Adversarial Range Gate Pull-Off Jamming Against Tracking Radar by Yuanhang Wang, Yi Han, Yi Jiang

“…To tackle these challenges, this study formulates the optimization of the RGPO jamming strategy as an adversarial stochastic simulation optimization (ASSO) problem and introduces a novel solution for the white-box RGPO jamming strategy optimization: a local simulation-assisted particle swarm optimization algorithm with an equal resampling scheme (PSO-ER). …”
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Advanced Frequency Analysis of Signals with High-Frequency Resolution by Patrik Flegner, Ján Kačur, Milan Durdán, Marek Laciak, Rebecca Frančáková

“…As part of this scientific research, the issues of frequency zoom were thoroughly addressed, solving the partial problems of this algorithm, both in theory and in the context of signal theory.…”
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Increasing Systemic Resilience to Socioeconomic Challenges: Modeling the Dynamics of Liquidity Flows and Systemic Risks Using Navier–Stokes Equations by Davit Gondauri, Nino Chedia, Vakhtang Tsintsadze

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Development and validation of an interpretable machine learning model for retrospective identification of suspected infection for sepsis surveillance: a multicentre cohort studyRes... by Renée A.M. Tuinte, Luuk P.J. Smolenaers, Bram T. Knoop, Konstantin Föhse, Tamar J. van der Aart, Hjalmar R. Bouma, Mihai G. Netea, Katrijn Van Deun, Jaap ten Oever, Jacobien J. Hoogerwerf

“…Including the inflammatory response in the suspected infection surveillance definition may enhance the accuracy and objectivity of sepsis surveillance. Future research is needed to validate the algorithm using other organ dysfunction criteria and in international settings. …”
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Coordination in strictly metric-free swarms: evidence for the existence of biological diversity by Y. N. Jia, Y. Guo, W. L. Zhang

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A Decomposed-Ensemble Prediction Framework for Gate-In Operations at Container Terminals by Yifan Shen, Beng Xuan, Hongtao Hu, Yansong Wu, Ning Zhao, Zhen Yang

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Dynamic gold rush optimizer: fusing worker adaptation and salp navigation mechanism for enhanced search by Yanhua Zhang, Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ephraim Bonah Agyekum, Pankaj Kumar

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Hierarchical Structure of the Program Used by Filamentous Fungi to Navigate in Confining Microenvironments by Gala Montiel-Rubies, Marie Held, Kristi L. Hanson, Dan V. Nicolau, Radu C. Mocanasu, Falco C. M. J. M. van Delft, Dan V. Nicolau

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Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids by Muhammad Asif Zahoor Raja, Huma Tayyab, Aamna Muskan Malik, Qazi Mahmood Ul Hassan, Kottakkaran Sooppy Nisar, Muhammad Shoaib

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SCUC Considering Loads and Wind Power Forecasting Uncertainties using Binary Gray Wolf Optimization Method by Majid Moazzami, Sayed Jamal Al-Din Hosseini, Hossein Shahinzadeh, Gevork B. Gharehpetian, Jalal Moradi

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Learning-based early detection of post-hepatectomy liver failure using temporal perioperative data: a nationwide multicenter retrospective study in ChinaResearch in context by Kai Wang, Qian Yang, Kang Li, Shanhua Tang, Baoluhe Zhang, Xiangyun Liao, Shunda Du, Wenguang Fu, Zhiwei Li, Huanwei Chen, Haorong Xie, Pengxiang Huang, Jieyuan Li, Qiuting Wang, Haiqing Liu, Zhiwei Huang, Pheng Ann Heng, Xueshuai Wan, Chuanjiang Li, Weixin Si

“…Findings: Our model demonstrated high accuracy in detecting PHLF within the first 24 h after surgery, achieving an AUC of 0.952 in internal validation and 0.884 in external validation of the China cohort, outperforming other competing algorithms. In the MIMIC-IV cohort with challenging incomplete EHR data, our model had an AUC of 0.654, which was still superior to alternative algorithms, indicating generalization potential for the Western population. …”
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ANALYSIS OF SOME APPROACHES IN CURRENT PRACTICE OF TRANSPORT MODELLING by E. S. Temnov

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HP_FLAP: homomorphic and polymorphic federated learning aggregation of parameters framework by Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, Hussein Ibrahim, Ali Raad

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Time Series Forecasting Method Based on Multi-Scale Feature Fusion and Autoformer by Xiangkai Ma, Huaxiong Zhang

“…Combined with the TPE Bayesian optimization algorithm, the prediction error was further reduced, providing a reference for future research on time series forecasting methods.…”
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Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise Using Cellular Automaton Method by Yuri Matveev, Fares Abu-Abed, Leonid Chernishev, Sergey Zhironkin

“…It has been shown that the future development of the visualization of dangerous zones during fires is associated with the integration of the Bayesian approach and stochastic forecasting algorithms based on Markov chains into the simulation model of a dangerous zone for the efficient assessment of uncertainties associated with complex atmospheric processes.…”
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Integrated intelligent neuro-evolutionary computing approach to study SEIRC model representing campylobacteriosis transmission dynamics by Muhammad Shoaib, Saba Kainat, Areej Abdullah Alabduljabbar, Kottakkaran Sooppy Nisar, Muhammad Asif Zahoor Raja

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A Small-Sample Scenario Optimization Scheduling Method Based on Multidimensional Data Expansion by Yaoxian Liu, Kaixin Zhang, Yue Sun, Jingwen Chen, Junshuo Chen

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Geological modeling of carbonate fracture-cavity reservoir: case study of Shunbei fault zone No. 5 by Bolin Li, Yunfeng He, Wen Chen, Haojie Shang, Lixin Wang

“…The methodology innovatively integrates principal stress orientation trendline tracking algorithms with cumulative probability sampling techniques, achieving quantitative modeling of alternating grille structures composed of crush belt (breccia belt and fracture belt) and bedrock belt. …”
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Trajectory Planning Method in Time-Variant Wind Considering Heterogeneity of Segment Flight Time Distribution by Man Xu, Jian Wang, Qiuqi Wu

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Modeling and Performance Evaluation of Hybrid Classical–Quantum Serverless Computing Platforms by Claudio Cicconetti

“…While quantum computing technologies are evolving toward achieving full maturity, hybrid algorithms, such as variational quantum computing, are already emerging as valid candidates to solve practical problems in fields, such as chemistry and operations research. …”
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