University of Oklahoma

Python Basic Setup

If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. To load a specific version of python, such as Python/3.10.8-GCCcore-12.2.0, type: module load ...
IEEE

A Novel Lstm and Emotion-Driven Multimodal Model for Stock Price Prediction

Abstract: The goal of our research is to develop a model that achieves higher accuracy in predicting stock price movements, enabling investors to make informed decisions on buying or selling stocks to ...
IEEE

Power Load Forecasting Based on GA-Optimized CNN-LSTM Model

Abstract: This paper proposes a short-term load forecasting method based on a GA-optimized CNN-LSTM model. The model combines the strengths of CNN in extracting local spatial features and LSTM in ...
TweakTown

Tesla paywalls basic safety feature on Model 3 and Model Y vehicles

TL;DR: Tesla has placed its lane-centering Autosteer feature behind a $99/month Full Self-Driving (FSD) subscription, ending free Basic Autopilot after seven years. This move aims to boost FSD ...
Scientific Research Publishing

An Optimized Port Operation Efficiency Prediction Model Based on ESN and LSTM ()

With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness of ...
Frontiers

Modeling ring current proton distribution using MLP, CNN, LSTM, and transformer networks

This study aims at developing ring current proton flux models using four neural network architectures: a multilayer perceptron (MLP), a convolutional neural network (CNN), a long short-term memory ...
GitHub

Time-Series-Forecasting-for-Portfolio-Management-Optimization

Task 1: Preprocess and Explore the Data 1.1 Load Historical Data (TSLA, BND, SPY) Using yfinance python CopyEdit import yfinance as yf import pandas as pd import numpy as np import matplotlib.pyplot ...