Artificial intelligence-driven mechanism for edge computing-based industrial applications

AH Sodhro, S Pirbhulal… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
artificial intelligence (AI) mechanism with mobile technologies while transmitting multimedia
(ie… Framework of reliable data transmission in AI-based edge computing platform over hybrid …

Application of artificial intelligence to wireless communications

TW Rondeau - 2007 - vtechworks.lib.vt.edu
… engine, I discuss different applications of artificial intelligence to solve the problems faced
by a cognitive radio and demonstrate how some of these methods improve communications. …

Artificial intelligence for vehicle-to-everything: A survey

W Tong, A Hussain, WX Bo, S Maharjan - IEEE Access, 2019 - ieeexplore.ieee.org
… The Inter-Reception Gap (IRG) is the interruption between successful data transmission. Both
FILR and IRG are important factors that indicate the reliability of the LTE-V-Direct system. A …

Artificial intelligence application in cybersecurity and cyberdefense

Y Jun, A Craig, W Shafik, L Sharif - Wireless communications …, 2021 - Wiley Online Library
… Corresponding-enabling-technologies as demonstrated within Figure 6 are classified as
data acquisition and sensing, data transmissions, data processing, and information …

A smart, efficient, and reliable parking surveillance system with edge artificial intelligence on IoT devices

R Ke, Y Zhuang, Z Pu, Y Wang - … Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
… back to the server, which significantly increases the data transmission volume and is not
what we want. Hence, the classification task needs to be done on IoT devices, which means the …

Evaluation of artificial intelligence techniques for fault type identification in advanced series compensated transmission lines

B Vyas, RP Maheshwari, B Das - IETE Journal of Research, 2014 - Taylor & Francis
… study of the performance of two artificial intelligence methods, ie SVM and ANN applied
for fault classification with the help of WT for an ASC transmission line faults. The obtained …

5G D2D transmission mode selection performance & cluster limits evaluation of distributed artificial intelligence and machine learning techniques

I Ioannou, C Christophorou, V Vassiliou… - arXiv preprint arXiv …, 2021 - arxiv.org
… However, to achieve optimum results it is important to select wisely the Transmission mode
… use of Distributed Artificial Intelligence (DAI) and innovative to D2D, Machine Learning (ML) …

Optimal Data Transmission and Improve Efficiency through Machine Learning in Wireless Sensor Networks

H Park, J Jeon - JOIV: International Journal on Informatics Visualization, 2022 - joiv.org
artificial intelligence (AI) to transmitmachine learning is one of the teaching methods.
Supervision learning learns a function that maps input to output based on input-output training data

Healthcare 5.0: A paradigm shift in digital healthcare system using artificial intelligence, IOT and 5G communication

B Mohanta, P Das, S Patnaik - … on applied machine learning  …, 2019 - ieeexplore.ieee.org
data transmission rate with least or no data loss, traffic free transmission channels, cost
effective, no time data … (M2M) or device to device (D2D) communication in IoT era are the major …

Artificial intelligence for satellite communication: A review

F Fourati, MS Alouini - Intelligent and Converged Networks, 2021 - ieeexplore.ieee.org
… In addition, the discontinuous short-term contacts between spacecraft and ground stations
limit the data transmission capability. Analyzing, monitoring, and interpreting huge telemetry …