Search Results - (( java implementation modified algorithm ) OR ( knowledge sharing data algorithm ))
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Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
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Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks
Published 2019“…Our proposed algorithm is capable of exploiting complementary information from different feature views in each task while exploring the shared knowledge between multiple related tasks in a joint framework when the labeled training data is sparse. …”
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OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
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Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
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Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy
Published 2019“…The proposed algorithm is capable of exploiting complementary information from different feature views in each task while exploring the shared knowledge between multiple related tasks in a joint framework when the labeled training data is sparse. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
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Adaptive persistence layer for synchronous replication (PLSR) in heterogeneous system
Published 2011“…The PLSR architecture model, workflow and algorithms are described. The PLSR has been developed using Java Programming language. …”
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Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration
Published 2023“…Leveraging a combination of big data crawling and comprehensive questionnaire surveys, we provide data-driven perspectives on rural TikTok users’ experiences, motivations, and challenges. …”
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XCOA-MLP: Extended Coyote Optimization Algorithm for training neural networks in medical data classification
Published 2025“…This study proposes XCOA-MLP, a multilayer perceptron trained using an improved coyote optimization algorithm (XCOA). XCOA extends the standard COA by introducing a leader pack (LP) technique that accelerates convergence and enhances exploitation through inter-pack knowledge sharing. …”
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A Continuous Overlay Path Probing Algorithm For Overlay Networks
Published 2013“…Several experiments were carried out using the OMNeT++ simulation framework. The designed algorithm was evaluated using experimental data. The obtained results show that the continuous in-band overlay path probing algorithm (COPPA) provides up-to-date bandwidth information with reduced overhead and minimal impact on the traffic of the path.…”
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Optimizing decentralized exam timetabling with a discrete whale optimization algorithm
Published 2025“…This problem remains an active area of research and, to the authors' knowledge, has not been adequately addressed by the WOA algorithm. …”
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Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm
Published 2025“…This problem remains an active area of research and, to the authors’ knowledge, has not been adequately addressed by the WOA algorithm. …”
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Security analysis of data transmission in an IoT based platform for telemedicine
Published 2021“…The sharing of confidential personal data such as medical data continues to take place regularly across the globe; it is therefore crucial to protect data from unauthorized access by adversaries. …”
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Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli
Published 2021“…Based on the previous report, some issues arise, such as time-consumption between the staff and the customer when ordering, lack of details and inconsistency of the manual system data. The manual method often has a lack of knowledge that the menu that shows the customer does not provide any information that customers need, such as an image of the food or ingredients used in the menu. …”
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Machine learning cases in clinical and biomedical domains
Published 2018“…The evidence found from the verses suggests that ANN shares similar learning process to achieve belief (iman) by analysing the similitudes (amsal) introduced to the algorithm.…”
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The Transformation of Religious Practices of Digital Ummah in the Age of Algorithms
Published 2026journal::journal article -
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Challenges of hidden data in the unused area two within executable files
Published 2009“…Results: The programs were coded in Java computer language and implemented on Pentium PC. …”
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Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit
Published 2024“…Step 1 involves obtaining a well-performing global model as a teacher by modifying the baseline FL with a selection criterion and a data estimation strategy. Step 2 enables highly personalized models as students to rebalance global and local data knowledge through knowledge distillation optimizations. …”
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