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Corporate Social Responsibility through Collaboration in the Supply Chain: Insights into a More Sustainable Economy

Farhan Zeb Khaskhelly, Ali Raza, Hemal Azhar, Nida Zehra Zehra et al. • Reviews of Management Sciences (2023)

Purpose The purpose of this study is to explore and analyze corporate social responsibility (CSR) as a helpful tool in solving significant societal concerns in countries where there is a greater desire for social and economic growth, such...

DOAJ Open Access (DOAJ) DOI: 10.53909/rms.05.01.0196

Natural Language Processing of Nursing Notes

Shazia A. Mitha, Jessica Schwartz, Mollie Hobensack, Kenrick Cato et al. • CIN Computers Informatics Nursing (2022)

Natural language processing includes a variety of techniques that help to extract meaning from narrative data. In healthcare, medical natural language processing has been a growing field of study; however, little is known about its use in n...

OPENALEX Open Access DOI: https://doi.org/10.1097/cin.0000000000000967 PMC: 11499545

Face recognition with Bayesian convolutional networks for robust surveillance systems

Umara Zafar, Mubeen Ghafoor, Tehseen Zia, Ghufran Ahmed et al. • EURASIP Journal on Image and Video Processing (2019)

Abstract Recognition of facial images is one of the most challenging research issues in surveillance systems due to different problems including varying pose, expression, illumination, and resolution. The robustness of recognition method st...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13640-019-0406-y

Machine learning for advanced energy materials

Liu Yun, Oladapo Christopher Esan, Zhefei Pan, Liang An • Energy and AI (2021)

The screening of advanced materials coupled with the modeling of their quantitative structural-activity relationships has recently become one of the hot and trending topics in energy materials due to the diverse challenges, including low su...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.egyai.2021.100049