Linear regressive weighted Gaussian kernel liquid neural network for brain tumor disease prediction using time series data
Abstract A brain tumor is an abnormal growth of cells within the brain or surrounding tissues, which can be either benign or malignant. Brain tumors develop in various regions of the brain, each affecting different functions such as movement, speech, and vision, depending on their location. Early pr...
Saved in:
| Main Authors: | Firoz Khan, Sardar Irfanullah Amanullah, Shitharth Selvarajan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-89249-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
COMPARING GAUSSIAN AND EPANECHNIKOV KERNEL OF NONPARAMETRIC REGRESSION IN FORECASTING ISSI (INDONESIA SHARIA STOCK INDEX)
by: Yuniar Farida, et al.
Published: (2022-03-01) -
COMPARING GAUSSIAN KERNEL AND QUADRATIC SPLINE OF NONPARAMETRIC REGRESSION IN MODELING INFECTIOUS DISEASES
by: Amanda Adityaningrum, et al.
Published: (2023-12-01) -
Kernel Density Estimated Linear Regression
by: Roshan Kalpavruksha, et al.
Published: (2025-05-01) -
Application of the joint clustering algorithm based on Gaussian kernels and differential privacy in lung cancer identification
by: Hang Yanping, et al.
Published: (2025-05-01) -
Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting
by: Hui-Dong Yin, et al.
Published: (2025-01-01)