Medical imaging systems installed in different hospitals and labs generate images in bulk,
which could support medics to analyze infections or injuries. Manual inspection becomes …

The growing trend in the number and severity of auto insurance claims creates a need for
new methods to efficiently handle these claims. Machine learning (ML) is one of the methods …

Computation offloading is one of the most important problems in edge computing. Devices
can transmit computation tasks to servers to be executed through computation offloading …

With the emergence of COVID-19, mobile health applications have increasingly become
crucial in contact tracing, information dissemination, and pandemic control in general. Apps …

In this paper, a hybrid evolutionary intelligent system is proposed for dimensionality
reduction and tuning the learnable parameters of artificial neural network (ANN) that can …

Nowadays, a series of social problems caused by cardiovascular diseases are becoming
increasingly serious. Accurate and efficient classification of arrhythmias according to an …

The numerous security loopholes in the design and implementation of many IoT devices
have rendered them an easy target for botnet attacks. Several approaches to implement …

Timely and accurate depth estimation of a shallow waterway can improve shipping efficiency
and reduce the danger of waterway transport accidents. However, waterway depth data …

Dynamic programming (DP) and Markov Decision Process (MDP) offer powerful tools for
formulating, modeling, and solving decision making problems under uncertainty. In real …

Artificial neural network (ANN)-based methods belong to one of the most growing research
fields within the artificial intelligence ecosystem, and many novel contributions have been …