IEEE

Dynamic Fuzzy Cognitive Maps-Based Crowd Analysis Using Time Series Obtained From Video Processing

Abstract: Fuzzy cognitive maps treat the components of a problem or system expressed as fuzzy concepts and model the system with the relationships between these concepts. We predicted that FCM’ s ...
The Lancet

The early impact of the COVID-19 pandemic on access to colorectal cancer treatment in Brazil: a spatial and interrupted time-series analysis

aNursing Graduate Program, Federal University of Sergipe (UFS), São Cristóvão, Brazil bCenter for Research in Public Health, Federal University of Sergipe (UFS), São Cristóvão, Brazil cDepartment of ...
IEEE

Time Series Forecasting of Stock Prices Using Neural Networks LSTM and GAN

Abstract: The project seeks to improve the precision of Amazon stock price prediction using advanced neural network techniques, specifically Long Short-Term Memory (LSTM) networks and Generative ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data Preprocessing can quietly change the meaning of your data, which is why the Data Fusion Labeler is built to harmonize ...
GitHub

Black-Lights/planetscope-py

A professional Python library for PlanetScope satellite imagery analysis, providing comprehensive tools for scene discovery, metadata analysis, spatial-temporal density calculations, asset management, ...