SAASNets: Shared attention aggregation Siamese networks for building change detection in multispectral remote sensing. [PDF]
PLoS OnePang S +6 more
europepmc +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
Hydrogen Energy Research in Italy in the Bioeconomy Era
Energy Science &Engineering, EarlyView.Image shows nearly completed NEOM solar hydrogen and green ammonia plant in Saudi Arabia. Solar (“green”) hydrogen is produced using alkaline water electrolyzers produced in Italy. ABSTRACT In 2026, the nearly concomitant launch of the world's first H2‐powered ship in Ancona, the completion of the first green H2 pipeline to refuel some 100 hydrogen ...
Mario Pagliaro
wiley +1 more source
Employing Siamese Networks as Quantitative Biomarker for Assessing the Effect of Dolphin-Assisted Therapy on Pediatric Cerebral Palsy. [PDF]
Brain SciMoreno Escobar JJ +4 more
europepmc +1 more source
FlexMat, EarlyView.The buried interface is a critical determinant of efficiency and stability in inverted flexible perovskite solar cells (IFPSCs). This Perspective summarizes advances in hole transporting materials for IFPSCs, including polymeric, small‐molecule, inorganic, and hybrid systems, and discusses the prospects and feasibility of emerging molecular design and ...
Xianglang Sun, Jiawei Leng, Zhong'an Li
wiley +1 more source
Food Biomacromolecules, EarlyView.Abstract Cardiovascular diseases (CVDs) remain the leading cause of global mortality, necessitating effective preventive and adjunct therapeutic strategies beyond conventional pharmacological interventions. Although previous reviews have focused on individual nutrients or dietary patterns, this review provides a mechanism‐based, integrative perspective
Sridevi Shanmugam +7 more
wiley +1 more source
Correction: Moreno Escobar et al. Employing Siamese Networks as Quantitative Biomarker for Assessing the Effect of Dolphin-Assisted Therapy on Pediatric Cerebral Palsy. <i>Brain Sci.</i> 2024, <i>14</i>, 778. [PDF]
Brain SciMoreno Escobar JJ +4 more
europepmc +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
Journal of Forecasting, EarlyView.ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Intelligent fault detection strategy for knowledge entities in fault semantic networks of distribution network based on siamese networks. [PDF]
PLoS OneSun X, Qin T, Tong L, Zhang H, Xu W.
europepmc +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source