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Αποτελέσματα 8697-8716 από 49724
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Future research on european union cohesion policy: A master class during the open days 2014
(2015)[No abstract available] -
FutureFarm: Addressing the needs of the European farm of the future: Findings of the first two years
(2010)In the future, European farmers will have to effectively manage information on and off their farms to improve economic viability and to reduce environmental impact. To this end, an integrated information system is needed ... -
A Fuzzy and a Monte Carlo simulation approach to assess sustainability and rank vehicles in urban environment
(2017)The selection and assessment of new vehicle technologies and mobility solutions to stimulate sustainable transportation planning becomes challenging, due to lack of frameworks and tools that are capable of considering the ... -
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
(2011)This work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, ... -
Fuzzy cognitive map-based modeling of social acceptance to overcome uncertainties in establishing waste biorefinery facilities
(2018)Sustainable Waste Biorefinery Facilities (WBFs) represent multifactorial systems that necessitate the organization, cooperation and the acceptance of different social stakeholders. However, these attempts have become targets ... -
Fuzzy cognitive map-based sustainable socio-economic development planning for rural communities
(2020)Every development and production process needs to operate within a circular economy to keep the human being within a safe limit of the planetary boundary. Policymakers are in the quest of a powerful and easy-to-use tool ... -
Fuzzy cognitive maps and multi-step gradient methods for prediction: Applications to electricity consumption and stock exchange returns
(2015)The paper focuses on the application of fuzzy cognitive map (FCM) with multi-step learning algorithms based on gradient method and Markov model of gradient for prediction tasks. Two datasets were selected for the implementation ... -
Fuzzy Cognitive Maps for Interpretable Image-based Classification
(2022)Image classification is a fundamental component of intelligent vision systems. Developing classifiers capable of explaining how or why a classification result occurs, in a way compatible with human perception, remains a ... -
Fuzzy cognitive maps optimization for decision making and prediction
(2020)Representing and analyzing the complexity of models constructed by data is a difficult and challenging task, hence the need for new, more effective techniques emerges, despite the numerous methodologies recently proposed ... -
Fuzzy control system for smart energy management in residential buildings based on environmental data
(2021)Modern energy automation solutions and demand response applications rely on load profiles to monitor and manage electricity consumption effectively. The introduction of smart control systems capable of handling additional ... -
A fuzzy decision tree-based SVM classifier for assessing osteoarthritis severity using ground reaction force measurements
(2010)A novel fuzzy decision tree-based SVM (FDT-SVM) classifier is proposed in this paper, to distinguish between asymptotic (AS) and osteoarthritis (OA) knee gait patterns and to investigate OA severity using 3-D ground reaction ... -
Fuzzy Guided Autonomous Nursing Robot through Wireless Beacon Network
(2022)Robotics is one of the most emerging technologies today, and are used in a variety of applications, ranging from complex rocket technology to monitoring of crops in agriculture. Robots can be exceptionally useful in a smart ... -
A fuzzy index for detecting spatiotemporal outliers
(2012)The detection of spatial outliers helps extract important and valuable information from large spatial datasets. Most of the existing work in outlier detection views the condition of being an outlier as a binary property. ... -
A fuzzy inference system to model grape quality in vineyards
(2014)Fuzzy inference systems (FIS) are particularly suited for aggregating multiple data to feed multi-variables decision support systems. Moreover, grape quality is a complex concept that refers to the simultaneous achievement ... -
Fuzzy modeling of user behaviors and virtual goods purchases in social networking platforms
(2016)An important aspect of managing social platforms, online games and virtual worlds is the analysis of user characteristics related to subscriptions and virtual goods purchases. The results of such a process could be adopted ... -
Fuzzy polynucleotide spaces and metrics
(2006)The study of genetic sequences is of great importance in biology and medicine. Mathematics is playing all important role in the study of genetic sequences and. generally, in bioinformatics. In this paper, we extend the ... -
Fuzzy Pooling
(2021)Convolutional neural networks (CNNs) are artificial learning systems typically based on two operations: convolution, which implements feature extraction through filtering, and pooling, which implements dimensionality ... -
Fuzzy regression analysis: An application on tensile strength of materials and hardness scales
(2012)In the present paper we use fuzzy linear regression analysis and fuzzy similarity to investigate the relation of various hardness scales to tensile strength of materials. We examine the relation of the Vickers, Brinell, ... -
Fuzzy sets in seismic inelastic analysis and design of reinforced concrete frames
(2003)In this paper, a new approach to the problem of estimating the structural response of systems with uncertain characteristics is presented. The approach is based on the theory of fuzzy sets, which allow the designers to ...