Search Results - (( developing complex cloud algorithm ) OR ( java implication based algorithm ))
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Modeling approach of cloud 4D printing service composition optimization based on non-dominated sorting genetic algorithm III
Published 2024“…The study concludes that the NSGA III algorithm exhibits significant potential in optimizing the orchestration of cloud-based 4D printing service portfolios, underscoring its effectiveness in managing the complexities associated with these services. …”
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A comparative evaluation of heuristic and metaheuristic job scheduling algorithms for optimized resource management in cloud environments
Published 2026“…The selection of an appropriate scheduling algorithm is crucial for ensuring optimal performance, scalability, and resource efficiency as cloud environments become increasingly complex and dynamic. …”
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Honey bee based trust management system for cloud computing
Published 2011“…In this paper, the authors propose the concept that honey bee algorithm which has been developed to solve complex optimization problems can be successfully used to address this issue.The authors have taken a closer look at the optimization problems that had been solved using the honey bee algorithm and the similarity between these problems and the cloud computing environment.Thus concluding that the honey bee algorithm could be successfully used to solve the trust management issue in cloud computing.…”
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Completion time driven hyper-heuristic approach for optimisation of scientific workflow scheduling in cloud environment / Ehab Nabiel Mohammad
Published 2018“…The second stage (i.e. approach development stage) is the development of the proposed CTDHH approach, which includes two main parts, the cost optimisation model of SWFS and the dynamic hyper-heuristic algorithm. …”
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5
Enhancing user authentication for cloud web-based application / Detar Beqo
Published 2018“…It uses an enhanced encryption algorithm, and the data is stored securely in the cloud systems. …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…The problem is even more complex using virtualized clusters in a cloud computing to execute a large number of tasks. …”
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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Monograph -
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The development of cloud modelling and motion analysis for virtual environment
Published 2005“…This invention uses the newly developed randomized algorithm to fill the cloud volume with particle systems. …”
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Critical insight for MAPReduce optimization in Hadoop
Published 2014“…Apache Hadoop is one the most used cloud frame work for cloud infrastructure. The predominant philosophy behind Hadoop optimization is the optimization of MapReduce, which is a dominant programming platform effective in bringing a=bout many functional enhancements as per scheduling algorithms developed and implemented. …”
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ECG encryption enhancement with multi-layers of AES and DNA computing
Published 2023“…Evaluations of algorithms reveal that the proposed algorithm has achieved a level of security and complexity that is 48 times superior to that of other methods that have been tried and tested. …”
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Secure multi-authority attribute-based encryption access control with cache-aware scheduling in mobile cloud computing
Published 2021“…Mobile Cloud Computing (MCC) is the combination of cloud computing, mobile computing, and wireless network to bring rich computational resources to mobile users, network operators, as well as cloud computing providers. …”
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13
Application of adaptive network based fuzzy inference system for model reconstruction in reverse engineering
Published 2004“…The system is developed to measure data for freeform surface with complex shape. …”
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Book Section -
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Multi-objective scheduling of MapReduce jobs in big data processing
Published 2018“…This problem can become increasingly complex when virtualized clusters in cloud computing are used to execute a large number of tasks. …”
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MelScan: An Android Application for Early Detection of Melanoma
Published 2014“…Based on the findings, there were only 2 applications in the Google Market that was used for melanoma detection, and that the Prewitt operator makes for a good compromise between performance and complexity in developing the application. Overall, the application was developed successfully, and in the future, more functions would be added to make this application more marketable, such as cloud storage function and wearable technology…”
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Final Year Project -
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Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow
Published 2023“…Machine learning algorithms are capable of learning linear and nonlinear patterns in complex agro-meteorological data. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Predicting crop yield and field energy output for oil palm using genetic algorithm and neural network models
Published 2019“…In FFB and PO models, the data used 15 variables, namely: percentage of mature area and percentage of immature area, rainfall, rainy days, humidity, radiation, temperature, surface wind speed, evaporation and cloud cover, O3, CO, NO2, SO2, and PM10. The study used input energy data from 8 variables for developing energy models. …”
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Simulated kalman filter (SKF) based image template matching for distance measurement by using stereo vision system
Published 2018“…From the algorithm, disparity mapping algorithm such as Semi-global block algorithm is found out to be inaccurate and complex. …”
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