Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay… - Internet of Things, 2019 - Elsevier
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …

Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future directions

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

A review of fog computing and machine learning: concepts, applications, challenges, and open issues

KH Abdulkareem, MA Mohammed… - Ieee …, 2019 - ieeexplore.ieee.org
Systems based on fog computing produce massive amounts of data; accordingly, an
increasing number of fog computing apps and services are emerging. In addition, machine …

A survey on deep learning for ultra-reliable and low-latency communications challenges on 6G wireless systems

A Salh, L Audah, NSM Shah, A Alhammadi… - IEEE …, 2021 - ieeexplore.ieee.org
The sixth generation (6G) wireless communication network presents itself as a promising
technique that can be utilized to provide a fully data-driven network evaluating and …

The fusion of deep learning and fuzzy systems: A state-of-the-art survey

Y Zheng, Z Xu, X Wang - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
Deep learning presents excellent learning ability in constructing learning model and greatly
promotes the development of artificial intelligence, but its conventional models cannot …

Deep learning in economics: a systematic and critical review

Y Zheng, Z Xu, A Xiao - Artificial Intelligence Review, 2023 - Springer
From the perspective of historical review, the methodology of economics develops from
qualitative to quantitative, from a small sampling of data to a vast amount of data. Because of …

Scope of machine learning applications for addressing the challenges in next‐generation wireless networks

RK Samanta, B Sadhukhan… - CAAI Transactions …, 2022 - Wiley Online Library
The convenience of availing quality services at affordable costs anytime and anywhere
makes mobile technology very popular among users. Due to this popularity, there has been …

Voice biometrics: Deep learning-based voiceprint authentication system

A Boles, P Rad - 2017 12th system of systems engineering …, 2017 - ieeexplore.ieee.org
Speaker identification systems are becoming more important in today's world. This is
especially true as devices rely on the user to speak commands. In this article, an analysis of …