Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Two supervised machine learning methods, among them Support Vector Machine (SVM) and Artificial Neural Networks (ANN), are employed in Network Intrusion Detection to identify whether the data ...

This study uses a hybrid deep learning technique to classify asphalt, pavement, and unpaved roads. In real-world circumstances, image data noise can damage image categorization algorithms. This issue ...

Moreover, the accuracy rate of the proposed model will astonish anyone at 88.3%. When we add it up, it is evident that the CNN-LSTM model, which we use to recognize umpire actions automatically, is an ...

Recently Convolution Neural Network (CNN) has become very popular in AI applications. CNN requires a lot of computational resources that has significant impact on chip size. In this paper we proposed ...