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 ...

With the widespread application of deep learning and Convolutional Neural Networks (CNN) in image classification, how to effectively improve model performance and reduce its complexity has become a ...

To address the shortcomings of classical chaotic time series in image encryption algorithms in terms of low complexity, fewer control parameters, and limited range of value domains, this paper ...

With the continuous improvement of deep learning technology, it is crucial to improve the accuracy of model prediction. Existing classification prediction models often struggle with low classification ...

According to the World Report by WHO on Hearing published in March, 2021, nearly 2.5 billion people will be deaf or hard of hearing by the year 2050. In 2020, the uncorrected hearing loss in the world ...

Eighteen years, multiple countries, and countless disappointments—that is the back‑story of a couple who, at last, are expecting their first child. Their turning‑point came not from another round of ...

When a learned model has high accuracy under familiar settings (internal testing) and a big drop in accuracy under slightly different circumstances (external testing) we suspect it is using shortcuts ...

Thus, our results are suggesting that the algorithm’s performance is statistically not significant. This suggested study method results states that it has been determined that the produced Novel CNN ...