SERLogic: A Logic-Integrated Framework for Enhancing Sequential Recommendations by Lihang Fan

“…s}$ </tex-math></inline-formula>; 3) parallel algorithm that applies the discovered <inline-formula> <tex-math notation="LaTeX">$\mathsf {TIE^{+}\!…”
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From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation by Seok Joo Chae, Seolah Shin, Kangmin Lee, Seunggyu Lee, Jae Kyoung Kim

“…However, this algorithm typically assumes that DNA is homogeneously distributed throughout the nucleus, which is not realistic. …”
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Vocal biomarkers correlate with FEV1 variations during methacholine challenge by Giovanni Paoletti, Giovanni Costanzo, Morena Merigo, Francesca Puggioni, Sebastian Ferri, Maria Rita Messina, Fulvio Cordella, Giuseppe Ranieri, Arianna Arienzo, Victor Savevski, Giorgio Walter Canonica, Ayana deBrito Martins, Enrico Heffler

“…Conclusion The app’s algorithm is sensitive in correlating specific vocal biomarkers to FEV1 variations during MCT. …”
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SmartExplorer1.0: A Novel Intelligent Framework for Path Planning in Robotics by Chiara Furio, Angelo Ugenti, Giulio Reina, Mario Massimo Foglia, Luciano Lamberti

“…The SmartExplorer1.0 algorithm (SE1.0) utilizes Digital Terrain Models (DTMs) as input to identify navigable areas and plan optimal routes by incorporating terrain gradients, obstacle types, and environmental conditions. …”
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Pre-disaster evacuation transport network design under uncertain demand and connectivity reliability: a novel bi-level programming model by Junxiang Xu, Divya Jayakumar Nair, S. Travis Waller

“…For the solution of this model, an Improved Genetic Algorithm combined with Non-dominated Sorting Genetic Algorithm II(IGA-NSGA-II) is designed. …”
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Enhancing water saturation predictions from conventional well logs in a carbonate gas reservoir with a hybrid CNN-LSTM model by Ali Gohari Nezhad, Mohammad Emami Niri

“…The study intends to enrich the literature by employing a hybrid machine learning algorithm compared to earlier studies and surpassing traditional protocols by comparing algorithms in a blind well to offer a reliable validation mechanism. …”
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Optimization of surgical treatment of abdominal hernias in patients with obesity by V. I. Belokonev, V. P. Zakharov, D. B. Grachev, S. Y. Pushkin, Z. V. Kovaleva, D. S. Pushkina

“…Indications for panniculus removal were based on the proposed mathematical algorithm, which took into account the size, clinical manifestations, associated complications, and possible consequences after surgeries while preserving it.Results. …”
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Evaluating trauma care, outcomes and costs in a system in crisis: the necessity of a Greek National Trauma Database by Apostolos Prionas, George Tsoulfas, Andreas Tooulias, Apostolos Papakoulas, Athanasios Piachas, Vasileios Papadopoulos

“…Patients who did not meet the US trauma triage algorithm criteria accounted for 10.5% of total expenses.Discussion Our results suggest that RTCs pose a significant financial burden. …”
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Detecting severe coronary artery stenosis in T2DM patients with NAFLD using cardiac fat radiomics-based machine learning by Mengjie Liang, Liting Fang, Xie Chen, Wendi Huang

“…The clinical model obtained an area under the curve (AUC) of 0.747 with the support vector machine (SVM), while the radiomics model reached an AUC of 0.838 with the extreme gradient boosting (XGBoost) algorithm. …”
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Identification of Outer Galaxy Cluster Members Using Gaia DR3 and Multidimensional Simulation by Vishwas Patel, Joseph L. Hora, Matthew L. N. Ashby, Sarita Vig

“…A Monte Carlo simulation coupled with the HDBSCAN ^* (HDBSCAN-MC algorithm) addresses YSO astrometric uncertainties through 5D clustering. …”
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Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading by Ibrahim A. Elgendy, Ammar Muthanna, Abdullah Alshahrani, Dina S. M. Hassan, Reem Alkanhel, Mohamed Elkawkagy

“…A novel load-balancing algorithm is proposed to effectively redistribute vehicles among RSUs, considering factors such as RSUs load, computational capacity, and data rate. …”
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HECM-Plus: Hyper-Entropy Enhanced Cloud Models for Uncertainty-Aware Design Evaluation in Multi-Expert Decision Systems by Jiaozi Pu, Zongxin Liu

“…To address this gap, we propose HECM-Plus, an algorithm integrating Expectation (<i>Ex</i>), <i>En</i>, and <i>He</i> to holistically model geometric and probabilistic uncertainties in cloud models. …”
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Dynamic Bayesian network modeling for longitudinal data on child undernutrition in Ethiopia (2002–2016) by Getnet Bogale Begashaw, Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta

“…We used a built-in Bayes server tool to identify potential features, followed by building the structure of the directed acyclic graph using a structural learning algorithm. The maximum posterior is determined using the relevance tree algorithm. …”
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Application of Multi-Inflammatory Index to Predict Atrial Fibrillation Risk in Patients with Coronary Heart Disease: A Retrospective Machine Learning Study by Hou L, Su K, Zhao J, He T, Li Y

“…In the training set, LightGBM achieved an AUC of 0.958, accuracy of 0.851, and sensitivity of 0.943, while in the testing set, it achieved an AUC of 0.757 and accuracy of 0.821. …”
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Optimization and Estimation of the State of Charge of Lithium-Ion Batteries for Electric Vehicles by Luc Vivien Assiene Mouodo, Petros J. Axaopoulos

“…Because of the work’s novelty, the methodological approach combines the extended Kalman filter algorithm (EKF) with the noise matrix, which is updated in this case through an iterative process. …”
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VIS/NIR Spectroscopy as a Non-Destructive Method for Evaluation of Quality Parameters of Three Bell Pepper Varieties Based on Soft Computing Methods by Meysam Latifi Amoghin, Yousef Abbaspour-Gilandeh, Mohammad Tahmasebi, Mohammad Kaveh, Hany S. El-Mesery, Mariusz Szymanek, Maciej Sprawka

“…To optimize wavelength selection, support vector machines (SVMs) were combined with genetic algorithms (GAs), particle swarm optimization (PSO), ant colony optimization (ACO), and imperial competitive algorithm (ICA). …”
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An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification by Santosh Kumar Chhotray, Debahuti Mishra, Sarada Prasanna Pati, Sashikala Mishra

“…The bald eagle optimization (BEO) algorithm is used to optimize the hyperparameters while balancing exploration and exploitation. …”
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Сombat wounds microflora in modern warfare by V. P. Kovalchuk, N. S. Fomina, V. M. Kondratiuk, О. О. Fomin, Y. V. Lazarenko, K. V. Gumenyuk

“…To determine antibiotic resistance determinants and phylogenetic relationships between strains, whole-genome sequencing (WGS) of the isolated cultures was carried out using next-generation sequencing (NGS) technology on the Applied Biosystems/Life Technologies SOLiD platform, followed by core genome multilocus sequence typing (cgMLST). …”
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Sampled-data control through model-free reinforcement learning with effective experience replay by Bo Xiao, H.K. Lam, Xiaojie Su, Ziwei Wang, Frank P.-W. Lo, Shihong Chen, Eric Yeatman

“…In the sampled-data control strategy, the whole control system is of a hybrid structure, in which the plant is of continuous structure while the controller (RL agent) adopts a discrete structure. …”
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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…To complement the random field modeling, an enhanced PSO algorithm is proposed for 3D slope stability analysis. …”
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