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Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model

IEEE access, 2022, Vol.10, p.59068-59077

2022

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Integrating internet of things in service parts operations for sustainability

International journal of engineering business management, 2023-03, Vol.15

2023

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Mapping customer needs to design parameters in the front end of product design by applying deep learning

CIRP annals, 2018, Vol.67 (1), p.145-148

2018

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Perception of time in the online product customization process

Industrial management + data systems, 2023-02, Vol.123 (2), p.369-385

2023

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Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

Transportation research. Part E, Logistics and transportation review, 2021-01, Vol.145, p.102189, Article 102189

2021

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Assessing the cost structure of component reuse in a product family for remanufacturing

Journal of intelligent manufacturing, 2019-02, Vol.30 (2), p.575-587

2019

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Identifying heart disease risk factors from electronic health records using an ensemble of deep learning method

IISE transactions on healthcare systems engineering, 2023-07, Vol.ahead-of-print (ahead-of-print), p.1-11

2023

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Responsive pick face replenishment strategy for stock allocation to fulfil e-commerce order

International journal of production economics, 2023-10, Vol.264, p.108976, Article 108976

2023

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Optimal service parts contract with multiple response times and on-site spare parts

International journal of production research, 2020-05, Vol.58 (10), p.3049-3065

2020

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Enhancing data-driven elderly appointment services in domestic care communities under COVID-19

Industrial management + data systems, 2021-07, Vol.121 (7), p.1552-1576

2021

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Theoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher education

Education and information technologies, 2022-11, Vol.27 (9), p.12543-12566

2022

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Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology

Industrial management + data systems, 2020-06, Vol.120 (6), p.1149-1174

2020

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Redeploying excess inventories with lateral and reverse transshipments

International journal of production research, 2022-05, Vol.60 (10), p.3031-3046

2022

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Mass Customizing Paratransit Services With a Ridesharing Option

IEEE transactions on engineering management, 2020-02, Vol.67 (1), p.234-245

2020

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Design of a Reverse Logistics System with Internet of Things for Service Parts Management

Sustainability, 2022-10, Vol.14 (19), p.12013

2022

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Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies

IEEE transactions on engineering management, 2016-08, Vol.63 (3), p.305-315

2016

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Revamping NetApp’s Service Parts Operations by Process Optimization

INFORMS journal on applied analytics, 2019-11, Vol.49 (6), p.407-421

2019

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Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services

Sustainability, 2020-07, Vol.12 (14), p.5594

2020

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A Fuzzy-AHP Approach for Strategic Evaluation and Selection of Digital Marketing Tools

2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2019, p.1422-1426

2019

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Relative preference-based product configurator design

Procedia CIRP, 2019, Vol.83, p.575-578

2019

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Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications

IEEE transactions on industrial informatics, 2021-12, Vol.17 (12), p.8397-8405

2021

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Impact of passenger unused baggage capacity on air cargo delivery

Annals of operations research, 2024-06

2024

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Closed-loop digital twin system for air cargo load planning operations

International journal of computer integrated manufacturing, 2021-08, Vol.34 (7-8), p.801-813

2021

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Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand

Enterprise information systems, 2024-02, Vol.18 (2)

2024

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Dynamic Inventory Replenishment with Reinforcement Learning in Managing E-Fulfilment Centres

Applications of Decision Science in Management, p.313-319

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Identifying COVID-19 Personal Health Mentions From Tweets Using Masked Attention Model

Integrating internet of things in service parts operations for sustainability

Mapping customer needs to design parameters in the front end of product design by applying deep learning

Perception of time in the online product customization process

Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines

Assessing the cost structure of component reuse in a product family for remanufacturing

Identifying heart disease risk factors from electronic health records using an ensemble of deep learning method

Responsive pick face replenishment strategy for stock allocation to fulfil e-commerce order

Optimal service parts contract with multiple response times and on-site spare parts

Enhancing data-driven elderly appointment services in domestic care communities under COVID-19

Theoretical model of investigating determinants for a successful Electronic Assessment System (EAS) in higher education

Modelling near-real-time order arrival demand in e-commerce context: a machine learning predictive methodology

Redeploying excess inventories with lateral and reverse transshipments

Mass Customizing Paratransit Services With a Ridesharing Option

Design of a Reverse Logistics System with Internet of Things for Service Parts Management

Mass Customizing Spare Parts Support Services Based on Response Time With Inventory Pooling Strategies

Revamping NetApp’s Service Parts Operations by Process Optimization

Design of Flexible Vehicle Scheduling Systems for Sustainable Paratransit Services

A Fuzzy-AHP Approach for Strategic Evaluation and Selection of Digital Marketing Tools

Relative preference-based product configurator design

Knowledge-Empowered Multitask Learning to Address the Semantic Gap Between Customer Needs and Design Specifications

Impact of passenger unused baggage capacity on air cargo delivery

Closed-loop digital twin system for air cargo load planning operations

Online reinforcement learning-based inventory control for intelligent E-Fulfilment dealing with nonstationary demand

Dynamic Inventory Replenishment with Reinforcement Learning in Managing E-Fulfilment Centres

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