Mazeyanti Mohd Ariffin

TL;DR: A proposed research framework, the data analysis framework, some results obtained from a data collection activity, as well as a statistical analysis of the data are discussed.

TL;DR: Data from the interviews with teachers highlighted four valuable learning experiences that occurred in the classrooms as a result of the robotic interventions; namely, with respect to young children with ASD, the AT promoted interest and engagement and increased attention and focus.

TL;DR: The proposed framework will overcome the research gaps in the literature by re-analysing the impact of extrinsic rewards, OCB and demographic variables on knowledge sharing by adding demographic variable as a moderating variable to help to understand individual differences in knowledge sharing behaviour.

TL;DR: In this paper, a deep learning-based model is presented for the identification of these glomeruli present in the human kidney, which obtained an accuracy of 99.68% with a dice coefficient of 0.9060.

TL;DR: This system aims to deliver urgent notifications to the intended students immediately at their respective locations and is also able to display personalized information based on the students' preferences and current location when accessing the system.