Survey and taxonomy of clustering algorithms in 5G
The large-scale deployment of fifth generation (5G) is expected to produce a massive
amount of data with high variability due to ultra-densification and the rapid increase in a …
amount of data with high variability due to ultra-densification and the rapid increase in a …
[HTML][HTML] Knowledge-defined networking: Applications, challenges and future work
Future 6G wireless communication systems are expected to feature intelligence and
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
automation. Knowledge-defined networking (KDN) is an evolutionary step toward …
Large-scale multiple criteria decision-making with missing values: project selection through TOPSIS-OPA
Nowadays, with the development of information management infrastructures in
organizations and the improvement of the data storage process, managers are looking for …
organizations and the improvement of the data storage process, managers are looking for …
Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things
Abstract Internet of Things (IoT) consists of a huge number of sensors along with physical
things to gather and forward data intelligently. Green IoT applications based on Wireless …
things to gather and forward data intelligently. Green IoT applications based on Wireless …
[Retracted] Early Warning of Financial Risk Based on K‐Means Clustering Algorithm
Z Zhu, N Liu - Complexity, 2021 - Wiley Online Library
The early warning of financial risk is to identify and analyze existing financial risk factors,
determine the possibility and severity of occurring risks, and provide scientific basis for risk …
determine the possibility and severity of occurring risks, and provide scientific basis for risk …
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites
Abstract N4-methylcytosine (4mC), as a DNA modification, plays a crucial role in epigenetic
regulation. However, the existing experimentation methods for accurately identifying 4mC …
regulation. However, the existing experimentation methods for accurately identifying 4mC …
GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks
Abstract Opportunistic IoT (OppIoT) network is a subclass of Internet of Things network, in
which connections between the source and destination devices are intermittent. This …
which connections between the source and destination devices are intermittent. This …
An intelligent buffalo-based secure edge-enabled computing platform for heterogeneous IoT network in smart cities
The Internet of Things (IoT) based smart city applications are the latest technology-driven
solutions designed to collect and analyze data to enhance the quality of life for urban …
solutions designed to collect and analyze data to enhance the quality of life for urban …
An optimized message routing approach inspired by the landlord-peasants game in disruption-tolerant networks
Z Ghafouri-ghomi, MH Rezvani - Ad Hoc Networks, 2022 - Elsevier
Disruption-tolerant networks (DTNs) have emerged as a paradigm shift for environments that
may not have a continuous network connection. Although DTNs were originally designed for …
may not have a continuous network connection. Although DTNs were originally designed for …
Evaluating forwarding protocols in opportunistic networks: trends, advances, challenges and best practices
A variety of applications and forwarding protocols have been proposed for opportunistic
networks (OppNets) in the literature. However, the methodology of evaluation, testing and …
networks (OppNets) in the literature. However, the methodology of evaluation, testing and …