Search Results - (( developing executive replication algorithm ) OR ( java implication tree algorithm ))
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1
Managing Heterogeneous Database Replication Using Persistence Layer Synchronous Replication (PLSR)
Published 2013“…The main objective of this algorithm is to develop an adaptive persistence layer which consisted of reliable and smooth replication. …”
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2
Dynamic replication algorithm in data grid: Survey
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3
An enhanced ant colony system algorithm for dynamic fault tolerance in grid computing
Published 2020“…The proposed algorithm was developed in a simulated grid environment called GridSim and evaluated against other fault tolerance algorithms such as trust-based ACO, fault tolerance ACO, ACO without fault tolerance and ACO with fault tolerance in terms of total execution time, average latency, average makespan, throughput, execution success rate and load balancing. …”
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4
Face Detection System / Chan Beh Teng
Published 2004“…The Face Detection System is implemented in visual Basic 6.0 The system was developed based on the Unified Process,which uses object-oriented paradigm as the basis of software development.…”
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5
Study of hand gesture recognition using impulse radio ultra wideband (IRUWB) radar sensor
Published 2023“…Documentation of the development process ensures the methodology and findings are well-documented for reference and replication. …”
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6
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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Development of low-overhead soft error mitigation technique for safety critical neural networks applications
Published 2021“…Several DNN accelerators are used to execute these DNN models, and GPUs are currently the most prominent and the dominated DNN accelerators. …”
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8
Development of a hybrid machine learning model for rockfall source and hazard assessment using laser scanning data and GIS
Published 2019“…Consequently, a novel hybrid model is developed to identify potential rockfall sources in the presence of shallow landslides. …”
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