Search Results - (( development test replication algorithm ) OR ( java loading optimization algorithm ))
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Ant colony optimization algorithm for load balancing in grid computing
Published 2012“…This research proposes an enhancement of the ant colony optimization algorithm that caters for dynamic scheduling and load balancing in the grid computing system. …”
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Monograph -
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing
Published 2011“…This research proposes an Enhanced Ant Colony Optimization (EACO) algorithm that caters dynamic scheduling and load balancing in the grid computing system. …”
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A novel deadlock detection algorithm for neighbour replication on grid environment
Published 2012“…The NRGDD simulation model has been developed to test the algorithm on NRG. Two experiments have been conducted to test the correctness of NRGDD algorithm. …”
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Resource management in grid computing using ant colony optimization
Published 2011“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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Finger-Vein Biometric Identification Using Convolutional Neural Network
Published 2016“…The proposed CNN is tested on a finger-vein database developed in-house that contains 50 subjects with 10 samples from each finger. …”
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR)
Published 2026“…The three main objectives are: (i) to develop a malware RGB image-based dataset and classifier using a parallel CNN (PCNN), (ii) to develop an enhanced parallel deep learning (EPDL) model for malware detection (MD) and build a response system (RS) by applying PCNN, and (iii) to evaluate the developed model with previous studies based on the accuracy rate. …”
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A novel approach to motion modeling using fuzzy cognitive map and artificial potential fields
Published 2010“…A novel decision modeling technique is developed based on capabilities of the fuzzy cognitive map (FCM) and supervised learning using the genetic algorithm (GA). …”
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Access control model based on trust, purpose, and role in materialized view for privacy protection
Published 2019“…A prototype system is developed and tested, and the result shows that sensitive attributes are protected. …”
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Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…Different machine learning algorithms (Artificial Neural Network [ANN], K Nearest Neighbor [KNN] and Support Vector Machine [SVM]) were tested individually and with various ensemble models (bagging, voting, and boosting) to detect the probability of the landslide and rockfall occurrences. …”
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Design and development of a digging device for harvesting sweet potato
Published 2010“…Based on the above information a double row sweet potato harvesting device was designed and developed. The machine was designed and developed at the Mechanization and Automation Centre, Malaysian Agricultural and Development Research Institute (MARDI) workshop. …”
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Thesis -
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