Results 41 to 50 of about 4,196 (185)
Remote Sensing in Ecology and Conservation, EarlyView.Cycles of dieback and recovery drove mangrove forest dynamics at the Albert and Leichhardt Rivers (Gulf of Carpentaria, Queensland, Australia) over 36 years (1987–2023). Landward margins were the most affected by reduced tidal inundation when the alignment of low lunar declination suppressed tidal range and extreme El Niño phases lowered mean sea level.
Rogerio Victor S. Gonçalves +4 more
wiley +1 more source
TT4D: Tensor‐Train‐based 4D Time‐Dependent Volume Rendering
Computer Graphics Forum, EarlyView.Abstract Visualizing large‐scale, time‐varying volumetric data using direct volume rendering remains a significant challenge in scientific visualization, particularly as data sizes and resolutions continue to increase. One promising direction for addressing this challenge is the use of tensor decompositions, which have proven to be a useful tool for ...
Clara Hartmann +2 more
wiley +1 more source
Enhancing Volatility Prediction: A Wavelet‐Based Hierarchical Forecast Reconciliation Approach
Journal of Forecasting, Volume 45, Issue 4, Page 1652-1664, July 2026.ABSTRACT Forecasting realized volatility (RV) has been widely studied, with numerous techniques developed to enhance predictive accuracy. Among these techniques, the use of RV decompositions based on intraday asset returns has been applied. However, the use of a frequency‐based decomposition, which provides unique insights into the dynamics of RV ...
Adam Clements, Ajith Perera
wiley +1 more source
Hermite Transform Based Algorithm for Detection and Classification of High Impedance Faults
IEEE Access, 2022 This work proposes a new algorithm to classify high impedance faults (HIFs) in distribution systems. HIFs can be represented by small current magnitudes with non-linear variations, which complicate their detection in distribution grids.
Daniel Guillen +3 more
doaj +1 more source
Influence of Observational Temperature Data Sets on ECS and TCR Estimates
Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.Abstract Uncertainties in estimates of Equilibrium Climate Sensitivity (ECS) and Transient Climate Response (TCR) are influenced by observational temperature data sets. Variability exists not just among the data products, but also within the creation of each one.
Vikrant Sapkota +3 more
wiley +1 more source
Diagnostics, 2022 Timely discovery of COVID-19 could aid in formulating a suitable treatment plan for disease mitigation and containment decisions. The widely used COVID-19 test necessitates a regular method and has a low sensitivity value. Computed tomography and chest X-
Happy Nkanta Monday +6 more
doaj +1 more source
Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition
Applied AI Letters, Volume 7, Issue 2, June 2026.Our Self‐Supervised Feature Fusion (SSF‐FT) method enhances low‐resource speech recognition by adaptively combining features from self‐supervised models trained with Contrastive, Predictive, and Reconstruction objectives. This attention‐weighted ensemble delivers robust performance, particularly in acoustically challenging conditions, extending current
Ussen Kimanuka +2 more
wiley +1 more source
Applied AI Letters, Volume 7, Issue 2, June 2026.DepthPark is a cost‐effective indoor parking management system that uses monocular cameras, two fixed cameras, and one mobile camera per parking lane, together with deep learning. By combining license plate recognition, parking‐slot classification, and single‐frame depth estimation, the system enables real‐time occupancy monitoring and parking ...
Lakshay Naresh Ramchandani +1 more
wiley +1 more source
NMR in Biomedicine, Volume 39, Issue 6, June 2026.This study develops a new Z‐score template method for person‐specific image synthesis to handle missing sequence problems as seen in multiple sclerosis (MS). The synthesized images show equivalency to source and cycle‐generative adversarial network (CycleGAN) outputs in both quality and treatment prediction in MS.
Olayinka Oladosu +3 more
wiley +1 more source
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source