Measuring emotion dysregulation in pregnancy using smartphone activity: a prospective research study in the United States. [PDF]
Henry RD.
europepmc +1 more source
Comparison of Android and iPhone Operating System
Wahhab Isam, Alaa Nazeeh
openaire +1 more source
Abstract This study explores the impact of robot–LLM (Large Language Model) integration on collaborative creative writing, focusing on how embodiment and AI creativity influence various aspects of creative output. A total of 150 undergraduate students participated in a structured experimental design with five collaboration conditions: Human–Human (HH),
Yuqing Liu, Yao Song
wiley +1 more source
Prospective observational study on behavioral monitoring, disease progression assessment, and screening model development for patients with depression using wearable devices and mobile phones: protocol. [PDF]
Wang M +7 more
europepmc +1 more source
Performance Assessment of WhatsApp and IMO on Android Operating System\n (Lollipop and KitKat) during VoIP calls using 3G or WiFi [PDF]
Renato Cassol de Oliveira +3 more
openalex +1 more source
3D Character Reconstruction from Hand‐drawn Model Sheets
Abstract Hand‐drawn model sheets are widely used in character design to define 3D shape and appearance through sparse multi‐view drawings. Reconstructing 3D characters from such sparse inputs has traditionally been challenging due to insufficient visual information.
Hyejeong Yoon +3 more
wiley +1 more source
DroidData: Tracking and Monitoring Data Transmission in the Android Operating System
Hani Alshahrani +5 more
openalex +2 more sources
Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction
Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik +6 more
wiley +1 more source
Longitudinal mental health data collected via the Corona Health smartphone app during COVID-19. [PDF]
Winter M +10 more
europepmc +1 more source

