Results 351 to 360 of about 828,009 (393)

AppAgent: Multimodal Agents as Smartphone Users

arXiv.org, 2023
Recent advancements in large language models (LLMs) have led to the creation of intelligent agents capable of performing complex tasks. This paper introduces a novel LLM-based multimodal agent framework designed to operate smartphone applications.
C. Zhang   +7 more
semanticscholar   +1 more source

Perceptual Quality Assessment of Smartphone Photography

Computer Vision and Pattern Recognition, 2020
As smartphones become people’s primary cameras to take photos, the quality of their cameras and the associated computational photography modules has become a de facto standard in evaluating and ranking smartphones in the consumer market.
Yuming Fang   +4 more
semanticscholar   +1 more source

Which smartphone for a smartphone-based spectrometer?

Optics & Laser Technology, 2021
Abstract In this work we discuss an application of over 60 various smartphone devices currently available on the market as low-cost spectrometers. To analyze and compare the smartphones, they were supplemented by a universal 3D-printed adapter containing mainly a diffraction grating and a multimode optical fiber projecting light from a smartphone’s ...
Mateusz Śmietana   +2 more
openaire   +2 more sources

A High-Quality Denoising Dataset for Smartphone Cameras

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
The last decade has seen an astronomical shift from imaging with DSLR and point-and-shoot cameras to imaging with smartphone cameras. Due to the small aperture and sensor size, smartphone images have notably more noise than their DSLR counterparts. While
A. Abdelhamed, Stephen Lin, M. S. Brown
semanticscholar   +1 more source

Prevalence of smartphone addiction among Asian medical students: A meta-analysis of multinational observational studies

International Journal of Social Psychiatry, 2022
Background: High prevalence of smartphone addiction among medical students may contribute to adverse physical and mental health outcomes. Aim: To estimate the prevalence of smartphone addiction, and explore the influencing factors and related mental ...
Ying Zhong   +5 more
semanticscholar   +1 more source

Attrition and adherence in smartphone-delivered interventions for mental health problems: A systematic and meta-analytic review.

Journal of Consulting and Clinical Psychology, 2019
OBJECTIVES Although the efficacy of smartphone-delivered interventions for mental health problems is emerging, randomized controlled trials (RCTs) of smartphone interventions are characterized by high rates of attrition and low adherence.
Jake Linardon, M. Fuller‐Tyszkiewicz
semanticscholar   +1 more source

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