In weather forecasting, we predict atmospheric conditions for specific location and time.
Meteorology is used to plot atmospheric change for the desire location by collecting …

Abstract Machine learning algorithm-based applications have been deployed for supporting
the internet of things (IoT) and web search engines without losing accuracy in order to satisfy …

Convolutional neural networks have been proposed as an approach for classifying data
corresponding to labeled and unlabeled datasets. The fast-growing data empowers deep …

In recent years, the performance of deep neural networks (DNNs) is significantly improved,
making them suitable for many application fields, such as autonomous driving, advanced …

As recent neural networks are being improved to be more accurate, their model's size is
exponentially growing. Thus, a huge number of parameters requires to be loaded and stored …

Deep neural networks (DNNs) have been employed to different devices as a popular
machine learning algorithm (ML) owing to deploy the Internet of Things (IoT), data mining in …

Deep neural networks are widely used in many artificial intelligence applications. They have
demonstrated state-of-the-art accuracy on many artificial intelligence tasks. For this high …

In recent years, machine learning (ML) and, more noticeably, deep learning (DL), have be-
come increasingly ubiquitous. Applications of these technologies are being seen in many …