Coronavirus disease (Covid-19) caused millions of confirmed cases and thousands deaths worldwide since first appeared in China. Forecasting methods are essential to take precautions early control the spread this rapidly expanding pandemic. Therefore, research, a new customized hybrid model consisting Back Propagation-Based Artificial Neural Network (BP-ANN), Correlated Additive Model (CAM) Auto...

Electricity price forecasting is becoming more important in everyday business of power utilities. Good forecasting models can increase effectiveness of producers and buyers playing roles in electricity market. Price is also a very important element in investment planning process. This paper presents a forecasting technique to model day-ahead spot price using well known ARIMA model to analyze an...

Statistical evidence suggests that the autocorrelation function of a compressed-video sequence is better captured by (k) = e ? p k than by (k) = k ? = e ? log k (long-range dependence) or (k) = e ?k (Markovian). A video model with such a correlation structure is introduced based on the so-called M=G=1 input processes. Though not Markovian, the model exhibits short-range dependence. Using the qu...

Traffic congestion research is on the rise, thanks to urbanization, economic growth, and industrialization. Developed countries invest a lot of money in collecting traffic data using Radio Frequency Identification (RFID), loop detectors, speed sensors, high-end light, GPS. However, these processes are expensive, infeasible, non-scalable for developing with numerous non-motorized vehicles, proli...

Since gold prices influence international economic and monetary systems, numerous studies have been conducted to forecast prices. Nonetheless, employing the linear relationship method usually fail explain change in pattern of price. This study introduces a new paradigm that incorporates association rules long short-term memory (LSTM) as nonlinear-based method. For simulation, proposed was analy...

The impact of global remittance inflows on numerous macro and microeconomic parameters has long piqued the interest researchers, policymakers, academics. Remittances have always been vital to Turkey's development as a recipient country. However, this trend recently changed, Turkey is currently receiving significantly less remittance, reduction in well noted its economic performance. This study ...

With the increasing competition in the telecommunications industry, the operators try their best to increase telecom income via various measures, one of which is to set an amount of income as a goal to make the encouragement. Since accurate forecast of income plays an important role in income target setting, this paper builds a time series Autoregressive Integrated Moving Average Model (ARIMA) ...

Motor alteration is an important aspect of the elusive schizophrenia disorder, manifested both throughout the various phases of the disease and as a response to treatment. Tracking of patients’ movement, and especially in a closed ward hospital setting, can therefore shed light on the dynamics of the disease, and help alert staff to possible deterioration and adverse effects of medication. In t...

Predicting daily occupancy is extremely important for the revenue management of individual hotels. However, daily occupancy can fluctuate widely and is difficult to forecast accurately based on existing forecasting methods. In this paper, Ensemble Empirical Mode Decomposition (EEMD)—a novel method—is introduced, and an individual hotel is chosen to test the effectiveness of EEMD in combination ...