Assessment and evaluation of different machine learning algorithms for predicting student performance
YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
achievement is one of the metrics used in rating top‐quality universities. Despite the large …
[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
offering advanced tools and methodologies that promise to revolutionize patient outcomes …
A Decisive Metaheuristic Attribute Selector Enabled Combined Unsupervised‐Supervised Model for Chronic Disease Risk Assessment
Advanced predictive analytics coupled with an effective attribute selection method plays a
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …
pivotal role in the precise assessment of chronic disorder risks in patients. Traditional …
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
communication. Earlier diagnosis of ASD from brain image is necessary for reducing the …
[HTML][HTML] A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection
A sustainable healthcare focuses on enhancing and restoring public health parameters
thereby reducing gloomy impacts on social, economic and environmental elements of a …
thereby reducing gloomy impacts on social, economic and environmental elements of a …
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease
Background and objectives Parkinson's Disease (PD) is a devastating chronic neurological
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
condition. Machine learning (ML) techniques have been used in the early prediction of PD …
[HTML][HTML] Prediction of high strength ternary blended concrete containing different silica proportions using machine learning approaches
TV Nagaraju, S Mantena, M Azab, SS Alisha… - Results in …, 2023 - Elsevier
The most often utilized material in construction is concrete. High plasticity, good economy,
safety, and exceptional durability are a few of its characteristics. Concrete is a type of …
safety, and exceptional durability are a few of its characteristics. Concrete is a type of …
[PDF][PDF] State of charge estimation of lead acid battery using neural network for advanced renewable energy systems
Abstract The Solar Dryer Dome (SDD), an independent energy system equipped with
Artificial Intelligence to support the drying process, has been developed. However …
Artificial Intelligence to support the drying process, has been developed. However …
Optimized adaptive tree seed Kalman filter for a diabetes recommendation system—bilevel performance improvement strategy for healthcare applications
Over the past 2 decades, recommendation systems have made remarkable changes and
achievements in the field of disease prevention and control. Building an accurate …
achievements in the field of disease prevention and control. Building an accurate …
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …