ABSTRACT
Predicting a student's performance can help educational institutions to support the students in improving their academic performance and providing high-quality education. Creating a model that accurately predicts a student's performance is not only difficult but challenging. Before the pandemic situation students were more accustomed to offline i.e., physical mode of learning. As covid-19 took over the world the offline mode of education was totally disturbed. This situation resulted into the new beginning towards online mode of teaching over the Internet. In this article, these two modes are analysed and compared with reference to students’ academic performances. The article models a predicting academic performance of students before covid i.e., physical mode and during Covid i.e., online mode, to help the students to improve their performances. The proposed model works in two steps. First, two sets of students’ previous semester end results (SEE) i.e., after offline mode and after online mode, are collected and pre-processed using normalizing the performances in order to improving the efficiency and accuracy. Secondly, Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to predict the academic result performances in both learning modes. Three membership functions gaussian (Gausmf), triangular (Trimf) and gausian-bell (Gbellmf) of ANFIS are used to generate the fuzzy rules for the prediction process proposed in this paper. © 2022, International Journal of Advanced Computer Science and Applications. All Rights Reserved.
ABSTRACT
The Novel corona virus is the pandemic disease which transmit from animal to man. It firstly found in Wuhan in china. Thevirus is also named as SARS-cov2. It affects the respiratory system of the man and it transmitted through the inhalation droplets of infected person or contact with infected person without proper safety. The period of incubation is from 2 to 14 days. The symptoms found in mild, moderate, severe. high grade fever, sorethroat,dry cough, fatigue, breathlessness and diarrhoea. In adverse it leads to the ARDS and death. Some cases found mild symptoms and asymptomatic but these are the carriers. Comorbid patient has high risk of the infection and need the ICU man-agement. cases are diagnosed with the throat swab, Chest X ray, CT of chest and blood investigation, prothrombin time, total leucocyte count, ESR count. The patient is diagnosed with the RT-PCRmethod. treatment measure includes antiviral therapy like chloroquine, Lopinavir/Ritonavir, immune modulators some Ayurvedic management, isolation, with social and phycological support. Proper sanitation, hand hygiene, mask can prevent from infection. The Virus spread throughout the world very rapidly, this virus badly disturbed the world and death of the people as well as the health workers. The care and active management are necessary for cease the transmission. © International Journal of Research in Pharmaceutical Sciences.