Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated ...

Objectives Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid Diagnostic Clinics (RDCs) expedite care, but most NSS patients do not have cancer, ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Loosely based on research paper A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach https://doi.org/10.1016/j.neucom.2019.11.016 ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Deep learning approaches in lung ultrasound (LUS) imaging classification traditionally focus on the frame-level prediction, employing a severity score system ranging from score 0 to score 3. In ...

With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of ...

The Babylonians used separate combinations of two symbols to represent every single number from 1 to 59. That sounds pretty confusing, doesn’t it? Our decimal system seems simple by comparison, with ...

This study presents data on sex differences in gene expression across organs of four mice taxa. The authors have generated a unique and convincing dataset that fills a gap left by previous studies.

Sleep stage classification plays a vital role in sleep disorder diagnosis and disease prevention, where non-contact microwave radar emerges as a promising non-invasive monitoring method. This paper ...