A Machine Learning Model for Augmenting the Media Accessibility for the Disabled People

HK Andi, S Senbagam, DK Sharma… - … Security and Artificial …, 2023 - ieeexplore.ieee.org
In an era characterized by the proliferation of digital media, the need to efficiently use
multimedia content has become paramount. This article discusses an innovative technique …

Dynamic and effect-driven output service selection for IoT environments using deep reinforcement learning

KD Baek, IY Ko - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In the context of the recent emergence of the Internet of Things (IoT), human users and IoT-
based services are interacting via physical effects, such as light and sound. Therefore, it is …

Implications of developments in machine learning for people with cognitive disabilities

C Lewis - ACM SIGACCESS Accessibility and Computing, 2020 - dl.acm.org
Machine learning is the process of training a computer program to reproduce and generalize
the relationship between some kind of input and some kind of output. High profile successes …

TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection

N Cohen-Shapira, L Rokach - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
With the growing number of machine learning (ML) algorithms, the selection of the top-
performing algorithms for a given dataset, task, and evaluation measure is known to be a …

Personalized federation learning with model-contrastive learning for multi-modal user modeling in human-centric metaverse

X Zhou, Q Yang, X Zheng, W Liang… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
With the flourish of digital technologies and rapid development of 5G and beyond networks,
Metaverse has become an increasingly hotly discussed topic, which offers users with …

Evaluating technologies with and for disabled children

E Brulé, O Metatla, K Spiel, A Kharrufa… - Extended Abstracts of …, 2019 - dl.acm.org
Due to policies supporting the inclusion of disabled children in mainstream schools and the
use of technologies to enable personalized schooling, there are broad research incentives …

Efficient recommendations for improving quality of teaching: Face to face, distance-learning, and learners with disabilities

A Bouaine, B Riyami, M Loukili - … of the 5th international conference on …, 2020 - dl.acm.org
This work encompasses a number of brief, general and specific recommendations to deal
with several and usual educational problems: disadvantaged students, lack of confidence …

Proactive Recommendation of Composite Services in Multi-Access Edge Computing

Z Liu, QZ Sheng, D Chu, X Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-Access Edge Computing (MEC) is an emerging computing paradigm that brings
services from centralized cloud to nearby network edge to improve users' Quality of …

Modeling educational software for people with disabilities: theory and practice

N Baloian, W Luther, J Sánchez - Proceedings of the fifth international …, 2002 - dl.acm.org
Interactive multimedia learning systems are not suitable for people with disabilities. They
tend to propose interfaces which are not accessible for learners with vision or auditory …

Ontology to profile user models with disabilities

BD Romero-Mariño, V Espín… - Model and Data …, 2017 - Springer
Accessibility enhances software applications by promoting e-inclusion through tools that
allow the profiling of users with disabilities. Our research aims to develop an ontology that …