[HTML][HTML] Ai in thyroid cancer diagnosis: Techniques, trends, and future directions

Y Habchi, Y Himeur, H Kheddar, A Boukabou, S Atalla… - Systems, 2023 - mdpi.com
Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

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 …

Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson's disease

M Junaid, S Ali, F Eid, S El-Sappagh… - Computer Methods and …, 2023 - Elsevier
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 …

Autism detection of mri brain images using hybrid deep cnn with dm-resnet classifier

S Jain, HK Tripathy, S Mallik, H Qin, Y Shaalan… - IEEE …, 2023 - ieeexplore.ieee.org
The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social
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

MI Hossain, MH Maruf, MAR Khan, FS Prity… - Iran Journal of Computer …, 2023 - Springer
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 …

[PDF][PDF] State of charge estimation of lead acid battery using neural network for advanced renewable energy systems

RG Widjaja, M Asrol, I Agustono, E Djuana, C Harito… - Emerg. Sci. J., 2023 - academia.edu
Abstract The Solar Dryer Dome (SDD), an independent energy system equipped with
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

S Mishra, HK Thakkar, P Singh… - Computational …, 2022 - Wiley Online Library
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 …

[HTML][HTML] A sustainable IoHT based computationally intelligent healthcare monitoring system for lung cancer risk detection

S Mishra, HK Thakkar, PK Mallick, P Tiwari… - Sustainable Cities and …, 2021 - Elsevier
A sustainable healthcare focuses on enhancing and restoring public health parameters
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

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 …

Advanced plant disease segmentation in precision agriculture using optimal dimensionality reduction with fuzzy c-means clustering and deep learning

MA Bhatti, Z Zeeshan, MS Syam… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Analysis of hyperspectral imagery is a critical aspect of remote sensing in precision
agriculture, for which effective dimensionality reduction (DR) strategies for the inherent …