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[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 …
Assessment and evaluation of different machine learning algorithms for predicting student performance
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 …
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 …
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 …
Heart disease prediction using distinct artificial intelligence techniques: performance analysis and comparison
Consolidated efforts have been made to enhance the treatment and diagnosis of heart
disease due to its detrimental effects on society. As technology and medical diagnostics …
disease due to its detrimental effects on society. As technology and medical diagnostics …
[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 …
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 …
[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 …
[HTML][HTML] Prediction of high strength ternary blended concrete containing different silica proportions using machine learning approaches
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 …
Advanced plant disease segmentation in precision agriculture using optimal dimensionality reduction with fuzzy c-means clustering and deep learning
Analysis of hyperspectral imagery is a critical aspect of remote sensing in precision
agriculture, for which effective dimensionality reduction (DR) strategies for the inherent …
agriculture, for which effective dimensionality reduction (DR) strategies for the inherent …