Search Results for author:
Found 6 papers, 2 papers with code
MC-DBN: A Deep Belief Network-Based Model for Modality Completion
Recent advancements in multi-modal artificial intelligence (AI) have revolutionized the fields of stock market forecasting and heart rate monitoring.
Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs
We further introduce LLM-ARK, a LLM grounded KG reasoning agent designed to deliver precise and adaptable predictions on KG paths.
Image Blending Algorithm with Automatic Mask Generation
In recent years, image blending has gained popularity for its ability to create visually stunning content.
Machine Learning for Stock Prediction Based on Fundamental Analysis
A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks historical data.
Structural and dynamic disorder, not ionic trapping, controls charge transport in highly doped conducting polymers
Doped organic semiconductors are critical to emerging device applications, including thermoelectrics, bioelectronics, and neuromorphic computing devices.
Materials Science
Neural Network Models for Stock Selection Based on Fundamental Analysis
Application of neural network architectures for financial prediction has been actively studied in recent years.
