The supervised and unsupervised deep representation features have been adopted and
verified their effective roles separately in the foreign exchange rate prediction (FERP) …

Information and communication technology (ICT)-based products have a significant effect on
increasing levels of waste electrical and electronic equipment (WEEE) or electronic waste (e …

Prediction of crop yields is very helpful in ensuring food security, planning harvest
management (storage, transport, and labor), and performing market planning. However, in …

The global foreign exchange (FX) market represents a critical and sizeable component of
our financial system. It is a market where firms and investors engage in both speculative …

Deep learning based hybrid gold index (XAU/USD) direction forecast model Page 1 Journal of
the Faculty of Engineering and Architecture of Gazi University 38:2 (2023) 1117-1128 Deep …

Bu çalışmada, duygu analizi yöntemiyle EUR/USD hareket yönünü tahmin etmek için
geliştirilen Uzun-Kısa Vadeli Bellek (LSTM) Modeli sunulmaktadır. Çalışmada veri setlerinin …

In this study, we attempt to show the reason behind the poor estimation of the future values
of foreign exchange-rate (FXR) signals under difference-equation modeling, using the …

Transformer-based methods have recently demonstrated their potential in time series
forecasting problems. However, the mainstream approach, primarily utilizing attention to …

Predicting the number of firemen interventions to size the appropriate workload of firefighters
to the appropriate need is vital for reducing material and human resources. Therefore, it will …

Crop protection information, such as how to control emergent and outbreak crop diseases
and pests, as well as the latest research, regulations, and quality control measures for …