Titlebook: International Conference on Innovative Computing and Communications; Proceedings of ICICC Deepak Gupta,Ashish Khanna,Ajay Jaiswal Conferenc

orthopedist

Functional

VOK

輕浮思想

Comparative Analysis of Transfer Learning and Attention-driven Memory-based Learning for COVID-19 Fttention-based bi-directional LSTM model. The achieved training accuracy by BERT is 86% which is much higher than the accuracy achieved by attention-based Bi-LSTM. BERT precision, recall, and F-score are 0.82, 0.79, and 0.80, respectively, which shows that BERT can detect COVID-19 fake news better t

煩擾

cardiopulmonary

A Novel Technique to Detect Inappropriate Content Accessed by Children on Smartphone,ged four to six and seven and eight years were found to use smartphones less with 128.37 and 151.17?min on an average, respectively, and get exposed to inappropriate content less frequently. Children in all the age groups got exposed to inappropriate graphical content more frequently as compared to

Abjure

弓箭

Lipoprotein(A)

Ardent

,Process-Based Multi-level Homogeneous Ensemble Predictive Model for Analysing Student’s Academic Pet can extract useful information from massive amounts of data after being processed by a computer. The most difficult problem in predictive modelling is identifying the most effective prediction algorithms that are also accurate enough to be useful. Therefore, a multi-level homogeneous ensemble pred