揭穿真相
发表于 2025-3-30 12:01:37
Conference proceedings 2021S 2021, held in Nashik, India, in April 2021.*.The 103 full papers were carefully reviewed and selected from 781 submissions. Part II is devoted to data sciences, organizing principles, medical technologies, computational linguistics etc..*The conference was held virtually due to the COVID-19 pandemic.
Presbycusis
发表于 2025-3-30 15:48:25
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一致性
发表于 2025-3-30 19:27:18
Social Aspects of the COVID-19 Pandemic,meaning it damages the respiratory apparatus. This life-threatening virus proved to be a nightmare as it affected millions of people which mainly included children and the middle-aged. It became incredibly important to get vaccinated against this infection as it could save lives. A Couple of vaccine
斜
发表于 2025-3-31 00:38:56
https://doi.org/10.1007/978-3-030-70179-6across the known classes is skewed. It affects the performance of robust machine learning algorithms. The performance evaluation parameters used to measure the machine learning models are also very important in the case of class imbalanced datasets. This paper critically evaluates the performance of
填满
发表于 2025-3-31 03:36:01
Matthew Smallman-Raynor,Andrew D. Cliffven economy, any information dissemination is an important social process which creates huge amount of big data. Many times due to the lack of a healthy partnership between the practitioner of computer science, and social sciences, optimal utilization of the hidden patterns and meanings from the big
RAFF
发表于 2025-3-31 05:03:18
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Antarctic
发表于 2025-3-31 12:07:04
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离开可分裂
发表于 2025-3-31 15:03:54
Ageing, Vulnerability and COVID-19,ter opportunity and advantage to leverage the benefits of distributed ledgers in storing and securing patient medical records. The Government of India (GoI) is also very keen on digitization in addition to their wider adoption of blockchain technology to serve the citizens by ensuring their privacy
方舟
发表于 2025-3-31 17:36:43
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逢迎春日
发表于 2025-3-31 23:34:18
Ageing, Vulnerability and COVID-19,nalyze the documents and categorize them into groups based on pre-defined tags. In this paper, a framework has been devised to extract features from the text documents. The documents are preprocessed, tagged and then the features are extracted. Preprocessing includes removal of stop words, punctuati