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Young Hwan Choi and Joong Hoon Kim
This study compares the performance of self-adaptive optimization approaches in efficient water distribution systems (WDS) design and presents a guide for the selection of the appropriate method employing optimization utilizing the characteristic of each...
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Maksym Diachuk and Said M. Easa
The paper presents a technique of motion planning for autonomous vehicles (AV) based on simultaneous trajectory and speed optimization. The method includes representing the trajectory by a finite element (FE), determining trajectory parameters in Frenet ...
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Amr A. Abd El-Mageed, Ayoub Al-Hamadi, Samy Bakheet and Asmaa H. Abd El-Rahiem
It is difficult to determine unknown solar cell and photovoltaic (PV) module parameters owing to the nonlinearity of the characteristic current?voltage (I-V) curve. Despite this, precise parameter estimation is necessary due to the substantial effect par...
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Mukhtar Fatihu Hamza
Due to increased complexity and interactions between various subsystems, higher-order MIMO systems present difficulties in terms of stability and control performance. This study effort provides a novel, all-encompassing method for creating a decentralize...
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Andry Sedelnikov, Evgenii Kurkin, Jose Gabriel Quijada-Pioquinto, Oleg Lukyanov, Dmitrii Nazarov, Vladislava Chertykovtseva, Ekaterina Kurkina and Van Hung Hoang
This paper describes the development of a methodology for air propeller optimization using Bezier curves to describe blade geometry. The proposed approach allows for more flexibility in setting the propeller shape, for example, using a variable airfoil o...
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Jinjia Zhou and Jian Yang
Compressive Sensing (CS) has emerged as a transformative technique in image compression, offering innovative solutions to challenges in efficient signal representation and acquisition. This paper provides a comprehensive exploration of the key components...
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Gleice Kelly Barbosa Souza, Samara Oliveira Silva Santos, André Luiz Carvalho Ottoni, Marcos Santos Oliveira, Daniela Carine Ramires Oliveira and Erivelton Geraldo Nepomuceno
Reinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL). The integration of transfer learning (TL) with AutoRL in combinatorial optimization is an area that requir...
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Stefan Peev, Ivaylo Parushev and Ralitsa Yotsova
Undecalcified bone histology is a valuable diagnostic method for studying bone microarchitecture and provides information on bone formation, resorption, and turnover. It has various clinical and research applications. Toluidine blue has been widely adopt...
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Maolin Tang and Wei Li
Wireless communication tower placement arises in many real-world applications. This paper investigates a new emerging wireless communication tower placement problem, namely, continuous space wireless communication tower placement. Unlike existing wireles...
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Sepideh Hassani, Chih-Hung Chen and Natalia K. Nikolova
This paper addresses the design of ultra-wideband (UWB) impedance matching networks operating in the unlicensed 3.1?10.6 GHz frequency band for low-power applications. It improves the simplified real frequency technique (SRFT) by adding a realizability c...
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