Search Results - (( java implementation mining algorithm ) OR ( using simulation game algorithm ))
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1
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Thesis -
2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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3
Scalable approach for mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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4
Mining association rules from structured XML data
Published 2009“…Many techniques have been proposed to tackle the problem of mining XML data. We study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.…”
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5
A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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6
Image clustering comparison of two color segmentation techniques
Published 2010“…The clustering research is regarding the area of data mining and implementation of the clustering algorithms. …”
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7
Artificial neural controller synthesis for TORCS
Published 2015“…NPC is an important factor in a game. Player can easily complete the game if the NPC used is too easy to be defeated. …”
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8
Utility-based non-cooperative power control game in wireless environment / Yousef Ali Mohammed Al-Gumaei
Published 2017“…These frameworks are more general and they are applied on cognitive and femtocell networks due to the critical and important issue of interference. Numerical simulations are used to prove the effectiveness of these algorithms compared with other existing power control algorithms. …”
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9
Methods of aircraft trajectory optimisation in air combat
Published 2007“…In mathematical terms air combat can be considered as a game. However, due to the highly nonlinear equations of motion involved, the use of classical games theory is difficult to implement in a computer simulation. …”
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10
Evolving controllers for simulated car racing using differential evolution
Published 2013“…This paper presents an initial approach for creating autonomous controllers for the car racing game using a hybrid technique. The Differential Evolution (DE) algorithm is combined with Feed-forward Artificial Neural Networks (FFANNs) to generate the required intelligent controllers in a well-known car racing game, namely The Open Racing Car Simulator (TORCS). …”
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11
Automatic generation of multi-objective neural game controllers using Pareto-based differential evolution
Published 2010“…RTS games generally are war simulation. The game features of RTS game are very similar to a real war where player will have to manage their resource income while planning their army, technology, attack location, attack time and much more. …”
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Research Report -
12
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
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13
Optimal power control game for primary-secondary user in cognitive radio network
Published 2010“…In cognitive radio network (CRN), the utilities results in Nash equilibrium of power control game without using pricing are inefficient. In this paper, a distributed power control algorithm is proposed to improve the utilities of both primary user (PU) and secondary users (SUs) in the CRN based on game theoretic framework. …”
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14
Energy-efficient communications in wireless powered cognitive radio networks based on game theory / Fadhil Mukhlif Aswad Al-Obaidy
Published 2020“…In order to prove the effectiveness of such algorithms, numerical solutions are used in comparison with current power control algorithms. …”
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15
Novel distributed algorithm for coalition formation in cognitive radio networks for throughput enhancement using matching theory
Published 2017“…To overcome the limitations of game theory, concepts from matching theory are used. …”
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16
The development of cloud modelling and motion analysis for virtual environment
Published 2005“…The potential industries that highly use RekAwan are weather visualization, film, advertisement, games and flight simulator. …”
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Monograph -
17
The development of cloud modelling and motion analysis for virtual environment
Published 2005“…The potential industries that highly use RekAwan are weather visualization, film, advertisement, games and flight simulator. …”
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18
Distance approximation using pivot point in narrow phase collision detection
Published 2013“…Most computer games and simulation maintain speed as the main important elements while others such as medical and mechanical simulation needs to have a very high precision collision detection technique. …”
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19
Nature-Inspired cognitive evolution to play Ms. Pac-Man
Published 2011“…So far however, there has been little discussion about the effectiveness of the application of these models to computer and video games in particular. The focus of this research is to explore the hybridization of nature-inspired computation methods for optimization of neural network-based cognition in video games, in this case the combination of a neural network with an evolutionary algorithm. …”
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20
Trade-off between energy efficiency and collisions for MAC protocols of wireless sensor network
Published 2015“…In CGT-MAC, after geographically grouped into clusters, all SNs within a cluster based on current traffic conditions select a proper backoff period using the game theory for data transmission. Simulation models have been developed and simulated to verify the performance improvements of the proposed algorithms. …”
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