[HTML][HTML] An effective explainable food recommendation using deep image clustering and community detection
In food diet communication domain, images convey important information to capture users'
attention beyond the traditional ingredient content, making it crucial to influence user …
attention beyond the traditional ingredient content, making it crucial to influence user …
Cyberattacks and security of cloud computing: a complete guideline
Cloud computing is an innovative technique that offers shared resources for stock cache and
server management. Cloud computing saves time and monitoring costs for any organization …
server management. Cloud computing saves time and monitoring costs for any organization …
Cyber-Physical Urban Mobility Systems: Opportunities and Challenges in Developing Countries
Rapid population growth and the number of vehicles in cities have complicated urban
mobility management. Digitalization supported by the internet of things and wireless …
mobility management. Digitalization supported by the internet of things and wireless …
Deep reinforcement learning based intrusion detection system with feature selections method and optimal hyper-parameter in IoT environment
S Bakhshad, V Ponnusamy, R Annur… - 2022 International …, 2022 - ieeexplore.ieee.org
The continuous rise of inter-contented Internet of Things (IoT) devices has significantly
increased network traffic, complexity, and the ever-changing Internet environment, making …
increased network traffic, complexity, and the ever-changing Internet environment, making …
Emergency vehicle driving assistance system using recurrent neural network with navigational data processing method
M Anjum, S Shahab - Sustainability, 2023 - mdpi.com
Emergency vehicle transportation is important for responding to and transporting individuals
during emergencies. This type of transportation faces several issues, such as road safety …
during emergencies. This type of transportation faces several issues, such as road safety …
RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation
Z Li, A Zhou - Applied Intelligence, 2023 - Springer
Existing deep reinforcement learning-based mobile robot navigation relies largely on single-
modal visual perception to perform local-scale navigation. However, multimodal visual …
modal visual perception to perform local-scale navigation. However, multimodal visual …
Deep learning-based efficient analysis for encrypted traffic
X Yan - Applied Sciences, 2023 - mdpi.com
Featured Application Analysis for encrypted traffic. Abstract To safeguard user privacy,
critical Internet traffic is often transmitted using encryption. While encryption is crucial for …
critical Internet traffic is often transmitted using encryption. While encryption is crucial for …
DrunkChain: blockchain-based IoT system for preventing drunk driving-related traffic accidents
Traffic accidents present significant risks to human life, leading to a high number of fatalities
and injuries. According to the World Health Organization's 2022 worldwide status report on …
and injuries. According to the World Health Organization's 2022 worldwide status report on …
A data-driven framework for designing microstructure of multifunctional composites with deep-learned diffusion-based generative models
This paper introduces a novel integrated microstructure design methodology that replaces
the common existing design approaches for multifunctional composites: 1) reconstruction of …
the common existing design approaches for multifunctional composites: 1) reconstruction of …
[HTML][HTML] Data fusion for driver drowsiness recognition: A multimodal perspective
Drowsiness is characterized by decreased alertness and an increased inclination to fall
asleep, typically from factors such as fatigue, sleep deprivation, or other related influences …
asleep, typically from factors such as fatigue, sleep deprivation, or other related influences …