Titlebook: Smart and Innovative Trends in Next Generation Computing Technologies; Third International Pushpak Bhattacharyya,Hanumat G. Sastry,Rashmi

patriarch

野蛮

Comparative Performance Analysis of PMSM Drive Using ANFIS and MPSO Techniqueserformance. A model of PMSM drive is simulated under various operating conditions to analyze its performance in terms of transient response specification such as rise time, settling time, peak overshoot and peak time. The results obtained give much better performance as compared to conventionally us

外面

laxative

Development of an Automated Water Quality Classification Model for the River Gangamodels are developed named J48 (C4.5), Random Forest, Random Tree, LMT (logistic model tree) and Hoeffding Tree. These classifiers were analyzed to determine the most accurate classifier model for the present dataset by evaluating their performance via measures like Accuracy, Kappa Statistics, Recal

有帮助

COUCH

Efficient Artificial Bee Colony Optimizationphase and it help remove premature convergence. And last Exploring Strategy is applied on scout bee phase to remove stagnation and improve the optimal searching ability. The EABC is compared over 21 test benchmark functions and there results are compared with basic version of ABC, its significant va

勉强

Ankita Rajawat,Nirmala Sharma,Harish Sharma-weighted sequences with fat saturation to allow better visualization or highlighting of various inflammatory changes in the spine. Radiologists, neuroradiologists, neurosurgeons, orthopedists, and rehabilitati978-3-319-09447-2

Mast-Cell

Patrimony

Comparison of Runtime Performance Optimization Using Template-MetaprogrammingMP). We pick up common mathematical operations, creating a run time code of them along with a compile time based equivalent code done through TMP. The two set of codes are then benchmarked on the basis of their execution time and a bar-graph is generated to compare the TMP and non-TMP programs.

阻塞