Edge AI: A taxonomy, systematic review and future directions

SS Gill, M Golec, J Hu, M Xu, J Du, H Wu, GK Walia… - Cluster …, 2025 - Springer
Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

From Simulators to Digital Twins for Enabling Emerging Cellular Networks: A Tutorial and Survey

M Manalastas, MUB Farooq, SMA Zaidi… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Simulators are indispensable parts of the research and development necessary to advance
countless industries, including cellular networks. With simulators, the evaluation, analysis …

Stochastic modeling for intelligent software-defined vehicular networks: A survey

B Ravi, B Varghese, I Murturi, PK Donta, S Dustdar… - Computers, 2023 - mdpi.com
Digital twins and the Internet of Things (IoT) have gained significant research attention in
recent years due to their potential advantages in various domains, and vehicular ad hoc …

An efficient extraction method of journal-article table data for data-driven applications

J Deng, G Liu, L Wang, J Liang, B Dai - Information Processing & …, 2025 - Elsevier
To improve the accuracy and automation of table extraction from journal articles, we present
an efficient method for automatically extracting data from tables in PDF-based journal …

Atr harmonisar: A system for enhancing victim detection in robot-assisted disaster scenarios

S Mahmud, AA Fime, JH Kim - IEEE Access, 2024 - ieeexplore.ieee.org
As our world increasingly faces various disastrous events, there is an urgent need for
improved methods of disaster response, particularly for the detection of victims trapped in …

Designing future wireless networks (FWN) s with net zero (NZ) and zero touch (ZT) perspective

WB Abbas, QZ Ahmed, FA Khan, NS Mian… - IEEE …, 2023 - ieeexplore.ieee.org
Recent research in Future Wireless Networks (FWN) s have primarily focused on improving
spectral and energy efficiency, emphasizing less on reducing power consumption. Studies …

[HTML][HTML] Enhancing Indoor Localization Accuracy through Multiple Access Point Deployment

T Aziz, K Insoo - Electronics, 2024 - mdpi.com
This study addresses the limitations of wireless local area networks in indoor localization by
utilizing Extra-Trees Regression (ETR) to estimate locations based on received signal …

Toward the Development of 6G System Level Simulators: Addressing the Computational Complexity Challenge

M Manalastas, MU bin Farooq… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
The advancement and standardization of the cellular network system require thorough
investigation, analysis, and experimentation of novel protocols, architectures, and …

Time-series prediction using nature-inspired small models and curriculum learning

S Bothe, H Farooq, J Forgeat… - 2023 IEEE 34th Annual …, 2023 - ieeexplore.ieee.org
As wireless cellular networks evolve from one generation to the next, the associated
challenges in terms of compute, latency, and energy efficiency are continuously on the rise …

Uncertainty-Aware RSRP Prediction on MDT Measurements Through Bayesian Learning

L Eller, P Svoboda, M Rupp - 2024 IEEE International Black …, 2024 - ieeexplore.ieee.org
Accurate and efficient propagation modeling is a key requirement for radio planning in
cellular networks. Here, deep learning has recently shown promising performance in real …