Fuzzy based pooling in convolutional neural network for image classification
This paper introduces a novel pooling method namely fuzzy based pooling for image
classification. Herein, a pooling method for bolstering the performance of conventional …
classification. Herein, a pooling method for bolstering the performance of conventional …
An application of interval type-2 fuzzy model based control system for generic aircraft
This paper presents a design application of Interval Type-2 (IT2) Takagi–Sugeno (T–S)
Fuzzy Model Based (FMB) control system for generic aircraft. The IT2 T–S FMB flight control …
Fuzzy Model Based (FMB) control system for generic aircraft. The IT2 T–S FMB flight control …
Aerodynamic modeling of attas aircraft using Mamdani fuzzy inference network
This article presents aerodynamic modeling of the fixed-wing aircraft using the Mamdani
fuzzy inference network (MFIN). A Mamdani fuzzy inference system with a Gaussian …
fuzzy inference network (MFIN). A Mamdani fuzzy inference system with a Gaussian …
Fuzzy inference network with mamdani fuzzy inference system
In the modern era, the amount of data generated is increasing at an exponential rate. The
generated data has both numeric as well as linguistic form. Learning or extracting relevant …
generated data has both numeric as well as linguistic form. Learning or extracting relevant …
Angle-of-attack and angle-of-sideslip estimation and complementary filter design for civil aircraft
S Zhai, G Li, P Huang, M Hou, Q Jia - ISA transactions, 2024 - Elsevier
Abstract Angle-of-Attack (AOA) and angle-of-sideslip (AOS) are critical flight parameters
affecting the flight safety, and their accuracy and reliability directly impact the operating …
affecting the flight safety, and their accuracy and reliability directly impact the operating …
Fuzzy Modeling Framework Using Sector Non-Linearity Techniques for Fixed-Wing Aircrafts
P Brusola, S Garcia-Nieto, JV Salcedo, M Martinez… - Aerospace, 2024 - mdpi.com
This paper presents a mathematical modeling approach utilizing a fuzzy modeling
framework for fixed-wing aircraft systems with the goal of creating a highly desirable …
framework for fixed-wing aircraft systems with the goal of creating a highly desirable …
People counting with overhead camera using fuzzy-based detector
This paper presents a novel fuzzy-based detector for overhead people counting in real-time
using RGB camera. The approach, first, extracts the foreground from the subsequent frames …
using RGB camera. The approach, first, extracts the foreground from the subsequent frames …
Aerodynamic parameter modeling using TS fuzzy systems from flight data
This paper presents the application of fuzzy logic theory for aerodynamic modeling of the
fixed wing aircraft. For the demonstration purpose, yawing moment control and stability …
fixed wing aircraft. For the demonstration purpose, yawing moment control and stability …
A type-2 fuzzy systems approach for clustering-based identification of a TS regression model
The use of clustering for structure identification in TS fuzzy models has been demonstrated
to be very effective. More so, in recent times fuzzy c-regression models that use Type-2 fuzzy …
to be very effective. More so, in recent times fuzzy c-regression models that use Type-2 fuzzy …
Fuzzy based investment portfolio management
In the present business environment, investment is an essential part carried out at both
organizational as well as individual level. To obtain maximum return with minimum risk …
organizational as well as individual level. To obtain maximum return with minimum risk …