[HTML][HTML] Environmental modelling of CO concentration using AI-based approach supported with filters feature extraction: A direct and inverse chemometrics-based …
This study explored the first direct and inverse modelling of Carbon monoxide (CO)
concentration by applying three different computational approaches namely, Least Square …
concentration by applying three different computational approaches namely, Least Square …
Novel hybridized computational paradigms integrated with five stand-alone algorithms for clinical prediction of HCV status among patients: A data-driven technique
The emergence of health informatics opens new opportunities and doors for different
disease diagnoses. The current work proposed the implementation of five different stand …
disease diagnoses. The current work proposed the implementation of five different stand …
Validation of Instruments for the Improvement of Interprofessional Education through Educational Management: An Internet of Things (IoT)-Based Machine Learning …
Educational management is the combination of human and material resources that
supervises, plans, and responsibly executes an educational system with outcomes and …
supervises, plans, and responsibly executes an educational system with outcomes and …
Quantitative Forecasting of Malaria Parasite Using Machine Learning Models: MLR, ANN, ANFIS and Random Forest
Malaria continues to be a major barrier to socioeconomic development in Africa, where its
death rate is over 90%. The predictive power of many machine learning models—such as …
death rate is over 90%. The predictive power of many machine learning models—such as …
Implementation of Artificial Intelligence Models for Enhanced Cardiovascular Disease Prediction and Risk Assessments
Cardiovascular disease (CVD) also known as heart disease is one of the most common
causes of death globally, accounting for over 17 million deaths per year, which represents …
causes of death globally, accounting for over 17 million deaths per year, which represents …
[HTML][HTML] Machine learning models for predicting residual malaria infections using environmental factors: A case study of the Jazan region, Kingdom of Saudi Arabia
Background Malaria is a global public health problem affecting more than 100 countries.
Meteorological factors on the other hand represent a major driving force behind malaria …
Meteorological factors on the other hand represent a major driving force behind malaria …
[PDF][PDF] CHEMOMETRICS FEASIBILITY FOR MODELLING CHROMATOGRAPHIC BEHAVIOR OF DIAZEPAM USING LINEAR AND NON-LINEAR TECHNIQUES: A …
MA Degm, MMS Ahmed, ZM Zaydi, MAK Ibrahim… - 2024 - abjournals.org
Modern data mining employs the use of statistics with other tools, ideas and approaches from
computer science, databas Page 1 Advanced Journal of Science, Technology and …
computer science, databas Page 1 Advanced Journal of Science, Technology and …