Designing a new optimal controller for a PEMFC by an improved design of the Coot Optimizer by Zheng Wang, Mehrdad Rezaie, Gholamreza Fathi

“…Abstract This research introduces a novel optimal control strategy for Proton Exchange Membrane Fuel Cells (PEMFCs) utilizing a DC/DC converter, aimed at enhancing performance and longevity. …”
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Classification of melanoma skin Cancer based on Image Data Set using different neural networks by Rukhsar Sabir, Tahir Mehmood

“…In addition to accuracy, a comprehensive set of evaluation metrics was employed for EfficientNet-B0: sensitivity of 99%, specificity of 93%, F1-score of 97%, precision of 95%, and an error rate of 3%. It also demonstrated a Mathew’s correlation coefficient of 94% and a geometric mean of 1.01. …”
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Predictive optimization in automotive supply chains: a BiLSTM-Attention and reinforcement learning approach by Asmae Amellal, Issam Amellal, Mohammed Rida Ech-charrat, Hamid Seghiouer

“…This predictive model achieved a Mean Squared Error (MSE) of 0.0525 and an R² value of 0.896, indicating high accuracy and an ability to explain substantial variance in customer behavior. …”
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Investigation of DC-Biased Optical OFDM With Precoding Matrix for Visible Light Communications: Theory, Simulations, and Experiments by Tao Jiang, Ming Tang, Rui Lin, Zhenhua Feng, Xi Chen, Lei Deng, Songnian Fu, Xiang Li, Wu Liu, Deming Liu

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Utilization of the mid-infrared spectroscopy in a county-scale soil survey: The case of Pest County, Hungary by Mohammed Ahmed MohammedZein, Brian Rotich, Elsadig Omer, Nada Eldawwy, Adam Csorba

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Dispersion Characteristics of Complex Resistivity and Petroelectric Parameters of Deep Coal Seam in the Ordos Basin by DENG Ze, ZHAO Qun, FAN liyong, GE Xinmin, HUANG Daojun, SHI Lei, WANG Ziming, ZHANG Yonghao

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Robot‐assisted total knee arthroplasty improves mechanical alignment and accuracy of component positioning compared to the conventional technique by Chang Hyun Nam, Su Chan Lee, Jin‐Hong Kim, Hye Sun Ahn, Ji‐Hoon Baek

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Evaluation of the psychometric properties of the Brazilian version of the Digital Health Literacy Instrument for individuals with heart failure by Daniele Cristina Bosco Aprile, Karina Aparecida Lopes da Costa, Renata Eloah de Lucena Ferretti-Rebustini, Vinicius Batista Santos, Mirian Ueda Yamaguchi, Camila Takáo Lopes

“…The adjusted model showed Comparative Fit Index = 0.99, Tucker-Lewis Index = 0.99 and Goodness of Fit Index = 0.98 and Root Mean Square Error of Approximation = 0.07. Conclusions: The Brazilian version of the Digital Health Literacy Instrument demonstrated strong internal structure validity and reliability for individuals with heart failure, supporting its use in research and clinical practice.…”
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The Impact of Vaccination on Disease Course and Outcome in Intensive Care Patients With COVID-19 by B. I. Kurilin, V. Y. Kiselevskaya-Babinina, Y. V. Kuzmicheva, A. V. Shapoval, N. E. Drozdova, K. A. Popugayev

“…The calculation of additional absolute and relative values, average errors of indicators was made. Statistical significance of differences in numerical values was determined using the Student’s t-test, categorical values were calculated using the ӽ2 test. …”
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Regularized Kaczmarz Solvers for Robust Inverse Laplace Transforms by Marta González-Lázaro, Eduardo Viciana, Víctor Valdivieso, Ignacio Fernández, Francisco Manuel Arrabal-Campos

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A Study of the Optimal Logic Combinations of RO-Based PUFs on FPGAs to Maximize Identifiability by Raúl Aparicio-Téllez, Miguel Garcia-Bosque, Guillermo Díez-Señorans, Francisco Aznar, Santiago Celma

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Temperature-Dependent Kinetic Modeling of Nitrogen-Limited Batch Fermentation by Yeast Species by Artai R. Moimenta, Romain Minebois, David Henriques, Amparo Querol, Eva Balsa-Canto

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Radar-equivalent snowpack: reducing the number of snow layers while retaining their microwave properties and bulk snow mass by J. Meloche, N. R. Leroux, B. Montpetit, V. Vionnet, C. Derksen

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Kinetics of Sludge Superheated Steam Drying and Optimization of Process Parameters by Xukun Zhang, Pu Xing, Shengping Liu, Chengzhen Zhang, Weiliang Fu

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FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction by Ting Qiu, Chan-Tong Lam, Bowie Liu, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im

“…Experimental results demonstrate that our frontend-enhanced network achieves a reduction in the Mean Absolute Percentage Error (MAPE) by 15.36%, 13.44%, and 19.07% compared to traditional time series forecasting models like CNN, LSTM, and Transformer, respectively. …”
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Refinement Analysis of Real Dihedral and Trihedral CR-InSAR Based on TerraSAR-X and Sentinel-1A Images by Hui Liu, Bochen Zhou, Changwei Miao, Shihuan Li, Lei Xu, Ke Zheng, Geshuang Li, Shiji Yang, Mengyuan Zhu

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An urban land surface temperature and emissivity separation algorithm from ASTER TIR data and its application by Jinglun Li, Kun Li, Yonggang Qian, Xianhui Dou, Qijin Han, Jian Zeng, Hang Zhao, Qiongqiong Lan, Zhaopeng Xu, Jiayi Bai, Baoan Wei, Xining Liu, Feng Wang, Juntao Yang, Yueming Wang

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Hibernoma: A case report of a rare soft lipoid tissue in the neck by Zineb Ezzoulali, MD, Amal Akammar, PhD, Nawal Hammas, PhD, Hajar Ouazzani, PhD, Ismail Chaouche, PhD, Nizar El Bouardi, PhD, Meryem Haloua, PhD, Badreeddine Alami, PhD, My Youssef Alaoui Lamrani, PhD, Mustapha Maaroufi, PhD, Meryem Boubbou, PhD

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Sa'adi in the Chain of Prosodic Poets (A Critical Study of the Meters of Sa'adi ’s poetry, Based on Printed Texts and Manuscripts, With a Discussion about Prosodic Poets throughout... by Mohammadamir Jalali

“…Too much meters and make new meters by changing the meters of Arabic poetry ("Iranicized meter") and his "musical eloquence" in Golestan's poems, are the reasons to prove that Sa'adi is a prosodic poet. In this paper, the errors of previous researchers have been criticized.…”
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The role of visual experience in haptic spatial perception: evidence from early blind, late blind, and sighted individuals by Lara A. Coelho, Daniela E. Aguilar Ramirez, Serena Basta, Marta Guarischi, Claudia L. R. Gonzalez, Monica Gori

“…Blind participants made more errors than sighted participants; early blind performed the worst. …”
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