Results 151 to 160 of about 14,713 (239)

Hybrid Quantum Kernel Support Vector Machine for Network Intrusion Detection Using NISQ‐Compatible Quantum Circuits

Advanced Quantum Technologies, Volume 9, Issue 10, October 2026.
A hybrid quantum kernel support vector machine is proposed to detect network intrusions with NISQ devices. The proposed framework combines classical preprocessing with fidelity‐based quantum feature mapping, achieving enhanced accuracy and robustness against cybersecurity threats and leveraging modern benchmark datasets, offering a glimpse of the ...
Mohammad Rafeek Khan, Malik Zaib Alam, Muneer Ahmad, Mohsin Iftikhar, Mohiuddin Ali Khan   +4 more
wiley   +1 more source

Development and performance evaluation of variable width raised bed former with optimal parameters predicted by RBF neural network-PSO technique. [PDF]

Sci Rep
Sawant CP, Gaikwad BB, Magar AP, Khadatkar A, Kumar N, Rao KVR, Chaudhary VP.   +6 more
europepmc   +1 more source

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

International Journal of Robust and Nonlinear Control, Volume 36, Issue 15, Page 7193-7213, October 2026.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni   +1 more
wiley   +1 more source

Optimization of cable tension in large-span cable-stayed bridges based on RBF neural network and improved sea-gull algorithm. [PDF]

Sci Rep
Zhao D, Wang H, Yu M.
europepmc   +1 more source

Robust Functional Basis Neural Network Method With the Normalization

Statistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 5, October 2026.
ABSTRACT This paper aims to develop a robust nonlinear model utilizing neural networks for function‐on‐function regression problems. The proposed framework is designed to enhance robustness in regression modeling by minimizing the impact of outliers in the response variable during model training.
Wooseok Jeong, Donghyuk Lee, Jeffrey S. Morris, Hojin Yang   +3 more
wiley   +1 more source

Global Fast Terminal Fuzzy Sliding Mode Control of Quadrotor UAV Based on RBF Neural Network. [PDF]

Sensors (Basel)
Chen W, Ding Y, Weng F, Liang C, Li J.
europepmc   +1 more source

Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation.

Comput Intell Neurosci, 2021
Guo F, Huang Q.
europepmc   +1 more source

Time‐Varying Operation Policies With GRU‐Based Parameterization for Adaptive Multi‐Objective Reservoir Operation Under Climate Change

Water Resources Research, Volume 62, Issue 10, October 2026.
Abstract Designing reservoir operation policies that can adapt to non‐stationary hydroclimatic conditions is a major challenge for water resources management under climate change. This study develops an adaptive dynamic operation policy (ADOP), in which Gaussian radial basis functions (RBFs) are coupled with a gated recurrent unit (GRU)‐based ...
Yiming Wei, Renchao Wang, Lu Zhuo, Zengchuan Dong   +3 more
wiley   +1 more source

Grain storage temperature prediction based on chaos and enhanced RBF neural network. [PDF]

Sci Rep
Sun F, Gong C, Lyu Z.
europepmc   +1 more source

Dimensionality Reduction Techniques for Analyzing Tsunami Simulations in Hazard Assessment and Forecasting Applications

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract A wide selection of linear and non‐linear dimensionality reduction techniques is evaluated on synthetic tsunami data that is the basis for tsunami hazard assessment and computational forecasting. The data were computed from earthquake rupture forecasts (ERFs) supplying initial generation conditions and a linear long‐wave Green's function ...
Eric L. Geist, Tom Parsons
wiley   +1 more source