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Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet

期刊: COMPUTERS IN INDUSTRY, 2021; 128 ()

Interoperability is playing an increasing role for today?s logistics and supply chain management (LSCM) because of the trends of cooperation or coopet......

Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives

期刊: COMPUTERS IN INDUSTRY, 2021; 129 ()

The rapid development of information and communication technologies has enabled a value co-creation paradigm for developing industrial products and se......

Planning for automatic product assembly using reinforcement learning

期刊: COMPUTERS IN INDUSTRY, 2021; 130 ()

Assembly connects functional modules and components of products. The efficient and accurate assembly can improve performance of the product operation ......

Chisel edge wear measurement of high-speed steel twist drills based on machine vision

期刊: COMPUTERS IN INDUSTRY, 2021; 128 ()

Tool wear is usually the most relevant parameter of tool performance detection, which directly affects the product quality and tool life. Online tool ......

Fast dehazing method for improving the image quality in pellet size measurement

期刊: COMPUTERS IN INDUSTRY, 2021; 128 ()

Images captured during the manufacturing of iron green pellets may be seriously degraded by haze, which greatly affects the performance of machine vis......

Digital interoperability and transformation in logistics and supply chain management: Editorial

期刊: COMPUTERS IN INDUSTRY, 2021; 129 ()

This editorial introduces this Special Issue on advances in research on digital interoperability and transformation in logistics and supply chain mana......

Two-layer Adaptive Blockchain-based Supervision model for off-site modular housing production

期刊: COMPUTERS IN INDUSTRY, 2021; 128 ()

By manufacturing housing products off-site and assembling on-site, modular construction can significantly improve the housing supply efficiency, parti......

A spatial multi-resolution multi-objective data-driven ensemble model for multi-step air quality index forecasting based on real-time decomposition

期刊: COMPUTERS IN INDUSTRY, 2021; 125 ()

In recent years, the problem of urban air pollution has become more serious. Effective Air Quality Index (AQI) forecasting can provide a reliable guar......

A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process

期刊: COMPUTERS IN INDUSTRY, 2021; 125 ()

Textile manufacturing is a typical traditional industry involving high complexity in interconnected processes with limited capacity on the application......

A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis

期刊: COMPUTERS IN INDUSTRY, 2021; 127 ()

Recently, the deep transfer learning approaches have been widely developed for mechanical fault diagnosis issue, which could identify the health state......

A structure-function knowledge extraction method for bio-inspired design

期刊: COMPUTERS IN INDUSTRY, 2021; 127 ()

Bio-inspired design is an innovative design method that uses analogies to biological systems to develop solutions for engineering problems. It offers ......

Wowtao: A personalized pottery-making system

期刊: COMPUTERS IN INDUSTRY, 2021; 124 ()

We present Wowtao, an easy-to-use pottery manufacture system to take digital creativity into the real world. Our approach is able to create customized......

A BIM-based framework for automated generation of fabrication drawings for facade panels

期刊: COMPUTERS IN INDUSTRY, 2021; 126 ()

Many modern commercial buildings involve complex shaped facades, resulting in increasing complexity as well as challenges in facade manufacturing and ......

Neutrosophic fusion of rough set theory: An overview

期刊: COMPUTERS IN INDUSTRY, 2020; 115 ()

Neutrosophic sets (NSs) and logic are one of the influential mathematical tools to manage various uncertainties. Among diverse models for analyzing ne......

An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

期刊: COMPUTERS IN INDUSTRY, 2020; 115 ()

Effectively estimating remaining useful life (RUL) is crucially important for evaluating machine health. In the industry, there exists a high degree o......

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