Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 53 for “"Soft Computing"”.
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Situation recognition using soft computing techniques
… from normal operation. In recent years, soft computing methods and algorithms have been applied to data mining to identify patterns and provide new insight into data. This thesis revisits the issue of situation recognition for systems producing massive datasets by assessing the relevance …
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Soft computing techniques in power system analysis
Soft computing is a concept that has come into prominence in recent times and its application to power system analysis is still more recent. This thesis explores the application of soft computing techniques in the area of voltage stability of power systems. Soft computing, as opposed to …
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An Intelligent Soft-Computing Texture Classification System
… techniques, of statistical methods and of soft-computing methods was made to identify those that can be used or improved for the Texture Classification System.<br/><br/>A major objective was to create the structure of the Texture Classification System. The design presented in this work is …
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Intrusion detection, intelligent agents, and soft computing
… various behaviors is studied. We also consider soft computing approaches due to their ability to handle perceptual information. The results from these agents are aggregated as a group decision. This provides fewer false-positives and improved classification compared to many IDSs that use a …
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Soft computing based parameter identification in pavements and geomechanical systems
… this inverse problem. The algorithm is based on soft computing techniques, mainly Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) as well as the use of numerical analysis techniques to properly simulate the geomechanical system. A widely used pavement layered analysis program …
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Dynamic non-linear system modelling using wavelet-based soft computing techniques
… integrate a priori knowledge into the procedure. Soft computing based models in particular, can successfully be applied in cases of highly nonlinear problems. A further reason for dealing with so called soft computational model based techniques is that in real-world cases, many times only partial, …
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Soft Computing To Sensor Network Reliability, Systems And Their Fpga Implementation
<p>Soft Computing(SC) has emerged as an effective candidate to deal with complex problems like unmanned Ground Vehicles Reliability(UGVR), Crack Detection and Impact Source Identification (CDISI) where there is lack of precision, certainty and complete truth. This dissertation describes some novel …
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Modeling Transportation Problems Using Concepts of Swarm Intelligence and Soft Computing
Many real-world problems could be formulated in a way to fit the necessary form for discrete optimization. Discrete optimization problems can be solved by numerous different techniques that have developed over time. Some of the techniques provide optimal solution(s) to the problem and some of them …
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The performance of soft computing techniques on content-based SMS spam filtering
… features and cause undesired performance. Soft computing approaches have been applied successfully in content-based spam filtering. In order to enhance soft computing performance, suitable feature subset should be selected. Therefore, this research investigates how well suited three soft …
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Soft Computing-based Life-Cycle Cost Analysis Tools for Transportation Infrastructure Management
… was to develop enhanced LCCA models using soft computing (mainly fuzzy logic) techniques. The proposed models use available "real-world" information to forecast life-cycle costs of competing maintenance and rehabilitation strategies and support infrastructure management decisions. A …
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Network-level maintenance decisions for flexible pavement using a soft computing-based framework
… system (PMS) is one that is guided by a software program that ensures that all pavement sections are maintained at adequately high serviceability levels and structural conditions with a low budget and resource usage, without causing any significant negative effect on environment, safe …
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Diseño de circuitos para tratamiento de imágenes aplicando técnicas basadas en soft computing
La Tesis que se presenta se enmarca en el campo de aplicación del desarrollo de sistemas para el procesado de imágenes. Dentro de esta área se pretende dar soluciones a algunos de los problemas que aparecen a la hora de realizar el tratamiento de bajo niv
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Soft computing y aprendizaje automático para la segmentación de imágenes con modelos deformables
Among computer vision processes, Image Segmentation (IS) is a key task. It subdivides an image into its constituent regions or objects sharing certain visual characteristics. Among IS techniques, Deformable Models (DMs) are promising approaches that tackle the problem by exploiting constraints …
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Development and application of soft computing and data mining techniques in hot dip galvanising
… historical information, combining different soft computing techniques. These improved the estimation of temperature set points for the annealing furnace on a galvanising line. The contributions presented in this doctoral thesis provide evidence of the huge potential that data mining has for …
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Modelling temporal patterns using soft computing techniques. Application to the analysis of human body movements
… applied different concepts and techniques from Soft Computing since they are able to deal with this variability. In general terms, two different approaches has been studied in this thesis: • Prediction-Error-Classification approach. It consists of generating a signal predictor for each pattern …
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Use of soft computing pattern recognition techniques to analyse tropical cyclones from meteorological satellite data
… techniques can be successfully automated using soft computing based pattern recognition algorithms in order to process a diverse range of meteorological satellite imagery. This can be essential in the understanding of the detection of cloud patterns occurring in natural disasters such as …
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Numerical-Informational methodology for characterising steel bolted components coupling finite element simulations and soft computing techniques
… utilised to train informational models based on soft computing (SC). A genetic algorithm (GA) optimisation is included to set up model parameters and select the most relevant input variables for predicting the force-displacement response. Taken together, the proposed methodology is capable of …
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Performance of maximum power point tracking by using conventional and soft computing techniques during partial shading conditions
… that are classified into conventional and soft computing. This work demonstrates the performance of three types of MPPT techniques for the PV system during partial shading conditions (PSC), where 25% and 50% shaded weather profile applied to the system. The system also subjected to a …
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E-banking operational risk assessment. A soft computing approach in the context of the Nigerian banking industry.
This study investigates E-banking Operational Risk Assessment (ORA) to enable the development of a new ORA framework and methodology. The general view is that E-banking systems have modified some of the traditional banking risks, particularly Operational Risk (OR) as suggested by the Basel …
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