A systematic review of quality of service in wireless sensor networks using machine learning: Recent trend and future vision

M Pundir, JK Sandhu - Journal of Network and Computer Applications, 2021 - Elsevier
Abstract Wireless Sensor Network (WSN) is used in different research areas such as military,
industry, healthcare, agriculture, Internet of Things (IoT), transportation, and smart cities. The …

Interference suppression using deep learning: Current approaches and open challenges

T Oyedare, VK Shah, DJ Jakubisin, JH Reed - IEEE Access, 2022 - ieeexplore.ieee.org
In light of the finite nature of the wireless spectrum and the increasing demand for spectrum
use arising from recent technological breakthroughs in wireless communication, the problem …

Survey Paper Artificial and Computational Intelligence in the Internet of Things and Wireless Sensor Network

GPN Hakim, D Septiyana… - Journal of Robotics and …, 2022 - journal.umy.ac.id
In this modern age, Internet of Things (IoT) and Wireless Sensor Network (WSN) as its
derivatives have become one of the most popular and important technological …

Coexistence Management in wireless networks-a survey

A Hasan, BM Khan - IEEE Access, 2022 - ieeexplore.ieee.org
The rapid proliferation of wireless networks poses a great challenge of effective coexistence
management amongst a plethora of wireless communication protocol users that are co …

Deep learning aided wireless interference identification for coexistence management in the ISM bands

A Hasan, BM Khan - Wireless Networks, 2023 - Springer
Innovative wireless technology trends and applications have attracted an incredible number
of users resulting in the massive utilization of the unlicensed ISM bands. In order to …

Robust interference cancellation for differential quadrature phase-shift keying modulation with band limiting and adaptive filter

R Hidayat, A Sujana, AG Mahardika… - TELKOMNIKA …, 2021 - telkomnika.uad.ac.id
Differential quadrature phase-shift keying (DQPSK) modulation techniques and their
variants are widely applied in digital communication, such as for high-speed optical fiber …

Interference Techniques Based on Deep Learning in Wireless Networks

S Arunprasath, A Suresh… - Resource Management in …, 2025 - Wiley Online Library
On small‐scale wireless networks, traditional architectures deliver fast execution and nearly
ideal performance, but when user density is high, the performance suffers significantly. The …

A Comprehensive Analysis of Deep Learning for Interference Suppression, Sample and Model Complexity in Wireless Systems

TR Oyedare - 2024 - vtechworks.lib.vt.edu
The wireless spectrum is limited and the demand for its use is increasing due to
technological advancements in wireless communication, resulting in persistent interference …

[PDF][PDF] Fast and accurate primary user detection with machine learning techniques for cognitive radio networks

GA Pethunachiyar, B Sankaragomathi - Indonesian Journal of …, 2021 - academia.edu
Spectrum decision is an important and crucial task for the secondary user to avail the
unlicensed spectrum for transmission. Managing the spectrum is an efficient one for …

Suport visual details of X-ray image with plain information

NJ Hussein, SK Abbas - … Computing Electronics and Control), 2021 - telkomnika.uad.ac.id
The objective of content-based image retrival (CBIR) is to retrieve relevant medical images
from the medical database with reference to the query image in a shorter span of time. All …