... prediction Strategic management Machine learning Complex system National Social Science Fund for major projects of China 22&ZD069 The study was supported by the National Social Science Fund for major projects of China under grant 22&ZD069. Digital technology has become...

... Artificial intelligence High-temperature superconductivity Bibliometric analysis Interdisciplinary research Citation analysis Materials science Machine learning The use of bibliometric analysis is crucial for scientific research aimed at advancing high-to-room-temperature superconductors using...

... relevant literature from 2019 to 2020; and to use machine learning algorithms to detect suspicious behavior related to malware. The study offers a novel framework that suggests particular machine learning algorithms for every kind of cyber threat, hence improving cybersecurity knowledge and reaction...

... A systematic literature review for data mining was used to address the research objective. Multiple scientometric techniques (e.g. bibliometric, machine learning and social network analysis) were used to analyse the Lens.org, Web of Science and Scopus databases’ global supply chain risk mitigation data...

... search and selection process are presented in Figure 2 . Figure 2. Process of searching and selecting relevant literature Pragati Agarwal can be contacted at: pragatiafs12@gmail.com According to many reports, the usage of AI, machine learning and analytics will increase...