Results 191 to 200 of about 7,519,950 (294)
For musculoskeletal robots, this study proposes a purely mechanical reflex module. Specifically, this module implements a length feedback mechanism without electronics, enabling autonomous contraction of an artificial muscle once its length exceeds a threshold.
Shunsuke Koseki +2 more
wiley +1 more source
Eye movements during free viewing to maximize scene understanding. [PDF]
Murlidaran S, Eckstein MP.
europepmc +1 more source
ABSTRACT This article presents the development of a five‐phase Indigenous Data Governance (IDGov) Framework in Australia, focusing on partnerships between the Aboriginal Community Controlled Health Organisation (ACCHO) sector and non‐Indigenous health entities.
Jacob Prehn +4 more
wiley +1 more source
Ethical challenges in scene understanding for public health AI. [PDF]
Qi Y, Zhao Z.
europepmc +1 more source
ABSTRACT As modes of activism rapidly evolve, activists—both seasoned and emerging—must increasingly navigate a hybrid terrain of both digital and non‐digital engagement. This paper draws on the personal narratives of 16 nascent activists based in Australia to explore how they develop competencies related to digital storytelling, which is critical to ...
Garth Stahl +5 more
wiley +1 more source
Scene Understanding System of Underground Pipeline Corridors Under Characteristic Degradation Conditions. [PDF]
Wang J +5 more
europepmc +1 more source
ABSTRACT Social inequity is increasing in Australia, often manifesting in entrenched locational disadvantage that requires place‐based responses grounded in local strengths, knowledge and participation. While community music programmes have demonstrated a range of positive social outcomes, their potential contribution to place‐based efforts addressing ...
Brydie‐Leigh Bartleet +6 more
wiley +1 more source
IndiaScene365: a transfer learning dataset for Indian scene understanding in diverse weather condition. [PDF]
Mane D, Arora S, Shelke S.
europepmc +1 more source
Abstract Global herbarium digitization has produced over 50 million specimen images, many of which contain handwritten or printed labels with rich metadata such as species names, collection dates, localities, and ecological notes. Manual transcription of this information is labor intensive, error prone, and not scalable, which has motivated the ...
Hiba Abbad +7 more
wiley +1 more source
Deep learning for scene understanding in mitochondrial dysregulation and blood cancer diagnosis. [PDF]
Zhu F, Liu Z, Chang J, Qin Y, Wang L.
europepmc +1 more source

