Segmentation of speech on phonetic elements for systems of speech information protection by Y. N. Seitkulov, S. N. Boranbayev, A. V. Patapovich, H. V. Davydau

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Synergistic Effects of Energy Storage Systems and Demand-Side Management in Optimizing Zero-Carbon Smart Grid Systems by Zeyad A. Almutairi, Ali M. Eltamaly

“…An advanced optimization algorithm enhances grid stability and efficiency. Simulations demonstrate significant reductions in carbon footprint, peak power demand, and reliance on fossil fuels. …”
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Fine monitoring method for mangrove wetland ecosystem based on sentinel data fusion and RF optimization by Shuwen Wang, Taisi Chen, Zimin Li, Haitao Sang

“…This novel model integrates advanced satellite data processing (Sentinel series) with machine learning (Random Forest algorithm) to achieve fine-grained image segmentation and 3D feature classification for mangrove ecosystems. …”
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MAD-RAPPEL: Mobility Aware Data Replacement And Prefetching Policy Enrooted LBS by Ajay K. Gupta, Udai Shanker

“…The cache replacement and invalidation module uses the next location prediction algorithm by the application of the mobility Markov model on mobile user’s trajectories. …”
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Digitally twin driven ship cooling pump fault monitoring system and application case by Shaojuan Su, Zhe Miao, Yong Zhao, Nanzhe Song

“…Using the random forest algorithm for data training and testing, the results showed that the root mean square error for the training set was 0.0037873, and for the test set, it was 0.008929, indicating high accuracy in predicting the status of cooling pumps. …”
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Finite Element Modeling of the behavior of Hybrid-Fiber Reinforced Concrete under Triaxial Compression by Ali Naserifar

“…However, the behavior of fiber reinforced concrete has been studied frequently but a numerical model that can predict the behavior of fiber reinforced concrete well is under research. …”
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Fault Diagnosis Research on Bearingof Motor Based on LMD And Support Vector Machine by YIN Zhao-jie, XU Tong-le, ZHENG Dian-kun

“…Firstly，the local mean decomposition ( LMD) algorithm is used to adaptively decompose the signal to get a series of PF components ，and the correlation analysis is used to eliminate false components. …”
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XFEM for Fracture Analysis of Centrally Cracked Laminated Plates Subjected to Biaxial Loads by Shailesh Palekar, Achchhe Lal

“…The effect of loadings on the crack growth and crack propagation direction and their effects on the MSIFs using global tracking crack growth algorithm is also presented. The results of the present investigation will be useful for accurate prediction of fracture response of cracked composite structures, crack growth and crack propagation behavior which ultimately effects on the structural safety and integrity of the composite structures.…”
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Fracture toughness of rough and frictional cracks emanating from a re-entrant corner by Andrea Carpinteri, Andrea Spagnoli, Michele Terzano, Sabrina Vantadori

“…In mixed-mode conditions, the competing contribution of the different stress intensity factors predicts fracture initiation load as well as crack propagation direction. …”
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Multi-field coupling model and evolution mechanism of thermal cracking in early-age mass concrete based on phase-field method by Wenqiang Xu, Sheng Qiang, Hui Wang, Ziang Zhao

“…The model is solved using an incremental iterative algorithm, and its accuracy is validated through classical benchmark cases. …”
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Urban Triatomines in Central México: Linking Ecological Niche Models with New <i>Triatoma barberi</i> (Reduviidae:Triatominae) Records by Salvador Zamora-Ledesma, Norma Hernández-Camacho, Jesús Luna-Cozar, Robert W. Jones, María Elena Villagrán-Herrera, Brenda Camacho-Macías

“…The MaxEnt algorithm was used to generate the model, which was validated through AUC and TSS metrics. …”
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Stellar Streams Reveal the Mass Loss of Globular Clusters by Yingtian Chen, Hui Li, Oleg Y. Gnedin

“…In this work, we employ a novel particle spray algorithm that can accurately reproduce the morphology of streams of various orbital types, enabling us to uncover the relationship between the GC mass-loss history and stream density profiles. …”
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Short-Term Photovoltaic Power Generation Combination Forecasting Method Based on Similar Day and Cross Entropy Theory by Qi Wang, Shunxiang Ji, Minqiang Hu, Wei Li, Fusuo Liu, Ling Zhu

“…The results show that this method can effectively improve the prediction accuracy of PV power and is of great significance to real-time economical dispatch.…”
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Robust Smooth Sliding-Mode-Based Controller with Fixed-Time Convergence for Missiles considering Aerodynamic Uncertainty by Yuhang Yun, Jie Guo, Shengjing Tang

“…A cascade control structure is employed with the derived control algorithm, and therein, the control input signal is obtained. …”
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Design of an Intelligent Energy Management Prototype for an Electric Lighting Network on a Raspberry Pi Board by Jouahri Mohammed Amine, Moukhtari Manal, Oulhaj Nabil, Khimouj Mounir, Tajer Abdelouahed, Boulghasoul Zakaria

“…Traffic density is assessed in real time by an image processing system using the YOLOv8 algorithm, which identifies and counts vehicles captured by the cameras. …”
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Computationally Effective Modeling of Cold Rolling: Application to Al Alloys by János György Bátorfi, Jurij J. Sidor

“…The distortion of meshes predicted by both FEM and FLM follow the same evolutionary pattern.…”
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Fault Diagnosis of Industrial Process Based on FDKICA-PCA by ZHANG Jing, ZHU Fei-fei, LIU Jia-xing, WANG Jiang-tao

“…Because the dynamic characteristics of autocorrelation and lag correlation in production process are neglected in fault diagnosis,Kernel Independent Component AnalysisPrincipal Component Analysis (KICAPCA) is very poor in detecting small and gradual faults because of lacking available variable contribution analysis.In this paper, a dynamic kernel independent component analysis (KICAPCA) fault diagnosis method based on wavelet packet filtering is proposed.This method integrates wavelet packet filtering theory and AR model prediction data characteristics into KICAPCA to extract the feature information of process variable autocorrelation and lagrelated .In this paper, KICAPCA algorithm is used to extract the independent components and principal components of process variables to determine the control limits of three monitoring indicators T2, SPE,I2.Nonlinear contribution graph is used for fault diagnosis, and the advantage of FDKICAPCA method is verified by simulation results of Tennessee process.…”
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Automatic location of surface-monitored microseismicity with deep learning by Zhaolong Gan, Xiao Tian, Xiong Zhang, Mengxue Dai

“…In this study, we propose an approach to locate microseismic events using a deep learning algorithm with surface data. A fully convolutional network is designed to predict source locations. …”
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Machine tool FEM model correction assisted by dynamic evolution sequence by Weihao Lin, Peng Zhong, Xindi Wei, Li Zhu, Xuanlong Wu

“…Moreover, replacing the random sequence with a dynamic evolution sequence enhances the search space coverage of the heterogeneous comprehensive learning particle swarm optimization (HCLPSO) algorithm. The results of numerical examples demonstrate that the finite element model, corrected using the proposed method, accurately predicts the true displacement responses of the machine tool. …”
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On Evaluation and Comparison of Blast Loading Methods Used In Numerical Simulations by Vahdet Uçar, Atıl Erdik

“…Mesh resolution study of ALE formulation is conducted todetermine the influence of element mesh size on predicting blast loadingeffects that is converted through fluid structure interaction algorithm fromEulerian to Lagrangian type of elements. …”
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