Classification of crop based on macronutrients and weather data using machine learning techniques

Analysis of DFIG-STATCOM P2P control action using simulated annealing techniques

“…19 shows the real and reactive power exchanged at pcc of STATCOM and GSC under SLG. Here it can be noticed that the real power exchange occurs three times in the present simulation and that of the reactive power has been changed by 4 times [49] , this is because of the increase in LVRT.

Figure 17 Simulated annealing for SLG Fault.

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“…If the value of the function is greater than the currently known best value, the point will sometimes be accepted and sometimes rejected. The point acceptance is based on the value of the probability density function of the Boltzmann-Gibbs distribution [49] , [55] , [56] .…”

Classification and Analysis of Weather Images Using Machine Intelligent Based Approach

“…Many research works have been carried out related to the WIs processing and analysis [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Some of the works are described as follows.…”

“…Xiao et al [3] focused on the deep convolutional neural network (CNN) for the classification of weather phenomenon. Dash et al [4] emphasized on ML mechanism for the classification of crop on the basis of macronutrients and weather data. Schultz et al [5] focused on ML mechanism to classify and understand the weather impact on airport performance.…”

“…Weather information [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] is an important concern throughout the globe. It has the capability of lowering the weather related losses and enhancing societal benefits such as the protection of life, health, property, etc., if the weather information is shared among the entire human society at the right time properly.…”