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Natural Language Processing

Yue Zhang, Zhiyang Teng • Cambridge University Press eBooks (2020)

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are sy...

OPENALEX DOI: https://doi.org/10.1017/9781108332873

USE OF ARTIFICIAL INTELLIGENCE TO IDENTIFY AND CORRECT MISCONCEPTIONS ABOUT RADIATION

Oleksandr Tymoshchuk • Інформаційні технології і засоби навчання (2025)

The expansion of nuclear technologies in various industries, combined with the constant threat of radiation-related incidents, highlights the urgent need for effective radiation education. This study is devoted to an empirical investigation...

DOAJ Open Access (DOAJ) DOI: 10.33407/itlt.v105i1.5905

Graph Neural Networks for Natural Language Processing: A Survey

Lingfei Wu, Yu Chen, Kai Shen, Xiaojie Guo et al. • Foundations and Trends® in Machine Learning (2023)

Deep learning has become the dominant approach in addressing various tasks in Natural Language Processing (NLP). Although text inputs are typically represented as a sequence of tokens, there is a rich variety of NLP problems that can be bes...

OPENALEX Open Access DOI: https://doi.org/10.1561/2200000096

Mobile learning for less-commonly taught languages: design and application

Tang Jinlan, Zhai Yuming, Li Lingxiao, Liu Peixin et al. • Journal of China Computer-Assisted Language Learning (2024)

The increasing development of emerging technologies contributes to ubiquitous and personalized language learning. Hence this study reported a project of designing and applying mobile learning for a less-commonly taught language, Fijian lang...

DOAJ Open Access (DOAJ) DOI: 10.1515/jccall-2024-0006

Fundamentals of Computer Vision

Wesley E. Snyder, Hairong Qi • Cambridge University Press eBooks (2017)

Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mat...

OPENALEX DOI: https://doi.org/10.1017/9781316882641

Computer Vision Syndrome: Prevalence and Associated Risk Factors among Undergraduates in a Tertiary Institution in North western Nigeria

Nwankwo B, Mumueh KP, Olorukooba AA, Usman NO • Kanem Journal of Medical Sciences (2021)

Background: Computers and other visual display devices have become essential in the present era and have led to a rise in computer-related health problems. Using computers in homes, universities and other institutions has increased output g...

DOAJ Open Access (DOAJ) DOI: 10.36020/kjms.2021.1501.003

MAT-Fly: An Educational Platform for Simulating Unmanned Aerial Vehicles Aimed to Detect and Track Moving Objects

Giuseppe Silano, Luigi Iannelli • IEEE Access (2021)

The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described MAT...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3064758

Computer Vision, Models and Inspection

A. David Marshall, R. R. Martin • World Scientific series in robotics and intelligent systems (1992)

The main focus of this book is on the uses of computer vision for inspection and model based matching. It also provides a short, self contained introductory course on computer vision. The authors describe various state-of-the-art approaches...

OPENALEX DOI: https://doi.org/10.1142/1492

Visual servoing for robot control: Learning activities using RoboDKde robots: actividades de aprendizaje con RoboDK

Raidell Avello-Martínez, Abraham Prieto García • Edutec (2025)

Visual servo control is a key robotic control technique that uses visual feedback to dynamically adjust movements. This study, conducted within the AIM@VET project, evaluates the effectiveness of a RoboDK-based lesson with 25 vocational stu...

DOAJ Open Access (DOAJ) DOI: 10.21556/edutec.2025.94.3955