Connect with CNN 10

CNN 10 is a daily news show for students over 13 and other viewers who want to learn about current events and global issues ...
IEEE

A Reinforcement Learning Algorithm for Safety Decision Making in Autonomous Driving Systems with Reward Machine Guidance

Abstract: In the field of autonomous driving, safe and efficient decision-making through deep reinforcement learning remains a significant challenge. Existing methods often struggle to adapt to the ...
Distractify on MSN

The journalist is a machine: Lior Alexander and the end of the newsroom

Lior Alexander is the CEO of AlphaSignal. The platform has over a quarter of a million subscribers and generates 200 million ...
IEEE

Hybrid CNN and Machine Learning Framework for Detecting Curvularia Leaf Spot in Oil Palm Seedlings Using VGG16 and ResNet50

Abstract: This study presents a hybrid framework for detecting black leaf spot disease in oil palm seedlings caused by Curvularia infection by combining deep learning with classical machine learning ...
IEEE

Comparative Study of Face Recognition on Grayscale Images Using PCA, Eigenfaces, CNN, and Traditional Machine Learning Models

Abstract: Face recognition is one of the core fields in computer vision; CNNs brought significant improvement to recognition accuracy. Despite the massive progresses, a most of the models are still ...
IEEE

Generation of CNN Architectures Using the Harmonic Search Algorithm and its Application to Classification of Damaged Sewer

Abstract: When used as an image processing method, convolutional neural networks (CNNs) cannot verify conditions that can achieve high performance; however, they show sufficiently high performance and ...
IEEE

An automated early ischemic stroke detection system using CNN deep learning algorithm

Abstract: Over the past few years, stroke has been among the top ten causes of death in Taiwan. Stroke symptoms belong to an emergency condition, the sooner the patient is treated, the more chance the ...
Journal of Medical Internet Research

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study ...