Results 71 to 80 of about 1,690,370 (217)

Emerging Mobile Phone-based Social Engineering Cyberattacks in the Zambian ICT Sector [PDF]

open access: yesarXiv, 2022
The number of registered SIM cards and active mobile phone subscribers in Zambia in 2020 surpassed the population of the country. This clearly shows that mobile phones in Zambia have become part of everyday life easing not only the way people communicate but also the way people perform financial transactions owing to the integration of mobile phone ...
arxiv  

The associations of long-time mobile phone use with sleep disturbances and mental distress in technical college students: a prospective cohort study

open access: yesSleep, 2018
Study Objectives To determine the longitudinal associations of long-time mobile phone use (LTMPU) with sleep disturbances and mental distress in a prospective cohort of technical college students. Methods A total of 4333 (response rate: 91.5%) and 3396
Shuai Liu   +5 more
semanticscholar   +1 more source

A survey of results on mobile phone datasets analysis [PDF]

open access: yesEPJ Data Science, 2015
In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a stand-alone topic.
V. Blondel   +2 more
semanticscholar   +1 more source

The correlation between mobile phone addiction and coping style among Chinese adolescents: a meta-analysis

open access: yesChild and Adolescent Psychiatry and Mental Health, 2021
Background Mobile phone addiction has become a social problem that affects the healthy growth of adolescents, and it may be correlated with coping style.
Guang-Li Lu   +5 more
doaj   +1 more source

MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones [PDF]

open access: yesarXiv, 2023
We describe a comprehensive methodology for developing user-voice personalized automatic speech recognition (ASR) models by effectively training models on mobile phones, allowing user data and models to be stored and used locally. To achieve this, we propose a resource-aware sub-model-based training approach that considers the RAM, and battery ...
arxiv  

Deep learning enhanced mobile-phone microscopy [PDF]

open access: yesACS Photonics, 2017
Mobile-phones have facilitated the creation of field-portable, cost-effective imaging and sensing technologies that approach laboratory-grade instrument performance. However, the optical imaging interfaces of mobile-phones are not designed for microscopy
Y. Rivenson   +10 more
semanticscholar   +1 more source

Pattern of Mobile Phone Use among Students of An Institution

open access: yesJournal of Nepal Medical Association, 2018
Introduction: The charm of mobile phone is more among young generation and the increasing use can lead to various harmful effects and may result in dependence.
Kriti Thapa   +3 more
doaj   +1 more source

Mobile phone addiction and depressive symptoms among Chinese University students: The mediating role of sleep disturbances and the moderating role of gender

open access: yesFrontiers in Public Health, 2022
BackgroundWith the continuous updating of mobile phone functions, the phenomenon of mobile phone addiction among University students is becoming more and more serious. It is important to identify the potential risk factors for mobile phone addiction. The
Meng Liu, Chuntian Lu
doaj   +1 more source

Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore

open access: yesIEEE Transactions on Big Data, 2017
In this study, with Singapore as an example, we demonstrate how we can use mobile phone call detail record (CDR) data, which contains millions of anonymous users, to extract individual mobility networks comparable to the activity-based approach.
Shan Jiang   +2 more
semanticscholar   +1 more source

Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study

open access: yesJournal of Medical Internet Research, 2015
Background Depression is a common, burdensome, often recurring mental health disorder that frequently goes undetected and untreated. Mobile phones are ubiquitous and have an increasingly large complement of sensors that can potentially be useful in ...
Sohrab Saeb   +6 more
semanticscholar   +1 more source

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