A Storm Frame Optimization Method for Predicting and Warning the Safety Status of a Shearer by Pei Zhang, Yanpeng He, Li Ma, Changkui Cong

“…The prediction accuracy, early warning accuracy, and processing efficiency of the Storm platform are used as evaluation indicators to analyze and evaluate the model, verifying the efficiency and applicability of the proposed model. …”
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Retrospective Analysis of the Impact of a Collaborative Multidisciplinary Care Model on the Efficiency of Emergency Care and Neurological Function and Prognosis of Comatose Patient... by Yanbin Li, Fang Wang

“…Results The success rate of first aid in the control group and the study group was 91.13% and 94.34%, respectively, which was significantly lower than that of the control group (p < 0.05); the time for intravenous medication and the total time for first aid in the study group were significantly lower than that of the control group (p < 0.001). …”
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Uncertainty prediction of wind speed based on improved multi-strategy hybrid models by Xinyi Xu, Shaojuan Ma, Cheng Huang

“…First, NOA was used to optimize the wavelet transform (WT) and BiTCN-BiGRU. …”
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Mathematical modeling of heat and mass transfer processes in a reciprocating engine of a vehicle with a hybrid powertrain by Fedіr Abramchuk, Vitaliy Krivda, Olha Sakno, Valentyna Olishevska, Kostyantyn Kornilenko, Olena Sakno

“…The third scenario considers a decrease in ambient temperature. This study modeled the dependence of engine wall temperatures over time for these three operating conditions, enabling control of thermal modes and prediction of ICE performance to enhance the efficiency of the vehicle's hybrid power unit. …”
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Data-Augmented Deep Learning Models for Assessing Thermal Performance in Sustainable Building Materials by Ana Carolina Rosa, Carles Mateu, Assed Haddad, Dieter Boer

“…Energy efficiency in buildings drives the development of sustainable materials, with Phase Change Materials standing out for their contribution to the construction sector. …”
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Complex Synchronization Dynamics of Electronic Oscillators&#x2013;Part I: A Time-Domain Approach via Phase-Amplitude Reduced Models by Konstantinos Metaxas, Paul P. Sotiriadis, Yannis Kominis

“…This work introduces a rigorous time-domain approach for studying the complex synchronization dynamics of periodically forced electronic oscillators, based on the well-developed theories of Phase-Amplitude reduction via the Koopman operator and dynamics of circle maps. …”
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A Hybrid Vector Autoregressive Model for Accurate Macroeconomic Forecasting: An Application to the U.S. Economy by Faridoon Khan, Hasnain Iftikhar, Imran Khan, Paulo Canas Rodrigues, Abdulmajeed Atiah Alharbi, Jeza Allohibi

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Base mathematical models of process of transmission of mechanical energy during drilling of exploraty and geotechnological wells by V. V. Kulikov, M. S. Frolova

“…The base proportional mathematical model of transmission of mechanical energy is characterized by the followings properties: the values of the coefficient of efficiency of the parts of transmission of energy ratios stay unchanging; general coefficient of efficiency of all areas remains unchanging; at the different areas of transmission of energy the spent power changes in different number of times; the areas of transmission of energy mutually influence on each other; the maximum degree of influence is possessed by the last area, the least one is in the first area.…”
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A multi-objective fuzzy optimization model for multi-type aircraft flight scheduling problem by Ming Wei, Shangwen Yang, Wei Wu, Bo Sun

“…The proposed model features each flight trip with its own special aircraft type and fuzzy flight time. …”
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Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

“…Aiming at the problems of nonlinearity, high dynamics, and low prediction accuracy of surrounding rock deformation, this article proposes a time series prediction method based on the sparrow search algorithm (SSA)-variational mode decomposition (VMD)-gated recurrent unit (GRU) deep learning model. …”
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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

“…This model formulates wind as a discrete variable, forming the foundation of the proposed time-variant predicted method that can calculate the segment flight time accurately. …”
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Examining the Efficiency of Automation in Container Terminals by Yaser Jobran, Gökhan Kara

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Efficiency multi-agent model assisted Moea/D algorithm for optimization design for building taking into account annual energy consumption and annual user discomfort hours by Hua Deng, Kai Zhou

“…In response to the high computational cost, slow convergence speed, and low accuracy of existing optimization design methods for building energy efficiency, this study first built a multi-objective optimization model for building energy efficiency on the ground of the annual energy consumption of buildings and the quantity of uncomfortable hours for users. …”
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Adsorptive removal of organics and nutrients from septic tank effluent using oak wood chip biochar: Kinetic analysis and numerical modeling by Chimdi Muoghalu, Herbert Cirrus Kaboggoza, Swaib Semiyaga, Musa Manga

“…Adsorption followed a pseudo-first-order model highlighting the role of physisorption in eliminating NO3-N and COD. …”
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Advancing blood cell detection and classification: performance evaluation of modern deep learning models by Shilpa Choudhary, Sandeep Kumar, Pammi Sri Siddhaarth, Guntu Charitasri, Monali Gulhane, Nitin Rakesh, Feslin Anish Mon, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…In terms of real-time performance, YOLOv10 outperforms other object detection models with better detection rates and classification accuracy. …”
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Real-time anti-sleep alert algorithm to prevent road accidents to ensure road safety by Abhishek Kumar Pathak, Ankit Kumar Singh, Pankaj Kumar, Vimal Bhatia, Vimal Bhatia, Vimal Bhatia, Ondrej Krejcar, Ondrej Krejcar

“…The proposed method outperforms the traditional approaches such as Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Haar Cascade Classifiers, and other DL architectures like Xception and VGG16, in terms of accuracy and efficiency. Among the tested models, InceptionV3 demonstrated superior performance, achieving an accuracy of 99.18%, a validation loss of 0.85%, and execution time of 0.2 s on Raspberry Pi platform. …”
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Understanding price momentum, market fluctuations, and crashes: insights from the extended Samuelson model by Qingyuan Han

“…This paradigm transition uncovers several significant findings. First, timely signals indicate momentum initiations, cessations, and reversals, validated using S&P 500 data from 1999 to 2023. …”
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First-Arrival Picking for Microseismic Monitoring Based on Deep Learning by Xiaolong Guo

“…In microseismic monitoring, achieving an accurate and efficient first-arrival picking is crucial for improving the accuracy and efficiency of microseismic time-difference source location. …”
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A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment by Jinyin Bai, Wei Zhu, Shuhong Liu, Chenhao Ye, Peng Zheng, Xiangchen Wang

“…It is designed to handle continuous processes but can also be applied to batch and hybrid processes due to its flexible architecture. First, preprocessed industrial operation data are fed into the model, and hyperparameter optimization is conducted using the Optuna framework to improve training efficiency and generalization capability. …”
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Development of ITER first wall heat load feedback control by Federico Pesamosca, Timo Ravensbergen, Richard A. Pitts, Domenico Frattolillo, Mattia Erroi, Quentin Deliege, Peter C. de Vries, Luca Zabeo, Luigi Pangione, Ivo S. Carvalho, Anna Vu

“…This control-oriented model simulates the thermal response of ITER FW to slow changes in plasma equilibrium and energy, which during ITER operation will be monitored by the real-time wide angle infrared camera system. …”
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