Students with special needs should be empowered to use assistive technologies and
services that suit their individual circumstances and environments to maximize their learning …

The use of software and IoT services is increasing significantly among people with special
needs, who constitute 15% of the world's population. However, selecting appropriate …

Integrating smart heterogeneous objects, IoT devices, data sources, and software services to
produce new business processes and functionalities continues to attract considerable …

This paper describes the initial results of work to create a recommender system to match
technology products to people with I/DD by applying machine learning to a large volume of …

The availability of educational data in novel ways and formats brings new opportunities to
students with special education needs (SEN), whose behaviour and learning are highly …

Currently, there are millions of people who are studying professional training using e-
Learning environments. A trend that has been exacerbated by the global health crisis …

The research focuses on utilizing artificial intelligence (AI) and machine learning (ML)
algorithms to enhance accessibility for people with disabilities (PwD) in three areas: public …

Quality of Service (QoS) based web service selection has been studied in the service
computing community for some time. However, characteristics of the input dataset are not …

The past decade has seen an exponential growth in the capabilities and deployment of
artificial intelligence systems based on deep neural networks. These are visible through the …

Data-driven assistive wearable technologies are promising to support young adults with
neurodiversity in inclusive education. Existing datasets focus on wearable sensor data of …