A Comparative Study on Optimal Engine-Start Performance of Parallel Hybrid Electric Vehicles With Various Starter Motors by Jaeyoon Kim, Kijong Park, Dongwoo Kim, Dongsuk Kum

“…Therefore, this paper systematically evaluates the optimal engine-start performance of three parallel HEVs with various starter motors and discusses how each architecture compares to one another in terms of engine-start performance. …”
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Comparative Analysis of Automated Machine Learning and Optimized Conventional Machine Learning for Concrete’s Uniaxial Compressive Strength Prediction by Chukwuemeka Daniel

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Comparative Analysis of Grass Pollen Dynamics in Urban and Rural Ireland: Identifying Key Sources and Optimizing Prediction Models by Moisés Martínez-Bracero, Andrés M. Vélez-Pereira, Emma Markey, Jerry Hourihane Clancy, Roland Sarda-Estève, David J. O’Connor

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A Comparative Analysis of Different Machine Learning Algorithms Developed with Hyperparameter Optimization in the Prediction of Student Academic Success by Bahar Demirtürk, Tuba Harunoğlu

“…In addition, the performances of all machine learning models were compared, using seventeen metric results for three cases, including results without hyperparameter optimization and determinations after hyperparameter optimization. …”
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A comparative study of drones path planning and bezier curve optimization based on multi-strategy search algorithm. by Ganbin Xu

“…The study compares three algorithms: Rapidly-exploring Random Trees (RRT), Ant Colony Optimization (ACO), and A*. …”
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A Comparative Study on Current- and Voltage-Optimized Circuit Scheme for Multiple-Transmitter and Single-Receiver WPT System by Jin Zhang, Weiao Xu, Dong Chen, Chen Zhang

“…Through comparative study, the voltage-optimized solution shows its advantages in adjustable source voltage and feeding current without any degradation of PDL. …”
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Optimizing Air Quality Monitoring: Comparative Analysis of Linear Regression and Machine Learning in Low-Cost Sensor Calibration by Runcheng Fang, Scott Collingwood, Yue Zhang, Joseph B. Stanford, Christina Porucznik, Darrah Sleeth

“…Abstract Background Low-cost sensors (LCS) are widely used for air quality monitoring, but their accuracy depends on proper calibration. This study compares linear regression (LR) and machine learning (ML) techniques, particularly random forest (RF), to determine optimal calibration strategies. …”
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10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO by Souleymane Drabo, Siqi Lai, Hongwei Liu, Xiangheng Feng

“…The present study aims to carry out a comparative Multi-Objective Optimization (MOO) of a 10 MW FOWT semi-submersible using three different metaheuristic optimization techniques and a sophisticated approach for optimizing a floating platform. …”
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Optimizing Particle Density for Accurate Wave Simulation: A Comparative Study of Non-Breaking and Breaking Wave Conditions by Thi-Quynh Nguyen, Kyong-Hwan Kwon, Chang-Wook Park, Kwang-Ho Lee

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Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks by Ruby Khan, Sumbal Khan, Bakht Pari, Krzysztof Puszynski

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A comparative study of different kinematic wake models within metaheuristics for efficient wind farm layout optimization by Antonio J. Romero-Barrera, David Casillas-Pérez, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona, Juan Blanco-Sancho, Sujan Ghimire, Ravinesh C. Deo, Antonio J. Caamaño, Sancho Salcedo-Sanz

“…Results show 10-15% efficiency improvements compared to random population initializations, with larger terrains favoring ensemble-based optimization, while denser layouts benefit from evolutionary approaches. …”
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A Comparative Study of Particle Swarm Optimization and Artificial Bee Colony Algorithm for Numerical Analysis of Fisher’s Equation by Geeta Arora, Kiran Bala, Homan Emadifar, Masoumeh Khademi

“…The aim of this research work is to obtain the numerical solution of Fisher’s equation using the radial basis function (RBF) with pseudospectral method (RBF-PS). The two optimization techniques, namely, particle swarm optimization (PSO) and artificial bee colony (ABC), have been compared for the numerical results in terms of errors, which are employed to find the shape parameter of the RBF. …”
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Optimizing Land Use Classification Using Google Earth Engine: A Comparative Analysis of Machine Learning Algorithms by M. Sultan, N. Saleous, S. Issa, B. Dahy, M. Sami

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A comparative study of query strategies in Pareto active learning for heat treatment optimization of medium-Mn steel by Seung-Hyeon Kim, Jin-Young Lee, Young-Kook Lee

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Comparative Analysis of Artificial Neural Networks and Evolutionary Algorithms in DEA-<i>β</i>-MSV Portfolio Optimization by Abdelouahed Hamdi, Arezou Karimi, Farshid Mehrdoust, Samir Brahim Belhaouari

“…The empirical results demonstrate that portfolios optimized with ANNs exhibit significantly lower risk compared to those derived from evolutionary algorithms, highlighting the superiority of ANN-based approaches in balancing risk and return under the proposed framework. …”
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Comparative analysis of maximum power point tracking methods for power optimization in grid tied photovoltaic solar systems by Abubakar Elsafi, Akram A. Almohammedi, Mohammed Balfaqih, Zain Balfagih, Saeed Sabri

“…System modeling and performance evaluation were conducted using MATLAB/Simulink, focusing on optimizing output and regulating the DC–DC boost converter’s switching frequency. …”
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Optimizing Supplier Selection: A Comparative Study of Fuzzy VIKOR and Fuzzy Moora for Performance-Based Decision Making by Johan Krisnanto Runtuk, Steven Christanto, Poh Kiat Ng

“…Supplier selection is crucial in supply chain management, directly impacting operational efficiency and production continuity. This study compares two Multi-Criteria Decision Making (MCDM) techniques&#x2014;Fuzzy VIekriterijumsko KOmpromisno Rangiranje (VIKOR) and Fuzzy Multi-Objective Optimization based on Ratio Analysis (MOORA)&#x2014;to optimize supplier selection for a manufacturing company in Indonesia facing single supplier dependency. …”
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Comparative analysis of lumped and semi-distributed hydrological models for an upland watershed in Ethiopia by Gebiaw T. Ayele, Bofu Yu

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Comparative analysis of energy dispatch strategies in PV-integrated renewable energy systems by Reza Babaei, David S.-K. Ting, Rupp Carriveau

“…A 60% albedo boosts RF by 7.6% and reduces NPC by 18%. Compared to LF, the optimal CC system lowers NPC by $0.02 M and COE by $0.002/kWh, while producing 90,551 kWh/year of surplus energy. …”
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Comparative study between local and average constitutive models for reinforced concrete panels by Beatriz da Costa Fernandes, Jordlly Reydson de Barros Silva, Bernardo Horowitz, Luís Filipe Almeida Bernardo

“… Abstract This article presents a calculation procedure for the Cracked Membrane Model (CMM) using optimization techniques based on previous works. For this purpose, the proposed calculation routine is divided into two phases. …”
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