[HTML][HTML] Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects

AN Muhammad, AM Aseere, H Chiroma… - Neural computing and …, 2021 - Springer
The purpose of smart city is to enhance the optimal utilization of scarce resources and
improve the resident's quality of live. The smart cities employed Internet of Things (IoT) to …

Review of capacitive touchscreen technologies: Overview, research trends, and machine learning approaches

H Nam, KH Seol, J Lee, H Cho, SW Jung - Sensors, 2021 - mdpi.com
Touchscreens have been studied and developed for a long time to provide user-friendly and
intuitive interfaces on displays. This paper describes the touchscreen technologies in four …

Hybrid image analysis model for hashtag recommendation through the use of deep learning methods

D Połap - Expert Systems with Applications, 2023 - Elsevier
Content tags of a given image are the basic mechanism used in social networking services.
One of the most commonly used websites like Instagram, Facebook, or Twitter is the …

[HTML][HTML] Early warning and real-time control of construction safety risk of underground engineering based on building information modeling and internet of things

Y Liang, Q Liu - Neural Computing and Applications, 2022 - Springer
The objective of this study is to establish a safety risk warning system for the construction of
underground engineering and to solve the problems existing in current construction of …

[HTML][HTML] Context-awareness trust management model for trustworthy communications in the social internet of things

R Magdich, H Jemal, M Ben Ayed - Neural Computing and Applications, 2022 - Springer
Abstract The social Internet of Things (SIoT) is the next generation of the Internet of Things
network. It entails the evolution of intelligent devices into social ones, aiming at building …

Examining the current status and emerging trends in continuous authentication technologies through citation network analysis

JJ Jeong, Y Zolotavkin, R Doss - ACM Computing Surveys, 2022 - dl.acm.org
Continuous Authentication (CA) technologies enable users to be authenticated beyond just
the point of entry. In this article, we conduct a comprehensive review of over 2,300 articles to …

Machine learning algorithms in user authentication schemes

L Pryor, R Dave, J Seliya… - … Conference on Electrical …, 2021 - ieeexplore.ieee.org
In the past two decades, the number of mobile products being created by companies has
grown exponentially. However, although these devices are constantly being upgraded with …

[HTML][HTML] HMR-vid: a comparative analytical survey on human motion recognition in video data

MR Keyvanpour, S Vahidian, M Ramezani - Multimedia Tools and …, 2020 - Springer
According to the rapid spread of multimedia data and online observations by users, the
importance of researching on machine vision also, analyzing and automatic understanding …

[HTML][HTML] Intelligent analysis system for signal processing tasks based on LSTM recurrent neural network algorithm

Y Zhou, X Jiao - Neural Computing and Applications, 2022 - Springer
In order to improve the effectiveness of signal processing, according to the actual needs of
signal processing and the current problems in signal processing, this paper introduces an …

Using the AraBERT model for customer satisfaction classification of telecom sectors in Saudi Arabia

S Aftan, H Shah - Brain Sciences, 2023 - mdpi.com
Customer satisfaction and loyalty are essential for every business. Feedback prediction and
social media classification are crucial and play a key role in accurately identifying customer …