eLife

Human EEG and artificial neural networks reveal disentangled representations and processing timelines of object real-world size and depth in natural images

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
GitHub

Deep Learning ResNet for Binary Classification

The dataset used for this project is stored in a CSV file (data.csv). It is split into training and validation sets for model training and evaluation. This script initializes the ResNet model, ...
IEEE

Development of F-ResNet for Spaceborne GNSS-R Sea Surface Height Measurement From CYGNSS

Abstract: The diversity and complexity of the environment, such as wind speed, wave height, sea clutter, etc., are the main reasons for the current limitation in the spaceborne Global Navigation ...
GitHub

Getting started with Ollama for Python

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
IEEE

Chemical Process Fault Diagnosis Based on Improved ResNet Fusing CBAM and SPP

Abstract: This paper proposes a fault diagnosis method based on an improved residual network (ResNet) for complex chemical processes. The method can automatically and efficiently extract fault ...