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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 …
[HTML][HTML] 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 …
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 …
[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 …
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 …
Radio Environment Map Reconstruction Via Tensor Completion: Bayesian and Semantic Approaches
X Wang, F Wang, B He - IEEE Transactions on Vehicular …, 2025 - ieeexplore.ieee.org
The radio environment map (REM) is one of the representations of the wireless
environments, which consists of the spectrum data and enables the users to understand the …
environments, which consists of the spectrum data and enables the users to understand the …