Related references
Note: Only part of the references are listed.Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
Konstantinos Nikolopoulos et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)
Impact of COVID-19 on logistics systems and disruptions in food supply chain
Sube Singh et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2021)
If deep learning is the answer, what is the question?
Andrew Saxe et al.
NATURE REVIEWS NEUROSCIENCE (2021)
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
Mohammad Ehsan Basiri et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)
Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management
H. D. Nguyen et al.
INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2021)
Deep learning in business analytics and operations research: Models, applications and managerial implications
Mathias Kraus et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
Supply chain data analytics for predicting supplier disruptions: a case study in complex asset manufacturing
Alexandra Brintrup et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)
A systematic literature review on machine learning applications for sustainable agriculture supply chain performance
Rohit Sharma et al.
COMPUTERS & OPERATIONS RESEARCH (2020)
Constructing a PM2.5 concentration prediction model by combining auto-encoder with Bi-LSTM neural networks
Bo Zhang et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2020)
Extracting supply chain maps from news articles using deep neural networks
Pascal Wichmann et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)
Exploration on the financing risks of enterprise supply chain using Back Propagation neural network
Xin Cai et al.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2020)
Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization
Shui-Hua Wang et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Supply chain finance credit risk assessment using support vector machine-based ensemble improved with noise elimination
Ying Liu et al.
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (2020)
Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail
Sushil Punia et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2020)
A mathematical model for pharmaceutical supply chain coordination: Reselling medicines in an alternative market
Roya Tat et al.
JOURNAL OF CLEANER PRODUCTION (2020)
A GRU-RNN based momentum optimized algorithm for SOC estimation
Meng Jiao et al.
JOURNAL OF POWER SOURCES (2020)
A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks
Chih-Yuan Chu et al.
ADVANCED ENGINEERING INFORMATICS (2020)
Probabilistic forecasting with temporal convolutional neural network
Yitian Chen et al.
NEUROCOMPUTING (2020)
Challenges and solutions for addressing critical shortage of supply chain for personal and protective equipment (PPE) arising from Coronavirus disease (COVID19) pandemic - Case study from the Republic of Ireland
Neil J. Rowan et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review
Seyedmohsen Hosseini et al.
EXPERT SYSTEMS WITH APPLICATIONS (2020)
Agriculture supply chain risks and COVID-19: mitigation strategies and implications for the practitioners
Rohit Sharma et al.
INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS (2020)
Challenges and solutions in meeting up the urgent requirement of ventilators for COVID-19 patients
Karthikeyan Iyengar et al.
DIABETES & METABOLIC SYNDROME-CLINICAL RESEARCH & REVIEWS (2020)
A Review of the Existing and Emerging Topics in the Supply Chain Risk Management Literature
Mehrdokht Pournader et al.
DECISION SCIENCES (2020)
The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling
Yaoshiang Ho et al.
IEEE ACCESS (2020)
A new approach of integrating piecewise linear representation and weighted support vector machine for forecasting stock turning points
Huimin Tang et al.
APPLIED SOFT COMPUTING (2019)
Flight delay prediction for commercial air transport: A deep learning approach
Bin Yu et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)
Deep learning for decision making and the optimization of socially responsible investments and portfolio
Nhi N. Y. Vo et al.
DECISION SUPPORT SYSTEMS (2019)
Supply chain risk management and artificial intelligence: state of the art and future research directions
George Baryannis et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2019)
A neural network approach for retailer risk assessment in the aftermarket industry
Shirin Rezaei et al.
BENCHMARKING-AN INTERNATIONAL JOURNAL (2019)
Anomaly detection using Long Short Term Memory Networks and its applications in Supply Chain Management
Kim Phuc Tran et al.
IFAC PAPERSONLINE (2019)
Text classification based on deep belief network and softmax regression
Mingyang Jiang et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Closed-loop supply chain network design with multiple transportation modes under stochastic demand and uncertain carbon tax
Ali Haddadsisakht et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2018)
Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks
Abroon Qazi et al.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2018)
A framework for designing supply chain disruptions management considering productive systems and carrier viewpoints
Mauricio Fontoura Blos et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)
Bayesian network modelling for supply chain risk propagation
Ritesh Ojha et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)
Resilient and sustainable supply chain design: sustainability analysis under disruption risks
Armin Jabbarzadeh et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)
The station-free sharing bike demand forecasting with a deep learning approach and large-scale datasets
Chengcheng Xu et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
An integrated data envelopment analysis-mathematical programming approach to strategic biodiesel supply chain network design problem
Reza Babazadeh et al.
JOURNAL OF CLEANER PRODUCTION (2017)
The role of Big Data in explaining disaster resilience in supply chains for sustainability
Thanos Papadopoulos et al.
JOURNAL OF CLEANER PRODUCTION (2017)
A sustainable second-generation biodiesel supply chain network design problem under risk
Reza Babazadeh et al.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2017)
Exploiting Big Data in Logistics Risk Assessment via Bayesian Nonparametrics
Yan Shang et al.
OPERATIONS RESEARCH (2017)
Supplier selection for managing supply risks in supply chain: a fuzzy approach
Sanjoy Kumar Paul
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2015)
Supply chain risk management: a literature review
William Ho et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2015)
Perspectives in supply chain risk management
Christopher S. Tang
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS (2006)
Multiresponse robust design:: Mean square error (MSE) criterion
O Köksoy
APPLIED MATHEMATICS AND COMPUTATION (2006)
Random forest classifier for remote sensing classification
M Pal
INTERNATIONAL JOURNAL OF REMOTE SENSING (2005)