Titlebook: Congress on Smart Computing Technologies; Proceedings of CSCT Jagdish Chand Bansal,Harish Sharma,Antorweep Chakr Conference proceedings 20

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填滿

infinite

,Case Study: ANPR Utilized for?Smart Parking, processing. The model is trained on photos of car license plates of different countries, with a detection accuracy rate of 96.75%. This model can be utilized for any task which requires ANPR, e.g. smart parking [.].

misshapen

A Convolution Neural Network Model to Classify Handwritten Digits from Skeletons,with convolution neural network mechanism. Experimental results were conducted on handwritten digit database of MNIST and error rate; classification accuracy was computed. A classification rate of 98.1% and 1.9% of error rate are observed on the subsamples of handwritten digit data of MNIST.

朋黨派系

Behavior Intrusion Detection System Using SVM and CNN,trusions. To assess our approach, we used an auto-encoder for feature reduction and two models for CNN and SVM evaluation. The experimental study on the dataset demonstrates that the suggested model can produce reliable results. On the UNSW-NB15 dataset, our model gets 99.58% and 99.66% accuracy for SVM and CNN, respectively.

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PRISE

Stephen Glaister,June Burnham,Tony Traversthe same tasks. The paper made use of three classification algorithms which were random forest, decision tree and K-nearest neighbors (KNN). Data cleaning, preprocessing and feature extraction techniques were employed to enhance the overall performance of the system. Random forest gave a testing acc