Listar por tema "K-means"
Mostrando ítems 1-5 de 5
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An Effective Tool for the Experts' Recommendation Based on PROMETHEE II and Negotiation: Application to the Industrial Maintenance
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)In this article, we propose an expert recommendation tool that relies on the skills of experts and their interventions in collaboration. This tool provides us with a list of the most appropriate (effective) experts to solve ... -
Automatic Irony Detection using Feature Fusion and Ensemble Classifier
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)With the advent of micro-blogging sites, users are pioneer in expressing their sentiments and emotions on global issues through text. Automatic detection and classification of sentiments like sarcastic or ironic content ... -
Comparative study on ant colony optimization (ACO) and K-Means clustering approaches for jobs scheduling and energy optimization model in Internet of Things (IoT)
(International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ... -
Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT)
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2020)The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ... -
Using Grip Strength as a Cardiovascular Risk Indicator Based on Hybrid Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)This article shows the application and design of a hybrid algorithm capable of classifying people into risk groups using data such as prehensile strength, body mass index and percentage of fat. The implementation was done ...
