Poongodi M, Malviya Mohit, Hamdi Mounir, Rauf Hafiz Tayyab, Kadry Seifedine, Thinnukool Orawit
College of Science and EngineeringHamad Bin Khalifa University, Qatar Foundation Doha Qatar.
Department of CTO 5GWipro Ltd. Bengaluru 560035 India.
IEEE Access. 2021 Jul 2;9:97906-97928. doi: 10.1109/ACCESS.2021.3094400. eCollection 2021.
Different epidemics, specially Coronavirus, have caused critical misfortunes in various fields like monetary deprivation, survival conditions, thus diminishing the overall individual fulfillment. Various worldwide associations and different hierarchies of government fraternity are endeavoring to offer the necessary assistance in eliminating the infection impacts but unfortunately standing up to the non-appearance of resources and expertise. In contrast to all other pandemics, Coronavirus has proven to exhibit numerous requirements such that curated appropriation and determination of innovations are required to deal with the vigorous undertakings, which include precaution, detection, and medication. Innovative advancements are essential for the subsequent pandemics where-in the forthcoming difficulties can indeed be approached to such a degree that it facilitates constructive solutions more comprehensively. In this study, futuristic and emerging innovations are analyzed, improving COVID-19 effects for the general public. Large data sets need to be advanced so that extensive models related to deep analysis can be used to combat Coronavirus infection, which can be done by applying Artificial intelligence techniques such as Natural Language Processing (NLP), Machine Learning (ML), and Computer vision to varying processing files. This article aims to furnish variation sets of innovations that can be utilized to eliminate COVID-19 and serve as a resource for the coming generations. At last, elaboration associated with future state-of-the-art technologies and the attainable sectors of AI methodologies has been mentioned concerning the post-COVID-19 world to enable the different ideas for dealing with the pandemic-based difficulties.
不同的流行病,特别是新冠病毒,在诸如经济匮乏、生存条件等各个领域都造成了严重的不幸,从而降低了总体的个人幸福感。各种国际组织和不同层级的政府机构都在努力提供必要的援助以消除疫情影响,但不幸的是面临着资源和专业知识短缺的问题。与所有其他大流行病不同,新冠病毒已被证明有诸多需求,因此需要精心调配和确定创新手段来应对包括预防、检测和治疗在内的艰巨任务。创新进展对于后续的大流行病至关重要,在后续大流行病中,未来的挑战确实可以在一定程度上得到应对,从而更全面地促进建设性解决方案的产生。在本研究中,分析了未来主义和新兴的创新,以改善新冠疫情对公众的影响。需要推进大数据集,以便能够使用与深度分析相关的广泛模型来对抗新冠病毒感染,这可以通过将自然语言处理(NLP)、机器学习(ML)和计算机视觉等人工智能技术应用于不同的处理文件来实现。本文旨在提供可用于消除新冠疫情的各种创新,并为后代提供资源。最后,关于新冠疫情后的世界,提到了与未来最先进技术以及人工智能方法可应用的领域相关的阐述,以激发应对基于疫情的困难的不同思路。