questions as well as solved question papers found at the end of the book thus, you can easily get appropriate practices for all the concepts covered to access hands-on online gate study material such as the gate syllabus , previous year papers, gate preparation books and so on, you can ...
Aoun and EI Afia [28] solved the problem of aircraft position assignment under uncertain conditions based on the Markov decision process and used random parameters to represent fluctuations in flight operations. Another paper by these authors [29] took into account that aircraft could be delayed, ...
Since it is the high-order equation, the result can be numerically solved with the help of mathematical software such as Matlab. In this section, the analytical model of the turn-off of SiC MOSFETs is given, considering the nonlinear parameters. The gate-source voltage is described by a ...
There will be three sections in the question paper including General aptitude Engineering Mathematics Subject selected by the candidates (Instrumentation Engineering) Engineering Mathematics carried 13% of the total marks, General Aptitude carried 15% of the total marks, and Instrumentation Engineering subje...
You don’t need to log in to use GATE Rank Predictor. Our top educators have solved the GATE 2024 paper and we match your answers with our solutions. Along with that we will also analyze and provide you with a summary of your GATE 2024 attempt. Note: Make sure you provide the original...
Possible problems with the dynamic range here can be solved by re-calculations to the logarithmic scale and its further mapping to the scale of truth levels. Another useful tool here was partially discussed in [13,18] and refers to several correlated variables, describing a large dynamic range ...
In COVID-19 infection segmentation, the class imbalance problem can be solved using the loss function as an optimization method. In this study, a combination of the weighted cross-entropy loss function and Dice loss was used as the region loss function to combine their usefulness for the ...
Each test function was solved 30 times by these algorithms. We set the population size and the dimension of the variable to 30. We set the largest value of iterations to 400. The evaluation metrics of the algorithm are the worst value, the best value, the average value, and the variance...
Therefore, based on the problem to be solved in this paper, we choose an ML architecture that combines a CNN and LSTM to fully utilize the advantages of these two algorithms. In this section, the CNN, LSTM, and CNN-LSTM algorithms are given, and the network architecture is built. In ...