Filter and Controller Identification for Stability Analysis of a Grid-Connected 3-Phase PV Inverter
A photovoltaic inverter (PVI) may enter operational instability region based on grid supply
conditions, such as the presence of voltage waveform distortions and high grid impedance …
conditions, such as the presence of voltage waveform distortions and high grid impedance …
[HTML][HTML] Mine-first association rule mining: An integration of independent frequent patterns in distributed environments
B Mudumba, MF Kabir - Decision Analytics Journal, 2024 - Elsevier
Association rule mining is a widely used data mining technique in various domains. It
enables the identification of trends, frequent patterns, and relationships among the data …
enables the identification of trends, frequent patterns, and relationships among the data …
Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms
AI and machine learning are increasingly often applied in the medical industry. The COVID‐
19 epidemic will start to spread quickly over the planet around the start of 2020. At hospitals …
19 epidemic will start to spread quickly over the planet around the start of 2020. At hospitals …
[HTML][HTML] Analysis of computational intelligence approaches for predicting disease severity in humans: Challenges and research guidelines
G Narasimhan, A Victor - Journal of Education and Health …, 2023 - journals.lww.com
The word disease is a common word and there are many diseases like heart disease,
diabetes, breast cancer, COVID-19, and kidney disease that threaten humans. Data-mining …
diabetes, breast cancer, COVID-19, and kidney disease that threaten humans. Data-mining …
[HTML][HTML] Toward artificial intelligence (AI) applications in the determination of COVID-19 infection severity: considering AI as a disease control strategy in future …
M Ghaderzadeh, F Asadi, N Ramezan Ghorbani… - Iranian Journal of Blood …, 2023 - ijbc.ir
Background: To guarantees patient survival and reduce the consumption of pharmaceutical
and medical resources, an accurate diagnosis and assessment of COVID-19 severity are …
and medical resources, an accurate diagnosis and assessment of COVID-19 severity are …
Predicting covid-19 positive cases and analysis on the relevance of features using shap (shapley additive explanation)
MNS Choudary, VB Bommineni, G Tarun… - … on Electronics and …, 2021 - ieeexplore.ieee.org
COVID-19 and related infections are on the surge around the world, posing new threats to
our society. There is a clear motivation to implement protective measures that aid in the …
our society. There is a clear motivation to implement protective measures that aid in the …
Challenges and implications of digital transformation in higher education: a student perspective from Pakistan and Saudi Arabia
COVID-19-related lockdowns have changed the human work practices in all spheres of life
including the higher education sector. Conventional classrooms have had to be transformed …
including the higher education sector. Conventional classrooms have had to be transformed …
Evaluation of risk factors for falls in the elderly based on a real data set using Bayesian networks
G Sihag - 2023 - theses.hal.science
Falls are a significant problem for the elderly, with identification and evaluation of risk factors
being essential to reduce fall rates. However, fall prevention requires a pedagogical and …
being essential to reduce fall rates. However, fall prevention requires a pedagogical and …
An efficient synthetic minority oversampling technique-based ensemble learning model to detect COVID-19 severity
The COVID-19 pandemic has highlighted the importance of accurately predicting disease
severity to ensure timely intervention and effective allocation of healthcare resources, which …
severity to ensure timely intervention and effective allocation of healthcare resources, which …
COVID-19 Mortality Prediction Using Machine Learning Techniques
L Schirato, K Makina, D Flanders… - … on Digital Health …, 2021 - ieeexplore.ieee.org
The COVID-19 pandemic sparked our research interest to explore and design a predictive
model through Machine Learning algorithms to determine risk and mortality of COVID-19 …
model through Machine Learning algorithms to determine risk and mortality of COVID-19 …