Machine learning enabled assessment of the vacuum freeze-drying of the kiwifruit by Uzair Sajjad, Farzana Bibi, Imtiyaz Hussain, Naseem Abbas, Muhammad Sultan, Hafiz Muhammad Asfahan, Muhammad Aleem, Wei-Mon Yan

“…The performance of the VFD system is sensitive to the operating conditions and features of the drying product which is assessed using experimental and/or numerical methods. …”
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RAMAS-Net: a module-optimized convolutional network model for aortic valve stenosis recognition in echocardiography by Yejia Gan, Wanzhong Huang, Yan Deng, Xiaoying Xie, Yuanyuan Gu, Yaozhuang Zhou, Qian Zhang, Maosheng Zhang, Yangchun Liu

“…The model enhanced the ResNet50 backbone by replacing Stage 4 with Spatial and Channel Reconstruction Convolution (SCConv) and Multi-Dconv Head Transposed Attention (MDTA) modules, aiming to reduce redundant computations and improve feature extraction capabilities.ResultsThe proposed method was evaluated on the TMED-2 echocardiography dataset, achieving an accuracy of 94.67%, an F1-score of 94.37%, and an AUC of 0.95 for AS identification. …”
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Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data by Shihua Li, Shunda Zhao, Zhilin Tian, Hao Tang, Zhonghua Su

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Evaluation of the pharmacological potential of N-((5-phenyl-6,11-dihydro-[1,2,4]triazolo[1’,5’:1,6]pyrido[3,4-b]indol-2-yl)methyl)benzamides by S. O. Fedotov

“…The combination of 1,2,4-triazole and indole fragments within a single molecule promotes the creation of conjugated systems with potentially multifunctional activity, thereby expanding the opportunities for the discovery of new therapeutic agents. Early-stage computer-based prediction of toxicological and pharmacokinetic properties remains a key strategy for optimizing the screening process. …”
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Time-adaptive phase estimation by Brennan de Neeve, Andrey V. Lebedev, Vlad Negnevitsky, Jonathan P. Home

“…Phase estimation is known to be a robust method for single-qubit gate calibration in quantum computers, while Bayesian estimation is widely used in devising optimal methods for learning in quantum systems. …”
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Analytical and Dynamical Study of Solitary Waves in a Fractional Magneto-Electro-Elastic System by Sait San, Beenish, Fehaid Salem Alshammari

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Study of diffuse scattering on facial surface using ray tracing approach by Po-Yen Lai, Ray Jia Hong Ng, Tatsuya Omotezako, Huizhe Liu, Wenjun Ding, Lim Jiun Yeu, Akira Matsubara

“…Our validated 2D subvisible micro texture model accurately computes the light-skin interactions influenced by the various levels of the skin’s topographic features, offering valuable insights for cosmetics, dermatology, and aesthetic medical imaging.…”
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Seismic Shear Strength Prediction of Reinforced Concrete Shear Walls by Stacking Multiple Machine Learning Models by Siming Tian, Xiangyong Ni, Yang Wang

“…Reinforced concrete shear walls (RCSWs) are complicated to compute their shear capacity due to their large cross-sectional height-to-thickness ratios and the fact that they are subjected to vertical loads. …”
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Socialization' phenomenas of modern adolescents: Pro et contra by E.N. Volkova

“…</strong>Digital socialization is associated with a number of new phenomena &ndash; computer games, cyberbullying, hacking, Net-friendship, phubbing, digital self-harm. …”
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Investigating Silicate, Carbon, and Water in the Diffuse Interstellar Medium: The First Shots from WISCI by S. T. Zeegers, Jonathan P. Marshall, Karl D. Gordon, Karl A. Misselt, G. P. P. L. Otten, Jeroen Bouwman, Jean Chiar, Marjorie Decleir, Thavisha Dharmawardena, F. Kemper, Aigen Li, Mayank Narang, Alexey Potapov, Manoj Puravankara, Peter Scicluna, Himanshu Tyagi, Eleonora Zari, ChuanYu Wei, Lex Kaper, Frank Backs, Stefan T. Bromley, Laurie Chu, Elisa Costantini, T. R. Geballe, Joel D. Green, Chamani Gunasekera, Burcu Günay, Thomas Henning, Olivia Jones, Joan Mariñoso Guiu, Melissa McClure, Yvonne J. Pendleton, Julia C. Roman-Duval, Tomer Shenar, Alexander G. G. M. Tielens, L. B. F. M. Waters

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Comparison of elastic properties of periodic and aperiodic porous structures produced by additive methods by Radosław Grabiec, Jacek Tarasiuk, Sebasatian Wroński, Gianpaolo Pillon

“… The aim of this work was to design, print, and examine elastic properties of porous structures with various parameters and beam distributions. These structures, generated using an algorithm, featured three types of lattices: octet, cubic, and Voronoi diagram-based, with different porosities (40 %, 60 %, 80 %) and beam sizes (0.45 mm, 0.66 mm). …”
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Post-Quantum Digital Signature: Verkle-Based HORST by Maksim Iavich, Tamari Kuchukhidze, Razvan Bocu

“…We offer comprehensive implementation instructions and parameter choices to promote uptake while preserving hash-based cryptography’s quantum-resistant security features. …”
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Spurious-Free Dynamic Range Augmentation for Digital-to-Analog Converters using PSO-PID Adaptive Algorithms by Junshi Lv, Chengting Zhang, Honglv Wang, Gaoming Xu, Taijun Liu

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Modeling of lifetime scenarios with non-monotonic failure rates. by Amani Abdullah Alahmadi, Olayan Albalawi, Rana H Khashab, Arne Johannssen, Suleman Nasiru, Sanaa Mohammed Almarzouki, Mohammed Elgarhy

“…Various measures of uncertainty for the MKWD such as Rényi entropy, exponential entropy, Havrda and Charvat entropy, Arimoto entropy, Tsallis entropy, extropy, weighted extropy and residual extropy are computed. We discuss eight different parameter estimation methods and conduct a Monte Carlo simulation study to evaluate the performance of these different estimators. …”
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Q-learning with temporal memory to navigate turbulence by Marco Rando, Martin James, Alessandro Verri, Lorenzo Rosasco, Agnese Seminara

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Curvature estimation for point cloud 2-manifolds based on the heat kernel by Kai Wang, Xiheng Wang, Xiaoping Wang

“…As an exemplary application, we utilized the mean curvature for detecting features of point clouds.…”
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Selecting of statins optimum dosage regimen in patients with acute Q-wave myocardial infarction after thrombolytic therapy by V. D. Syvolap, S. M. Kyselov, A. A. Alferov

“…Statistical analysis of the results was performed on a personal computer using the licensed program "Statistica" (version 6.0, Stat Soft Inc, USA). …”
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Empirical Approximation for the Stochastic Fundamental Diagram of Traffic Flow on Signalized Intersection by Nan Zhang, Xiaoguang Yang, Wangjing Ma

“…Then, variational Bayesian learning method is adopted to compute the distributions of SFD parameter to approximate the experimental distributions of shockwave calculated by the observed flow-density data. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

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Fuzzy Clustering Approaches Based on Numerical Optimizations of Modified Objective Functions by Erind Bedalli, Shkelqim Hajrulla, Rexhep Rada, Robert Kosova

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