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Fault diagnosis and fault tolerant control
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Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
TLDR
In this study, four different clustering algorithms are tested and compared in the task of fast nuclei segmentation. Expand
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Adaptive selection of neural networks for a committee decision
TLDR
In this paper, we propose an approach for building adaptive, data-dependent, committees, which are specific for each input data point. Expand
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Optimal sensor allocation for parameter estimation in distributed systems
Abstract - Some fundamental results of the modern theory of optimum experimental design are extended here to address the problem of determining the optimal measurement scheduling, encountered whileExpand
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Soft Computing Approaches to Fault Diagnosis for Dynamic Systems
TLDR
Recent approaches to fault detection and isolation for dynamic systems using methods of integrating quantitative and qualitative model information, based upon soft computing (SC) methods. Expand
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Towards Robustness in Neural Network Based Fault Diagnosis
TLDR
Towards Robustness in Neural Network Based Fault Diagnosis Challenging design problems arise regularly in modern fault diagnosis systems. Expand
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COMPUTER-AIDED DIAGNOSIS OF BREAST CANCER USING GAUSSIAN MIXTURE CYTOLOGICAL IMAGE SEGMENTATION 2
TLDR
This paper presents an automatic computer system to breast cancer diagnosis. Expand
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Genetic programming based approaches to identification and fault diagnosis of non-linear dynamic systems
System identification is one of the most important research directions. It is a diverse field which can be employed in many different areas. One of them is the model-based fault diagnosis. Thus, theExpand
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AN EXTENDED UNKNOWN INPUT OBSERVER-BASED APPROACH TO FAULT DIAGNOSIS OF A TWO-TANK SYSTEM
Abstract The paper deals with the problem of designing a bank of extended unknown input observers for fault diagnosis of a two-tank system. In particular, it is shown how to use the idea of anExpand
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