Results 141 to 150 of about 85,077 (292)
Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics
Advanced Science, EarlyView.This study leverages the HAVOK framework to model long‐term, nonlinear attractor dynamics underlying epileptiform activity and seizure risk in epilepsy patients. By identifying key forcing mechanisms driving chaotic transitions, the findings improve seizure risk forecasting over multi‐day cycles and provide a pathway for personalized, data‐driven ...
Richard E Rosch +4 more
wiley +1 more source
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees [PDF]
, 2021 Armstrong Aboah +5 more
openalex +1 more source
Advanced Science, EarlyView.This review explores the cutting‐edge development of bio‐integrated flexible electronics for real‐time hemodynamic monitoring in cardiovascular healthcare. It covers key physiological indicators, innovative sensing mechanisms, and materials considerations. This paper highlights the application of both invasive and non‐invasive devices in cardiovascular
Ke Huang, Zhiqiang Ma, Bee Luan Khoo
wiley +1 more source
Machine learning for inference: using gradient boosting decision tree to assess non-linear effects of bus rapid transit on house prices [PDF]
, 2021 Linchuan Yang +3 more
openalex +1 more source
Autonomous Self‐Evolving Research on Biomedical Data: The DREAM Paradigm
Advanced Science, EarlyView.DREAM is a fully autonomous, self‐evolving biomedical research system capable of independently formulating scientific questions, performing analyses, and making new discoveries without human intervention. Validated in biomedical studies, DREAM significantly outperforms human scientists in research efficiency, accelerating scientific discovery and ...
Luojia Deng +3 more
wiley +1 more source
On learning large output domain decision trees
, 1995 Bibliography: p. 80-81.
openaire +3 more sources
A Neural Network Decision Tree for Learning Concepts from EEG Data
, 2005 Vitaly Schetinin
openalex +2 more sources
Advanced Science, EarlyView.The research indicates that dual energy CT scanning can accurately predict the stroke source and clinical outcomes by analyzing thrombus heterogeneity. Based on histopathological analysis of thrombus components, these scans are better able to display thrombus details than standard CT scans, which is helpful for the development of visual navigation ...
Jingxuan Jiang +15 more
wiley +1 more source
Advanced Science, EarlyView.Salt stress endangers coastal cereal crops, requiring resilient crop solutions. This study employs machine learning (KANMB) to analyze multi‐omics data from halophyte Spartina alterniflora, revealing 226 salt‐stress biomarkers and linking them to tolerance pathways. The MYB gene SaMYB35 regulates flavonoid biosynthesis under salinity.
Shoukun Chen +7 more
wiley +1 more source
Risk Prediction with Regression in Global Software Development using Machine Learning Approach: A Comparison of Linear and Decision Tree Regression [PDF]
, 2021 Asim Iftikhar +5 more
openalex +1 more source