Machine learning and the five big ideas in AI

D Touretzky, C Gardner-McCune… - International Journal of …, 2023 - Springer
This article provides an in-depth look at how K-12 students should be introduced to Machine
Learning and the knowledge and skills they will develop as a result. We begin with an …

Detecting Wear and Tear in Pedestrian Crossings Using Computer Vision Techniques: Approaches, Challenges, and Opportunities

GJM Rosa, JMS Afonso, PD Gaspar, VNGJ Soares… - Information, 2024 - mdpi.com
Pedestrian crossings are an essential part of the urban landscape, providing safe passage
for pedestrians to cross busy streets. While some are regulated by timed signals and are …

[PDF][PDF] Quantum games and interactive tools for quantum technologies outreach and education: A review and experiences from the field

ZC Seskir, P Migdał, C Weidner, A Anupam, N Case… - cdn.qtedu.eu
In this review, we provide an extensive overview of a wide range of quantum games and
interactive tools that have been employed by the community in recent years. The paper …

A Study for Statistical Machine Learning to Classify Radial Motions

Y Itatu, Y Matsuura, T Shiozawa, H Takada - FORMA, 2022 - jstage.jst.go.jp
It has been reported that the motion sickness is induced by visual approaches especially in
the peripheral vision. Human visual information in peripheral is processed along dorsal …

Flying by ML or CNN Inversion of Affine Transforms

L Van Warren - 2023 - search.proquest.com
This dissertation describes how to automate the reading of dials, gauges, and instruments
using machine learning (ML) methods. This process can be described as analog to digital …

L'intégration des nouvelles technologies et de l'intelligence artificielle dans la conservation du patrimoine bâti pour détecter la présence de pathologies.

S Boutet - 2025 - matheo.uliege.be
Ce travail de recherche a pour but d'analyser et de comparer les différentes approches de la
détection automatique de pathologies par intelligence artificielle, et critiquer leurs avantages …

IDENTIFICACION DE TIPOGRAFIAS EN AMBIENTES NO ESTRUCTURADOS MEDIANTE REDES PROFUNDAS DE APRENDIZAJE

OK PEREZ HERNANDEZ - 2024 - 51.143.95.221
En la presente tesis se ha investigado el desempeño del modelo de redes neuronales
convolucionales ResNet50 en la clasificación de imágenes de botellas de vino. El objetivo …