Titlebook: Enterprise Information Systems; 23rd International C Joaquim Filipe,Micha? ?mia?ek,Slimane Hammoudi Conference proceedings 2022 Springer Na

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書目名稱Enterprise Information Systems影響因子(影響力)




書目名稱Enterprise Information Systems影響因子(影響力)學(xué)科排名




書目名稱Enterprise Information Systems網(wǎng)絡(luò)公開度




書目名稱Enterprise Information Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Enterprise Information Systems被引頻次




書目名稱Enterprise Information Systems被引頻次學(xué)科排名




書目名稱Enterprise Information Systems年度引用




書目名稱Enterprise Information Systems年度引用學(xué)科排名




書目名稱Enterprise Information Systems讀者反饋




書目名稱Enterprise Information Systems讀者反饋學(xué)科排名

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Evaluation of?Taxi Service with?Regard to?the?Drivers Income Using Simulation Supportny or a self-employed person (i.e., the taxi driver) is the one in charge with vehicle maintenance, fuel payment, insurance, etc. The taxi service request is mainly made through mobile applications, where costumers select payment method, origin and destination, and an information system, aware of th

Jingoism

Nebulous

拘留

characteristic

Impact of?Self-organization on Tertiary Objectives of?Production Planning and?Controlonly primary and secondary but also tertiary objectives. Many production planning and control approaches have been evolved and proven to comply with primary and secondary objectives with ease. In this paper we look at the tertiary goals of production, such as flexibility, robustness and stability. S

characteristic

遠(yuǎn)地點(diǎn)

Edge Deep Learning Towards the?Metallurgical Industry: Improving the?Hybrid Pelletized Sinter (HPS) y 4.0 and provides significant improvements, especially in the production and consumption of raw materials and internal products. In this work, we propose an Artificial Intelligence System in Deep Learning with Edge Computing to recognize the quasi-particles of the Hybrid Pelletized Sinter (HPS) pro

胰島素

創(chuàng)新

A Methodology for?Mapping Perceived Spatial Qualitiesural network methods were used. Crowdsourcing enables gathering data from people, and neural networks facilitate extending that knowledge to perform automatic classifications. The proposed method is then applied in the implementation of two use cases: perceived safety and perceived atmosphere of urb