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A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback
TLDR
A content-based image retrieval (CBIR) framework for diverse collection of medical images of different imaging modalities, anatomic regions with different orientations and biological systems is proposed. Expand
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A driver fatigue recognition model based on information fusion and dynamic Bayesian network
TLDR
We propose a driver fatigue recognition model based on the dynamic Bayesian network, information fusion and multiple contextual and physiological features for inferring the fatigue state of a driver. Expand
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Mechanism Design-Based Secure Leader Election Model for Intrusion Detection in MANET
TLDR
In this paper, we study leader election in the presence of selfish nodes for intrusion detection in mobile ad hoc networks and propose a solution based on mechanism design theory. Expand
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A game-theoretic intrusion detection model for mobile ad hoc networks
TLDR
We propose a unified framework that is able to: (1) Balance the resource consumption among all the nodes and thus increase the overall lifetime of a cluster by electing truthfully and efficiently the most cost-efficient node known as leader. Expand
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Wireless Sensor Network Simulators A Survey and Comparisons
Simulation tools for wireless sensor networks are increasingly being used to study sensor webs and to test new applications and protocols in this evolving research field. There is always anExpand
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Fuzzy normal subgroups and fuzzy cosets
TLDR
We introduce here the notion of 1. a fuzzy normal subgroup and 2. (i) a fuzzy coset. Expand
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Palm Vein Extraction and Matching for Personal Authentication
TLDR
We proposed a personal identification system using palm vein biometrics to detect the liveness of a person. Expand
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Medical image retrieval with probabilistic multi-class support vector machine classifiers and adaptive similarity fusion
TLDR
We present a content-based image retrieval framework for diverse collections of medical images of different modalities, anatomical regions, acquisition views, and biological systems based on probabilistic output from multi-class support vector machines. Expand
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Detection of Facial Feature Points Using Anthropometric Face Model
TLDR
This chapter describes an automated technique for detecting the eighteen most important facial feature points using a statistically developed anthropometric face model using a hybrid image processing technique. Expand
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A fuzzy-logic-based approach to project selection
TLDR
Fuzzy logic enables us to emulate the human reasoning process and make decisions based on vague or imprecise data. Expand
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