Results 131 to 140 of about 27,765 (261)

Machine Learning‐Assisted Optimization for Dynamic Supply Network Design in the Additive Manufacturing Platform

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Distributed manufacturing enabled by additive manufacturing (AM) allows supply chains to rapidly adapt to changing market conditions through flexible facility relocation and capacity adjustment. However, existing studies largely overlook the logistical aspects of AM‐based supply chains and typically treat facility location and logistics ...
Behrang Bootaki, Guoqing Zhang
wiley   +1 more source

Inverse input optimization for tuning two-ply yarn processing parameters using feedforward neural network. [PDF]

Sci Rep
Savadroodbari HA, Rezahasani M, Abghary MJ, Yazdi AA.   +3 more
europepmc   +1 more source

Chronic high‐altitude exposure and intracerebral hemorrhage: A novel perspective from the vascular‐immune‐neuronal network

Neuroprotection, EarlyView.
Long‐term chronic high‐altitude hypobaric hypoxia increases susceptibility to ICH, particularly among migrant populations lacking EPAS1/SENP1 adaptive genetic variants relative to high‐altitude indigenous residents. Persistent hypoxia initiates blood–brain barrier (BBB) breakdown, aberrant glial and immune activation, and progressive neuronal injury ...
Rongsu Huang, Linjie Wei, Mingxi Li, Bo Wu, Rongjian Ouyang, Gang Zhu, Yujie Chen   +6 more
wiley   +1 more source

Cross-Generational Validation of a Feedforward Neural Network for Milk Yield Prediction in Dairy Cattle. [PDF]

Animals (Basel)
Ferrari C, Punturiero C, Delledonne A, Vergani AM, Masseroli M, Strillacci MG, Bagnato A.   +6 more
europepmc   +1 more source

A Supervised Learning Framework for Accelerating Solvers and Metaheuristics in Routing Problems

Networks, EarlyView.
ABSTRACT Routing problems such as the traveling salesman problem (TSP) and the capacitated vehicle routing problem (CVRP) are computationally challenging due to the exponential growth of their feasible solution spaces with increasing instance size.
Johannes Gückel, Stefan Voigt, Pirmin Fontaine   +2 more
wiley   +1 more source

Diagnosis of Portal Hypertension: Advancing Towards Non‐Invasive Solutions

Portal Hypertension &Cirrhosis, EarlyView.
This review systematically summarizes a full spectrum of non‐invasive diagnostic approaches for portal hypertension (PH), including imaging modalities, elastography, serum biomarkers, composite scoring systems and endoscopic ultrasound‐guided portal pressure gradient (EUS‐PPG), and analyzes their performance across different liver disease etiologies ...
Lijia Yin, Huikuan Chu, Ling Yang
wiley   +1 more source

Elman and feedforward neural network based models for predicting mechanical properties of flow formed AA6082 tubes. [PDF]

Sci Rep
De TN, Podder B, Hui NB, Mondal C, Pathak VK.   +4 more
europepmc   +1 more source

Potential Fault Diagnosis Method and Classification Accuracy Detection of IGBT Device Based on Improved Single Hidden Layer Feedforward Neural Network.

Comput Intell Neurosci, 2021
Wu J, Chen X, Zhang Z.
europepmc   +1 more source

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns. [PDF]

Molecules, 2020
Nguyen QH, Ly HB, Tran VQ, Nguyen TA, Phan VH, Le TT, Pham BT.   +6 more
europepmc   +1 more source

Weibull Variational Autoencoder for Remaining Useful Life Prediction

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Remaining useful life (RUL) prediction is a critical technology for preventing unexpected failures and reducing maintenance costs in modern industrial systems. However, traditional model‐based approaches are limited by the need for explicit mathematical modeling of degradation mechanisms, while data‐driven methods often require large‐scale ...
JunWoo Yu, Yoojin Jang, Kwanghui Shin, Jinsoo Jeong, Yong Soo Kim   +4 more
wiley   +1 more source