Cargando…
A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences
The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published articles discussing the effect of COVID and SARS on the social sciences from 2003...
Autores principales: | Shaukat, Kamran, Alam, Talha Mahboob, Hameed, Ibrahim A., Luo, Suhuai, Li, Jiaming, Aujla, Gagandeep Kaur, Iqbal, Farhat |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691717/ https://www.ncbi.nlm.nih.gov/pubmed/33294517 http://dx.doi.org/10.1016/j.dib.2020.106520 |
Ejemplares similares
-
An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset
por: Alam, Talha Mahboob, et al.
Publicado: (2022) -
A Proposed Framework for Early Prediction of Schistosomiasis
por: Ali, Zain, et al.
Publicado: (2022) -
A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning
por: Batool, Dania, et al.
Publicado: (2022) -
Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review
por: Devnath, Liton, et al.
Publicado: (2022) -
Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography
por: Devnath, Liton, et al.
Publicado: (2022)