The main objective is to examine the complex relationship between financial development and economic growth in Syria for the period of 1980-2018, using the Artificial Neural Network VAR model, the Non-Linear Causality test using Artificial Neural Networks, the Nonlinear Autoregressive...

Owing to the extremely complex compositions and origins of waste-activated sludge (WAS), the multiple physiochemical properties of WAS have impacts on its dewaterability, and there is a complex interaction relationship among the multiple physiochemical properties, which makes it difficult to...

This project goal is to assist the Municipal Heath Office of Padada in its daily operation in terms of collecting and facilitating data through its client satisfactory survey forms. There are two systems deployed which is the Web portal and Mobile application. Web portal is the medium to assist...

The smart workshop is a powerful tool for manufacturing companies to reduce waste and improve production efficiency through real-time data analysis for self-organized production. Automated Guided Vehicles (AGVs) have been widely used for material handling in smart workshop due to their high...

In supply chain inventory management, the backorder of products is a common occurrence. A backorder can only be successful if the supplier can be relied upon to provide the out-of-stock product when required or if the consumer is prepared to wait for the product without becoming impatient. So,...

Low-cost sensors (LCS) network is widely used to improve the resolution of spatial-temporal distribution of air pollutant concentrations in urban areas. However, studies on air pollution sources contribution in microenvironment especially in industrial and mix-used housing areas are still...

Algorithmic trading enables the execution of orders using a set of rules determined by a computer program. Orders are submitted based on an asset’s expected price in the future, an approach well suited for high-volatility markets, such as those trading in cryptocurrencies. The goal of this...

ChatGPT has demonstrated remarkable capabilities across various natural language processing (NLP) tasks. However, its potential for inferring dynamic network structures from temporal textual data, specifically financial news, remains an unexplored frontier. In this research, we introduce a novel...

Personal judgment and experience will influence the location and release date of a restaurant. It can be challenging to extrapolate subjective data across cultures and geographical areas. A supervised learning algorithm can construct complicated representations of complex variables using simple...

Time-series data, which exhibit a low signal-to-noise ratio, non-stationarity, and non-linearity, are commonly seen in high-frequency stock trading, where the objective is to increase the likelihood of profit by taking advantage of tiny discrepancies in prices and trading on them quickly and in...