Spectrum Sensing using Soft Computing Skills

Classification of Ultra-high Resolution Images using Soft Computing

The main objective of this paper is to use a computational intelligence algorithm for preparing a mapping map that categorizes different patterns of identification of infected areas and changes in radiation pollution. In this paper, the use of the fuzzy inference system has been proposed to determine the degree of radiation contamination in the regions. The study uses ultra-high resolution spec...

Investigating electrochemical drilling (ECD) using statistical and soft computing techniques

In the present study, five modeling approaches of RA, MLP, MNN, GFF, and CANFIS were applied so as to estimate the radial overcut values in electrochemical drilling process. For these models, four input variables, namely electrolyte concentration, voltage, initial machining gap, and tool feed rate, were selected. The developed models were evaluated in terms of their prediction capability with m...

Review of Cognitive Spectrum Sensing Of Secondary User by Soft Computing

Subjective Radio innovation is being used to give a system for using the range more beneficially, range detecting is crucial to this application. The limit of Cognitive Radio frameworks to get the opportunity to spare zones of the radio range and to keep watching the range to ensure that the Cognitive Radio framework does not cause any undue obstacle depends completely on the range detecting pa...

Pothole Detection by Soft Computing

Subject- Potholes on roads are regarded as serious problems in the transportation domain and ignoring them leads to the increase of accidents, traffic, vehicle fuel consumption and waste of time and energy. As a result, pothole detection has attracted researchers’ attention and different methods have been presented for it up to now. Background- The major part of previous research is based on i...

Churn Prediction using Soft Computing