A machine learning framework with dataset-knowledgeability pre-assessment and a local decision-boundary crispness score: An industry 4.0-based case study on composite autoclave manufacturing

Industry 5.0—A Human-Centric Solution

(2019) Saeid Nahavandi   Sustainability

Support vector regression modelling and optimization of energy consumption in carbon fiber production line

(2018) Gelayol Golkarnarenji et al.   COMPUTERS & CHEMICAL ENGINEERING

Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing

(2018) Muhammad Syafrudin et al.   SENSORS

Production planning optimisation for composite aerospace manufacturing

(2018) Christian Hueber et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

A holistic review of Network Anomaly Detection Systems: A comprehensive survey

(2018) Nour Moustafa et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A machine learning case study with limited data for prediction of carbon fiber mechanical properties

(2018) Gelayol Golkarnarenji et al.   COMPUTERS IN INDUSTRY

Adequate sample size for developing prediction models is not simply related to events per variable

(2016) Emmanuel O. Ogundimu et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Pyrolysis model for a carbon fiber/epoxy structural aerospace composite

(2016) Mark B McKinnon et al.   JOURNAL OF FIRE SCIENCES

Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

(2015) Tjeerd van der Ploeg et al.   BMC Medical Research Methodology

Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models

(2014) Peter C Austin et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Uncertainty in the manufacturing of fibrous thermosetting composites: A review

(2013) T.S. Mesogitis et al.   COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING

Selection of Proper Neural Network Sizes and Architectures—A Comparative Study

(2012) David Hunter et al.   IEEE Transactions on Industrial Informatics

A survey of data mining and knowledge discovery process models and methodologies

(2010) Gonzalo Mariscal et al.   KNOWLEDGE ENGINEERING REVIEW