Segmentation method for subject processing the multispectral satellite images based on fuzzy clustering and preliminary non-linear filtering is represented. Three fuzzy clustering algorithms, namely Fuzzy C-means, GustafsonKessel, and Gath-Geva have been utilized. The experimental results obtained using these algorithms with and without preliminary nonlinear filtering to segment multispectral L...

This paper simulates four typical defects in GIS for PD detection, and uses the pulse, amplitude, phase and number of PD to form the three-dimensional PQN matrix. Based on the PQN, three two-dimensional distributions of Hqmax~Phi, Hqmean~Phi and Hn~Phi can be achieved. Then the new G-K clustering method is introduced to separate the four different defects according to the parameters of Sk, Ku, ...

Fuzzy time series forecasting methods do not require constraints found in conventional approaches. In addition, due to uncertainty that they contain, many time series to be forecasted should be considered as fuzzy time series. Fuzzy time series forecasting models consist of three steps as fuzzification, identification of fuzzy relations and defuzzification. Although most of the time series enco...

The problem of attempted suicide is attracting much attention because of the great increase in the incidence of these cases in recent years. Anyone who is clinically involved can have no doubt about the increase although, rather surprisingly, the Ministry of Health have no reliable statistics (Ministry of Health, 1967, personal communication). Those statistics which are available have been coll...

Electric arc furnaces (EAFs) are intended for the recycling of steel scrap. One more important variables in process is tapping temperature steel. Due to nature process, continuous measurement melt complicated and requires sophisticated measuring equipment; therefore, most EAFs, separate samples taken several times before tapped, verify whether within prescribed range. The measurements obtained ...

1.1. Problem definition: Neuro-Fuzzy Approach in Electrical Load Forecasting Modeling and identification of electrical load processes are essential for the operation and also planning of a utility either for a company or for a country. Electrical load forecasting is needed because people intend to make important decision on generating power generators, load switching, purchasing strategy and al...

This article studies the fuzzy cluster-based point set registration (FuzzyPSReg). First, we propose a new metric based on Gustafson–Kessel (GK) clustering to measure alignment of two clouds. Unlike c-means (FCM) in our previous work, GK-based includes orientation properties clouds, thereby providing more information for registration. We then develop quality assessment metric, which is sensitive...

Three-dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN-LSTM-3D method is proposed for 3D lung cancer from 2D CT images. Our consists three phases: segmentation, tumour reconstruction. Lung segmentation done using snake optimisation followed by Gustafson-Kessel (GK) clustering method. The outputs GK (2D image...