Max-Min Fairness for Stacked Intelligent Metasurface-Assisted Multi-User MISO Systems by Nipuni Ginige, Prathapasinghe Dharmawansa, Arthur Sousa De Sena, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-Aho

“…To this end, we develop two max-min fairness algorithms based on instantaneous channel state information (CSI) and statistical CSI. …”
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Prediction of Diabetes in Middle-Aged Adults: A Machine Learning Approach by Gideon Addo, Bismark Amponsah Yeboah, Michael Obuobi, Raphael Doh-Nani, Seidu Mohammed, David Kojo Amakye

“…Background: Diabetes is a serious health concern requiring effective diagnostic strategies, particularly since its symptoms overlap with those of other conditions. …”
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Data sharing and GRA weight optimization for power prediction of distributed photovoltaic power plant considering missing NWP information by YANG Xiyun, YANG Yan, MENG Lingzhuochao, PENG Yan, WANG Chenxu

“…Since the output of photovoltaic power generation has a strong intermittency and volatility, the access of large-scale photovoltaic power plants will impact the stability of the power grid, so it is crucial to accurately predict the output of photovoltaics. …”
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Damage Identification of Conduit Rack in Offshore Platform Structures Based on a Novel Composite Neural Network by Jiaqiang Yan, Yuanchao Qiu, Renhe Shao, Ziqiao Ling, Ruixiang Zhang

“…In addition, we adopt the Newton-Raphson-based optimiser (NRBO) optimisation algorithm for global optimisation of the hyperparameters of TCN and BiLSTM to avoid the subjectivity of manual parameter tuning, which significantly improves the model convergence speed and generalisation performance. …”
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A high-resolution pan-Arctic meltwater discharge dataset from 1950 to 2021 by A. Igneczi, J. L. Bamber, J. L. Bamber

“…The complete data processing algorithm, including downscaling, is fully documented and relies on open-source software. …”
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Power Grid Clock Synchronization Optimization Based on Stackelberg Game Theory by Jiahao Li, Yitao Zhao, Yiming Zhang, Zhiyu Xia, Chuanxu Chen, Quansheng Guan

“…Secondly, an iterative algorithm for solving game equilibrium is designed. …”
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Limbal stem cell deficiency diagnostics by B.E. Malyugin, S.A. Borzenok, S.Yu. Kalinnikova, M.Yu. Gerasimov

“…One of the important problems is the lack of a clear diagnostic algorithm and a standardized set of diagnostic techniques for this condition. …”
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Adaptive deep feature representation learning for cross-subject EEG decoding by Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang

“…Conclusions: The promising results highlight the effectiveness of the ADFR algorithm for EEG decoding and show its potential for practical applications.…”
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Prediction of Biogas Yield from Codigestion of Lignocellulosic Biomass Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Model by Moses Oluwatobi Fajobi, Olumuyiwa Ajani Lasode, Adekunle Akanni Adeleke, Peter Pelumi Ikubanni, Ayokunle Olubusayo Balogun, Prabhu Paramasivam

“…The Gaussian membership function (Gauss-mf) was implemented for the fuzzification of input variables, while the hybrid algorithm was selected for the learning and mapping of the input-output dataset. …”
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Aerodynamic Optimization of Morphing Airfoil by PCA and Optimization-Guided Data Augmentation by Ao Guo, Jing Wang, Miao Zhang, Han Wang

“…For aircraft such as long-haul airliners, this is not necessarily a problem, since the cruise condition so heavily dominates a typical mission. …”
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Secukinumab Persistence in Patients with Psoriatic Arthritis: An Adalimumab-Matched Retrospective Cohort Database Study (FLYWAY) by Hideto Kameda, Kentaro Ishii, Junna Kiriyama, Toshiaki Mikami, Hideya Uratsuji, Akimichi Morita

“…Usefulness was evaluated using a published algorithm. Selected adverse events were documented. …”
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Theoretical Foundation of Black Hole Image Reconstruction Using PRIMO by Dimitrios Psaltis, Feryal Özel, Lia Medeiros, Tod R. Lauer

“…A new image-reconstruction algorithm, Principal-component Interferometric Modeling ( PRIMO ), applied to the interferometric data of the M87 black hole collected with the Event Horizon Telescope (EHT), resulted in an image that reached the native resolution of the telescope array. …”
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СONSTRUCTION OF COGNITIVE-DISCURSIVE MODEL OF DIACHRONIC PLURALITY IN TRANSLATION AS INTERPRETATIVE-HEURISTIC ACTIVITY by Yana V. Boiko

“…Cognitive-discursive modelling is an effective research methodology since, in the translation process, the translator himself uses target language means to model the reality described by the author. …”
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Exploring the Effect of Road Network Structure on Inter-Regional Accessibility in a Diverse Road Network by R. Thiede, I. Fabris-Rotelli, P. Debba, C. Cleghorn

“…Accessibility analyses quantify the level of access to certain areas or opportunities, such as employment and healthcare facilities. Since public data is often aggregated at the level of regions, such as administrative units, it is useful to quantify accessibility between regions. …”
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Patterns and variability of projected bioclimatic habitat for Pinus albicaulis in the Greater Yellowstone Area. by Tony Chang, Andrew J Hansen, Nathan Piekielek

“…P.albicaulis was modeled using a Random Forests algorithm for the 1980-2010 climate period and showed strong presence/absence separations by summer maximum temperatures and springtime snowpack. …”
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Feasibility Assessment of Using Smart Trackers in Telemedicine Systems to Remotely Monitor the Overall Health of Patients in Real-Time by I. V. Pospelova, I. V. Cherepanova, D. S. Bragin, V. N. Serebryakova

“…In order to avoid the high error in measuring systolic pressure, an algorithm for assessing the general health of patients was developed. …”
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Requalification of patients with severe asthma for biological therapy—Practical ‘ReQuaBi’ rate decision scheme based on the analytical model by Alicja Majos, Anna Ben Drissi, Maciej Kupczyk, Michał Panek

“…Objective The aim of the study was to prepare a universal decision‐making algorithm for requalifying patients for biological therapy based on available clinical data obtained from a leading reference centre in Poland. …”
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Comparing machine learning approaches for estimating soil saturated hydraulic conductivity. by Ali Akbar Moosavi, Mohammad Amin Nematollahi, Mohammad Omidifard

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”
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Harmonic Analysis of Radial Distribution Systems Embedded Shunt Capacitors by Abdallah Elsherif, Tamer Fetouh, Hasan Shaaban

“…However such analysis has become more and more important since the presence of harmonic-producing equipment is increasing. …”
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Bayesian FDOA Positioning with Correlated Measurement Noise by Wenjun Zhang, Xi Li, Yi Liu, Le Yang, Fucheng Guo

“…Conventional localization algorithms such as the two-stage weighted least squares (TSWLS) method, which jointly exploits TDOA and FDOA measurements for positioning, are thus no longer applicable since they will suffer from the thresholding effect and yield meaningless localization results. …”
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