Resilient $${\mathcalligra {H}}_\infty$$ filter design for networked control systems under communication jamming cyberattacks by Muhammad Ali, Ghulam Mustafa, Hasnain Ahmad, Muhammad Abid, Salman Habib, Roobaea Alroobaea, Ali ELrashidi

“…Consequently, the discrete-time models of filtering error systems become time-dependent, thereby complicating the design of filters. …”
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A fiber channel modeling method based on complex neural networks by Haifeng Yang, Yongjun Wang, Chao Li, Lu Han, Qi Zhang, Xiangjun Xin

“…We describe the architecture and parameters of the C-CGAN and employ complex-valued windowed construction for input data. Subsequently, we evaluate the model’s accuracy and generalization capabilities using the normalized mean square error (NMSE) and benchmark it against the real-valued conditional generative adversarial network (R-CGAN). …”
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RunicNet: Leveraging CNNs With Attention Mechanisms for Cervical Cancer Cell Classification by Erin Beate Bjørkeli, Morteza Esmaeili

“…The model was trained on a dataset of 85 080 cell images, employing data augmentation and class balancing techniques to address dataset imbalances. …”
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Dynamics of different ion release from denture-base acrylic resins and their mechanical properties after the addition of bioactive materials by Zbigniew Raszewski

“…The measurements were presented as mean ± SD error of the mean. Data were analyzed by two-way analysis of variance, with a p-value of <0.05 as statistically significant. …”
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Enhancement using CIRCLE software post cornea lenticule extraction for advanced refractive correction by Gitansha S Sachdev, Tasneem Neemuchwala, Shreyas Ramamurthy

“…Results: Nine eyes of six patients were included in the data analysis. The mean preoperative refractive spherical equivalent treated using the CLEAR software was −5.04 ± 2.28 diopter (D). …”
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Tracking and climbing behavior recognition of heavy-duty trucks on roadways by Lei Tang, Jingchi Jia, Zongtao Duan, Jingyu Ma, Xin Wang, Weiwei Kong

“…Random noise within the sampled elevation data is addressed by time-based segmentation to extract time-continuous samples at geographical locations. …”
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A Multihierarchy Flow Field Prediction Network for Multimodal Remote Sensing Image Registration by Wenqing Wang, Kunpeng Mu, Han Liu

“…This effectively enhances the subsequent effects of multisource data fusion, object detection and recognition, and provides support for geographic spatial analysis and applications. …”
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Multiscale Physics of Atomic Nuclei from First Principles by Z. H. Sun, A. Ekström, C. Forssén, G. Hagen, G. R. Jansen, T. Papenbrock

“…Our calculations accurately reproduce—within theoretical error bars—available experimental data for low-lying collective states and the electromagnetic quadrupole transitions in ^{20−30}Ne. …”
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The Effects of Six Weeks of Patella Taping on Function, Proprioception, and Balance in Women with Knee Osteoarthritis by Maryam Alikhani, Hamid Tabatabai

“…Function was assessed using the WOMAC questionnaire, static balance with the single-leg stance test, dynamic balance with the Timed Up & Go test, and proprioception with the joint position sense error test. Data were analyzed using paired-sample t-tests for within-group comparisons and analysis of covariance (ANCOVA) for between-group comparisons. …”
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Experimental study on DEM parameters calibration for organic fertilizer by the particle swarm optimization − backpropagation neural networks by Fandi Zeng, Limin Liu, Yinzeng Liu, Hongbin Bai, Chunxiao Li, Zhihuan Zhao

“…The regression fitting models of the BP neural network have been developed from the data set derived from the Central Composite Design test results. …”
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A method to measure the azimuth of a laser-tracking cooperative target by changing inner laser's direction by Qifan Qiu, Zhi Cheng, Doudou Gao, Yang Li, Dengfeng Dong, Chengjun Cui, Yixuan Han

“…Finally, a high-precision attitude measurement system is constructed, experimental data acquisition and parameter model calibration are carried out, and accuracy analysis and evaluation are carried out through verification experiments. …”
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Role of Gender in the Prevalence of Myopia among Polish Schoolchildren by Maciej Czepita, Damian Czepita, Krzysztof Safranow

“…Myopia was defined as SE of at least −0.5 D. Data analysis was performed using the Mann–Whitney U test and 2-sided Fisher’s exact test. p values of less than 0.05 were considered statistically significant. …”
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The strong coupling constants of doubly heavy baryons with heavy mesons by Xiao-Hui Hu, Quan-Yu Zhou, Ye Xing, Yu-Ji Shi

“…Numerical predictions for these strong couplings are provided, along with an error analysis. Our theoretical findings can be employed to examine the strong and weak decay dynamics of doubly heavy baryons. …”
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Parallel VMamba and Attention-Based Pneumonia Severity Prediction from CXRs: A Robust Model with Segmented Lung Replacement Augmentation by Bouthaina Slika, Fadi Dornaika, Karim Hammoudi

“…Integrated in a parallel multi-image regions approach, VMamba effectively captures global and local contextual features through structured state-space modeling, improving feature representation and robustness in medical image analysis. Additionally, we integrate a segmented lung replacement augmentation strategy to enhance data diversity and improve model generalization. …”
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High-resolution GNSS troposphere tomography through explainable deep learning-based downscaling framework by Saeid Haji-Aghajany, Saeed Izanlou, Melika Tasan, Witold Rohm, Maciej Kryza

“…SRGAN consistently outperforms the Lanczos3 interpolation method, reducing the Root Mean Square Error (RMSE) by up to 62% in Poland and 52% in California compared to the original tomography data. …”
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Prediction Model of Household Carbon Emission in Old Residential Areas in Drought and Cold Regions Based on Gene Expression Programming by Shiao Chen, Yaohui Gao, Zhaonian Dai, Wen Ren

“…., electricity usage and heating energy consumption) were selected using Pearson correlation analysis and the Random Forest (RF) algorithm. Subsequently, a hybrid prediction model was constructed, with its parameters optimized by minimizing the root mean square error (RMSE) as the fitness function. …”
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Physics-integrated neural networks for improved mineral volumes and porosity estimation from geophysical well logs by Prasad Pothana, Kegang Ling

“…Current techniques, such as multimineral petrophysical analysis, offer details into mineralogical distribution. …”
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Development of a Calibration Procedure of the Additive Masked Stereolithography Method for Improving the Accuracy of Model Manufacturing by Paweł Turek, Anna Bazan, Paweł Kubik, Michał Chlost

“…The proposed approach is based on procedures that enable the collection and analysis of numerical data, thereby minimizing the influence of the operator’s subjective judgment, which is commonly relied upon in traditional calibration methods. …”
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Clinical, radiologic, and morphological diagnosis of hypersensitivity pneumonitis by A. L. Cherniaev, E. V. Kusraeva, M. V. Samsonova, S. N. Avdeev, N. V. Trushenko, E. L. Tumanova

“…We found that the clinical error rate in the diagnosis of HP was 84.5%, among pathologists – 92%. …”
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EEG-based brain age prediction in infants–toddlers: Implications for early detection of neurodevelopmental disorders by Winko W. An, Aprotim C. Bhowmik, Charles A. Nelson, Carol L. Wilkinson

“…The multilayer perceptron model demonstrated the highest accuracy with an R2 of 0.83 and a mean absolute error of 91.7 days. Feature importance analysis that combined hierarchical clustering and Shapley values identified two feature clusters describing periodic alpha and low beta activity as key predictors of age. …”
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