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Computers in Industry, Volume 109
Volume 109, August 2019
- Frederico Cruz-Jesus, Andreia Pinheiro, Tiago Oliveira:
Understanding CRM adoption stages: empirical analysis building on the TOE framework. 1-13 - Xuejiao Xing, Botao Zhong, Hanbin Luo, Heng Li, Haitao Wu:
Ontology for safety risk identification in metro construction. 14-30 - Marco Mandolini, Marco Marconi, Marta Rossi, Claudio Favi, Michele Germani:
A standard data model for life cycle analysis of industrial products: A support for eco-design initiatives. 31-44
- Nihat Daldal, Kemal Polat, Yanhui Guo:
Classification of multi-carrier digital modulation signals using NCM clustering based feature-weighting method. 45-58
- Maria Carmela Annosi, Federica Brunetta, Alberto Monti, Francesco Nati:
Is the trend your friend? An analysis of technology 4.0 investment decisions in agricultural SMEs. 59-71
- Gen Ping, Jinglong Chen, Tongyang Pan, Jun Pan:
Degradation feature extraction using multi-source monitoring data via logarithmic normal distribution based variational auto-encoder. 72-82
- Guoqing Zhao, Shaofeng Liu, Carmen Lopez, Haiyan Lu, Sebastian Elgueta, Huilan Chen, Biljana Mileva-Boshkoska:
Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. 83-99
- Francesco Galati, Barbara Bigliardi:
Industry 4.0: Emerging themes and future research avenues using a text mining approach. 100-113
- Luis Pérez, Eduardo Diez, Rubén Usamentiaga, Daniel F. García:
Industrial robot control and operator training using virtual reality interfaces. 114-120 - Jianbo Yu, Xiaoyun Zheng, Jiatong Liu:
Stacked convolutional sparse denoising auto-encoder for identification of defect patterns in semiconductor wafer map. 121-133 - Claudio Mandolla, Antonio Messeni Petruzzelli, Gianluca Percoco, Andrea Urbinati:
Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry. 134-152 - Carlos Mera, Mauricio Orozco-Alzate, John Branch:
Incremental learning of concept drift in Multiple Instance Learning for industrial visual inspection. 153-164 - Pedro Espadinha-Cruz, António Grilo:
The Business Interoperability Decomposition Framework to analyse buyer-supplier dyads. 165-181 - Emilio M. Sanfilippo, Farouk Belkadi, Alain Bernard:
Ontology-based knowledge representation for additive manufacturing. 182-194
- Tuhin Sengupta, Gopalakrishnan Narayanamurthy, Roger Moser, Pradeep Kumar Hota:
Sharing app for farm mechanization: Gold Farm's digitized access based solution for financially constrained farmers. 195-203
- Germán Terrazas, Nicolas Ferry, Svetan M. Ratchev:
A cloud-based framework for shop floor big data management and elastic computing analytics. 204-214 - Alexey Lyutov, Yilmaz Uygun, Marc-Thorsten Hütt:
Managing workflow of customer requirements using machine learning. 215-225
- Deepshikha Sarma, Amrit Das, Uttam Kumar Bera, Ibrahim M. Hezam:
Redistribution for cost minimization in disaster management under uncertainty with trapezoidal neutrosophic number. 226-238
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