[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Sustainable Cities and …, 2022 - Elsevier
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …

A systematic review of localization in WSN: Machine learning and optimization‐based approaches

P Yadav, SC Sharma - International journal of communication …, 2023 - Wiley Online Library
In recent years, wireless sensor networks (WSNs) have been widely used in various
applications. The localization problem has been identified as one of the biggest problems …

Transfer learning for disruptive 5G-enabled industrial internet of things

RWL Coutinho, A Boukerche - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Internet of things (IoT) and 5G network are fundamental building blocks for industrial IoT
(IIoT). IoT has enabled real-time monitoring and actuation in industrial floors and machinery …

Uncovering the potential of indoor localization: Role of deep and transfer learning

O Kerdjidj, Y Himeur, SS Sohail, A Amira, F Fadli… - IEEE …, 2024 - ieeexplore.ieee.org
Indoor localization (IL) is a significant topic of study with several practical applications,
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …

Unveiling the cutting edge: A comprehensive survey of localization techniques in WSN, leveraging optimization and machine learning approaches

P Yadav, SC Sharma - Wireless Personal Communications, 2023 - Springer
Sensor node localization is an important feature of many applications, including wireless
sensor networks and location-based services. The accurate localization of sensor nodes …

Novel metaheuristic based on multiverse theory for optimization problems in emerging systems

E Hosseini, KZ Ghafoor, A Emrouznejad, AS Sadiq… - Applied …, 2021 - Springer
Finding an optimal solution for emerging cyber physical systems (CPS) for better efficiency
and robustness is one of the major issues. Meta-heuristic is emerging as a promising field of …

[HTML][HTML] An efficient indoor localization for smartphone users: Hybrid metaheuristic optimization methodology

A Raj, SD Shetty, CS Rahul - Alexandria Engineering Journal, 2024 - Elsevier
Access points (APs) are used to define coordinates in an indoor positioning system with Wi-
Fi. These systems utilize existing infrastructure and Wi-Fi APs to find out the exact location of …

An IoT-based COVID-19 prevention and control system for enclosed spaces

C Yang, W Wang, F Li, D Yang - Future Internet, 2022 - mdpi.com
To date, the protracted pandemic caused by the severe acute respiratory syndrome
coronavirus 2 (SARS-CoV-2) has had widespread ramifications for the economy, politics …

Novel integrated matching algorithm using a deep learning algorithm for Wi-Fi fingerprint-positioning technique in the indoors-IoT era

SM Asaad, HS Maghdid - PeerJ Computer Science, 2023 - peerj.com
Abstract The Internet-of-Things (IoT) has been used with greater frequency to track peoples'
daily activities, particularly those conducted indoors. Wi-Fi technology has been also been …

[HTML][HTML] Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures

TG Hailu, X Guo, H Si, L Li… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
In the era of the Internet of Things (IoT), the demand for accurate positioning services has
become increasingly critical, as location-based services (LBSs) depend on users' location …