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MLA

She, Shi-Yao, et al. "Research on Material Demand Forecasting Algorithm Based on Multi-Dimensional Feature Fusion." IJISMD vol.14, no.1 2023: pp.1-13. http://doi.org/10.4018/IJISMD.330137

APA

She, S., Yuan, F., Li, J., & Dai, H. (2023). Research on Material Demand Forecasting Algorithm Based on Multi-Dimensional Feature Fusion. International Journal of Information System Modeling and Design (IJISMD), 14(1), 1-13. http://doi.org/10.4018/IJISMD.330137

Chicago

She, Shi-Yao, et al. "Research on Material Demand Forecasting Algorithm Based on Multi-Dimensional Feature Fusion," International Journal of Information System Modeling and Design (IJISMD) 14, no.1: 1-13. http://doi.org/10.4018/IJISMD.330137

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Research on Material Demand Forecasting Algorithm Based on Multi-Dimensional Feature Fusion

International Journal of Information System Modeling and Design (IJISMD)

The International Journal of Information System Modeling and Design (IJISMD) publishes original research and practical results on the advances in system analysis and design. The journal promotes the emerging discipline of informatics and its research results on the methods of requirements engineering, enterprise system modeling, service design, integration, evolution, and implementation. This journal examines the theoretical foundations of new generation design tools, which facilitate reasoning regarding emerging compositions of services and bridging the communication gap among business managers and system designers. The primary goal of system modeling and design is to align business models with computerized services to make both organizational and technical system parts more effective.


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