Abstract—Security risk assessment and mitigation are two vital processes that need to be executed to maintain a productive IT infrastructure. On one hand, models such as attack graphs and attack trees have been proposed to assess the cause-consequence relationships between various network states, while on the other hand, different decision problems have been explored to identify the minimum-cost hardening measures. However, these risk models do not help reason about the causal dependencies between network states. Further, the optimization for ....etc

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Bayesian Networks are becoming an increasingly important area for research and application in the entire field of Artificial Intelligence. This paper explores the nature and implications for Bayesian Networks beginning with an n overview and comparison of inferential statistics and Bayesâ„¢ theorem. The nature, relevance and applicability for Bayesian Network theories for advanced computability form the core of the current discussion. A number of current applications using Bayesian networks are examined. The paper concludes with a brief des ....etc

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Presented by:
SUVENDU NAYAK




OBJECTIVE:
In order to prevent thrombogenesis in the artifical heart, a prototype ultrasound thrombolysis system is developed.
Thrombus formation in artificial hearts remains a key risk factor in the death of patients. So, the system is assumed to work continously, dissolving micro thrombi before they can grow.
The purpose of this study is to develop the system that can be mounted in the artificial heart.

Introduction:
Patients requi ....etc

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Myself BLACK,doing my Engineering final year in PSP college.For my final year project i am working Medical image processing field.Now i want ideas regarding the article Non local means speckle filtering of ultrasound images using Bayesian framework.I have attached the abstract of the project.

Abstract”In image processing, restoration is expected to improve
the qualitative inspection of the image and the performance
of quantitative image analysis techniques. In this paper, an adaptation
of the nonlocal (NL)-means filter is propos ....etc

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Abstract:
Ultrasound Identification is a Real Time Locating System (RTLS) is used to automatically track and identify the location of objects using simple inexpensive nodes (badges/tags) attached to or embedded in objects and devices which then transmit an ultrasound signal to communicate their location to microphone sensors.Ultrasound-based IPS is considered a better alternative to passive Radio-frequency identification (pRFID) in complex indoor environments (such as hospitals), where radio waves may reflect off of metallic or ceramic object ....etc

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Bayesian Networks are becoming an increasingly important area for research and application in the entire field of Artificial Intelligence. This paper explores the nature and implications for Bayesian Networks beginning with an n overview and comparison of inferential statistics and Bayesâ„¢ theorem. The nature, relevance and applicability for Bayesian Network theories for advanced computability form the core of the current discussion.

A number of current applications using Bayesian networks are examined. The paper concludes with a brief ....etc

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Abstract

In foam extrusion, material density is the most significant factor affecting the product cost and therefore the profitability of the manufacturing process. A reduction in the density of extruded parts reduces the raw material cost and therefore increases its profitability. On the other hand, a reduction in foam density degrades the mechanical properties and geometrical accuracy of extruded parts. Therefore, a critical balance has always to be achieved in order to minimize the material cost while maintaining adequate strength and acc ....etc

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how i can design blind Disobeyed that can the blind move without Collide the wall that the distance will be 1m just and then if the blind man Approaching more from the wall then an buzzer will Sounders
please help me >>> ....etc

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ABSTRACT :
Heterogeneous types of gene expressions may provide a better insight into the biological role of gene interaction with the environment, disease development and drug effect at the molecular level. In this paper for both exploring and prediction
purposes a Time Lagged Recurrent Neural Network with trajectory learning is proposed for identifying and classifying the gene functional patterns from the heterogeneous nonlinear time series microarray experiments. The pr ....etc

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Sparse Bayesian Learning Of Filters For Efficient Image Expansion

– Image Processing- Dotnet

We propose a framework for expanding a given image using an interpolator that is trained in advance with training data, based on sparse Bayesian estimation for determining the optimal and compact support for efficient image expansion. Experiments on test data show that learned interpolators are compact yet superior to classical ones. ....etc

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