Spatiotemporal Patterns of Drought Migration Across the Contiguous United States by Amitesh Sabut, Ashok Mishra, Dara Entekhabi

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Leak detection and localization in water distribution systems via multilayer networks by Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, Bruno Brentan

“…The Dynamic Time Warping algorithm calculates the similarity between monitored and simulated leak data, identifying likely leak locations. …”
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A Probabilistic Approach to Surrogate‐Assisted Multi‐Objective Optimization of Complex Groundwater Problems by Reygie Q. Macasieb, Jeremy T. White, Damiano Pasetto, Adam J. Siade

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Small-coupling dynamic cavity: A Bayesian mean-field framework for epidemic inference by Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Matteo Mariani, Fabio Mazza, Mattia Tarabolo

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Optimized Hybrid Probabilistic and Geometric Constellation Shaping for Coherent Optical Communication Systems Using End‐to‐End Learning by Zhiyang Liu, Lu Zhang, Xiaoyu Liu, Shilin Xiao, Weiying Yang, Weisheng Hu

“…By employing a differentiable two‐stage blind phase search algorithm integrated within digital signal processing (DSP) and utilizing gradient descent‐based back‐propagation, the approach ensures higher spectral efficiencies. …”
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Automatic location of surface-monitored microseismicity with deep learning by Zhaolong Gan, Xiao Tian, Xiong Zhang, Mengxue Dai

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Patient Controlled Analgesia for Adults with Sickle Cell Disease Awaiting Admission from the Emergency Department by Josue Santos, Sasia Jones, Daniel Wakefield, James Grady, Biree Andemariam

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Study on polarized piezoceramics constant techniques definition (Part 2) by Victor V. Madorsky

“…The paper presents the research results of a new valid numerical method and algorithm for determining the full set of compatible material constants of the piezoelectric ceramics on a single ring-like sample with different electrodes. …”
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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

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Elevating Accuracy: Enhanced Feature Selection Methods for Type 2 Diabetes Prediction by Ghazaleh Kakavand Teimoory, MohammadReza Keyvanpour

“…Addressing interpretability challenges is crucial to fully harnessing predictive analytics in diabetes management, leading to improved patient outcomes and reduced healthcare burdens. Previous research has utilized various algorithms like Naïve Bayes, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), and decision trees for patient classification. …”
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A comparative study of convolutional neural networks and traditional feature extraction techniques for adulteration detection in ground beef by Leila Bahmani, Saied Minaei, Alireza Mahdavian, Ahmad Banakar, Mahmoud Soltani Firouz

“…This shows the superiority of CNN algorithm over machine learning algorithms in identifying adulteration in minced meat. …”
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USING THE KARHUNEN-LOÈVE TRANSFORM TO SUPPRESS GROUND ROLL IN SEISMIC DATA by Kazmierczak Thaís de Souza, Castillo López Luís, Gómez Londoño Ernesto

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MAD saccade: statistically robust saccade threshold estimation via the median absolute deviation by Benjamin Voloh, Marcus R Watson, Seth Konig, Thilo Womelsdorf

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Inverse cost and revenue efficiency in network processes with uncontrollable inputs by Fatemeh Gholami Golsefid, Monireh Jahani Sayyad Noveiri, Sohrab Kordrostami

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Intelligent prediction and oriented design of high-hardness high-entropy ceramics by Anzhe Wang, Jicheng Liu, Linwei Guo, Kejie Qu, Haishen Xie, Yawei Li, Bin Du

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Advancing Precision Medicine for Hypertensive Nephropathy: A Novel Prognostic Model Incorporating Pathological Indicators by Yunlong Qin, Jin Zhao, Yan Xing, Zixian Yu, Panpan Liu, Yuwei Wang, Anjing Wang, Yueqing Hui, Wei Zhao, Mei Han, Meng Liu, Xiaoxuan Ning, Shiren Sun

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Predicting safety attitudes in aviation maintenance using machine learning: An exploratory study by Christos Emexidis, Anna V. Chatzi, Kyriakos I. Kourousis

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Assimilating satellite‐based canopy height within an ecosystem model to estimate aboveground forest biomass by E. Joetzjer, M. Pillet, P. Ciais, N. Barbier, J. Chave, M. Schlund, F. Maignan, J. Barichivich, S. Luyssaert, B. Hérault, F. vonPoncet, B. Poulter

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Representative Sample Size for Estimating Saturated Hydraulic Conductivity via Machine Learning: A Proof‐Of‐Concept Study by Amin Ahmadisharaf, Reza Nematirad, Sadra Sabouri, Yakov Pachepsky, Behzad Ghanbarian

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Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China by Jinze Li, Xiao Wang, Qiyan Zhang, Peng Tang

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