La méthode de l’évaluation des risques sanitaires en France : représentations, évolutions et lectures plurielles by Franck Boutaric

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Comparing Measuring Methods for Speech Timing During Rapid Automatic Naming Tasks Using Arabic and English Bilingual Adults by Richard J. Morris, Sana Tibi, Hany M. Alsalmi, Bailey Latham

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Early mental health intervention and supported self-care for LGBTQ+ young people in the UK: a mixed-methods study by Elizabeth McDermott, Rachael Eastham, Elizabeth Hughes, Emily Pattison, Katherine Johnson, Stephanie Davis, Steven Pryjmachuk, Ceu Mateus, Olu Jenzen, Felix McNulty

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Research on Rapid Detection Methods of Tea Pigments Content During Rolling of Black Tea Based on Machine Vision Technology by Hanting Zou, Tianmeng Lan, Yongwen Jiang, Xiao-Lan Yu, Haibo Yuan

“…As a crucial stage in the processing of black tea, rolling plays a significant role in both the color transformation and the quality development of the tea. …”
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CL-fusionBEV: 3D object detection method with camera-LiDAR fusion in Bird’s Eye View by Peicheng Shi, Zhiqiang Liu, Xinlong Dong, Aixi Yang

“…Additionally, CL-FusionBEV exhibits superior performance in identifying occluded and distant objects, surpassing existing comparative methods.…”
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Presenting two new methods for solving linear interval optimal control problems using the resilience approach of control signal by Elnaz Hosseini, Mehdi Allahdadi, Samaneh Soradi-Zeid

“…In these methods, the given interval optimal control problem is transformed into a non-interval (deterministic) optimal control problem so that it is possible to use the optimal control theory to solve it. …”
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Accuracy Evaluation Method for Blade Vibration Measurement in Blade Tip Timing Based on Direct Calibration Using Time of Arrival by Qi Zhou, Guangyue Niu, Meiru Liu, Guangrong Teng, Fajie Duan, Fangyi Li, Hao Liu, Fafu Li

“…A ToA direct calibration model is developed, which equivalently transforms the ToA variation caused by blade vibration into the circumferential angle difference between the BTT sensor and the rotating blade disk. …”
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A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning by Yuxuan Tang, Zhanjun Liu

“…Lastly, we conducted experimental validation on two financial datasets of different scales. The results on Dataset 1 and Dataset 2 show that our proposed SDT model surpasses traditional detection methods in terms of AUC-PR values (0.882, 0.816) and AUC-ROC values (0.982, 0.994). …”
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Enhancing PM_2.5 Air Pollution Prediction Performance by Optimizing the Echo State Network (ESN) Deep Learning Model Using New Metaheuristic Algorithms by Iman Zandi, Ali Jafari, Aynaz Lotfata

“…Boruta-XGBoost highlighted PM₁₀ as the most important feature. Wavelet transform was then applied to extract 40 features to enhance prediction accuracy. …”
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Comparing Statistical Models for Retrieval based Question-answering Dialogue: BERT vs Relevance Models by Debaditya Pal, Anton Leuski, David Traum

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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

“…Our main advancement is, thus, the identification and characterization of highly effective feature extraction methods, employable in different SHM tasks. We have assessed the performance of the models on two embedded platforms, proposing a smart sensor system where a local hub collects the signals from a constellation of inertial sensors and infers damage assessment onsite, allowing the bridge to self-assess its health state without resorting to connectivity nor cloud resources.…”
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Multipath-Assisted Ultra-Wideband Vehicle Localization in Underground Parking Environment Using Ray-Tracing by Shuo Hu, Lixin Guo, Zhongyu Liu, Shuaishuai Gao

“…To combat significant NLOS noise interference, a robust iterative reweighted least squares (W-IRLS) method synergizes initial weights with optimal position estimation. …”
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Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

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A Correction Method for the Underwater Shock Signals of Floating Shock Platforms Based on a Combination of FFT and Low-Frequency Oscillator by Peng Wang, Ming Yan, Lei Zhang, Mingyuan Zhang

“…We propose a combination method of fast Fourier transform (FFT) and low-frequency oscillator for correcting the underwater shock signals. …”
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Towards large-scale analyses of settlement patterns in urbanizing landscapes—findings of first studies for India, Egypt, and China by Thanh Thi Nguyen, Thomas Esch, Ellen Hoffmann, Julian Zeidler, Lorenz Gruber, Dennis Kaiser, Andreas Buerkert

“…Based on first comprehensive tests for the Punjab (India), the Nile Delta (Egypt) and the North China Plain, the results of our study suggest that the presented methods allow a quantitative and qualitative characterization and comparison of settlement patterns between different regions of the world. …”
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Cross-Modal Object Detection Based on Content-Guided Feature Fusion and Self-Calibration by Liyang Ning, Xuxun Liu, Luoyu Zhou, Xueyu Zou

“…First, we introduce a parallel network in the backbone to enable the model to process information from different modalities simultaneously. Second, we design a content-guided fusion module (CGF) in the feature extraction network, leveraging both transformer and convolution operations to capture global and local information, thereby enhancing the model’s ability to focus on detailed object features. …”
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The Effects of Consumption Habits and Borrowing on Working Life in the Context of Employee Poverty by Furkan Düzenli

“…Therefore, the solution to this problem will make positive contributions to the transformation of working life and contribute to the individual’s living a more prosperous life under more human conditions. …”
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Ocean Currents Velocity Hindcast and Forecast Bias Correction Using a Deep-Learning Approach by Ali Muhamed Ali, Hanqi Zhuang, Yu Huang, Ali K. Ibrahim, Ali Salem Altaher, Laurent M. Chérubin

“…U-Net was modified to create a Transform Model that retains the temporal and spatial evolution of the differences between the model and observations to produce a correction in the form of regression weights that evolves spatially and temporally with the model both forward and backward in time, beyond the observation period. …”
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PROTECTED AREAS IN REGIONS OF INTENSIVE ECONOMICAL ACTIVITY: CONFLICT OF NATURE PROTECTION AND NATURE USE (CASE STUDY OF DOVINĖ RIVER CATCHMENT) by RITA LINKEVICIEN, JULIUS TAMINSKAS, RASA ŠIMANAUSKIEN

“…Cartographical material of different periods is being used for the evaluation of the hydrographical network transformations in Dovin River catchment. …”
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Geomagnetically Induced Current Modeling in New Zealand: Extreme Storm Analysis Using Multiple Disturbance Scenarios and Industry Provided Hazard Magnitudes by D. H. Mac Manus, C. J. Rodger, M. Dalzell, A. Renton, G. S. Richardson, T. Petersen, M. A. Clilverd

“…In this study we utilize the magnetic field waveforms measured during three large geomagnetic storms and scale them to expected worst case extreme storm magnitudes. Multiple methods are used to simulate the varying magnitude of the magnetic field across the different latitudes of New Zealand. …”
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