Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum …
Today the topic of incremental sheet forming (ISF) is one of the most active areas of sheet
metal forming research. ISF can be an essential alternative to conventional sheet forming for …
metal forming research. ISF can be an essential alternative to conventional sheet forming for …
Machine unlearning in gradient boosting decision trees
Various machine learning applications take users' data to train the models. Recently
enforced legislation requires companies to remove users' data upon requests, ie, the right to …
enforced legislation requires companies to remove users' data upon requests, ie, the right to …
Lidom: a disease risk prediction model based on LightGBM applied to nursing homes
With the innovation of technologies such as sensors and artificial intelligence, some nursing
homes use wearable devices to monitor the movement and physiological indicators of the …
homes use wearable devices to monitor the movement and physiological indicators of the …
Multi-feature map integrated attention model for early prediction of type 2 diabetes using irregular health examination records
D Wu, Y Mei, Z Sun, H Duan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Type 2 diabetes (T2D) is a worldwide chronic disease that is difficult to cure and causes a
heavy social burden. Early prediction of T2D can effectively identify high-risk populations …
heavy social burden. Early prediction of T2D can effectively identify high-risk populations …
Dmnet: A personalized risk assessment framework for elderly people with type 2 diabetes
Type 2 diabetes is the most common chronic disease for the elderly people. This disease is
difficult to be cured and causes continued medical expenses. The early and personalized …
difficult to be cured and causes continued medical expenses. The early and personalized …
Multi-task gradient boosting
Abstract Gradient Boosting Machines (GBMs) have revealed outstanding proficiency in
various machine learning applications, such as classification and regression. Gradient …
various machine learning applications, such as classification and regression. Gradient …
[HTML][HTML] A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data
Venous thromboembolism (VTE) is the world's third most common cause of vascular
mortality and a serious complication from multiple departments. Risk assessment of VTE …
mortality and a serious complication from multiple departments. Risk assessment of VTE …
Retrieval-based gradient boosting decision trees for disease risk assessment
In recent years, machine learning methods have been widely used in modern electronic
health record (EHR) systems, and have shown more accurate prediction performance on …
health record (EHR) systems, and have shown more accurate prediction performance on …
High-Order Optimization of Gradient Boosted Decision Trees
Gradient Boosted Decision Trees (GBDTs) are dominant machine learning algorithms for
modeling discrete or tabular data. Unlike neural networks with millions of trainable …
modeling discrete or tabular data. Unlike neural networks with millions of trainable …
Parametric Effects of Single Point Incremental Sheet Forming
SM Najm - 2022 - search.proquest.com
Abstract Incremental Sheet Forming (ISF) has attracted attention due to its flexibility as far as
its forming process and complexity in the deformation mode are concerned. Single Point …
its forming process and complexity in the deformation mode are concerned. Single Point …