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Artificial intelligence prediction of stock prices using social media
The primary objective of this work is to develop a Neural Network based on LSTM to predict stock market movements using tweets.
An Artificial Intelligence System for Combined Fruit Detection and Georeferencing, Using RTK-Based Perspective Projection in Drone Imagery
Apples which are on trees and apples which are on the ground are treated as separate classes.
Using Company Specific Headlines and Convolutional Neural Networks to Predict Stock Fluctuations
A classification accuracy of 61. 7\% is achieved using pre-learned embeddings, that are fine-tuned during training to represent the specific context of this task.
Quasi-optimal mesh sequence construction through Smoothed Adaptive Finite Element Method
We propose a new algorithm for Adaptive Finite Element Methods (AFEMs) based on smoothing iterations (S-AFEM), for linear, second-order, elliptic partial differential equations (PDEs).
Numerical Analysis Numerical Analysis
