ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...
Abstract: The stabilization problem for discrete-time time-variant linear state-delayed systems with distinct input delays is investigated in this article. A predictor is constructed for this class of ...
Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...
Investment banks manage IPOs, helping with valuation and handling initial trading. In mergers, they offer crucial buy-side and sell-side advisory roles. Since 1999, banks can operate both investment ...
There are three main types of mechanical switches: clicky, linear, and tactile. Here are examples and sound tests of a variety of each kind. Clicky Vs Tactile Vs Linear Mechanical Keyboard Switches ...
Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
Please provide your email address to receive an email when new articles are posted on . Estimated glomerular filtration rate prior to cisplatin treatment predicted who had higher risk for chronic ...
This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
Abstract: The stabilization problem for discrete-time linear systems subject to both state and input delays is addressed when the state variables are not available. Full-order and reduced-order ...
ABSTRACT: The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in ...
Gene-set analysis seeks to identify the biological mechanisms underlying groups of genes with shared functions. Large language models (LLMs) have shown promise in generating functional descriptions ...