Mobile data science and intelligent apps: concepts, AI-based modeling and research directions

IH Sarker, MM Hoque, MK Uddin… - Mobile Networks and …, 2021 - Springer
Artificial intelligence (AI) techniques have grown rapidly in recent years in the context of
computing with smart mobile phones that typically allows the devices to function in an …

Studying usability of AI in the IoT systems/paradigm through embedding NN techniques into mobile smart service system

A Poniszewska-Maranda, D Kaczmarek, N Kryvinska… - Computing, 2019 - Springer
Abstract The Internet of Things (IoT) has emerged as a disruptive technology for the current
and future of computing and communication. IoT is characterized by a variety of …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

[HTML][HTML] Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current …

S Samad, F Ahmed, S Naher, MA Kabir, A Das… - Intelligent Systems with …, 2022 - Elsevier
The advancement of artificial intelligence (AI) and the significant growth in the use of food
consumption tracking and recommendation-related apps in the app stores have created a …

A review on the mobile applications developed for COVID-19: an exploratory analysis

MN Islam, I Islam, KM Munim, AKMN Islam - Ieee Access, 2020 - ieeexplore.ieee.org
The objective of this research is to explore the existing mobile applications developed for the
COVID-19 pandemic. To obtain this research objective, firstly the related applications were …

Analysis of cross-platform mobile app development tools

K Shah, H Sinha, P Mishra - 2019 IEEE 5th International …, 2019 - ieeexplore.ieee.org
With the emergence of different cross-platform alternatives, there is a need to explore the
various approaches the developer must take. We perform this study in the hopes of …

Comparison and benchmarking of ai models and frameworks on mobile devices

C Luo, X He, J Zhan, L Wang, W Gao, J Dai - arXiv preprint arXiv …, 2020 - arxiv.org
Due to increasing amounts of data and compute resources, deep learning achieves many
successes in various domains. The application of deep learning on the mobile and …

The role of machine learning techniques in internet of things-based cloud applications

S Mishra, AK Tyagi - Artificial intelligence-based internet of things systems, 2022 - Springer
Abstract Today's Machine Learning (ML) in a blend with Internet of Things (IoT)-based cloud
applications plays a significant role in our everyday life. As indicated by Gartner's recent …

A novel hybrid deep learning model for detecting and classifying non-functional requirements of mobile apps issues

AE Yahya, A Gharbi, WMS Yafooz, A Al-Dhaqm - Electronics, 2023 - mdpi.com
As a result of the speed and availability of the Internet, mobile devices and apps are in
widespread usage throughout the world. Thus, they can be seen in the hands of nearly …

Research Onion for Smart IoT‐Enabled Mobile Applications

R Alturki - Scientific programming, 2021 - Wiley Online Library
Determining the appropriate approaches and procedures to gain sufficient results is a vital
issue that is faced by the majority of researchers. Each type of research can have several …