Investigation of autonomous multi-UAV systems for target detection in distributed environment: Current developments and open challenges

WYH Adoni, S Lorenz, JS Fareedh, R Gloaguen… - Drones, 2023 - mdpi.com
Uncrewed aerial vehicles (UAVs), also known as drones, are ubiquitous and their use cases
extend today from governmental applications to civil applications such as the agricultural …

A survey of current challenges in partitioning and processing of graph-structured data in parallel and distributed systems

HWY Adoni, T Nahhal, M Krichen, B Aghezzaf… - Distributed and Parallel …, 2020 - Springer
One of the concepts that attracts attention since entering of big data era is the graph-
structured data. Suitable frameworks to handle such data would face several constraints …

[HTML][HTML] An Effective Method for Computing the Least-Cost Path Using a Multi-Resolution Raster Cost Surface Model

Q Tang, W Dou - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Calculating the least-cost path (LCP) is a fundamental operation in raster-based geographic
information systems (GIS). The LCP is applied to raster cost surfaces, in which it determines …

Bdps: An efficient spark-based big data processing scheme for cloud fog-iot orchestration

R Hossen, M Whaiduzzaman, MN Uddin, MJ Islam… - Information, 2021 - mdpi.com
The Internet of Things (IoT) has seen a surge in mobile devices with the market and
technical expansion. IoT networks provide end-to-end connectivity while keeping minimal …

Distributed centrality analysis of social network data using MapReduce

R Kumar Behera, S Kumar Rath, S Misra… - Algorithms, 2019 - mdpi.com
Analyzing the structure of a social network helps in gaining insights into interactions and
relationships among users while revealing the patterns of their online behavior. Network …

A vehicle license plate data access model based on the jump hash consistency algorithm

W Wang, W Cheng, J Chen, Z Wang, Y Zhang, Y Yu - Plos one, 2023 - journals.plos.org
The massive amount of vehicle plate data generated by intelligent transportation systems is
widely used in the field of urban transportation information system construction and has a …

[HTML][HTML] Intelligent Swarm: Concept, Design and Validation of Self-Organized UAVs Based on Leader–Followers Paradigm for Autonomous Mission Planning

WYH Adoni, JS Fareedh, S Lorenz, R Gloaguen… - Drones, 2024 - mdpi.com
Unmanned Aerial Vehicles (UAVs), commonly known as drones, are omnipresent and have
grown in popularity due to their wide potential use in many civilian sectors. Equipped with …

DHPV: a distributed algorithm for large-scale graph partitioning

WYH Adoni, T Nahhal, M Krichen, A El Byed… - Journal of big Data, 2020 - Springer
Big graphs are part of the movement of “Not Only SQL” databases (also called NoSQL)
focusing on the relationships between data, rather than the values themselves. The data is …

Research on Optimization of Improved Gray Wolf Optimization‐Extreme Learning Machine Algorithm in Vehicle Route Planning

S Li, F Wang - Discrete Dynamics in Nature and Society, 2020 - Wiley Online Library
With the rapid development of intelligent transportation, intelligent algorithms and path
planning have become effective methods to relieve traffic pressure. Intelligent algorithm can …

[PDF][PDF] A scalable big data framework for real-time traffic monitoring system

WYH Adoni, T Nahhal, NB Aoun… - Journal of Computer …, 2022 - researchgate.net
In this study, a scalable and real-time intelligent transportation system based on a big data
framework is presented. The proposed system allows for the use of existing data from road …