[HTML][HTML] Precision agriculture using IoT data analytics and machine learning

R Akhter, SA Sofi - Journal of King Saud University-Computer and …, 2022 - Elsevier
In spite of the insight commonality may have concerning agrarian practice, fact is that
nowadays agricultural science diligence is accurate, precise, data-driven, and vigorous than …

A comprehensive survey on machine learning-based big data analytics for IoT-enabled smart healthcare system

W Li, Y Chai, F Khan, SRU Jan, S Verma… - Mobile networks and …, 2021 - Springer
The outbreak of chronic diseases such as COVID-19 has made a renewed call for providing
urgent healthcare facilities to the citizens across the globe. The recent pandemic exposes …

Price and risk awareness for data offloading decision-making in edge computing systems

G Mitsis, EE Tsiropoulou… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The proliferation of multiaccess edge computing (MEC) paradigm has created a challenging
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …

Beyond massive MIMO: The potential of positioning with large intelligent surfaces

S Hu, F Rusek, O Edfors - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
We consider the potential for positioning with a system where antenna arrays are deployed
as a large intelligent surface (LIS), which is a newly proposed concept beyond massive multi …

Blockchain-empowered multi-robot collaboration to fight COVID-19 and future pandemics

SH Alsamhi, B Lee - Ieee Access, 2020 - ieeexplore.ieee.org
This conceptual paper overviews how blockchain technology is involving the operation of
multi-robot collaboration for combating COVID-19 and future pandemics. Robots are a …

CSEdge: Enabling collaborative edge storage for multi-access edge computing based on blockchain

L Yuan, Q He, F Chen, J Zhang, L Qi… - … on Parallel and …, 2021 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC), as an extension of cloud computing, provides storage
resources at the network edge to enable low-latency data retrieval for users. Due to limited …

Integration of D2D, network slicing, and MEC in 5G cellular networks: Survey and challenges

L Nadeem, MA Azam, Y Amin, MA Al-Ghamdi… - IEEE …, 2021 - ieeexplore.ieee.org
With the tremendous demand for connectivity anywhere and anytime, existing network
architectures should be modified. To cope with the challenges that arise due to the …

Weighted mean of vectors optimization algorithm and its application in designing the power system stabilizer

V Snášel, RM Rizk-Allah, D Izci, S Ekinci - Applied Soft Computing, 2023 - Elsevier
Accurate design of the power system stabilizer (PSS) models is a crucial issue due to their
significant impact on the stability of power system operation. However, identifying the …

Self-adaptive resources allocation-based differential evolution for constrained evolutionary optimization

K Qiao, J Liang, K Yu, M Yuan, B Qu, C Yue - Knowledge-Based Systems, 2022 - Elsevier
When using evolutionary algorithms to address constrained optimization problems, it is
important to balance not only the diversity and convergence but also the constraints and …

Multi-sensor fusion for underwater vehicle localization by augmentation of rbf neural network and error-state kalman filter

N Shaukat, A Ali, M Javed Iqbal, M Moinuddin, P Otero - Sensors, 2021 - mdpi.com
The Kalman filter variants extended Kalman filter (EKF) and error-state Kalman filter (ESKF)
are widely used in underwater multi-sensor fusion applications for localization and …