Forecasting time series has acquired immense research importance and has vast
applications in the area of air pollution monitoring. This work attempts to investigate the …

Bitcoin has rapidly gained much attention by media, investors and scholars, since it is widely
used for investment purposes as an alternative to regular currencies. The price of bitcoin is …

Emergency department (ED) is the most crowded entity in hospitals, because it is the access
point of almost all patients looking for care without beforehand appointment. Accordingly …

The selection of a pharmaceutical supplier is a critical task within a hospital. Dealing with the
wrong supplier may plague the overall healthcare supply chain, especially patient's life …

The Q-matrix, which specifies the relationship between items and attributes, is a crucial
component of cognitive diagnostic models (CDMs). A precisely specified Q-matrix allows for …

Sentiment Analysis (SA), commonly known as opinion mining, during last couple of years, it
becomes the fastest growing research areas in computer science. Conventionally, it helps to …

The supply chain operations reference (SCOR) is a model to improve, and communicate
supply chain flows within an organization and with its suppliers and customers. In this paper …

Forecasting is one of the most important tasks in temporal data mining. Actually, most of
forecasting applications require performing multistep forecasts. Thus, what is the appropriate …

SARS-CoV-2 is known as Covid-19 has been spread in all world since end of 2019.
Indonesia, including South Kalimantan has detected first Covid-19 in March 2020. This …

In dieser Arbeit wird untersucht, inwiefern Zeitreihen mithilfe von neuronalen Netzen
vorhergesagt werden können. Dafür werden die Netz-Architekturen FFNN, LSTM …