Predictive modeling of roughness change in multistep machining

R Teimouri, S Skoczypiec - Journal of Intelligent Manufacturing, 2024 - Springer
Following sustainability in manufacturing, the machining chain can be optimized by either
reducing the time and energy consumption of each operation or eliminating the unnecessary …

Machining feature process route planning based on a graph convolutional neural network

Z Wang, S Zhang, H Zhang, Y Zhang, J Liang… - Advanced Engineering …, 2024 - Elsevier
The machining processes of machining features, as the crucial components of the
machining process for the overall part, significantly impact machining quality and production …

A federated learning approach to automated and secure supplier selection in cyber manufacturing as-a-service

X Yan, Z Wang, MM Puvvada, M Dinar… - Journal of Manufacturing …, 2024 - Elsevier
The emergence of cyber or platform-based manufacturing as-a-service is rapidly disrupting
the way discrete parts are sourced and manufactured. However, the centralized business …

Deep learning and sequence mining for manufacturing process and sequence selection

C Zhao, M Dinar, SN Melkote - International Journal of Production …, 2024 - Taylor & Francis
Automatic determination of manufacturing process sequences for the physical production of
given part designs is key to facilitate on-demand cyber manufacturing. In this work, we …

Deep learning-based semantic segmentation of machinable volumes for cyber manufacturing service

X Yan, R Williams, E Arvanitis, S Melkote - Journal of Manufacturing …, 2024 - Elsevier
Enabling the vision of on-demand cyber manufacturing-as-a-service requires a new set of
cloud-based computational tools for design manufacturability feedback and process …

DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification

M Wang, H Tang, Y Wang, Y Chen, L Yin - Journal of Intelligent …, 2025 - Springer
The capability to automatically learn from the design and manufacturing data of discrete
manufacturing processes is essential for the development of future data-driven Computer …

Event-triggered hierarchical learning control of air-breathing hypersonic vehicles with predefined-time convergence

G Wang, H Xia - Journal of Intelligent Manufacturing, 2023 - Springer
This study delves into an event-triggered hierarchical learning control framework for air-
breathing hypersonic vehicles subject to practically constrained actuators. The hierarchical …

Research on Intelligent Translation System of Spoken English Based on Cyclic Neural Network Model

J Zhang - … Journal of Information and Communication Technology …, 2024 - igi-global.com
This paper explores the development of an intelligent translation system for spoken English
using Recurrent Neural Network (RNN) models. The fundamental principles of RNNs and …

Design and Implementation of Folk Arts and Crafts Resource Library System Based on Ontology Description and Random Matrix

P Lei - International Journal of Ambient Computing and …, 2024 - igi-global.com
This article first constructs an ontology, designs the ontology of the resource library, and then
uses the ontology to generate formatted SMD. It uses semantic elements to standardize the …

Improvements to Remote Sensing Algorithms Using Machine Learning Neural Networks

E Pachniak - 2024 - search.proquest.com
Modern satellite remote sensing plays a crucial role in providing data on various water,
atmosphere, and land surface conditions. This research introduces improvements to remote …