recognition r...
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Skull fractures, especially those of the base and facial regions, are challenging to identify due to the intricate anatomy and their subtle morphological characteristics. They necessitate meticulous attention and allo...
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