Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review
In recent times, technological advancement boosts the desire of utilizing the autonomous
Unmanned Aerial Vehicle (UAV) in both civil and military sectors. Among various UAVs, the …
Unmanned Aerial Vehicle (UAV) in both civil and military sectors. Among various UAVs, the …
A hybrid neuro-fuzzy inference system-based algorithm for time series forecasting applied to energy consumption prediction
The accuracy of the prediction of buildings' energy consumption is being tackled using
existing artificial intelligence techniques. However, there is a lack of effort on the …
existing artificial intelligence techniques. However, there is a lack of effort on the …
Similarity matching of wafer bin maps for manufacturing intelligence to empower industry 3.5 for semiconductor manufacturing
CY Hsu, WJ Chen, JC Chien - Computers & Industrial Engineering, 2020 - Elsevier
Yield improvement is increasingly important as advanced fabrication technologies are
complicated and interrelated for semiconductor manufacturing. Wafer bin maps (WBM) …
complicated and interrelated for semiconductor manufacturing. Wafer bin maps (WBM) …
Learning data streams online—An evolving fuzzy system approach with self-learning/adaptive thresholds
D Ge, XJ Zeng - Information sciences, 2020 - Elsevier
Recognizing the weakness of the existing evolving fuzzy systems (EFSs) where the
selection and determination of thresholds for the structure and parameter learning are …
selection and determination of thresholds for the structure and parameter learning are …
Hybridization of fuzzy and hard semi-supervised clustering algorithms tuned with ant lion optimizer applied to Higgs boson search
S Mjahed, K Bouzaachane… - … in Engineering & …, 2020 - ingentaconnect.com
Hybridization of Fuzzy and Hard Semi-Supervised Clustering Algorithms Tuned with Ant Lion
Optimizer Applied to Higgs Boson Searc Page 1 echT Press Science Computer Modeling in …
Optimizer Applied to Higgs Boson Searc Page 1 echT Press Science Computer Modeling in …
Outlier detection and robust plane fitting for building roof extraction from LiDAR data
Individual roof plane extraction from Light Detection and Ranging (LiDAR) point-cloud data
is a complex and difficult task because of unknown semantic characteristics and …
is a complex and difficult task because of unknown semantic characteristics and …
Identification and simplification of TS fuzzy neural networks based on incremental structure learning and similarity analysis
This paper proposes a novel identification method and a simplification scheme for TS fuzzy
neural networks, which consists of two steps. The first step refers to the structure design …
neural networks, which consists of two steps. The first step refers to the structure design …
New aspects of integrity levels in automotive industry-cybersecurity of automated vehicles
The spread of connected vehicles is expected to multiply the effects of the growing
penetration of cyberspace in our life, and with this it remarkably influences the vulnerability …
penetration of cyberspace in our life, and with this it remarkably influences the vulnerability …
Subtractive clustering and phase correlation similarity measure for endmember extraction
Abstract Target identification using Remote Sensing techniques saves time, cost and
reduces difficulties in field investigation. The endmember is a reference spectral response of …
reduces difficulties in field investigation. The endmember is a reference spectral response of …
E-DBSCAN: An evidential version of the DBSCAN method
In later years, data have grown enormously and dealing with them to extract information has
become a necessity. Data mining is a subfield of both computer science and statistics that …
become a necessity. Data mining is a subfield of both computer science and statistics that …