Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

Electrical power grid insulators installed outdoors are exposed to environmental conditions,
such as the accumulation of contaminants on their surface. The contaminants increase the …

The advent of the Internet of Things and 5G has further accelerated the growth in devices
attempting to gain access to the wireless spectrum. A consequence of this has been the …

Stock market analysis is extremely important for investors because knowing the future trend
and grasping the changing characteristics of stock prices will decrease the risk of investing …

Alzheimer's disease (AD) is a prominent neurodegenerative disorder, which leads to
memory loss and cognitive impairment. The progression is irreversible and shows atrophies …

Применение теории хаоса в экономике связано с нарастающим уровнем
неопределенности, а также внешними шоками, с которыми сталкиваются …

This study explores the influence of social media content on societal attitudes and actions
during critical events, with a special focus on occurrences in Chile, such as the COVID-19 …

Stock trend prediction (STP) aims to predict price fluctuation, which is critical in financial
trading. The existing STP approaches only use market data with the same granularity (eg, as …

Forecasting financial data plays a crucial role in financial market. Relying solely on prices or
price trends as prediction targets often leads to a vast of invalid transactions. As a result …

Missing value is one of the main factors that cause dirty data. Without high-quality data, there
will be no reliable analysis results and precise decision-making. Therefore, the data …