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

A reinforcement learning framework for optimal operation and maintenance of power grids

(2019) R. Rocchetta et al.   APPLIED ENERGY

Effects of color fading ozonation on the color yield of reactive-dyed cotton

(2019) Zhenglei He et al.   DYES AND PIGMENTS

Reinforcement learning for pricing strategy optimization in the insurance industry

(2019) Elena Krasheninnikova et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

(2019) Zhenglei He et al.   TEXTILE RESEARCH JOURNAL

A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

(2018) Renzhi Lu et al.   APPLIED ENERGY

Color fading of reactive-dyed cotton using UV-assisted ozonation

(2018) ZhengLei He et al.   OZONE-SCIENCE & ENGINEERING

The effect of denim color fading ozonation on yarns

(2018) Zhenglei He et al.   OZONE-SCIENCE & ENGINEERING

A quantitative structure-property relationship study of the photovoltaic performance of phenothiazine dyes

(2015) Vishwesh Venkatraman et al.   DYES AND PIGMENTS

Dynamic pricing policies for interdependent perishable products or services using reinforcement learning

(2015) Rupal Rana et al.   EXPERT SYSTEMS WITH APPLICATIONS

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Study the effect of operating parameters and intrinsic features of yarn and fabric on thermal conductivity of stretch knitted fabrics using artificial intelligence system

(2014) Faten Fayala et al.   FIBERS AND POLYMERS

Selection of Handloom Fabrics for Summer Clothing Using Multi-Criteria Decision Making Techniques

(2014) Ashis Mitra et al.   Journal of Natural Fibers

Using reinforcement learning to find an optimal set of features

(2013) Seyed Mehdi Hazrati Fard et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

Reinforcement learning for microgrid energy management

(2013) Elizaveta Kuznetsova et al.   ENERGY

Yarn engineering using hybrid artificial neural network-genetic algorithm model

(2013) Subhasis Das et al.   FIBERS AND POLYMERS

The use of hybrid algorithms to improve the performance of yarn parameters prediction models

(2012) Josphat Igadwa Mwasiagi et al.   FIBERS AND POLYMERS

A review of energy use and energy efficiency technologies for the textile industry

(2012) Ali Hasanbeigi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Prediction of cotton yarn properties using support vector machine

(2010) Anindya Ghosh et al.   FIBERS AND POLYMERS

Bio‐degumming optimization parameters of kenaf based on a neural network model

(2010) Laijiu Zheng et al.   JOURNAL OF THE TEXTILE INSTITUTE

Prediction of Yarn Properties Using Evaluation Programing

(2009) Mehmet Dayik   TEXTILE RESEARCH JOURNAL