Edge AI: A taxonomy, systematic review and future directions
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 …
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
Simulators are indispensable parts of the research and development necessary to advance
countless industries, including cellular networks. With simulators, the evaluation, analysis …
countless industries, including cellular networks. With simulators, the evaluation, analysis …
Stochastic modeling for intelligent software-defined vehicular networks: A survey
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 …
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 …
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 …
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
Recent research in Future Wireless Networks (FWN) s have primarily focused on improving
spectral and energy efficiency, emphasizing less on reducing power consumption. Studies …
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 …
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
The advancement and standardization of the cellular network system require thorough
investigation, analysis, and experimentation of novel protocols, architectures, and …
investigation, analysis, and experimentation of novel protocols, architectures, and …
Time-series prediction using nature-inspired small models and curriculum learning
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 …
challenges in terms of compute, latency, and energy efficiency are continuously on the rise …
Uncertainty-Aware RSRP Prediction on MDT Measurements Through Bayesian Learning
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 …
cellular networks. Here, deep learning has recently shown promising performance in real …