Research on product process design and optimisation model based on IoT intelligent computing

[1] Halkos, G., J. Moll De Alba and V. Todorov, Economies’ inclusive and green industrial performance: An evidence based proposed index. Journal of Cleaner Production, 2021. 279: p. 123516. Search in Google Scholar

[2] Nag, U., S.K. Sharma and S.S. Padhi, Evaluating value requirement for Industrial Product-Service System in circular economy for wind power-based renewable energy firms. Journal of Cleaner Production, 2022. 340: p. 130689. Search in Google Scholar

[3] Ding, L., et al., Assessing industrial circular economy performance and its dynamic evolution: An extended Malmquist index based on cooperative game network DEA. Science of The Total Environment, 2020. 731: p. 139001. Search in Google Scholar

[4] Halkos, G., J. Moll De Alba and V. Todorov, Economies’ inclusive and green industrial performance: An evidence based proposed index. Journal of Cleaner Production, 2021. 279: p. 123516. Search in Google Scholar

[5] Nag, U., S.K. Sharma and S.S. Padhi, Evaluating value requirement for Industrial Product-Service System in circular economy for wind power-based renewable energy firms. Journal of cleaner production, 2022. 340. Search in Google Scholar

[6] Ding, L., et al., Assessing industrial circular economy performance and its dynamic evolution: An extended Malmquist index based on cooperative game network DEA. Science of The Total Environment, 2020. 731: p. 139001. Search in Google Scholar

[7] Favi, C., et al., A CAD-based design for manufacturing method for casted components. Procedia CIRP, 2021. 100: p. 235-240. Search in Google Scholar

[8] Favi, C., et al., Engineering knowledge formalization and proposition for informatics development towards a CAD-integrated DfX system for product design. Advanced Engineering Informatics, 2022. 51: p. 101537. Search in Google Scholar

[9] Lu, Y., P. Li and H. Xu, A Food anti-counterfeiting traceability system based on Blockchain and Internet of Things. Procedia Computer Science, 2022. 199: p. 629-636. Search in Google Scholar

[10] Sun, C., Application of RFID Technology for Logistics on Internet of Things. AASRI Procedia, 2012. 1: p. 106-111. Search in Google Scholar

[11] Chen, Y., et al., Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing. Knowledge-Based Systems, 2022. 244: p. 108505. Search in Google Scholar

[12] Tahsien, S.M., H. Karimipour and P. Spachos, Machine learning based solutions for security of Internet of Things (IoT): A survey. Journal of Network and Computer Applications, 2020. 161: p. 102630. Search in Google Scholar

[13] Yu, Y., W. Peng and J. Lu, Wireless network security game based on conditional privacy policy. Computer Communications, 2022. 184: p. 96-106. Search in Google Scholar

[14] Che, H. and J. Wang, A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization. IEEE Transactions on Neural Networks and Learning Systems, 2019. 30(8): p. 2503-2514. Search in Google Scholar

[15] Li, W. and S. Kara, Methodology for Monitoring Manufacturing Environment by Using Wireless Sensor Networks (WSN) and the Internet of Things (IoT). Procedia CIRP, 2017. 61: p. 323-328. Search in Google Scholar

[16] Hasan, R. and R. Hasan, Pedestrian safety using the Internet of Things and sensors: Issues, challenges, and open problems. Future Generation Computer Systems, 2022. 134: p. 187-203. Search in Google Scholar

[17] Lu, J. and X. Chen, Risk model of financial supply chain of Internet of Things enterprises: A research based on convolutional neural network. Computer Communications, 2022. 183: p. 96-106. Search in Google Scholar

[18] Choi, J., et al., Understanding Internet of Things malware by analyzing endpoints in their static artifacts. Computer Networks, 2022. 206: p. 108768. Search in Google Scholar

[19] Haseeb, K., et al., Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things. Sustainable Cities and Society, 2021. 68: p. 102779. Search in Google Scholar

[20] Fang, C., et al., Mapping Relation of Leakage Currents of Polluted Insulators and Discharge Arc Area. Frontiers in Energy Research, 2021. 9. Search in Google Scholar

[21] Zhao, R., et al., Deep reinforcement learning based mobile edge computing for intelligent Internet of Things. Physical Communication, 2020. 43: p. 101184. Search in Google Scholar

[22] Kuhn, T.E., et al., Review of technological design options for building integrated photovoltaics (BIPV). Energy and Buildings, 2021. 231: p. 110381. Search in Google Scholar

[23] Dong, C., et al., A complex network-based response method for changes in customer requirements for design processes of complex mechanical products. Expert Systems with Applications, 2022. 199: p. 117124. Search in Google Scholar

[24] Cao, Z., Y. Yan and K. Tang, Path optimization of open collaborative innovation of energy industry in urban agglomeration based on particle swarm optimization algorithm. Energy Reports, 2022. 8: p. 5533-5540. Search in Google Scholar

[25] Li, S., X. Chi and B. Yu, An improved particle swarm optimization algorithm for the reliability–redundancy allocation problem with global reliability. Reliability Engineering & System Safety, 2022. 225: p. 108604. Search in Google Scholar

[26] Song, K., et al., A steel property optimization model based on the XGBoost algorithm and improved PSO. Computational Materials Science, 2020. 174: p. 109472. Search in Google Scholar

[27] Zhao, S., et al., Mutation grey wolf elite PSO balanced XGBoost for radar emitter individual identification based on measured signals. Measurement: journal of the International Measurement Confederation, 2020. 159: p. 107777. Search in Google Scholar

[28] Li, W., Y. Wei and W. Xu, General expression of knowledge granularity based on a fuzzy relation matrix. Fuzzy Sets and Systems, 2022. 440: p. 149-163. Search in Google Scholar

[29] Maneckshaw, B. and G.S. Mahapatra, Novel fuzzy matrix swap algorithm for fuzzy directed graph on image processing. Expert Systems with Applications, 2022. 193: p. 116291. Search in Google Scholar