Optimization of Composite Sandwich Structures: A Review by Muhammad Ali Sadiq, György Kovács

“…Various optimization procedures, single- and multi-objective algorithms, Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), and Machine Learning (ML)-based optimization frameworks, as well as Finite Element (FE)-based numerical simulations, are discussed in detail. …”
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Counselor type (Human/AI) and consultation intention: a moderated mediation model of trust and psychological counseling scenarios by Wei-zhong Zhang, Rong Lian

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Machine Learning in Cyber-Physical Systems and Manufacturing Singularity – it Does Not Mean Total Automation, Human Is Still in the Centre: Part I – Manufacturing Singularity and a... by Goran D. PUTNIK, Vaibhav SHAH, Zlata PUTNIK, Luis FERREIRA

“…The hypothesis presented in this paper is that there is a limit of AI/ML autonomy capacity, and more concretely, that the ML algorithms will be not able to became totally autonomous and, consequently, that the human role will be indispensable. …”
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DeepBase: A Deep Learning-based Daily Baseflow Dataset across the United States by Parnian Ghaneei, Hamid Moradkhani

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MVTC-Sec: Lightweight Timestamp Correlation for Securing RPL Against DIO Replay Attacks by Tahar Guerbouz, Akram Zine Eddine Boukhamla, Djalila Belkebir, Sahraoui Dhelim

“…Of all the protocols for such networks, the Routing Protocol for Low-Power and Lossy Networks (RPL) plays a central role in enabling effective routing in 6LoWPAN-based IoT systems. …”
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Numerical Simulation of Freckle Defects in Nickel based Superalloys by LIU Dong rong, REN Ying, GUO Er jun

“…In order to deeply understand the formation characteristics of freckle defects in the process of directional solidification of nickelbased superalloy, three major equations of fluid mechanics were used to simulate the formation of freckles during the directional solidification of CMSX2 superalloy based on the SIMPLE (SemiImplicit Method for Pressure Linked Equations) algorithm The simulations in the reference were used to validate the model The effects of geometric shape and alloy composition on the flow field, solid fraction field and solute segregation distribution during solidification of the casting were investigated The simulations show that freckles are easily formed in the casting with shrinkage section The Al element in the alloy composition promotes the formation of freckles, while the Ta element plays a very good role in suppressing the formation of freckles…”
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Machine Learning-Driven Prediction of One-Year Readmission in HFrEF Patients: The Key Role of Inflammation by Ma F, Hu Y, Han P, Qiu Y, Liu Y, Ren J

“…In addition, MLR and PLR also played an important role in prediction, once again confirming the important predictive role of MLR and PLR as inflammatory indicators for readmission within one year in HFrEF patients.Conclusion: The ML-based RF model effectively predicted one-year readmission in HFrEF patients, with inflammation indicators playing an important role. …”
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Interpretable Reinforcement Learning for Sequential Strategy Prediction in Language-Based Games by Jun Zhao, Jintian Ji, Robail Yasrab, Shuxin Wang, Liang Yu, Lingzhen Zhao

“…To address these challenges, this study proposes an interpretable reinforcement learning framework based on an Enhanced Deep Deterministic Policy Gradient (Enhanced-DDPG) algorithm. …”
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The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance by Taifei Zhao, Hua Wang, Qianwen Ma

“…It could be used as an air base station and provide fast communication services for the ground users. …”
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Detective Gadget: Generic Iterative Entity Resolution over Dirty Data by Marcello Buoncristiano, Giansalvatore Mecca, Donatello Santoro, Enzo Veltri

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Reliability-Based Opportunistic Maintenance Modeling for Multi-Component Systems with Economic Dependence under Base Warranty by Rongcai Wang, Zhonghua Cheng, Enzhi Dong, Chiming Guo, Liqing Rong

“…Maintenance usually plays a key role in controlling a multi-component production system within normal operations. …”
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The role of interaction between social organizations and specialized medical centers in the treatment of children with inborn cleft lip and palate by A. A. Mamedov, O. V. Nelyubina, M. A. Abiev

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Development of a graphical user interface for visualizing solid-state crystal parameters from XRD data and the Cramer-Cohen algorithm for sustainable material management by Maulana Ardi, Irzaman, Wahjuni Sri, Priandana Karlisa

“…This study introduces a Python-based GUI tool that streamlines lattice parameter calculations by integrating the Cramer-Cohen algorithm, which applies Bragg’s law and crystallographic geometry to transform complex analyses into an efficient workflow. …”
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Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China by Hungil Jin, Yinghui Zhao, Unil Pak, Zhen Zhen, Kumryong So

“…The results revealed that the ensemble learning algorithms that combine heterogenous-based models (i.e. …”
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Maximizing the Total Profit of Combined Systems with a Pumped Storage Hydropower Plant and Renewable Energy Sources Using a Modified Slime Mould Algorithm by Le Chi Kien, Ly Huu Pham, Minh Phuc Duong, Tan Minh Phan

“…A modified slime mould algorithm (MSMA) is applied to System 2 after proving its outstanding performance compared to the jellyfish search algorithm (JS), equilibrium optimizer (EO), and slime mould algorithm (SMA) in System 1.…”
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The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce by Noha Hassan, Mohamed Abdelraouf, Dina El-Shihy

“…These results highlight the pivotal role of personalized recommendations in shaping consumer trust and satisfaction in AI-driven e-commerce. …”
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The role of adherent-to-suspension transition factors in clear cell renal cell carcinoma progression: a comprehensive analysis by Chenglong Xu, Haotian Wei, Yue Wang, Xiaocheng Ma, Qi Li, Yingjie Bi, Zifei Li, Zhaochen Li, Shimiao Zhu, Jing Tian, Changyi Quan, Shiyong Qi

“…The risk stratification method and the prognostic model based on AST factors were established with consensus clustering analysis and LASSO regression algorithm. …”
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ROLE OF COMPUTED TOMOGRAPHY WITH PNEUMOGASTROGRAPHY IN DETERMINING THE REGRESSION GRADE OF LOCALLY ADVANCED GASTRIC CANCER AFTER NEOADJUVANT CHEMOTHERAPY by I. D. Amelina, A. M. Karachun, D. V. Nesterov, L. N. Shevkunov, A. S. Artemieva, S. S. Bagnenko, S. L. Trofimov

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Production machines maintenance based on digitalization by A. K. Tugengold, R. N. Voloshin, A. R. Yusupov, T. N. Kruglova

“…An optional version of monitoring the equipment state within the framework of the production digitalization concept is shown. It is based on the proposed algorithm for an autonomous control of the process state.Discussion and Conclusions. …”
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The joint role of the immune microenvironment and N7-methylguanosine for prognosis prediction and targeted therapy in acute myeloid leukemia by Zhixiang Chen, Zhixiang Chen, Zhimei Chen, Xiaobo Huang, Xiaobo Huang, Xiaobo Huang, Xiongbin Yan, Xiongbin Yan, Xiaolin Lai, Xiaolin Lai, Shaoyuan Wang, Shaoyuan Wang

“…This study aims to establish an IME-related and m7G-related prognostic model for improved risk stratification and personalized treatment in AML.MethodsImmune score for the Cancer Genome Atlas acute myeloid leukemia (AML) patients were calculated using the ESTIMATE algorithm, followed by identification of immune score-associated differentially expressed genes Non-negative matrix factorization (NMF) clustering was performed to stratify AML subtypes based on immune microenvironment (immune microenvironment)-related DEGs and 29 m7G regulatory genes. …”
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