AI-based on machine learning methods for urban real estate prediction: a systematic survey

SCK Tekouabou, ŞC Gherghina, ED Kameni… - … Methods in Engineering, 2024 - Springer
The advanced urban digitization enhancing a huge volume of data collected in many areas
has led to the emergence of artificial intelligence (AI) based tools in decision support …

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

TC Akinci, G Erdemir, AT Zengin, S Seker… - IEEE Access, 2023 - ieeexplore.ieee.org
This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …

Simulative survey of flooding attacks in intermittently connected vehicular delay tolerant networks

W Khalid, N Ahmed, S Khan, Z Ullah, Y Javed - IEEE Access, 2023 - ieeexplore.ieee.org
Vehicular Adhoc Networks (VANETs) are an emerging and promising technology that
enables vehicles to communicate with roadside units (RSUs) and other vehicles. VANETs …

Detecting and preventing false nodes and messages in vehicular ad-hoc networking (VANET)

S Masood, Y Saeed, A Ali, H Jamil, NA Samee… - IEEE …, 2023 - ieeexplore.ieee.org
Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation
of equipped vehicles on the road grabs the attention of researchers and is constantly striving …

Machine learning based intelligent routing for vdtns

S Liu, H Shen, BL Smith… - 2023 32nd International …, 2023 - ieeexplore.ieee.org
Delay Tolerant Networks (DTNs) are wireless mobile networks resilient to disruptions,
significant latency, and incomplete paths between source and destination (SD). Vehicular …

[HTML][HTML] Range aware message drop policy for delay tolerant networks

S Khan, K Saeed, MF Majeed, K Aurangzeb… - PeerJ Computer …, 2024 - peerj.com
In delay tolerant networks (DTNs) the messages are often not delivered to the destination
due to a lack of end-to-end connectivity. In such cases, the messages are stored in the buffer …

Explainable prediction of intelligent DTN routing

EA Abdellaoui Alaoui, K Nassiri… - … conference on artificial …, 2022 - Springer
The objective of this work is to create an intelligent routing system based on machine
learning methods, the usage of which opens up yet another opportunity to classify bundles …

MinerRouter: Effective Message Routing using Contact-graphs and Location Prediction in Underground Mine

A Goyal, S Madria, S Frimpong - 2024 25th IEEE International …, 2024 - ieeexplore.ieee.org
Location-based distributed communication in underground mines has been a hard problem
to solve due to unreliable centralized architecture such as leaky feeder systems, high …

[PDF][PDF] Ambient Intelligence-Based Fish Swarm Optimization Routing Protocol for Congestion Avoidance in Mobile Ad-Hoc Network

K Sumathi, DV Kumar - networks, 2020 - ijcna.org
In mobile ad hoc networks, path stability estimation is a major difficulty because of
connection failures that affect network nodes' mobility. In MANETs, path stability estimates …

[PDF][PDF] Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

S SEKER, AI IDRISS - 2023 - researchgate.net
This study endeavors to investigate the effectiveness of machine learning-based
methodologies in enhancing the performance and reliability of Power Line Communication …