Search Results - (( developing effective commitment algorithm ) OR ( java identification based algorithm ))
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The result shows that the performance of FRA correlates strongly to PQF model with 98% correlation compared to the Kolmogorov-Smirnov Correlation Based Filter (KSCBF) algorithm with 83% correlation. …”
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Effect of business social responsibility (BSR) on performance of SMEs in Nigeria
Published 2014“…Therefore, significant positive effects of commitment, trust, and perceived ethics suggest that the variables are important in relation to performance. …”
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An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
Published 2006“…In conclusion, the recommended knowledge network created based on the automatic interest identification has now become medium for users to refer for knowledge sources and later perform knowledge sharing tasks.…”
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The developed framework, grounded in fault-based testing theory, comprises three key components: inputs, prioritization factors, and a prioritization algorithm. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques
Published 2023“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”
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Examining leadership style and ethical reasoning in Nigeria public sector
Published 2016“…Findings also showed that the relationship between transformational leadership and post conventional cognitive moral development was found to be significantly moderated by religiosity commitment and vertical individualism and collectivism. …”
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Mitigation of shoulder-surfing attack on picture-based passwords using falsifying authentication methods / Por Lip Yee
Published 2012“…Over the years, various picture-based password systems were proposed to exploit the utility of pictures for user authentication. …”
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Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks
Published 2006“…This thesis investigates the effect of different scheduling mechanisms and usage of a different marker algorithms then develop and implement a fair scheduling mechanism and integrate it with a shaper with the usage of a very fair efficient marker at the edge of the DiffServ networks with the usage of simulation and analytical techniques. …”
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Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List
Published 2023“…This paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). …”
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Optimal economic load dispatch using multiobjective cuckoo search algorithm
Published 2023“…In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. …”
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Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman
Published 2013“…From the result obtained and the comparative study conducted, it is proved that the proposed MAEP-PL optimisation technique has able to solve the unit commitment problem where, the total daily generation cost is effectively minimised and the computation time is reduced as compared to other techniques.…”
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Efficient kerberos authentication scheme for cross-domain systems in industrial internet of things using ECC
Published 2021“…The offline scheme utilizes a Time-based One-Time Password (TOTP) algorithm to allow users to authenticate to the vehicle without needing an Internet connection once they have registered online when Internet access is available. …”
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Skyline queries on data with uncertain dimensions for efficient computation
Published 2018“…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
Published 2015“…As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. …”
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Bornean Orangutan nest classification using Image enhancement with convolutional neural network and kernel multi support vector machine classifier
Published 2025“…In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.…”
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Bornean Orangutan Nest Classification using Image Enhancement with Convolutional Neural Network and Kernel Multi Support Vector Machine Classifier
Published 2025“…In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.…”
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