Ambient intraborehole flow in a highly productive aquifer in Ljubljana, Slovenia by Janja Svetina, Joerg Prestor, Simon Mozetič, Mihael Brenčič

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Un modelo poco explorado de refugiado político: gallegos en Portugal durante la Guerra Civil Española y la primera posguerra by Ángel Rodríguez Gallardo

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Detecting and Predicting Models for QoS Optimization in SDN by Getahun Wassie, Jianguo Ding, Yihenew Wondie

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Adaptive-AR Model with Drivers’ Prediction for Traffic Simulation by Xuequan Lu, Mingliang Xu, Wenzhi Chen, Zonghui Wang, Abdennour El Rhalibi

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De volta para casa: a distribuição dos brasileiros retornados do exterior by Wilson Fusco, Sylvain Souchaud

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Numerical Studies of Particle-Gas Two-Phase Flowing through Microshock Tubes by Guang Zhang, Wei Wei Wang, Xiang Hui Su, Xiao Jun Li, Wen Hao Shen, Zhe Lin

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A New Model for Locating Plate Recognition Devices to Minimize the Impact of the Uncertain Knowledge of the Routes on Traffic Estimation Results by Santos Sánchez-Cambronero, Fernando Álvarez-Bazo, Ana Rivas, Inmaculada Gallego

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Globalização e integração territorial – o caso da região de Tefé no Amazonas by Kristian Oliveira Queiroz

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A fluidez territorial na fronteira ocidental da Amazônia: as cidades gêmeas Tabatinga (Brasil) e Leticia (Colômbia) by Emerson Flávio Euzébio

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Calculation of Flood Recurrence of Delibekirli Basin (Kırıkhan/Hatay) using Statistical and Deterministic Methods and Modeling with HEC-RAS by Mahsum Bozdoğan, Ergin Canpolat

“…As a result of the studies and evaluations carried out, it was concluded that in order to prevent the floods that may occur due to the Delibekirli Stream in Kırıkhan from causing loss of life and property, it was concluded that the works for the river channel should be designed based on at least 500-year flood flow (124,36 m3/s).…”
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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

“…Additionally, a Multi-Scale Feature Enhancement Module (MFEB) is introduced to refine focus on low-level features through multi-scale and selection strategies, mitigating issues such as interference from image backgrounds and noise during small target detection. Furthermore, a novel loss function is designed to dynamically adjust the proportions of its components during training, improving the regression accuracy of small targets towards real annotation boxes and enhancing the localization ability of detection boxes. …”
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Comparative Evaluation of Elemental and Surface Changes of Retrieved Titanium and Stainless Steel Orthodontic Miniscrew: An in vivo Study by Aditi Bendre, Veera Bhosale, Shrushti Bapat, Shivangini Swarnkar, Vinit Swami, Siddharth Shinde

“…Conclusion: Surface changes in the form of dullness. loss of gloss, blunting and crater formation were observed, while elemental changes in the form of statistically significant increase in the oxygen, nitrogen , carbon and calcium content were observed on the retrieved mini-implants.…”
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Corrosion Resistance Synergistic Appraisal of Titanium-Impregnated Bisphenol A-Type Epoxy Duplex Coating System in Stimulated and Natural Marine Environments of Southeastern Coasta... by Ishrat Jamil, Humaira Bano, Vinod C. Malshe, Azhar Mahmood, Kamran Khan, Nasir M. Ahmad

“…Fourier transform infrared spectroscopy has indicated higher mass loss and chain scission in the virgin epoxy coating than the Ti-enriched coatings. …”
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Tailored Channel Pruning: Achieve Targeted Model Complexity Through Adaptive Sparsity Regularization by Suwoong Lee, Yunho Jeon, Seungjae Lee, Junmo Kim

“…However, existing pruning methods often require iterations of training and pruning or many experiments to find hyperparameters that satisfy a given budget or forcibly truncate parameters with a given budget, resulting in performance loss. To solve this problem, we propose a novel channel pruning method called Tailored Channel Pruning. …”
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Pri-DDQN: learning adaptive traffic signal control strategy through a hybrid agent by Yanliu Zheng, Juan Luo, Han Gao, Yi Zhou, Keqin Li

“…With the goal of minimizing the waiting time and queue length at intersections, we use double DQN to train the agent, incorporate traffic state and reward into the loss function, and update the target network parameters asynchronously, to improve the agent’s learning ability. …”
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Impact of stellar variability on exoplanet detectability and characterisation by Meunier, Nadège

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Determinants of international migration in Argentina: differences between european and latin american inflows by Roxana MAURIZIO

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Flow-based electronic resource network behavior analysis practice by HE Haitao, LI Enlei, ZHAO Qiong, YAO Renlong, WEI Yujun

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Regionalización de las migraciones residenciales interurbanas en Chile en el período 1997‑2002 by Severino Escolano‑Utrilla, Jorge Ortiz-Véliz, Rodrigo Moreno-Mora

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Les mobilités domicile-travail dans les réseaux d’agglomérations by Julien Gingembre, John Baude

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