The classification task usually works with flat and batch learners, assuming problems as
stationary and without relations between class labels. Nevertheless, several real-world …

3D scene classification has become an important research field in photogrammetry, remote
sensing, computer vision and robotics with the widespread usage of 3D point clouds. Point …

The developing of deep learning systems that used for chronic diseases diagnosing is
challenge. Furthermore, the localization and identification of objects like white blood cells …

Abstract The Support Vector Machine (SVM) method is one of the popular machine learning
algorithms as it gives high accuracy. However, like most machine learning algorithms, the …

Recent computer vision and deep learning breakthroughs have improved road safety by
automatically classifying traffic signs. This research uses CNNs to classify traffic signs to …

We present the conceptual framework of a soccer win–lose prediction system (SWLPS)
focused on passing distribution data (which is a representative characteristic of soccer) …

Automatic data processing represents the future for the development of any system,
especially in scientific research. In this paper, we describe one of the automatic classification …

In ICLR's (2018) best paper" On the Convergence of Adam and Beyond", the author points
out the shortcomings in Adam's convergence proof, proposes an AMSGRAD algorithm that …

High-precision temperature control technology is currently more and more important in
industrial thermal processing systems. In this paper, an RNN controller with integral …

Wearable multi-physiological parameter monitoring technology can realize non-intrusive,
non-invasive daily health monitoring of the human body. It has the characteristics of …