Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities

G Bathla, K Bhadane, RK Singh… - Mobile Information …, 2022‏ - Wiley Online Library
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023‏ - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Challenges and solutions for cellular based V2X communications

S Gyawali, S Xu, Y Qian, RQ Hu - … Communications Surveys & …, 2020‏ - ieeexplore.ieee.org
A wide variety of works have been conducted in vehicle-to-everything (V2X)
communications to enable a variety of applications for road safety, traffic efficiency and …

[HTML][HTML] A review on fog computing: Architecture, fog with IoT, algorithms and research challenges

H Sabireen, V Neelanarayanan - Ict Express, 2021‏ - Elsevier
With the increasing advancement in the applications of the Internet of Things (IoT), the
integrated Cloud Computing (CC) faces numerous threats such as performance, security …

[HTML][HTML] All one needs to know about fog computing and related edge computing paradigms: A complete survey

A Yousefpour, C Fung, T Nguyen, K Kadiyala… - Journal of Systems …, 2019‏ - Elsevier
Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

Autonomous cars: Research results, issues, and future challenges

R Hussain, S Zeadally - IEEE Communications Surveys & …, 2018‏ - ieeexplore.ieee.org
Throughout the last century, the automobile industry achieved remarkable milestones in
manufacturing reliable, safe, and affordable vehicles. Because of significant recent …

[HTML][HTML] Fog computing and the internet of things: A review

HF Atlam, RJ Walters, GB Wills - big data and cognitive computing, 2018‏ - mdpi.com
With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …

An overview of security and privacy in smart cities' IoT communications

F Al‐Turjman, H Zahmatkesh… - Transactions on …, 2022‏ - Wiley Online Library
Smart cities have brought significant improvements in quality of life and services to citizens
and urban environments. They are fully enabled to control the physical objects in real time …

Fog computing: A taxonomy, systematic review, current trends and research challenges

J Singh, P Singh, SS Gill - Journal of Parallel and Distributed Computing, 2021‏ - Elsevier
There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …

Deep learning empowered task offloading for mobile edge computing in urban informatics

K Zhang, Y Zhu, S Leng, Y He… - IEEE Internet of …, 2019‏ - ieeexplore.ieee.org
Led by industrialization of smart cities, numerous interconnected mobile devices, and novel
applications have emerged in the urban environment, providing great opportunities to …