AIMC Topic: Cell Phone

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Temporal social network modeling of mobile connectivity data with graph neural networks.

PloS one
Graph neural networks (GNNs) have emerged as a state-of-the-art data-driven tool for modeling connectivity data of graph-structured complex networks and integrating information of their nodes and edges in space and time. However, as of yet, the analy...

Mobile phone-based plasmodium parasites stage detection from Giemsa stained blood smear by convolutional neural networks.

Parasitology research
Plasmodium vivax is a malaria parasite with a broad geographic distribution worldwide. The unique biological characteristics of P. vivax, such as early gametocytogenesis and its latent hypnozoite stage, make it more difficult to control compared to P...

Mapping subnational gender gaps in internet and mobile adoption using social media data.

Proceedings of the National Academy of Sciences of the United States of America
The digital revolution has ushered in many societal and economic benefits. Yet access to digital technologies such as mobile phones and internet remains highly unequal, especially by gender in the context of low- and middle-income countries (LMICs). ...

Demographic forecast modelling using SSA-XGBoost for smart population management based on multi-sources data.

PloS one
Population prediction could provide effective data support for social and economic planning and decision-making, especially for the sub-national population forecasting accurately. In addition to realizing efficient smart population management, this r...

Semi-scale stirred tank enzymatic bioleaching system for metal recovery from PCBs of end-of-life mobile phones: Process parameter optimization, predictive modelling, and economic assessment.

Waste management (New York, N.Y.)
Biocatalysts like enzymes have proven to be faster and efficient in metal bioleaching from printed circuit boards (PCBs) than microbe-mediated bioleaching. However, studies on enzymatic metal bioleaching from PCBs are mainly confined to the shake-fla...

Artificial intelligence-based Raynaud's quantification index (ARTIX): an objective mobile-based tool for patient-centered assessment of Raynaud's phenomenon.

Arthritis research & therapy
BACKGROUND: We aimed to develop an artificial intelligence algorithm able to assess Raynaud's phenomenon (RP) from mobile phone photography, ensuring as a patient-centered, image-based method for RP quantification.

Investigating the factors affecting the intention to separate e-waste among mobile phone repairers in an emerging economy: A hybrid structural equation modelling and artificial neural network approach.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
The growing number of mobile phone users on a global scale has led to enormous amounts of electronic waste (e-waste) being generated annually. Insufficient knowledge of e-waste separation causes individuals to dispose of e-waste along with other wast...

Research on the self-efficacy and resilience of female graduate students in the era of artificial intelligence: analysis of the mechanism of mobile phone dependence, anxiety and mentoring relationship.

Archives of women's mental health
PURPOSE: The purpose of this study is to investigate the impact of the employment situation on the anxiety levels and research self-efficacy of graduate students, with a particular focus on female graduate students. The study aims to understand how t...

Artificial Intelligence in Diagnostics: Enhancing Urine Test Accuracy Using a Mobile Phone-Based Reading System.

Annals of laboratory medicine
BACKGROUND: Urinalysis, an essential diagnostic tool, faces challenges in terms of standardization and accuracy. The use of artificial intelligence (AI) with mobile technology can potentially solve these challenges. Therefore, we investigated the eff...

Measuring Vertical Jump Height With Artificial Intelligence Through a Cell Phone: A Validity and Reliability Report.

Journal of strength and conditioning research
Erik, HT, Onn, SW, and Montalvo, S. Vertical jump height with artificial intelligence through a cell phone: a validity and reliability report. J Strength Cond Res 38(9): e529-e533, 2024-This study estimated the reliability and validity of an artifici...