Using CNN to Detect the Use of Mobile Phone in Examination Rooms Poster presented at the Deep Learning Indaba 2023 by Reuben Moyo
This paper presents a unique driving dataset collected in Nigeria via mobile phone sensors to suppor
The newly released Orange D4D mobile phone data base provides new insights into the use of mobile te
International audience Objectives: Evidence-based programs to reduce child mortality
Background: In South Africa, inequitable access to healthcare information has
The most ubiquitous information and communications technology (ICT) in the hands of the common man t
Detailed knowledge of the energy needs at relatively high spatial and temporal resolution is crucial