EnsembleNet: An improved COVID19 Prediction Model using Chest X-Ray Images

This paper presents an improved COVID19 prediction model using chest X-Ray images with evolutionary algorithm based ensemble learning. The proposed model uses the transfer learning approach with state-of-the-art pre-trained models for training in isolation. Following the fine-tuning of the models, ensemble of the models is used for inferencing. The weight of the ensemble models are learned by the Differential Evolutional (DE) algorithm. The proposed model exploits the importance of each model in COVID19 inferencing. The proposed model is experimented on COVIDx-CXR2 dataset. Our study shows that the proposed EnsembleNet model outperforms the individual state-of-the-art models in terms of generalization accuracy. © 2022 IEEE.

An Improved ISEIRD Model for COVID-19 Trend Simulations

This paper presents an improved SEIRD model (ISEIRD)for COVID-19 Trend Predictions by incorporating birth rate, natural death rate and re-positive rate. The proposed method is evaluated on 448 days of data (March 10, 2020May30, 2021).Our study shows that the ISEIRD model outperforms in simulating the covid-19 infections. The Python simulated results are included in the paper to validate the scheme. © 2021 IEEE.

The Salesian College of India and Salesian University of Bolivia in the context of the pandemic

The pandemic caused by COVID-19 has forced educational institutions to close doors in an attempt to contain the spread of the infection. However, education did not stop, it instead found the opportunity to change face-to-face classes to virtual format and enter to a new paradigm in education. At the same time, this migration from face-toface to virtual has brought challenges to higher education institutions around the world, among them, the salesian institutions of higher learning. The Salesian mission around the world is to promote and open access to higher education especially for young people with economic and social disadvantages;in this context, the challenges for providing virtual education are greater and require additional efforts to ensure success and continuity in higher education. This study aims to describe the experiences of the Salesian College of India and the Salesian University of Bolivia in the context of the pandemic. Although the Salesian College and USB are geographically located on two different continents, they have both been affected by the pandemic and have faced similar challenges in ensuring the continuity of higher education. At the same time, this situation raises challenges in terms of the management software used in teaching, Internet access and the availability of devices among students. © 2020, Estudios Pedagogicos. All Rights Reserved.