Titlebook: Digital Economy and the Green Revolution; 16th International C Mihail Busu Conference proceedings 2023 The Editor(s) (if applicable) and Th

Jejunum

書目名稱Digital Economy and the Green Revolution影響因子(影響力)




書目名稱Digital Economy and the Green Revolution影響因子(影響力)學科排名




書目名稱Digital Economy and the Green Revolution網(wǎng)絡公開度




書目名稱Digital Economy and the Green Revolution網(wǎng)絡公開度學科排名




書目名稱Digital Economy and the Green Revolution被引頻次




書目名稱Digital Economy and the Green Revolution被引頻次學科排名




書目名稱Digital Economy and the Green Revolution年度引用




書目名稱Digital Economy and the Green Revolution年度引用學科排名




書目名稱Digital Economy and the Green Revolution讀者反饋




書目名稱Digital Economy and the Green Revolution讀者反饋學科排名

束縛

欄桿

不成比例

Achieving Sustainable Performance in Agri-food Supply Chains Through Digitalization, performance in the agri-food supply chain domain and proposes ways to implement the existed technology in order to optimize the function of the agri-food supply chains by supporting a holistic framework towards sustainable and efficient agri-food supply chain systems.

結(jié)合

2198-7246 22. Showcasing research findings and perspectives on the new challenges posed by the digital economy and research systems, the book offers valuable insights into the present context of global crisis, together with solutions for the real-world challenges we face today..978-3-031-19888-5978-3-031-19886-1Series ISSN 2198-7246 Series E-ISSN 2198-7254

內(nèi)部

內(nèi)部

Dysarthria

Conference proceedings 2023tal Economy and the Green Revolution” (ICBE 2022), held in Bucharest, Romania, in March 2022. Showcasing research findings and perspectives on the new challenges posed by the digital economy and research systems, the book offers valuable insights into the present context of global crisis, together w

Integrate

Quantitative Analysis of the Romanian Private Security Market. A Machine Learning Approach,en applied with great success in market analysis. This paper proposes such an approach that aims to first introduce a new dataset and identify the groups in which the market is segmented, by applying k-means++ clustering, and then to develop a well performing classifier that would correctly identify

后來

,China’s Drive for Technological Leadership in Artificial Intelligence. Key Policies and Government-ion seamless, artificial intelligence systems bring significant productivity gains by revolutionising the way data is processed and transformed into added-value. Artificial intelligence has a deep impact over our industrial and production means, supply chains and consumer patterns, as well as over e