Results 251 to 260 of about 26,195,333 (320)

Dual-Channel Scale-Adaptive Clutter Suppression with Confidence-Derived Gating for Microwave Inspection of Curved Radar-Absorbing Materials. [PDF]

Sensors (Basel)
Fang Y, Wang J, Cui W, Wei X, Liu B, Li Y, Chen Z.   +6 more
europepmc   +1 more source

Single-cell RNA sequencing data processing using cloud-based serverless computing. [PDF]

GigaByte
Hung LH, Nasam N, Biju C, Lloyd W, Yeung KY.   +4 more
europepmc   +1 more source

Uncertainty Analysis of a Multi-Sensor Fusion Measurement Chain for Blade Collision Warning in Coaxial Twin-Rotor Helicopters. [PDF]

Sensors (Basel)
Zheng W, Qiu Z, Dong Z, Hu W, Qiu Y, Qiu Z.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Construction of Universal Approximators for Multi-Input Single-Output Hierarchical Fuzzy Systems

IEEE Transactions on Fuzzy Systems, 2023
As an important branch of fuzzy systems, a hierarchical fuzzy system (HFS) has a wide range of applications in system science, medical science, and engineering.
Chang-Le Sun, Haitao Li
semanticscholar   +3 more sources

End-to-end Beamforming Design Based on Pilot in Multiuser Multi-Input-Single-Output System

2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
This paper proposes a deep learning-based end-to-end system for the beamforming problem of time-division duplexing (TDD) multiuser multiple input single output (MUMISO) system under power constraints.
Zhen Liu, Shouyi Yang, Yang Li, Yan-Ping Lu   +3 more
semanticscholar   +2 more sources

A New Variable Forgetting Factor-Based Bias-Compensation Algorithm for Recursive Identification of Time-Varying Multi-Input Single-Output Systems With Measurement Noise

IEEE Transactions on Instrumentation and Measurement, 2020
This article proposes a new variable forgetting factor (VFF) bias-compensated recursive least-squares (BCRLS) algorithm for the recursive identification of complex time-varying multi-input single-output (MISO) systems with measurement noise. It extends a
S. Chan, Jian-Qiang Lin, Xu Sun, Hai-Jun Tan, Wei-Chao Xu   +4 more
semanticscholar   +3 more sources

Adaptive output feedback dynamic surface control of multi-input single-output systems

Proceeding of the 11th World Congress on Intelligent Control and Automation, 2014
In this paper, an adaptive dynamic surface control scheme is proposed for a class of multi-input single-output (MISO) nonlinear systems with unmodeled dynamics.
J. Mao, Tian-Ping Zhang, Qikun Shen
semanticscholar   +2 more sources

A novel hybrid data-driven model for multi-input single-output system simulation

Neural Computing and Applications, 2016
Artificial neural network (ANN)-based data-driven model is an effective and robust tool for multi-input single-output (MISO) system simulation task. However, there are several conundrums which deteriorate the performance of the ANN model. These problems include the hard task of topology design, parameter training, and the balance between simulation ...
Guang-Yuan Kan, Xiao-Yan He, Ji-Ren Li, L. Ding, Da-Wei Zhang, Tian-Jie Lei, Yang Hong, Ke Liang, Depeng Zuo, Zhenxin Bao, Mengjie Zhang   +10 more
semanticscholar   +2 more sources

Algebraic Formulation and Application of Multi-Input Single-Output Hierarchical Fuzzy Systems With Correction Factors

IEEE Transactions on Fuzzy Systems, 2023
Haitao Li, Changle Sun
exaly   +3 more sources