Search Results - (( java segmentation using algorithm ) OR ( knowledge server based algorithm ))
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Image clustering comparison of two color segmentation techniques
Published 2010“…Finally, the algorithm found, which would solve the image segmentation problem.…”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance
Published 2023“…This algorithm can also be used for task scheduling. The proposed algorithm efficiently maps and achieves the objective function for server consolidation, optimising energy consumption, VM migrations, and server utilisation. …”
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Automatic Number Plate Recognition on android platform: With some Java code excerpts
Published 2016“…On the other hand, the traditional algorithm using template matching only obtained 83.65% recognition rate with 0.97 second processing time. …”
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Development of seven segment display recognition using TensorFlow on Raspberry Pi
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A new classification model for online predicting users' future movements
Published 2008“…We can exploit Web Usage Mining for Knowledge extracting based on user behavior during the web navigation. …”
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Agent driven Peer-to-Peer Cloud Robotics
Published 2013“… Cloud enabled robotics is currently understood as one or many robotic clients making use of the resources and services made available by remote servers placed across the network cloud. These servers provide gateways to access the infrastructure, platform, software, algorithm or process as a service. …”
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An Agent-Based System with Personalization and Intelligent Assistance Services for Facilitating Knowledge Sharing
Published 2006“…The proposed agent based system is called KSFaci (Knowledge Sharing Facilitator). …”
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An evaluation on KNN-SVM algorithm for detection and prediction of DDoS attack
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Hybridflood algorithms minimizing redundant messages and maximizing efficiency of search in unstructured P2P networks
Published 2012“…We proposed two novel search algorithms named QuickFlood and HybridFlood. QuickFlood combines two food-based searches; fooding and teeming. …”
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Using Markov Model and Association Rules for Web Access Prediction
Published 2006“…This task requires the development of models that can predicts a user’s next request to a web server. In this paper, we propose a method for constructing first-order and second-order Markov models of Web site access prediction based on past visitor behavior and compare it association rules technique. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications
Published 2025“…The outcome of this study will add to the body of knowledge the most important and recent proposed solutions to mitigate SQL injection attack, in particular those based on machine learning algorithm…”
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Determination of suitable resource discovery tool and methodology for high-volume internet of things (IoT)
Published 2021“…The study will contribute to the new model development by providing new insights on the conceptualization and validation of knowledge-based methodology based on widely accepted techniques and approaches.…”
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Big Data Mining Using K-Means and DBSCAN Clustering Techniques
Published 2022“…Density-based clustering with three clusters outperformed the K-Means algorithm with three clusters in terms of accuracy. …”
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Weblog search engine based on quality criteria
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Predicting next page access by Markov models and association rules on web log data
Published 2006“…This task requires the development of models that can predict a user’s next request to a web server. In this paper, we propose a method for constructing first-order and second-order Markov models of Web site based on past visitor behavior compare with association rules technique. …”
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Development of a Web Access Control Technique Based User Access Behavior
Published 2004“…The necessary steps for the proposed technique are identified, and algorithms of these steps are developed and implemented using Active Server Page (ASP) and then tested on two web pages. …”
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…But, the computer oriented materials selection and knowledge-based expert systems are the robust approach in materials selection to handle huge amount of materials of choice. …”
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Dynamic and adaptive execution models for data stream mining applications in mobile edge cloud computing systems / Muhammad Habib Ur Rehman
Published 2016“…At application level, the program components need to handle continuously streaming data in order to perform knowledge discovery operations. At platform level, the MDSM applications need to seamlessly switch the execution processes among mobile devices, edge servers, and cloud computing servers. …”
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