Multi-year observations of near-bed hydrodynamics and suspended sediment at the core of the estuarine turbidity maximum of the Changjiang Estuary by Z. Zhou, J. Ge, J. Ge, D. S. van Maren, D. S. van Maren, D. S. van Maren, H. Luan, H. Luan, W. Guo, J. Ma, Y. Tao, P. Xu, F. Dao, W. Yang, K. Ke, S. Shi, J. Zhang, Y. Kuai, C. Li, J. Gu, P. Ding

“…</p> <p>The resulting dataset comprises the following: (i) fluid motions, encompassing pressure, flow velocity and direction (at the bottom and throughout the entire water column), and wave patterns; (ii) near-bed environmental conditions, including temperature, salinity, and turbidity (at the bottom and across a near-bed 1-meter range); (iii) supplementary meteorological data sourced from credible providers; and (iv) preliminary results from post-processing, showcasing the practical application of the data, such as lateral flows and turbulent kinetic energy characterizations.…”
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cigChannel: a large-scale 3D seismic dataset with labeled paleochannels for advancing deep learning in seismic interpretation by G. Wang, G. Wang, G. Wang, X. Wu, X. Wu, X. Wu, W. Zhang, W. Zhang, W. Zhang

“…However, the synthetic seismic volumes in the <i>cigChannel</i> dataset still lack the variability and realism of field seismic data, potentially affecting the deep learning model's generalizability. …”
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Programming Languages Prediction from Stack Overflow Questions Using Deep Learning by Razowana Khan Mim, Tapu Biswas

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A robust method to simultaneously place sensors and calibrate parameters for urban drainage pipe system models using Bayesian decision theory by Yuan Huang, Junyi Xiong, Jiangjiang Zhang, Feifei Zheng, Yiran Ji, Hoshin Gupta

“…Urban drainage models (UDMs) require observation data from sensors for calibration before managing urban floods. …”
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China's annual forest age dataset at a 30&thinsp;m spatial resolution from 1986 to 2022 by R. Shang, R. Shang, X. Lin, J. M. Chen, J. M. Chen, Y. Liang, K. Fang, M. Xu, Y. Yan, W. Ju, G. Yu, N. He, L. Xu, L. Liu, J. Li, W. Li, J. Zhai, Z. Hu

“…However, their low temporal resolution limits their applicability to track multiyear forest carbon changes. …”
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Quantitative imaging datasets of surface micro- to mesoplankton communities and microplastic across the Pacific and North Atlantic oceans from the Tara Pacific expedition by Z. Mériguet, G. Bourdin, N. Kristan, L. Jalabert, O. Bun, M. Picheral, L. Caray-Counil, J. Maury, M.-L. Pedrotti, A. Elineau, D. A. Paz-Garcia, L. Karp-Boss, G. Gorsky, F. Lombard

“…The datasets include the metadata and<span id="page2762"/> the raw data from which morphological traits such as size (equivalent spherical diameter) and biovolume were calculated for each particle as well as a number of quantitative descriptors of the surface plankton communities. …”
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A flux tower site attribute dataset intended for land surface modeling by J. Shi, H. Yuan, W. Lin, W. Dong, H. Liang, Z. Liu, J. Zeng, H. Zhang, N. Wei, Z. Wei, S. Zhang, S. Liu, X. Lu, Y. Dai

“…However, currently available flux tower datasets often require multiple aspects of processing to ensure data quality before application to LSMs. More importantly, these datasets frequently lack site-observed attribute data, such as fractional vegetation cover and leaf area index, which limits their utility as benchmarking data. …”
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Evaluating ERD Models and RAID-Based Storage for Query Performance Optimization in Relational Databases by Juanda Hakim Lubis, Sri Handayani, Herman Mawengkang, Yuliska

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Improved flow prediction of non-ideal sonic nozzles by CFD-based surrogate modelling by Sebastian Weiss, Bodo Mickan, Kilian Oberleithner, Markus Bär, Sonja Schmelter

“…The use of sonic nozzles as a high-precision standard for gas flow measurements in various engineering and metrological applications is well-established. Due to tolerances during manufacturing, the local curvature radius near the nozzle throat often deviates from the prescribed specifications. …”
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Third Order Likelihood Inference in the Generalized Exponential Distribution under Progressive Type II Censoring by Ayman Baklizi

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Multi-condition hawser tension prediction of offshore offloading system based on long and short-term memory network and transfer learning by Xu Zhang, Hao Luo, Hongbin Hao, Yong Ma

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New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

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Aerodynamic optimization of a coaxial rotor system using a deep learning-based multi-fidelity surrogate model by Shu-Hui Qin, Ai-Ming Yang

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BetaExplainer: A Probabilistic Method to Explain Graph Neural Networks by Whitney Sloneker, Shalin Patel, Hung-Jen Wang, Lorin Crawford, Ritambhara Singh

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Utilizing Repetitive Sampling in the Construction of a Control Chart for Lindley Distribution with Time Truncation by G. V. Sriramachandran, Srinivasa Rao Gadde, Muhammad Aslam

“…The effectiveness of the control charts is assessed through application to real-time data, and the performance of the proposed chart is evaluated using simulation data. …”
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Efficient and generalizable nested Fourier-DeepONet for three-dimensional geological carbon sequestration by Jonathan E. Lee, Min Zhu, Ziqiao Xi, Kun Wang, Yanhua O. Yuan, Lu Lu

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Godunov-type scheme for air–water transient pipe flow considering variable heat transfer and laboratorial validation by Ling Zhou, Qian-Xun Chen, Yun-Jie Li, Rui-Lin Feng, Zi-Jian Xue

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Liu Estimation Method in the Zero-Inflated Conway Maxwell Poisson Regression Model by Muhammad Amin, Bushra Ashraf, Syeda Maryam Siddiqa

“…A Monte Carlo simulation study is performed to compare the performance of the proposed estimator, where mean squared error (MSE) is utilized to demonstrate its superiority. Further, application to real-world data from West Nile Virus surveillance demonstrate that the Liu estimator outperforms the MLE, with smaller MSE in the situation of multicollinearity.…”
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Fuzzy Expert System for Decission Support to Diagnosis Leukemia by Linda Perdana Wanti, Nur Wachid Adi Prasetya, Zahrun Nafisa, Rahmat Mulyadi, Muhammad Ramadani

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A new habitat map of the Lena Delta in Arctic Siberia based on field and remote sensing datasets by S. Lisovski, A. Runge, A. Runge, I. Shevtsova, N. Landgraf, A. Morgenstern, R. R. Okoth, R. R. Okoth, M. Fuchs, M. Fuchs, N. Lashchinskiy, N. Lashchinskiy, C. Stadie, C. Stadie, A. Beamish, U. Herzschuh, U. Herzschuh, U. Herzschuh, G. Grosse, G. Grosse, B. Heim

“…These field data collections were linked to Sentinel-2 satellite data to upscale local patterns in land cover and associated habitats to the entire delta. …”
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