Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service

S Aminizadeh, A Heidari, M Dehghan, S Toumaj… - Artificial Intelligence in …, 2024 - Elsevier
The healthcare sector, characterized by vast datasets and many diseases, is pivotal in
sha** community health and overall quality of life. Traditional healthcare methods, often …

Smartphone app usage analysis: datasets, methods, and applications

T Li, T **a, H Wang, Z Tu, S Tarkoma… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

Optimization of resources in intelligent electronic health systems based on Internet of Things to predict heart diseases via artificial neural network

Y Liao, Z Tang, K Gao, M Trik - Heliyon, 2024 - cell.com
As a paradigm shift in tandem with the expansion of ICT, smart electronic health systems
hold great promise for enhancing healthcare delivery and illness prevention efforts. These …

The applications of nature‐inspired algorithms in Internet of Things‐based healthcare service: A systematic literature review

Z Amiri, A Heidari, M Zavvar… - Transactions on …, 2024 - Wiley Online Library
Nature‐inspired algorithms revolve around the intersection of nature‐inspired algorithms
and the IoT within the healthcare domain. This domain addresses the emerging trends and …

The mediating role of brand trust and brand love between brand experience and loyalty: A study on smartphones in China

M Na, L Rong, MH Ali, SS Alam, M Masukujjaman… - Behavioral …, 2023 - mdpi.com
Smartphones have become increasingly essential in people's daily lives. Studying the
enablers that influence students' smartphone buying intentions can inform technology …

Generalization and personalization of mobile sensing-based mood inference models: an analysis of college students in eight countries

L Meegahapola, W Droz, P Kun, A De Götzen… - Proceedings of the …, 2023 - dl.acm.org
Mood inference with mobile sensing data has been studied in ubicomp literature over the
last decade. This inference enables context-aware and personalized user experiences in …

Factors affecting young customers' smartphone purchase intention during Covid-19 pandemic

MRHK Rakib, SAK Pramanik, M Al Amran, MN Islam… - Heliyon, 2022 - cell.com
Purchase intention has become a critical issue to the marketers of smartphones as the
market has become very competitive, volatile, uncertain and dynamic during Covid-19 than …

[HTML][HTML] Mobile device usage before and during the COVID-19 pandemic among rural and urban adults

L Jonnatan, CL Seaton, KL Rush, EPH Li… - International Journal of …, 2022 - mdpi.com
Technology has played a critical role during the COVID-19 pandemic. Despite affording a
safe way for people to connect with others, the potential for problematic device usage (eg …

Understanding the long-term evolution of mobile app usage

T Li, Y Fan, Y Li, S Tarkoma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The prevalence of smartphones has promoted the popularity of mobile apps in recent years.
Although significant effort has been made to understand mobile app usage, existing studies …

Securing internet of things using machine and deep learning methods: a survey

A Ghaffari, N Jelodari, S pouralish, N derakhshanfard… - Cluster …, 2024 - Springer
Abstract The Internet of Things (IoT) is a vast network of devices with sensors or actuators
connected through wired or wireless networks. It has a transformative effect on integrating …