Optimal Driving Range for Battery Electric Vehicles Based on Modeling Users’ Driving and Charging Behavior by Zhenbo Lu, Qi Zhang, Yu Yuan, Weiping Tong

“…To meet the goal of the fitness of driving range, a stochastic simulation framework is established by the Monte Carlo method. Finally, with consideration of user heterogeneity, the optimal driving range under different charging scenarios is analyzed. …”
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Assessing computational methods of cis-regulatory module prediction. by Jing Su, Sarah A Teichmann, Thomas A Down

“…Different CRM representations and search strategies rely on different CRM properties, and different methods can complement one another. …”
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Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

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An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM by Wei Liu, Fan Hua, Yongping Cui, Yangchao Xu, Han Liu

“…In the prediction stage, an optimized LSTM using SMA is proposed to predict different frequency components separately, and the prediction results of multiple components are inversely reconfigured to obtain the load prediction results. …”
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Efficiency assessment of optimizing the schedule of urban passenger transport on duplicate sections by S. A. Azemsha, I. N. Kravchenia

“…The purpose of this work is to develop alignment technique of time intervals between consecutive vehicles of different routes on duplicate sections and efficiency assessment of its application.Materials and methods. …”
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Optimal endoscopy timing in elderly patients presenting with acute non-variceal upper gastrointestinal bleeding by Yavuz Cagir, Muhammed Bahaddin Durak, Ilhami Yuksel

“…Abstract Background To evaluate the optimal endoscopy time in elderly patients with nonvariceal upper gastrointestinal bleeding (NVUGIB) based on clinical outcomes. …”
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Co-Simulation Model for Determination of Optimal Active Power Filters Settings in Low-Voltage Network by Mario Primorac, Zvonimir Klaić, Heidi Adrić, Matej Žnidarec

“…This paper, along with a detailed analysis of the literature, provides an overview of different views on the problems of optimal allocation of active filters and emphasizes the importance that the problem of optimal allocation of active filters should be based on the variability of the harmonic spectrum as a function of time. …”
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Optimal timing of hysteroscopic follow-up to prevent the recurrence of intrauterine adhesions: a retrospective study by Shouli Dao, Lijun Zhang, Chunhua Liu, Huafeng Tan, Junqi Yang, Kani Zou, Shubi Wang

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Innovative multi objective optimization based automatic fake news detection by Cebrail Barut, Suna Yildirim, Bilal Alatas, Gungor Yildirim

“…The proposed method is tested on four different datasets such as Covid-19, Syrian war daily news and FakeNewsNet (Gossipcop). …”
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Multi-Function Evaluation and Internal Land Use Optimization of Rural Settlements by Nan Wang, Lei Zhang, Jinmin Hao, Jinyi Zhang

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Leveraging prior mean models for faster Bayesian optimization of particle accelerators by Tobias Boltz, Jose L. Martinez, Connie Xu, Kathryn R. L. Baker, Zihan Zhu, Jenny Morgan, Ryan Roussel, Daniel Ratner, Brahim Mustapha, Auralee L. Edelen

“…Finally, we demonstrate how these methods can be used to improve optimization in practical applications, such as transferring information gained from beam dynamics simulations to online control of the LCLS injector, and transferring knowledge gained from experimental measurements across different operating modes, such as accelerating different ion species at the ATLAS heavy ion accelerator.…”
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Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection by Hassan Tariq, Mehwish Majeed, Mueed Ahmad

“…Hyperparameter tuning plays a critical role in optimizing the performance of SVM by helping to prevent overfitting or underfitting, enhancing model stability, adapting the model to different types of datasets, and increasing predictive power. …”
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What are the optimal mind-body therapies for cancer-related pain? A network meta-analysis by He Xiuyun, Liang Guangyuan, Zou Zhi, Yu Siying, Lin Youtian, Wang Yafei, Li Yinhua, Wang Yuling, Hou Xiaohui

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OPTIMIZATION OF TRANSIEN PROCESSES OF WATER LEVEL VARIATION IN DRUM OF STEAM BOILERS by G. T. Kulakov, A. N. Kuharenko

“…That is why it is needed to improve. Different methods of proportional plus reset controller regulation of three-phase automatic feed control system are considered. …”
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Optimal Scheduling of Hydro-photovoltaic Complementary Systems Based on Multi-objective Moth-flame Algorithm by LI Ze-hong, YUAN Xiao-feng, XIAO Peng, ZHANG Tai-heng, QIN Hui

“…[Results] The R-IMOMFO algorithm demonstrated fast convergence, strong resistance to premature convergence, and high accuracy, proving to be an effective method for solving complex multi-objective optimization problems. …”
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Optimal aspiration pressure of suction pump for oocyte retrieval in infertile patients undergoing in vitro fertilization. by Sung Woo Kim, Hye Yun Kim, Ji Yeon Han, Hoon Kim, Seung-Yup Ku

“…Despite evolving techniques, the optimal aspiration pressure during retrieval remains debatable, with limited in vivo human studies. …”
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Earthworm optimization algorithm for extracting parameters for solar cells and photovoltaic modules by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine

“…In this paper, we deal with the use of the earthworm optimization algorithm (EOA) in foraging to estimate and extract the intrinsic electrical parameters of single-, double-, and triple-diode solar cells and photovoltaic modules across different technologies. …”
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Optimal layout of sensors in large-span cable-stayed bridges subjected to moving vehicular loads by Qingfei Gao, Kemeng Cui, Jun Li, Binqiang Guo, Yang Liu

“…In fact, bridges primarily suffer the dynamic load, of which the response has a significant impact on the structural health. In this article, an optimal sensor layout method for a long-span cable-stayed bridge based on dynamic response is proposed under the consideration of vehicle–bridge coupled vibration. …”
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Computational intelligence to detect bearing faults using optimal features from motor current signals by G. Geetha, P. Geethanjali

“…The study aims to find the fewest and most reliable features in the dataset from Paderborn University so that a simple and accurate way can be found to diagnose faults using current signals. The selection of optimal features is initially performed using three algorithms: the equilibrium optimizer, the emperor penguin optimizer (EPO), and the butterfly optimization method. …”
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Enhanced Success History Adaptive DE for Parameter Optimization of Photovoltaic Models by Yingjie Song, Daqing Wu, Ali Wagdy Mohamed, Xiangbing Zhou, Bin Zhang, Wu Deng

“…Finally, a parameter optimization method based on EBLSHADE is proposed to optimize parameters of PV models. …”
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