GRAY CORRELATION ANALYSIS OF SURFACE INTEGRITY OF ULTRASONIC-ASSISTED ROLLING GCR15 BEARING STEEL by LEI Jun, SU YongXiang, XU QingJun

“…Correlation analysis was carried out on surface roughness,residual stress and hardness,and a grey correlation degree prediction model was established,and the model was optimized. …”
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Signal Timing Optimization for Corridors with Multiple Highway-Rail Grade Crossings Using Genetic Algorithm by Yifeng Chen, Laurence R. Rilett

“…A new transition preemption strategy for dual tracks (TPS_DT) and a train arrival prediction model were integrated in the proposed methodology. …”
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Climate Change Adaptation Strategies by Indonesian Vegetable Farmers: Comparative Study of Organic and Conventional Farmers by Irham Irham, Irma Audiah Fachrista, Masyhuri Masyhuri, Any Suryantini

“…Organic farmers more commonly implement mixed cropping, crop rotation, increasing organic manure, using shade, and changing irrigation techniques as their adaptation strategies, while conventional farmers more commonly prefer to adjust planting and harvesting dates and use traditional climate prediction called Pranata Mangsa. The selection of farmers’ adaptation strategies is influenced by age, education, experience, distance to extension services, access to credit, information about climate and farmer groups, as well as farmers’ perceptions of climate change. …”
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Query-Based Instance Segmentation with Dual Attention Transformer for Autonomous Vehicles by Aya Taourirte, Li-Hong Juang

“…Finally, we incorporate the Complete IoU (CIoU) loss function to optimize object localization and improve prediction accuracy. Experiments on the Cityscapes and COCO datasets demonstrate that our approach achieves mIoU scores of 46.7% and AP score of 45.5%, representing improvements of 6.1% and 2.6% over the baseline, respectively, outperforming other state-of-the-art methods.…”
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Correcting the Arcjet Thruster Disturbance in GOES‐16 Magnetometer Data by S. Califf, D. Early, M. Grotenhuis, T. M. Loto'aniu, J. Kronenwetter

“…Abstract The GOES‐R series magnetometers provide observations of the Earth's magnetic field at geostationary orbit for operational use by National Oceanic and Atmospheric Administration (NOAA)'s Space Weather Prediction Center. The GOES‐R spacecraft use arcjet thrusters for orbital stationkeeping, and the partially ionized thruster plume creates a relatively large (~20 nT) disturbance in the magnetometer data. …”
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A Systematic Literature Review on Robust Swarm Intelligence Algorithms in Search-Based Software Engineering by Alam Zeb, Fakhrud Din, Muhammad Fayaz, Gulzar Mehmood, Kamal Z. Zamli

“…The study shows that applications of the selected metaheuristics have been utilized in various fields of software engineering especially software testing, software defect prediction, and software reliability. The study also points out some of the areas where applications of these swarm intelligence algorithms can be utilized. …”
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Effect of Loss Distribution on Deterrence Function of Tort Law by Negin Gholami, Mohammad Moloudi

“…The reasons include the existence of other deterrent factors along with tort liability such as the sense of misrepresentation of individuals, the ineffectiveness attributable to the tort liability system in the realization of deterrence and the prediction of mechanisms in loss distributive institutions to prevent imprudence. …”
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Research on Minimum Time Interception Problem with a Tangent Impulse under Relative Motion Models by Wenzhe Ding, Xinhong Li, Hong Yang

“…Thirdly, under the high-precision orbit prediction (HPOP) model, the Nelder-Mead simplex method is used to optimize the impulse velocity and transfer time to obtain the accurate interception solution. …”
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Brain Tumor Detection Using a Deep CNN Model by Sonia Ben Brahim, Samia Dardouri, Ridha Bouallegue

“…The application of these algorithms offers several benefits, including rapid brain tumor prediction, reduced errors, and enhanced precision. …”
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Numerical Study of Violent Impact Flow Using a CIP-Based Model by Qiao-ling Ji, Xi-zeng Zhao, Sheng Dong

“…It is shown that the present numerical model can give a satisfactory prediction for violent impact flow.…”
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Estimation of the Defect Width on the Outer Race of a Rolling Element Bearing under Time-Varying Speed Conditions by Guang-Quan Hou, Chang-Myung Lee

“…Fault diagnosis and failure prognostics for rolling element bearing are helpful for preventing equipment failure and predicting the remaining useful life (RUL) to avoid catastrophic failure. …”
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Review of statistical methods for survival analysis using genomic data by Seungyeoun Lee, Heeju Lim

“…However, with the development of high-throughput technologies for producing “omics” data, more advanced statistical methods, such as regularization, should be required to construct the predictive survival model with high-dimensional genomic data. …”
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Promoting Variable Effect Consistency in Mixture Cure Model for Credit Scoring by Chenlu Zheng, Jianping Zhu, Xinyan Fan, Song Chen, Zhiyuan Zhang

“…Mixture cure models consist of two parts: an incident part which predicts the probability of default and a latency part which predicts when they are likely to default. …”
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Recovery of Lost Target Using Target Tracking in Event Driven Clustered Wireless Sensor Network by Shailaja Patil, Ashish Gupta, Mukesh Zaveri

“…The prediction based target tracking in wireless sensor network is being studied from many years. …”
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Subregions in the ventromedial prefrontal cortex integrate threat and protective information to meta-represent safety. by Sarah M Tashjian, Joseph Cussen, Wenning Deng, Bo Zhang, Dean Mobbs

“…The current preregistered study used 2 novel tasks to test 4 facets of safety estimation: Safety Prediction, Meta-representation, Recognition, and Value Updating. …”
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The Unified Strength Theory for Plastic Limit Load Analysis of Vertical Shaft Lining by Guangsi Zhao, Minghui Ren, Xianhao Qiu, Qinghua Xue

“…Plastic limit analysis is a significant application for structural design and failure prediction, implying that the potential bearing capacity of material can be fully considered. …”
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TWSME of a NiTi strip in free bending conditions: experimental and theoretical approach by A. Fortini, M. Merlin, R. Rizzoni, S. Marfia

“…The experimental findings are compared with the model simulation and a numerical prediction based on the approach proposed in [25].…”
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Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams by Sanmin Liu, Shan Xue, Fanzhen Liu, Jieren Cheng, Xiulai Li, Chao Kong, Jia Wu

“…Data stream classification becomes a promising prediction work with relevance to many practical environments. …”
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Validity Investigation of Random Energy Flow Analysis for Beam Structures by Jin You, Hong-Guang Li, Guang Meng

“…The results indicate that, the mode count of the analysis frequency band, which means the number of modes involved in the band, is the key factor affecting the prediction accuracy of random energy flow analysis, and that if the mode count of the band is sufficiently large, random energy flow analysis can provide rather accurate estimates for both energy density and intensity in a wide frequency range.…”
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Analysis of Meshing Temperature of Plastic Gear based on the Multi Heat Source of Frictional Heat Flux and Hysteresis Heat Flux by Guoda Yu, Huaiju Liu, Caichao Zhu, Zehua Lu, Peitang Wei

“…The meshing temperature of plastic gear affects the mechanical behaviors such as fatigue， wear and noise， which should not be ignored in the mechanical response and performance prediction of plastic gear. In order to predict the meshing temperature of plastic gears， a finite element numerical model of plastic gear temperature field is established considering the temperature-modulus effect of POM material and the multi-heat sources effect of frictional heat and hysteresis heat flux. …”
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