A new coefficient of rankings similarity in decision-making problems
Multi-criteria decision-making methods are tools that facilitate and help to make better and
more responsible decisions. Their main objective is usually to establish a ranking of …
more responsible decisions. Their main objective is usually to establish a ranking of …
From A-to-Z review of clustering validation indices
Data clustering involves identifying latent similarities within a dataset and organizing them
into clusters or groups. The outcomes of various clustering algorithms differ as they are …
into clusters or groups. The outcomes of various clustering algorithms differ as they are …
Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology
This study aimed to develop a new methodology for evaluating and benchmarking a multi-
agent learning neural network and Bayesian model for real-time skin detectors based on …
agent learning neural network and Bayesian model for real-time skin detectors based on …
Improving supply chain collaboration through operational excellence approaches: an IoT perspective
Purpose Collaboration is an important emerging dimension of sustainable supply chain
management. How to improve supply chain collaboration (SCC) by means of operational …
management. How to improve supply chain collaboration (SCC) by means of operational …
A multi-criteria analysis for an internet of things application recommendation system
Various internet of things applications are available that cover every aspect of daily life and
users can subscribe to numerous IoT applications. Selecting the most suitable IoT …
users can subscribe to numerous IoT applications. Selecting the most suitable IoT …
QoS-aware selection of IoT-based service
With the proliferation of a number of IoT-based service providers in the market, it would be
difficult to select a suitable IoT service as per the requirement among the vast pool of …
difficult to select a suitable IoT service as per the requirement among the vast pool of …
Selection of optimal software reliability growth models using an integrated entropy–Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) …
A large number of software reliability growth models (SRGMs) have been studied to estimate
the reliability of software systems over the past 40 years. Different models have been …
the reliability of software systems over the past 40 years. Different models have been …
Case studies with the Contiki-NG Simulator to design strategies for sensors' communication optimization in an IoT-Fog ecosystem
With the development of mobile communications and the Internet of Things (IoT), IoT devices
have increased, allowing their application in numerous areas of Industry 4.0. Applications on …
have increased, allowing their application in numerous areas of Industry 4.0. Applications on …
Clustering algorithms in an educational context: An automatic comparative approach
Despite an increasing consensus regarding the significance of properly identifying the most
suitable clustering method for a given problem, a surprising amount of educational research …
suitable clustering method for a given problem, a surprising amount of educational research …
Extending CloudSim to simulate sensor networks
With the enormous growth of sensing devices tending to the use of Internet of everything,
data aggregated by these devices are the biggest data streams generated in the history of …
data aggregated by these devices are the biggest data streams generated in the history of …