Special issue on distributed computing and artificial intelligence
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منابع مشابه
Special Issue on Distributed Computing and Artificial Intelligence
There is a wide range of military and civil applications where Wireless Sensor Networks (WSNs) and MultiAgent Systems (MASs) can be used for providing contextawareness for troops and special corps. On the one hand, WSNs comprise an ideal technology to develop Real-Time Locating Systems (RTLSs) aimed at indoor environments, where existing global navigation satellite systems do not work properly....
متن کاملSpecial Issue on Distributed Computing and Artificial Intelligence
-6Abstract —Over recent years, Genetic Algorithms have proven to be an appropriate tool for solving certain problems. However, it does not matter if the search space has several valid solutions, as their classic approach is insufficient. To this end, the idea of dividing the individuals into species has been successfully raised. However, this solution is not free of drawbacks, such as the emerg...
متن کاملSpecial Issue on Distributed Computing and Artificial Intelligence
Grid infrastructure is a large set of nodes geographically distributed and connected by a communication. In this context, fault tolerance is a necessity imposed by the distribution that poses a number of problems related to the heterogeneity of hardware, operating systems, networks, middleware, applications, the dynamic resource, the scalability, the lack of common memory, the lack of a common ...
متن کاملSpecial Issue on Artificial Intelligence IJACSA Special Issue Guest Editor
The main aim of this study is to develop part-of-speech tagger for Afaan Oromo language. After reviewing literatures on Afaan Oromo grammars and identifying tagset and word categories, the study adopted Hidden Markov Model (HMM) approach and has implemented unigram and bigram models of Viterbi algorithm. Unigram model is used to understand word ambiguity in the language, while bigram model is u...
متن کاملSpecial Issue on Artificial Intelligence and Social Application
This paper presents a learning environment where a mining algorithm is used to learn patterns of interaction with the user and to represent these patterns in a scheme called item descriptors. The learning environment keeps theoretical information about subjects, as well as tools and exercises where the student can put into practice the knowledge gained. One of the main purposes of the project i...
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ژورنال
عنوان ژورنال: Frontiers of Information Technology & Electronic Engineering
سال: 2016
ISSN: 2095-9184,2095-9230
DOI: 10.1631/fitee.dcai2015