Finite-time-convergent support vector neural dynamics for classification
M Liu, Q Jiang, H Li, X Cao, X Lv - Neurocomputing, 2025 - Elsevier
Support vector machine (SVM) is a popular binary classification algorithm widely utilized in
various fields due to its accuracy and versatility. However, most of the existing research …
various fields due to its accuracy and versatility. However, most of the existing research …
FPGA Implementation of MLP, 1D-CNN and TTTratio algorithms for Neutron/Gamma-ray Discrimination using Plastic Scintillator
Pulse shape discrimination algorithms, such as Tailto-Total integral ratio (TTT ratio) have
been commonly integrated on edge devices for online neutron/gamma discrimination using …
been commonly integrated on edge devices for online neutron/gamma discrimination using …
Characterization of radioactivity signals by embedded machine learning
A Hachem - 2024 - theses.hal.science
In various applications, the classification of radiation detector signals is of crucial
importance. This thesis focuses on a specific and complex use case, namely the …
importance. This thesis focuses on a specific and complex use case, namely the …
Corrections to “Multilayer Perception Model Versus Charge Comparison Method for Neutron/Gamma Discrimination in Plastic Scintillator According to Sampling …
The code used to prepare the dataset in the above article contained a minor error. Different
values for the standard deviation of the created Gaussian window were employed to clean …
values for the standard deviation of the created Gaussian window were employed to clean …