Πλοήγηση ανά Θέμα "Fuzzy logic"
Αποτελέσματα 21-37 από 37
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Identification of most important features based on a fuzzy ensemble technique: Evaluation on joint space narrowing progression in knee osteoarthritis patients
(2021)Objective: Feature selection (FS) is a crucial and at the same time challenging processing step that aims to reduce the dimensionality of complex classification or regression problems. Various techniques have been proposed ... -
An intelligent, uncertainty driven aggregation scheme for streams of ordered sets
(2016)Data streams management has attracted the attention of many researchers during the recent years. The reason is that numerous devices generate huge amounts of data demanding an efficient processing scheme for delivering ... -
Introducing Fuzzy Cognitive Maps for decision making in precision agriculture
(2007)A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of ... -
Load management of electric vehicles charging in new generation power markets based on fuzzy logic and the concept of virtual budget
(2019)The aim of the current study is the development and the evaluation of a fully automated controller based on fuzzy logic for the control of the charging time of Electric Vehicles (EVs) based on user's preferences and the ... -
Locational planning for emergency management and response: An artificial intelligence approach
(2012)The efficiency of emergency service systems is measured in terms of their ability to deploy units and personnel in a timely and effective manner upon an event's occurrence. When dealing with public sector institutions, ... -
Multi-robot exploration using dynamic fuzzy cognitive maps and ant colony optimization
(2020)An application field of Multi-Robot Systems (MRS) is within victim rescue operations. The main challenge faced by disaster rescue teams is response time. The chances of finding survivors decrease significantly over time ... -
Normative and fuzzy aspects of medical AI
(2019)Normative and fuzzy aspects of Medical AI are examined and a framework is presented for the purpose of designing architectures that can accommodate the lifelong growth of data and knowledge pertaining to an individual's ... -
A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty
(2018)In this paper, an active Hebbian learning (AHL) for intuitionistic fuzzy cognitive map (iFCM) is proposed for grading the celiac. This method performs the diagnosis procedure automatically, and it is more suitable for ... -
Optimizing Microalgal Biomass Feedstock Selection for Nanocatalytic Conversion Into Biofuel Clean Energy, Using Fuzzy Multi-Criteria Decision Making Processes
(2021)Biofuel production from microalgae non-food feedstock is a challenge for strengthening Green energy nowadays. Reviewing the current technology, there is still reluctance in investing towards the production of new algal ... -
Predictive intelligence to the edge through approximate collaborative context reasoning
(2018)We focus on Internet of Things (IoT) environments where a network of sensing and computing devices are responsible to locally process contextual data, reason and collaboratively infer the appearance of a specific phenomenon ... -
A Proactive Uncertainty Driven Model for Data Synopses Management in Pervasive Applications
(2020)Pervasive computing applications deal with the incorporation of intelligent components around end users to facilitate their activities. Such applications can be provided upon the vast infrastructures of the Internet of ... -
Proactive, uncertainty-driven queries management at the edge
(2021)Research community has already revealed the challenges of data processing when performed at the Cloud that may affect the performance of any desired application. The main challenge is the increased latency observed when ... -
Remotely sensed data fusion for spatiotemporal geostatistical analysis of forest fire hazard
(2020)Forest fires are a natural phenomenon which might have severe implications on natural and anthropogenic ecosystems. Future projections predict that, under a climate change environment, the fire season would be lengthier ... -
A solution for multi-agent resource sharing based on fuzzy logic and particle swarm optimization
(2012)Learning in multi-agent settings is a hard task, since agents learn simultaneously and the actions of each agent affect the environment of the others (and vice versa). In real world applications, such as multi-agent settings ... -
Uncertainty Driven Workflow Scheduling Using Unreliable Cloud Resources
(2020)The Cloud infrastructure offers to end users a broad set of heterogenous computational resources using the pay-as-you-go model. These virtualized resources can be provisioned using different pricing models like the unreliable ... -
Uncertainty-aware visual perception system for outdoor navigation of the visually challenged
(2020)Every day, visually challenged people (VCP) face mobility restrictions and accessibility limitations. A short walk to a nearby destination, which for other individuals is taken for granted, becomes a challenge. To tackle ... -
Uncertainty-driven ensemble forecasting of QoS in Software Defined Networks
(2017)Software Defined Networking (SDN) is the key technology for combining networking and Cloud solutions to provide novel applications. SDN offers a number of advantages as the existing resources can be virtualized and ...