Power-Yeoh: A Yeoh-Type Hyperelastic Model with Invariant I₂ for Rubber-like Materials by Subraya Krishna Bhat, Keerthan A.

“…A genetic algorithm-based least squares optimization routine is carried out to determine the material constants while applying the reported experimental data. …”
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Multi-fidelity modelling of a high bypass ratio turbofan engine with variable area nozzle by Andrea Magrini, Ernesto Benini

“…In this paper, we present a multi-fidelity modelling approach for an ultra-high bypass ratio turbofan engine with a VAN, combining a zero-dimensional thermodynamic cycle simulator using a realistic fan map with two- and three-dimensional detailed computational fluid dynamics (CFD) simulations for internal/external flow coupling. …”
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An Ensemble Learning Model for Short-Term Passenger Flow Prediction by Xiangping Wang, Lei Huang, Haifeng Huang, Baoyu Li, Ziyang Xia, Jing Li

“…The research results of this paper can enrich the short-term passenger flow forecasting system of urban public transportation and provide effective data support and scientific basis for the passenger flow, vehicle management, and dispatch of urban public transportation.…”
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Voltage and Frequency Regulation in Interconnected Power Systems via a (1+PDD²)-(1+TI) Cascade Controller Optimized by Mirage Search Optimizer by Kareem M. AboRas, Ali M. Elkassas, Ashraf Ibrahim Megahed, Hossam Kotb

“…The controller was tested under various challenging conditions: sudden load disturbances, stochastic variations, nonlinearities like Generation Rate Constraints (GRC) and Governor Dead Band (GDB), time-varying reference voltages, and ±20% to ±40% parameter deviations. …”
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Research on Prediction and Optimization of Airport Express Passenger Flow Based on Fusion Intelligence Network Model by Jin He, Yinzhen Li, Yuhong Chao

“…Firstly, by using the powerful feature extraction ability of convolutional neural networks, local features and detail information are captured from the input data to improve the data representation ability. …”
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Noise Reduction Methods in the Vehicle Industry: Using Vibroacoustic Simulation for Sustainability by Krisztián Horváth, Ambrus Zelei

“…This approach integrates the Finite Element Method and Multibody Dynamics simulations with vibroacoustics to identify and redesign noisy components even during the conceptual design stage. …”
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A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning by Kailai Li, Junyi Liang, Nan Li, Jianbo Fang, Xinyi Zhou, Jian Zhang, Anqi Lin, Peng Luo, Hui Meng

“…By evaluating 113 machine learning algorithm combinations, the glmBoost+NaiveBayes model was selected to construct the NPC-RSS based on 18 key genes, which demonstrated good predictive performance in both public and in-house datasets. …”
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Long-Tune Natural Logarithmic Wavelength Modulation Spectroscopy for Gas Sensing by Lijuan Lan, Changsheng Zhang, Yibo Wang, Yu Xie, Luheng Wang, Chunhua Yang

“…Even the mechanical vibrations cannot disturb the harmonics, which enables the proposed method to be suitable for gas detection in harsh environments, especially for heavy dust and severe mechanical vibrations. …”
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Utilization of second medical opinions as a function of the payment method by Liora Shmueli, Tuvia Horev

“…Methods Retrospective analysis of medical records data, including secondary care visits data from Clalit Health Services, Israel’s largest healthcare provider, and claims data from Clalit’s supplementary insurance. …”
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Fast evaluation on the fatigue level of copper contact wire based on laser induced breakdown spectroscopy and supervised machine learning for high speed railway by Wenfu Wei, Langyu Xia, Zefeng Yang, Huan Zhang, Like Pan, Jian Wu, Guangning Wu

“…This mechanical fatigue can lead to a decrease in the mechanical strength of the contact wire, and ultimately lead to problems such as wire detachment, fracture, or breakage, posing a serious safety hazard to the electrified railway system. …”
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A Novel Structural Vibration Sensing Approach Based on a Miniaturized Inertial Measurement Unit by Liyuan Yu, Zhilei Qiao, Shichao Xing, Yipeng Wu, Hongli Ji

“…This paper presents a miniaturized autonomous inertial sensor that can be easily attached to the controlled structure to acquire vibration data and wirelessly transmit the data. We also establish the relationship between cantilevered structural vibration and the inertial acceleration or angular velocity directly measured by the sensor. …”
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Methodical approaches to the economic assessment of costs in the operation of cars with axial load of 27 tons at the section Kachkanar—Smychka by G. A. Granovskaya, A. I. Safonova, O. A. Suslov, N. S. Okhotnikov

“…The article describes method of calculating the coefficient reflecting the change in the impact of cars with an axial load of 27 tons on the roadbed during transportation in estimated cars compared to transportation in equivalent cars. …”
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MOVEMENTS OF ANATOMICAL COMPLEX: CONDYLAR PROCESS, TEMPOROMANDIBULAR JOINT, TEMPORAL BONE by R.S. Palyvoda, A.S. Volovar, A.V. Malikov

“…Bone tissue has good quality. Discussion. Comparison of obtained data and information from literature review made differences in 2-4 mm only. …”
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Multi-objective trajectory planning for connected and autonomous vehicles in mixed traffic flow by Hui Li, Yunfei Ge, Yahui Guo, Yu Guan, Xu Zhang

“…Here, we design the state space, action space, and reward function, where the state space encompasses variables such as speed, relative speed, distance to the stop line, relative position, phase state, and remaining phase duration, and the action space outputs optimal acceleration and deceleration. …”
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Numerical Investigation on Influential Factors for Quality of Smooth Blasting in Rock Tunnels by Baoping Zou, Zhipeng Xu, Jianxiu Wang, Zhanyou Luo, Lisheng Hu

“…Proposed 3-dimensional blasting modelling was based on LS-DYNA to simulate the occurrence of smooth blasting in rock masses, and the erosion algorithm was also employed to determine the fracturing of jointed rocks. …”
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Production Sequencing and Layout Optimization of Precast Concrete Components under Mold Resource Constraints by Junyong Liang, Zhifang Cao, Qingzhi Zu, Hua Huang, Shunsheng Guo

“…Precast concrete components have attracted a lot of attention due to their efficient production on off-site production lines. …”
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Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach by Kourosh Hayatigolkhatmi, Chiara Soriani, Emanuel Soda, Elena Ceccacci, Oualid El Menna, Sebastiano Peri, Ivan Negrelli, Giacomo Bertolini, Gian Martino Franchi, Roberta Carbone, Saverio Minucci, Simona Rodighiero

“…This report presents a valuable tool for advancing cancer research and drug development by enabling comprehensive, automated cell cycle analysis in both adherent and non-adherent cells.…”
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Resource Allocation in STAR-RIS-Aided SWIPT With RSMA via Meta-Learning by Mojtaba Amiri, Elaheh Vaezpour, Sepideh Javadi, Mohammad Robat Mili, Mehdi Bennis, Eduard Axel Jorswieck

“…Simulation results demonstrate that the proposed Meta-DDPG algorithm performance compared to other base lines, yielding higher data rates and improved harvested energy. …”
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Multi-Sensor Information Fusion Positioning of AUKF Maglev Trains Based on Self-Corrected Weighting by Qian Hu, Hong Tang, Kuangang Fan, Wenlong Cai

“…Multi-sensor information fusion technology is applied to the positioning of maglev trains, which does not rely on a single sensor. It combines the Sage–Husa algorithm with the unscented Kalman filter (UKF) to form the AUKF algorithm using the data collected by the cross-sensor lines, INS, Doppler radar, and GNSS, which adaptively updates the statistical feature estimation of the measurement noise and eliminates the single-function and low-integration shortcomings of the various modules to achieve the precise positioning of maglev trains. …”
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The Machine Learning Models in Major Cardiovascular Adverse Events Prediction Based on Coronary Computed Tomography Angiography: Systematic Review by Yuchen Ma, Mohan Li, Huiqun Wu

“…Due to the high heterogeneity observed, subgroup analysis was conducted based on different model groups. …”
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