The rapid development of mobile technologies has made social media a vital platform for
people to express their feelings and opinions. Understanding the public opinions can be …

Malware is one of the most common and severe cyber threats today. Malware infects
millions of devices and can perform several malicious activities including compromising …

Recent experiments show that deep bidirectional long short-term memory (BLSTM) recurrent
neural network acoustic models outperform feedforward neural networks for automatic …

Artificial Intelligence is a technique of modeling a computer, a computer administered-robot,
in the indistinguishable manner the acute humans reflect. Machine Learning is a mechanism …

Real-time and accurate on-branch fruit recognition in an uncontrolled/unstructured
environment of orchards could facilitate Precision Horticulture (PH) practices. These …

The global environment has become more polluted due to the rapid development of
industrial technology. However, the existing machine learning prediction methods of air …

In this work we introduce a new multiscale artificial neural network based on the structure of
H-matrices. This network generalizes the latter to the nonlinear case by introducing a local …

A framework for traffic congestion prediction and visualization based on machine learning
and Fuzzy Comprehensive Evaluation named MF-TCPV is proposed in this paper. The …

Sea surface temperature (SST) is a crucial factor that affects global climate and marine
activities. Predicting SST at different temporal scales benefits various applications, from …

Introduction Acute kidney injury (AKI) is common among hospitalized patients and has a
significant impact on morbidity and mortality. Although early prediction of AKI has the …