Results 191 to 200 of about 6,860 (282)

Traversal Learning Coordination for Lossless and Efficient Distributed Learning

open access: yesExpert Systems, Volume 42, Issue 11, November 2025.
ABSTRACT In this paper, we introduce Traversal Learning (TL), a novel approach designed to address the problem of decreased quality encountered in popular distributed learning (DL) paradigms such as Federated Learning (FL), Split Learning (SL) and SplitFed Learning (SFL).
Erdenebileg Batbaatar   +3 more
wiley   +1 more source

Refining the GIANT dynamic bandwidth allocation mechanism for XG-PON

open access: green, 2015
Jerome A. Arokkiam   +2 more
openalex   +2 more sources

Estimation and Inference for Higher‐Order Stochastic Volatility Models With Leverage

open access: yesJournal of Time Series Analysis, Volume 46, Issue 6, Page 1064-1084, November 2025.
ABSTRACT Statistical inference—estimation and testing—for stochastic volatility models is challenging and computationally expensive. This problem is compounded when leverage effects are allowed. We propose efficient, simple estimators for higher‐order stochastic volatility models with leverage [SVL(p)$$ (p) $$], based on a small number of moment ...
Md. Nazmul Ahsan   +2 more
wiley   +1 more source

An Ensemble Learning Model for Ultra‐Short‐Term Wind Power Prediction Based on Variational Mode Decomposition and Adaptive Weighting

open access: yesNatural Resource Modeling, Volume 38, Issue 4, November 2025.
ABSTRACT The volatility and randomness of wind power generation pose significant challenges to grid integration and dispatching. Accurate wind power forecasting is crucial for ensuring grid security and optimizing dispatching strategies. This study proposes an ultra‐short‐term wind power forecasting model based on Variational Mode Decomposition (VMD ...
Jian Tang   +3 more
wiley   +1 more source

Copula‐Based Data Augmentation and Machine Learning for Predicting Tensile Strength of 3D‐Printed PLA Under Anisotropic Conditions

open access: yesJournal of Applied Polymer Science, Volume 142, Issue 40, October 20, 2025.
Experimental Characterization and Prediction of Mechanical Properties of Anisotropic PLA Samples. ABSTRACT In this study, 48 polylactic acid (PLA) samples were produced via 3D printing, incorporating four infill geometries (gyroid, lattice, honeycomb, and linear), four infill rates (15%–60%), and three printing directions (x, y, z).
Ahmet Saylık   +2 more
wiley   +1 more source

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