GLR-SEI: green and low resource specific emitter identification based on complex networks and fisher pruning

Y Lin, H Zha, Y Tu, S Zhang, W Yan… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Better neural networks, more powerful computer hardware and signal Big Data make deep
learning increasingly important in Specific Emitter Identification (SEI). However, its …

[HTML][HTML] From Cyber–Physical Convergence to Digital Twins: A Review on Edge Computing Use Case Designs

MC Hlophe, BT Maharaj - Applied Sciences, 2023 - mdpi.com
As a result of the new telecommunication ecosystem landscape, wireless communication
has become an interdisciplinary field whose future is shaped by several interacting …

An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

S Muthubalaji, NK Muniyaraj, SPVS Rao… - Big Data Mining and …, 2024 - ieeexplore.ieee.org
Big data has the ability to open up innovative and ground-breaking prospects for the
electrical grid, which also supports to obtain a variety of technological, social, and financial …

The influence of social media, big data, and data mining on the evolution of organizational behavior: Empirical study in Jordanian telecommunication sector

A Mansour, F Harahsheh, K Wazani… - … Journal of Data and …, 2024 - m.growingscience.com
The aim of this study was to evaluate the impact of social media, big data, and data mining
on the development of organizational behavior within the telecommunications industry in …

Handling Data and Model Drift for World Application using Big Data

R Singh, A Gehlot, FD Shadrach… - 2022 International …, 2022 - ieeexplore.ieee.org
It's still unclear how to effectively extract the information concealed inside vast and massive
amounts of data. The problem of “idea drift” in stream data flows is one of the difficulties …

[PDF][PDF] Inteligencia emocional y el aprendizaje de los estudiantes de educación básica

MÁM Romero - Fronteras en ciencias de la educación, 2023 - academia.edu
La presente investigación titulada “Inteligencia Emocional y el Aprendizaje de los
Estudiantes de educación básica de una institución educativa en Ecuador” y tuvo como …

Optimizing Productivity and Efficiency in Agriculture through the Integration of Digital Technologies: A Smart Agriculture Perspective

S Joshi, M Sharma, D Kaushal, A Misra… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
In order to maximise productivity and efficiency in agriculture, this research explores the
concept of “smart agriculture,” which is the integration of digital technologies such the …

The Enhanced Optimization on Deep Learning Technologies for Data Science Practices

D Dhabliya, B Reddy, S Rajarajeswari… - … on Smart Generation …, 2023 - ieeexplore.ieee.org
Deep studying technologies (DLTs) were adopted with the aid of many fields, consisting of
healthcare, finance, and records technology. This paper ambitions to take a look at how …

Weight Coefficient Based Adaptive Federated Learning for Vehicular Data Transmission

H Xie - Information Technology and Control, 2023 - itc.ktu.lt
With the ever-increasing amount of vehicle data being generated, the collection and
transmission of this data-to-data processing centers is consuming significant amounts of …

Research on Operation Evolution of 5G Non-Public Network

K Chao, Z Xing, X Cheng, J Guan, L Xu… - 2023 IEEE 22nd …, 2023 - ieeexplore.ieee.org
5G non-public network (NPN) can provide customized and dedicated network services for
various vertical industries. The operation of 5G NPN is a crucial aspect for the deployment …