Quantum-inspired particle swarm optimization for efficient IoT service placement in edge computing systems
With the advancement of the 5G networks, edge computing (EC) assisted Internet of Things
(IoT) based applications demand real-time computation and high-volume data-intensive …
(IoT) based applications demand real-time computation and high-volume data-intensive …
Identification and selection of building façade's smart materials according to sustainable development goals
Buildings consume vast amounts of energy and pollute the environment in various ways.
Façade is a part of building's architecture that can play a significant role in reducing energy …
Façade is a part of building's architecture that can play a significant role in reducing energy …
Long term and short term forecasting of horticultural produce based on the LSTM network model
Forecasting the price of agricultural produce helps grower decide planting, harvesting, and
trading time. Price forecasting of crops has garnered many researchers' attention, hence …
trading time. Price forecasting of crops has garnered many researchers' attention, hence …
An echo state network model with the protein structure for time series prediction
Y Gong, S Lun, M Li, X Lu - Applied Soft Computing, 2024 - Elsevier
From the perspective of bionics of biological structure, this paper proposes a new reservoir
topology structure with an α-helix form of the secondary protein, named S-ESN. This network …
topology structure with an α-helix form of the secondary protein, named S-ESN. This network …
Study on ppg biometric recognition based on multifeature extraction and naive bayes classifier
J Yang, Y Huang, R Zhang, F Huang… - Scientific …, 2021 - Wiley Online Library
Nowadays, the method of simple‐feature extraction has been extensively studied and is
used in PPG biometric recognition; some promising results have been reported. However …
used in PPG biometric recognition; some promising results have been reported. However …
A fast convergence RDVM for router placement in WMNs: performance comparison of FC-RDVM with RDVM by WMN-PSOHC hybrid intelligent system
Abstract Wireless Mesh Networks (WMNs) have many advantages such as easy
maintenance, low upfront cost and high robustness. However, WMNs have some problems …
maintenance, low upfront cost and high robustness. However, WMNs have some problems …
Quantum-inspired differential evolution with decoding using hashing for efficient user allocation in edge computing environment
Modern apps require high computing resources for real-time data processing, allowing app
users (AUs) to access real-time information. Edge computing (EC) provides dynamic …
users (AUs) to access real-time information. Edge computing (EC) provides dynamic …
Survey on social awareness towards energy conservation and ESD lesson on biofuel as a renewable energy source
Abstract The Sustainable Development Goal (SDG) 7 aims to ensure that all people have
access to affordable, reliable, sustainable, and clean energy by 2030. Therefore, the …
access to affordable, reliable, sustainable, and clean energy by 2030. Therefore, the …
A cloud service composition method using a fuzzy-based particle swarm optimization algorithm
In today's dynamic business landscape, organizations heavily rely on cloud computing to
leverage the power of virtualization and resource sharing. Service composition plays a vital …
leverage the power of virtualization and resource sharing. Service composition plays a vital …
A comparison study of linearly decreasing inertia weight method and rational decrement of Vmax method for WMNs using WMN-PSOHC intelligent system considering …
Abstract Wireless Mesh Networks (WMNs) are becoming an important networking
infrastructure. However, they have some problems such as node placement, security …
infrastructure. However, they have some problems such as node placement, security …