Sébastien Thomassey

Full Professor

Ecole Nationale Supérieure des Arts et Industries Textiles

France

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Professor Sébastien Thomassey is a Full Professor at École Nationale Supérieure des Arts et Industries Textiles in France. His research areas include smart manufacturing, machine learning applications in product evaluation, and optimization of textile processes. He has contributed significantly to the fields of anomaly detection, wastewater treatment, and mass customization in the clothing industry.

Articles (11)

Multiobjective Optimization of Papermaking Wastewater Treatment Processes under Economic, Energy, and Environmental Goals

Year:

2024

Evaluating the sales potential of new products using machine learning techniques and data collected from mobile applications

Year:

2024

Anomaly detection in smart manufacturing: An Adaptive Adversarial Transformer-based model

Year:

2024

The Semisupervised Approach for Data Driven and Consumer Oriented Sizing Systems in the Clothing Industry

Year:

2023

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

Year:

2021

Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management

Year:

2021

A strategic location decision-making approach for multi-tier supply chain sustainability

Year:

2020

Garment mass customization methods for the cutting-related processes

Year:

2020

Modeling color fading ozonation of reactive-dyed cotton using the Extreme Learning Machine, Support Vector Regression and Random Forest

Year:

2020

Optimization of garment sizing and cutting order planning in the context of mass customization

Year:

2020

Development of a central order processing system for optimizing demand-driven textile supply chains: a real case based simulation study

Year:

2020

Collaborators (1)

Kim Phuc Tran

Associate Professor, Dr. habil. (Maître de Conférences HDR, equivalent of a UK Reader)

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FRANCE

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