In clinical problems, numerous factors are usually involved in a medical syndrome. New advances in medicine provide a broad range of diagnosis methods to cover all aspects of a disease. However, huge amounts of raw in...
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In clinical problems, numerous factors are usually involved in a medical syndrome. New advances in medicine provide a broad range of diagnosis methods to cover all aspects of a disease. However, huge amounts of raw information may confuse clinicians and decrease decision accuracy. computerized knowledge extraction is an active area of research in medical informatics. This paper suggests a new medical data mining approach using an advanced swarm intelligence data mining algorithm. Considering medical knowledge discovery difficulties, this approach addresses common issues such as missing value management and interactive rule extraction. Here, surgery candidate selection in temporal lobe epilepsy is the main target application. However, the general idea can be applied to other medical knowledge discovery problems. Experimental results show noticeable performance improvement in the final rule-set quality while the method is flexible and fast.
As the Internet becomes more mature and a part of our daily life, the management of its resources to provide guaranteed services is crucial and beyond the capability of every individual network domain. How to maintain...
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ISBN:
(纸本)9781424400027
As the Internet becomes more mature and a part of our daily life, the management of its resources to provide guaranteed services is crucial and beyond the capability of every individual network domain. How to maintain its continuous services in critical conditions is a challenge and would affect the design of next generation network infrastructure. In this paper, we study the survivability of normal traffics under the influences of flooding-based denial of service attacks and propose a potential framework which would reduce such influences. Our research increases the understanding of the behaviors of flooding-based DoS attacks and provides potential trends for developing better malicious attack mitigating solutions. By taking advantages of the survivability of specific flows, the potential mechanisms will not change or only slightly change current network infrastructure and be able to perform quality of service for several existing applications with no or little investment.
Using archetypes is a promising approach in providing semantic interoperability among healthcare systems. To realise archetype based interoperability, the healthcare systems need to discover the existing archetypes, b...
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The focus of this paper is to devise a service-oriented architecture for multi-agents system (called SAM), to reach a wide adoption and routine use of agents, web services, and semantic web technologies. In order to b...
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The focus of this paper is to devise a service-oriented architecture for multi-agents system (called SAM), to reach a wide adoption and routine use of agents, web services, and semantic web technologies. In order to better integrate agents, web applications and information sources in an open and distributed environment such as the Internet, a service matchmaker called middle agent is responsible for registering and spotting services in SAM. In the making of the service matchmaker there are four components involved: (1) a possibilistic Petri-nets (PPN) based service matchmaking mechanism for discovering services, (2) a service description language based on PPN for describing agent services and web services, (3) a set of ontologies for facilitating the semantic matchmaking, and (4) newly-defined extension mechanisms for bridging the linkage between web service standards and the service matchmaker through a translator.
When agents are initially created, they have little knowledge and experience with relatively low capability. They strive to adapt themselves to the changing environment. It is an advantage if they have the ability to ...
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When agents are initially created, they have little knowledge and experience with relatively low capability. They strive to adapt themselves to the changing environment. It is an advantage if they have the ability to learn and evolve. This paper addresses evolution of intelligent agents in transport information system. Fuzzy theory and ontological reasoning approach are proposed as evolution mechanisms, and fuzzy soft goal is introduced to facilitate the evolution process. Genetic programming operators are employed to restructure agents in the proposed multi-agent evolution cycle. We have also built an agent system to demonstrate our approach.
When using tools to automatically generate tests-suites from a specification, the selection of coverage criterion that guides the generation process is of imperative importance. In a previous study that evaluated test...
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This paper is concerned with the derivation of the kinematics model of the University of Tehran-Pole Climbing Robot (UT-PCR). As the first step, an appropriate set of coordinates is selected and used to describe the s...
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In this paper, wavelets as signal processing tools are used to analyze the acceleration data acquired at the cylinder head for the detection and characterization of combustion malfunctions in multi-cylinder industrial...
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Game theory deals with decision-making processes involving two or more parties with partly or completely conflicting interests. The players involved in the game usually make their decisions under conditions of risk or...
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