The expanding role of artificial intelligence in collaborative robots for industrial applications: A systematic review of recent works
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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
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 …
death in the world. Early-stage prediction can save the lives by undergoing appropriate …