Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka, Patchanok Srisuradetchai

“…The existing literature often lacks practical methodologies for creating predictive intervals, especially for time series with trends and seasonal patterns. This paper explicitly details a practical approach integrating dual-output Monte Carlo Dropout (MCDO) with DNNs to approximate predictive means and variances within a Bayesian framework, enabling forecast interval construction. …”
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Supply–Demand Dynamics Quantification and Distributionally Robust Scheduling for Renewable-Integrated Power Systems with Flexibility Constraints by Jiaji Liang, Jinniu Miao, Lei Sun, Liqian Zhao, Jingyang Wu, Peng Du, Ge Cao, Wei Zhao

“…The methodology comprises three key phases: First, a meteorologically aware uncertainty characterization model is developed using Copula theory, explicitly capturing spatiotemporal correlations in wind and PV power outputs. …”
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New Solitons and Multishock Wave Structures for the Conformable Space Fractional Burger and Time Fractional Sharma-Tasso-Olver Models by Selina Akter, null Harun-Or-Roshid, N. F. M. Noor

“…To retrieve explicit solutions of the fractional differential models, we propose an integral scheme, namely, Modified Kudryashov method. …”
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Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios. by Henrik Zunker, René Schmieding, David Kerkmann, Alain Schengen, Sophie Diexer, Rafael Mikolajczyk, Michael Meyer-Hermann, Martin J Kühn

“…The proposed model is an advancement over traditional compartmental models, integrating explicit transmission on travel and commute, a factor available in agent-based models but often neglected with metapopulation models. …”
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Towards a New Generation of Impulse‐Response Functions for Integrated Earth System Understanding and Climate Change Attribution by Alexander J. Winkler, Carlos A. Sierra

“…However, there are limitations due to assumptions of linearity and time/state‐invariance in obtaining IRFs. Recent research has brought new mathematical and computational techniques to address non‐linearity and to obtain spatially explicit state‐aware IRFs to tackle a new set of questions in carbon‐climate science. …”
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A computational scheme of exponential integrator for fuzzy electrical boundary layer flow with variable viscosity and thermal conductivity by Muhammad Shoaib Arif, Kamaleldin Abodayeh, Yasir Nawaz

“…This work aims to enhance accuracy and stability in simulating fluid flows under uncertainty. The proposed explicit scheme operates on two-time levels with compact spatial discretization. …”
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Integration of Google Earth Engine, Sentinel-2 images, and machine learning for temporal mapping of total dissolved solids in river systems by Eric Ariel L. Salas, Sakthi S. Kumaran, Robert Bennett, Eric B. Partee, Jason Brownknight, Kellsie Schrack, Bryant Willis

“…Collecting and maintaining in situ TDS data with high spatial and temporal resolution is time and money-consuming. This study highlights an advanced approach integrating Google Earth Engine (GEE), remote sensing techniques using Sentinel-2 imagery, and machine learning algorithms to map TDS in a spatially explicit manner. …”
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An Improved Integral Response Deformation Method for Seismic Response Analysis of Underground Structures Considering Far-Field Effects by Xin Bao, Shiwei Wang, Boyang Zhu, Dongyang Wang

“…Verification based on the dynamic time history method (implemented with the Abaqus/Explicit solver) confirms that the computational error of the proposed method is essentially controlled within 5%, and compared with that of the traditional method, the number of mesh elements and nodes is reduced by 80%~90%. …”
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HomeSTEAD's physical activity and screen media practices and beliefs survey: Instrument development and integrated conceptual model. by Amber E Vaughn, Derek P Hales, Cody D Neshteruk, Dianne S Ward

“…<h4>Conclusions</h4>The family physical activity and screen media practices survey advances the measurement of the home environment related to children's physical activity, screen time, and weight. The integrated conceptual model provides a useful framework for researchers studying both physical activity and screen media parenting practices.…”
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A Stitch in Time? Mutual Trust as the EU’s Fix-All in Case C-183/23 Commission v Malta by Ruairi O'Neill

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Constrained Nonlinear MPC with Rudder-Roll Stabilization for Integrated Path Following and Collision Avoidance in Underactuated Surface Vessels by Wei Li, Hanyun Zhou

“…The compact state-space model integrates both navigational states and roll dynamics through augmentation, facilitating real-time optimization of the trade-off between safety margins for roll movements and path-following accuracy. …”
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Real-time cortical activity during virtual reality practice in people with multiple sclerosis: a pilot fNIRS study by Rotem Lavi, Massimiliano Pau, Sapir Dreyer-Alster, Tali Drori, Eleonora Cocco, Alon Kalron

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The Modular and Integrated Data Assimilation System at Environment and Climate Change Canada (MIDAS v3.9.1) by M. Buehner, J.-F. Caron, E. Lapalme, A. Caya, P. Du, Y. Rochon, S. Skachko, M. Bani Shahabadi, S. Heilliette, M. Deshaies-Jacques, W. Chang, M. Sitwell

“…<p>The Modular and Integrated Data Assimilation System (MIDAS) software (version 3.9.1) is described in terms of its range of functionality, modular software design, parallelization strategy, and current uses within real-time operational and experimental systems. …”
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An Interpretable Combined Forecasting Method for Stock Market Based on Fuzzy Time Series Model and Linear-Trend Fuzzy Information Granulation by Jindong Feng, Zengtai Gong

“…This study introduces a novel interpretable forecasting framework that integrates the Fuzzy Time Series (FTS) model with the Linear Fuzzy Information Granule (LFIG) method. …”
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Inverse Scattering Integrability and Fractional Soliton Solutions of a Variable-Coefficient Fractional-Order KdV-Type Equation by Sheng Zhang, Hongwei Li, Bo Xu

“…Secondly, we reconstruct the potential function based on the time-dependent scattering data, and rewrite the explicit form of the vcfKdV-type equation using the completeness of eigenfunctions. …”
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Explainable AI-Integrated and GAN-Enabled Dynamic Knowledge Component Prediction System (DKPS) Using Hybrid ML Model by Swathieswari Mohanraj, Shanmugavadivu Pichai

“…The proposed framework starts with a powerful feedback mechanism to capture both explicit and implicit signals from learners, including performance parameters viz., time spent on tasks, and satisfaction ratings. …”
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Infrared finite scattering theory: scattering states and representations of the BMS group by Kartik Prabhu, Gautam Satishchandran

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Logarithmic angle-dependent gauge transformations at null infinity by Oscar Fuentealba, Marc Henneaux

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The Future Is Organic: A Deep Dive into Techniques and Applications for Real-Time Condition Monitoring in SASO Systems—A Systematic Review by Tim Nolte, Sven Tomforde

“…These results highlight a significant research gap and the need for integrated SASO capabilities in future CM systems—especially in real-time, autonomous contexts.…”
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A Hybrid Attention Framework Integrating Channel–Spatial Refinement and Frequency Spectral Analysis for Remote Sensing Smoke Recognition by Guangtao Cheng, Lisha Yang, Zhihao Yu, Xiaobo Li, Guanghui Fu

“…Satellite remote sensing technology, leveraging its extensive spatial coverage and real-time monitoring capabilities, has emerged as a pivotal approach for wildfire early warning and comprehensive disaster assessment. …”
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