Machine learning algorithms for predicting SARS-CoV-2 (COVID-19)–a comparative analysis

LW Mary, SAA Raj - 2021 2nd International Conference on …, 2021 - ieeexplore.ieee.org
The new public health crisis threatens the entire world. The infectious virus SARS-CoV-2
(COVID-19) is a new virus that has spread rapidly across the world. Coronavirus spreads …

Analysis of flood risk prediction using different machine learning classifiers: A study of predicting flood risk in rural areas, bangladesh

MR Ahmmed, J Monir… - 2022 13th International …, 2022 - ieeexplore.ieee.org
Natural disasters affect our nation almost every year. In particular for our nation's rural
communities like Sylhet and Sunamganj, the flood is one of them and the most deadly …

Control architecture of resilient interconnected microgrids (RIMGs) for railway infrastructures

HA Gabbar, AM Othman, K Singh - Energy Procedia, 2017 - Elsevier
This paper is aiming at the design of Resilient Interconnected Microgrids (RIMGs) for railway
infrastructures to achieve economical and high performance energy supply. The proposed …

Caracterización de las propiedades tensiles de un material compuesto laminado Epoxi-Carbono empleado en la fabricación de un monoplaza tipo Fórmula SAE

JI Fajardo, MN Villa, JA Pozo, DR Urgilés - Enfoque UTE, 2019 - scielo.senescyt.gob.ec
El presente artículo analiza las propiedades tensiles de un material compuesto polimérico
reforzado con fibras de carbono empleado en la fabricación del monoplaza para …

[引用][C] Performance and Emission characteristics of single cylinder CRDI engine operating on cardanol oil and diesel fuel.

N Rohan, P Muchakhandi, NG Nithin Kumar…