Enhanced pedestrian walkway object detection using deep learning and pelican optimization algorithm for assisting disabled persons. [PDF]
Alrowais F, Almofarreh M, Marzouk R.
europepmc +1 more source
Protocol for a scoping review on nursing care and the autonomy of disabled persons. [PDF]
Schoeller SD +10 more
europepmc +1 more source
Confessions of a Poverty Researcher: My Journey Through the Foothills of Scholarship
ABSTRACT This paper describes the key events, experiences and ideas that influenced the author's career as a poverty researcher. He describes how his early disillusion with economics was replaced by a spark of interest in social issues and how his migration from the UK to Australia in the mid‐1970s provided the impetus to begin what became a lifetime ...
Peter Saunders
wiley +1 more source
Improving real-time emotion recognition system in assistive communication technologies for disabled persons using deep learning with equilibrium algorithm. [PDF]
Alghamdi TA, Alotaibi SS, Alharthi RM.
europepmc +1 more source
ABSTRACT Following the Royal Commission into Aged Care Quality and Safety, the Australian Government set a target for no‐one under 65 years of age to be living in residential aged care (RAC) by 2025. The numbers of young people in residential aged care (YPIRAC) have significantly declined since the start of the targets.
Elroy Dearn +4 more
wiley +1 more source
A vision transformer with recurrent neural network-based fall activity recognition system for disabled persons in smart IoT environments. [PDF]
Alzahrani A, Alghamdi AM.
europepmc +1 more source
ABSTRACT For adults with intellectual disability and their families, future planning and moving out of the family home in Australia will increasingly occur within the context of the National Disability Insurance Scheme (NDIS). As a market‐based, individualised funding system its impact on this transition remains largely unknown. This paper reports on a
I. Belperio +5 more
wiley +1 more source
A novel hybrid attention based deep learning framework for textual emotion recognition using natural language processing technologies for disabled persons. [PDF]
Al-Hagery MA +3 more
europepmc +1 more source

