Existing e-health monitoring systems mainly operate in isolation from the requirements of
modern healthcare institutions. They do not include optimized techniques which learn the …

Forecasting energy demand is the basis for sustainable energy development. In recent
years, the new discovery of East Africa's energy has completely reversed the energy …

Breast Cancer forecasting is an important matter for governments, health sector investors,
and other related companies. Although there are different forecasting models, choosing the …

Abstract Internet of Things (IoT) is a constantly growing paradigm that promises to
revolutionize healthcare applications and could be associated with several other …

The application of classification techniques based on machine learning approaches to
analyze the behavior of network users has interested many researchers in the last years. In …

An interesting formaldehyde (HCHO) gas sensor is fabricated using a sputtered indium–
gallium–zinc–oxide (IGZO) layer decorated with gold (Au) nanoparticles (NPs). Based on the …

Aims: Nitrate can enter water bodies through using chemical fertilizers and discharging the
effluents from municipal and industrial sewage treatment plants. As a superiority to the …

Amaç: 2018-2023 yılları arasında RRT tedavisi görmesi gerekecek hasta sayısını tahmin
etmektir. Yöntem: Tahmin etme sürecinde genel olarak zaman serilerinin tahmin …

This systematic literature review presents the computational methods of human behaviour
prediction research from Pentland and Liu's seminal 1999 paper on human behaviour …

Background: Bipolar disorder is a severe, chronic and disabling mental disorder. The
purpose of this study was to forecast the number of hospitalized patients with bipolar …