Titlebook: Computational Intelligence in Data Science; 4th IFIP TC 12 Inter Vallidevi Krishnamurthy,Suresh Jaganathan,Saraswat Conference proceedings

混亂生活

有機體

HEED

Considerations for Crossing the Continuum) a transparent list of suppliers that delivers food and medicines to the home quarantined patients. Our proposed model i) builds an end-to-end tracking system for COVID patients ii) enables patients to choose their preferred hospital by checking the availability of beds and iii) guarantees a fraud free vaccination system.

蝕刻

A Scalable Data Pipeline for?Realtime Geofencing Using Apache Pulsarhe Pulsar - an open-source Publish/Subscribe messaging system that has both stream processing and light-weight computational capabilities. Further, an implementation of the proposed data pipeline for a specific real-world case study is presented to demonstrate the envisaged advantages of the same.

束縛

Continual Learning for Classification Problems: A Surveyr those state-of-art deep neural networks which learn from stationary data distributions, this would be a drawback. In this survey, we summarize different continual learning strategies used for classification problems which include: Regularization strategies, memory, structure, and Energy-based models.

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古董

1868-4238 nce in Data Science, ICCIDS 2021, held in Chennai, India, in March 2021...The 20 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers cover topics such as computational intelligence for text analysis; computational intelligence for image and video analys

Narcissist

The Foundational Components of Strategyles are framed on the basis of the Marathi grammar. The corpus is of 635 Marathi sentences written in considering variations, for better evaluation of the POS tagger. Total 5715 words has been tagged from in which 1918 words unigram tagger and 106 words are tagged by the bigram tagger. The overall accuracy of POS tagger is 79.34%.

attenuate

Strategic Social Media Managementg model tried to solve the drawbacks of the standard Hamming model by applying the stemming approach to achieve derivative lexical similarity and applying the space padding to deal with unequal lengths of the texts.

Commemorate

Rule Based Combined Tagger for Marathi Textles are framed on the basis of the Marathi grammar. The corpus is of 635 Marathi sentences written in considering variations, for better evaluation of the POS tagger. Total 5715 words has been tagged from in which 1918 words unigram tagger and 106 words are tagged by the bigram tagger. The overall accuracy of POS tagger is 79.34%.