The expanding role of artificial intelligence in collaborative robots for industrial applications: A systematic review of recent works

A Borboni, KVV Reddy, I Elamvazuthi, MS AL-Quraishi… - Machines, 2023 - mdpi.com
A collaborative robot, or cobot, enables users to work closely with it through direct
communication without the use of traditional barricades. Cobots eliminate the gap that has …

A Comprehensive Review on Heart Disease Risk Prediction using Machine Learning and Deep Learning Algorithms

VVR Karna, VR Karna, V Janamala… - … Methods in Engineering, 2024 - Springer
Cardiovascular diseases claim approximately 17.9 million lives annually, with heart attacks
and strokes accounting for over 80% of these deaths. Key risk factors, including …

Lysophospholipids are associated with outcomes in hospitalized patients with mild traumatic brain injury

AM Gusdon, JPJ Savarraj, JB Redell, A Paz… - Journal of …, 2024 - liebertpub.com
Mild traumatic brain injury (mTBI) accounts for 70–90% of all TBI cases. Lipid metabolites
have important roles in plasma membrane biogenesis, function, and cell signaling. As TBI …

Learning-based techniques for heart disease prediction: a survey of models and performance metrics.

PC Bizimana, Z Zhang, M Asim… - Multimedia Tools & …, 2024 - search.ebscohost.com
Heart disease (HD) is a major threat to human health, and the medical field generates vast
amounts of data that doctors struggle to effectively interpret and use. Early prediction and …

A metaheuristic-enabled training system for ensemble classification technique for heart disease prediction

PT Sheeba, D Roy, MH Syed - Advances in Engineering Software, 2022 - Elsevier
Various conditions that affect the muscles, blood arteries, heart, valves, or internal electrical
pathways that regulate muscle contraction are referred to as" heart diseases." This work …

Interpretable ensemble imbalance learning strategies for the risk assessment of severe‐low‐level wind shear based on LiDAR and PIREPs

A Khattak, PW Chan, F Chen, H Peng - Risk Analysis, 2024 - Wiley Online Library
The occurrence of severe low‐level wind shear (S‐LLWS) events in the vicinity of airport
runways poses a significant threat to flight safety and exacerbates a burgeoning problem in …

Comparative review on the machine learning algorithms for medical data

S Chippalakatti, CH Renumadhavi… - 2022 6th International …, 2022 - ieeexplore.ieee.org
The ML algorithm is subset of Artificial Intelligence which uses precise, probabilistic, and
modernized method to extract data from a large and complicated data collection. Everyday …

Antimicrobial Activity Classification of Imidazolium Derivatives Predicted by Artificial Neural Networks

A Lorenc, A Badura, M Karolak, Ł Pałkowski… - Pharmaceutical …, 2024 - Springer
Purpose This study assesses the Multilayer Perceptron (MLP) neural network,
complemented by other Machine Learning techniques (CART, PCA), in predicting the …

Prediction of Heart Disease Risk Using Machine Learning with Correlation-based Feature Selection and Optimization Techniques

KVV Reddy, I Elamvazuthi, A Abd Aziz… - 2021 7th …, 2021 - ieeexplore.ieee.org
Heart disease, one type of cardiovascular illness, is the leading cause of mortality for many
individuals around the world. Early prediction of heart disease can help people to endure …

Rotation forest ensemble classifier to improve the cardiovascular disease risk prediction accuracy

KVV Reddy, I Elamvazuthi, A Abd Aziz… - … on Information and …, 2021 - ieeexplore.ieee.org
Heart disease risk prediction is very important as it is one of the primary causes of sudden
death in the world. Early-stage prediction can save the lives by undergoing appropriate …