Breast cancer incidence has been rising steadily during the past few decades. It is the
second leading cause of death in women. If it is diagnosed early, there is a good possibility …

Neural networks present characteristics where the results are strongly dependent on the
training data, the weight initialisation, and the hyperparameters chosen. The determination …

Abstract The Internet of Things (IoT) is adding the advancement in the technology for
creating smart environments to facilitate humans for various works. The technological …

The paper considers missing data management task in smart systems. The main strategies
of missing data management in handling missing data are analyzed. A prediction method for …

Demand forecasting is a scientific and methodical assessment of future demand for a critical
product. The effective Demand Forecast Model (DFM) enables pharmaceutical companies to …

Nowadays, 5G network infrastructures are being developed for various industrial IoT
(Internet of Things) applications worldwide, emerging with the IoT. As such, it is possible to …

Sensors, as an important part of structural health monitoring systems (SHMSs), will be
abnormal sometimes due to their deterioration or environment effect, which will result in data …

Emerging applications of IoT (the Internet of Things), such as smart transportation, health,
and energy, are envisioned to greatly enhance the societal infrastructure and quality of life of …

An effective solution of the prediction tasks requires the high accuracy of the result with
minimal resource and time costs for the operation of the chosen algorithm. In cases when …

Time-series analysis and forecasting problems are generally considered as some of the
most challenging and complicated problems in data mining. In this work, we propose a new …