Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
IEEE

A CNN network for coronary chronic total occlusion state classification using image data

Abstract: Chronic total occlusion (CTO) is a critical determinant of treatment efficacy in coronary artery disease, but its accurate diagnosis remains heavily reliant on the expertise of experienced ...
GitHub

PyTorch CNN Architecture Experimentation on Mini-ImageNet with Model Interpretability

This project presents a comprehensive deep learning study focused on Convolutional Neural Network (CNN) architecture experimentation and model interpretability using the Mini-ImageNet dataset. The ...
Hosted on MSN

Image classification with CNNs in Keras | Easy guide

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
Scientific Research Publishing

Innovative XAI Approaches for Predicting Cardiovascular Diseases ()

1 National School of Engineers of Gabes (ENIG), Research Laboratory of Numerical Control of Industrial Processes (CONPRI), University of Gabes, Gabes, Tunisia. 2 National School of Engineers of Sfax ...
IEEE

Gas Classification Using Time-Series to Image Conversion and CNN-Based Analysis on Array Sensor

Abstract: Gas detection is essential in industrial and domestic environments to ensure safety and prevent hazardous incidents. Traditional single-sensor time-series analysis often suffers from ...
GitHub

Tensorboard is not defined

Appearantly, the problem originates from callback= [tensorboard] on main.py. However, the import is not present in the file and it's only found unused in model.py. Am I missing something? For the ...