This project provides a non-invasive system to predict a person’s ABO/Rh blood group from their fingerprint image using deep learning. The solution combines advanced CNN modeling, non-invasive data ...
ABSTRACT: Using Machine Learning to detect malicious URLs can save millions of people’s data every year and protect them from cyber attackers. This carries major financial consequences, particularly ...
Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...
1 Department of Computing and Informatics, University of Nairobi, Nairobi, Kenya. 2 Department of Computer Science, Mountains of the Moon University, Fort Portal, Uganda. Alzheimer’s Disease (AD) is a ...
Artur is a copywriter and SEO specialist, as well as a small business owner. In his free time, he loves to play computer games and is glad that he was able to connect his professional career with his ...
The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...
This tutorial walks you through fine-tuning a ResNet-18 model from TensorFlow’s Model Garden for classifying images in the CIFAR-10 dataset. You’ll learn how to set up the environment, configure the ...
Introduction: Oral squamous cell carcinoma (OSCC) is a significant global health burden, where timely and accurate diagnosis is essential for improved patient outcomes. Conventional diagnosis relies ...
I'm trying to use resnet-18 in flax, for some reason, it seems like the normalization layers can't be loaded. I load the model with the command model ...
Abstract: This study investigates the use of lightweight deep learning models for classifying operational states of hydrocyclones in a copper mining process. A diverse data set was curated by ...
Chemical, biological, radiological, nuclear, and explosives incidents require rapid detection and characterization for appropriate response. For a nuclear detonation, visible-light cameras may be used ...
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