Results 191 to 200 of about 6,860 (282)
Traversal Learning Coordination for Lossless and Efficient Distributed Learning
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
Optimized predictive maintenance for streaming data in industrial IoT networks using deep reinforcement learning and ensemble techniques. [PDF]
Varalakshmi K, Kumar J.
europepmc +1 more source
Adaptive Dynamic Bandwidth Allocation in Smart Cities Using Software-Defined Networking
Renaldy Fredyan +2 more
openalex +1 more source
Refining the GIANT dynamic bandwidth allocation mechanism for XG-PON
Jerome A. Arokkiam +2 more
openalex +2 more sources
Estimation and Inference for Higher‐Order Stochastic Volatility Models With Leverage
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
Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence. [PDF]
Chen W, Liu S, Yang Y, Hu W, Yu J.
europepmc +1 more source
Two Node Communication Network with Weibull Inter arrival Times and Dynamic Bandwidth Allocation
G. Sita, K. G. Srinivasa, P. Srinivasa
openalex +1 more source
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
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

