Remaining Useful Life Prediction Method for Bearings Based on Pruned Exact Linear Time State Segmentation and Time–Frequency Diagram by Xu Wei, Jingjing Fan, Huahua Wang, Lulu Cai

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Estimation Algorithm for Vehicle Motion Parameters Based on Innovation Covariance in AC Chassis Dynamometer by Xiaorui Zhang, Xingyuan Xu, Hengliang Shi

“…The loading model of the measurement and control system is optimized, enabling the precise loading of the dynamometer. …”
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Analysis of the dynamic correlation between chronic comorbidities and health shocks among middle-aged and older adults people in rural mountainous areas of southern Ningxia—from 14... by Juan Yang, Juan Yang, Shan Liu, Shan Liu, Fei Li, Fei Li, Haodong Meng, Haodong Meng, Hui Qiao, Hui Qiao, Yongxin Xie, Yongxin Xie

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Analysis and Research on Spectrogram-Based Emotional Speech Signal Augmentation Algorithm by Huawei Tao, Sixian Li, Xuemei Wang, Binkun Liu, Shuailong Zheng

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Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

“…This optimization improves both the accuracy and runtime efficiency of the model. …”
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Road Intersection Coordination Scheme for Mixed Traffic (Human-Driven and Driverless Vehicles): A Systematic Review by Ekene F. Ozioko, Julian Kunkel, Fredric Stahl

“…Though many traffic control strategies have been in existence, the Gipp’s car-following model has shown to be very effective for optimal traffic flow performance.…”
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Predictive Capability Evaluation of Micrograph-Driven Deep Learning for Ti6Al4V Alloy Tensile Strength Under Varied Preprocessing Strategies by Yuqi Xiong, Wei Duan

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A Hybrid RBF-PSO Framework for Real-Time Temperature Field Prediction and Hydration Heat Parameter Inversion in Mass Concrete Structures by Shi Zheng, Lifen Lin, Wufeng Mao, Yanhong Wang, Jinsong Liu, Yili Yuan

“…By integrating a Radial Basis Function (RBF) surrogate model with Particle Swarm Optimization (PSO), the method reduces reliance on costly finite element simulations while maintaining global search capabilities. …”
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Industrial-Grade 3D Detection for Laser Cleaning of Metallic Components Based on Neural Radiance Fields and Temporal-Spatial Learning by Dandan Qi

“…Improve the collaborative modeling ability between multi-temporal images through cross-scale attention fusion; 4. …”
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Riverbed Surface Settlement Patterns Induced by Pipe Jacking Construction in River-Crossing Sections by SHENG Song-tao, AN Zi-yue, ZHOU Hong-yun, LIU Jie

“…In the future, site monitoring should be incorporated to further improve model accuracy. The findings can provide guidance for design optimization and risk control of pipe jacking projects along the Yangtze River Economic Belt and under similar hydrogeological conditions, contributing to the implementation of the “joint efforts for environmental protection” strategy.…”
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ANISOTROPIC REGULATOR OF DAMPING OF RANDOM VIBRATIONS OF THE MOBILE PLATFORM OF A BILAMENT VEHICLE APPARATUS by A. S. Abufanas, A. A. Lobaty, Yu. F. Yacina

“…The coefficients of the optimal regulator are obtained by mathematical modeling. …”
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A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress by Soo-yeon Park, Oran Kwon, Tim van den Broek, Jildau Bouwman, Ji Yeon Kim

“…The resulting health space model visually represents individuals’ health status in a 2-D space. …”
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Influence Analysis of Virtual Impedance on the Stability of Parallel System of Inverters with Different Voltage Levels by Wentao MA, Jinmei WANG, Yongqi WANG

“…Using virtual impedance technology to optimize the double closed-loop control structure can improve the equivalent output impedance of the inverter to be inductive and enhance the accuracy of power distribution by traditional inductive droop control strategies in low-voltage micro-grids, thus inhibiting circulating current. …”
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Eco-friendly synthesis coupled with predictive analytics: Developing hierarchical lignin-derived ordered mesoporous carbon for advanced supercapacitors by Xiaolan Zhao, Xiaoqi Wang, Pei Gao, Peng Zhao, Jingjing Wang, Yingna Li, Zhibin Han, Boxiong Shen

“…However, achieving controllable fabrication and optimizing electrochemical behavior were challenging. …”
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The Effective Evaluation of Emotions in the Visual Emotion Images Using Convolutional Neural Networks by Modestas Motiejauskas, Gintautas Dzemyda

“…This paper develops a model for recognizing emotions in visual images. …”
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Detection of DDoS Attacks in SDN Switches with Deep Learning and Swarm Intelligence Approach by Mohsen Eghbali, Mohammadreza Mollkhalili Maybodi

“…Essential features are then selected using the African Vulture Optimization Algorithm. Subsequently, an LSTM deep learning model is trained within the SDN controller. …”
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Building Up a Robust Risk Mathematical Platform to Predict Colorectal Cancer by Le Zhang, Chunqiu Zheng, Tian Li, Lei Xing, Han Zeng, Tingting Li, Huan Yang, Jia Cao, Badong Chen, Ziyuan Zhou

“…For this reason, this study collects relatively complete information of genetic variations and environmental exposure for both CRC patients and cancer-free controls; a multimethod ensemble model for CRC-risk prediction is developed by employing such big data to train and test the model. …”
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A Dual-Feature Framework for Enhanced Diagnosis of Myeloproliferative Neoplasm Subtypes Using Artificial Intelligence by Amna Bamaqa, N. S. Labeeb, Eman M. El-Gendy, Hani M. Ibrahim, Mohamed Farsi, Hossam Magdy Balaha, Mahmoud Badawy, Mostafa A. Elhosseini

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The impact of movement and vaccination on Peste des Petits Ruminants disease spread between two different agroecological zones by Yibekal Walle, Joseph Y.T. Mugisha, Dawit Melese, Haileyesus Tessema

“…Ultimately, the findings emphasize the importance of coordinating vaccination programs for both zones with effective movement control measures to optimize disease control strategies and enhance PPR eradication efforts at national level.…”
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A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets. by Jiamin Hu, Xiaofan Yang

“…On this basis, we model the ARS problem as a data-driven optimal control problem, aiming to realize both learning and prediction of propagation parameters based on network traffic data observed at multiple discrete time slots and control of IoT botware propagation to a desired infection level. …”
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