Search Results - (( mobile application usage algorithm ) OR ( _ application colony algorithm ))
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Context Aware Handover Algorithms For Mobile Positioning Systems
Published 2014“…Battery usage of the proposed solution is less than one third of the battery usage of two other applications. …”
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Article -
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Embedded parallel distributed artificial intelligent processors for adaptive beam forming in WCDMA system
Published 2023“…Adaptive antenna has dynamic beam to cater for users' needs and provides better capacity for mobile communication but requires more intelligent and advance beam forming algorithm such as genetic algorithm. …”
Conference paper -
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IMPLEMENTATION OF GRAPH BASED PATH PLANNING ALGORITHMS FOR INDOOR NAVIGATION
Published 2018“…Thus, the A* algorithm is implemented in a small mobile robot, this is to see its effectiveness in real world application. …”
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Interacted Multiple Ant Colonies for Search Stagnation Problem
Published 2010“…Ant Colony Optimization (ACO) is a successful application of swarm intelligence. …”
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Thesis -
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WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
Published 2023Conference paper -
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A New Mobile Botnet Classification based on Permission and API Calls
Published 2024“…Mostly, it attacks Android due to its popularity and high usage among end users. Every day, more and more malicious mobile applications (apps) with the botnet capability have been developed to exploit end users' smartphones. …”
Proceedings Paper -
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A new multiple ant colonies optimization algorithm utilizing average pheromone evaluation mechanism
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Conference or Workshop Item -
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Ant colony optimization algorithm for dynamic scheduling of jobs in computational grid
Published 2012“…Job scheduling problem is classified as an NP-hard problem.Such a problem can be solved only by using approximate algorithms such as heuristic and meta-heuristic algorithms.Among different optimization algorithms for job scheduling, ant colony system algorithm is a popular meta-heuristic algorithm which has the ability to solve different types of NP-hard problems.However, ant colony system algorithm has a deficiency in its heuristic function which affects the algorithm behavior in terms of finding the shortest connection between edges.This research focuses on a new heuristic function where information about recent ants’ discoveries has been considered.The new heuristic function has been integrated into the classical ant colony system algorithm.Furthermore, the enhanced algorithm has been implemented to solve the travelling salesman problem as well as in scheduling of jobs in computational grid.A simulator with dynamic environment feature to mimic real life application has been development to validate the proposed enhanced ant colony system algorithm. …”
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Monograph -
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Ant colony algorithm for job scheduling in grid computing
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Conference or Workshop Item -
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A new mobile botnet classification based on permission and API calls
Published 2024Conference Paper -
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Low and high level hybridization of ant colony system and genetic algorithm for job scheduling in grid computing
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Conference or Workshop Item -
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Novel scheduling algorithm for optimizing real-time multimedia performance in Long-Term Evolution Advanced
Published 2017“…Real-time multimedia applications are becoming increasingly popular among mobile cellular users. …”
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Article -
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Dynamic characterized genetic algorithm for adaptive beam forming in WCDMA system
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Proceeding Paper -
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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