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Analysis of a Composite Pi/T-Joint Using an FE Model and DIC
An analysis of composite Pi/T-joint was performed through the comparison of a finite element simulation and experimental results obtained using...
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Joining Technologies for Composites and Dissimilar Materials, Volume 10 Proceedings of the 2016 Annual Conference on Experimental and Applied Mechanics
Joining Technologies for Composites and Dissimilar Materials, Volume 10 of the Proceedings of the 2016 SEM Annual Conference & Exposition on...
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Time Series Forecasting Through a Dynamic Weighted Ensemble Approach
Time series forecasting has crucial significance in almost every practical domain. From past few decades, there is an ever-increasing research...
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A Memetic Fuzzy ARTMAP by a Grammatical Evolution Approach
This paper presents a memetic fuzzy ARTMAP (mFAM) model constructed using a grammatical evolution approach. mFAM performs adaptation through a global...
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Stereo-DIC Measurements of Thermal Gradient Effects on the Vibratory Response of Metals
Thermomechanical problems have been much less studied than their room temperature counterparts as challenges arise both with metrology and with...
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Evolving an Adaptive Artificial Neural Network with a Gravitational Search Algorithm
In this paper, a supervised fuzzy adaptive resonance theory neural network, i.e., Fuzzy ARTMAP (FAM), is integrated with a heuristic Gravitational...
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Predicting Financial Distress of Banks Using Random Subspace Ensembles of Support Vector Machines
Models for financial distress predictions of banks are increasingly important tools used as early warning signals for the whole banking systems. In...
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EANN 2012: exploratory analysis of mobile phone traffic patterns using 1-dimensional SOM, clustering and anomaly detection
Mobile network is a continuously evolving system. Recognizing the behaviour of the subscribers helps the operator in managing and develo** the...
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A Learning Based Emotion Classifier with Semantic Text Processing
In this modern era, we depend more and more on machines for day to day activities. However, there is a huge gap between computer and human in...
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EEG seizure detection and prediction algorithms: a survey
Epilepsy patients experience challenges in daily life due to precautions they have to take in order to cope with this condition. When a seizure...
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Geometric nonlinear formulation for thermal-rigid-flexible coupling system
This paper develops geometric nonlinear hybrid formulation for flexible multibody system with large deformation considering thermal effect. Different...
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Neuro-Fuzzy System Based Kernel for Classification with Support Vector Machines
Selection of proper kernel function for SVM is quite a difficult task. The paper presents the SVM with kernel generated by neuro-fuzzy system (NFS)....
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Finding Relevant Dimensions in Application Service Management Control
The increased interest in autonomous control in Application Service Management environments has driven a demand for analysis of multivariate datasets...
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Composite Artificial Neural Network for Controlling Artificial Flying Creature
This paper proposes a composite artificial neural network (CANN). The CANN is a method that contains concepts of an evolutionary artificial neural...
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An Introduction to Contemporary Achievements in Intelligent Systems
The term intelligent systems is used to describe the necessary level of performance required to achieve the system goals. Intelligence has been...
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Separable Linearization of Learning Sets by Ranked Layer of Radial Binary Classifiers
Layers of binary classifiers can be used in transformation of data sets composed of multivariate feature vectors. A new representation of data sets...
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Composite Materials and Joining Technologies for Composites, Volume 7 Proceedings of the 2012 Annual Conference on Experimental and Applied Mechanics
Composite Materials and the First International Symposium on Joining Technologies for Composites, Volume 7: Proceedings of the 2012 Annual Conference...
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Model Updating Using Shape Descriptors from Full-Field Images
The comparison of structural responses (natural frequencies, mode shapes or strain maps) between predictions and measurements is an important step in...
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Integrating Knowledge Management in the Context of Evidence Based Learning: Two Concept Models Aimed at Facilitating the Assessment and Acquisition of Job Knowledge
Within the field of Human Resource Management (HRM), the role of individual knowledge has received limited research attention despite offering the...