Titlebook: Artificial Intelligence; First International Arif Ahmed Sk,Turki Turki,Subhabrata Barman Conference proceedings 2022 The Editor(s) (if app

Monsoon

書(shū)目名稱Artificial Intelligence影響因子(影響力)




書(shū)目名稱Artificial Intelligence影響因子(影響力)學(xué)科排名




書(shū)目名稱Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Artificial Intelligence網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Artificial Intelligence被引頻次




書(shū)目名稱Artificial Intelligence被引頻次學(xué)科排名




書(shū)目名稱Artificial Intelligence年度引用




書(shū)目名稱Artificial Intelligence年度引用學(xué)科排名




書(shū)目名稱Artificial Intelligence讀者反饋




書(shū)目名稱Artificial Intelligence讀者反饋學(xué)科排名

思想上升

Ergots

可觸知

Some Determinants of Endogenous Growth search method is used in this problem. Here, the comparison has been made between PID controller tuned with different standard classical methods along with fuzzy PID (FPID) and proposed genetic algorithm based adaptive PID control (GAPID) technique. It has been found that better response is obtaine

有花

Anterior

暫時(shí)過(guò)來(lái)

省略

Anomaly Detection in?IoT Using Extended Isolation Forestators, including accuracy, precision, recall, and F1-Score, are used to validate the performance of our suggested system. We get an Accuracy Score of 93% and F1-Score of 96% through the experiment. In addition, the most important top 12 features have a more substantial impact on correct prediction f

進(jìn)入

A Novel Dimensionality Reduction Strategy Based on?Linear Regression with?a?Fine-Pruned Decision Treon error. The effect of the complexity parameter on the number of nodes and the depth of the tree is discussed. The fine pruned tree is trained and validated on the CIC-IDS2017 dataset. The proposed work’s results are compared to the Random Forest(RF), Logistic Regression (LR) and Gradient boosting(

meditation