Search Results - (( knowledge sharing data algorithm ) OR ( java application optimisation algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks by Krishnasamy, Ganesh, Paramesran, Raveendran

“…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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Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

“…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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Web-based expert system for material selection of natural fiber- reinforced polymer composites by Ahmed Ali, Basheer Ahmed

“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization by Hussain Mohammad Yousef Abu Dalbouh

Transitioning from information sharing to knowledge services: unpacking the evolution of rural media within the context of media integration by Wang, Shujie, Li, Ning, Liu, Niwen, Habes, Mohammed

“…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 by Al-Asaady, Maher Talal, Mohd Aris, Teh Noranis, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina

“…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 by Feily, Maryam

“…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 by Emily Sing Kiang Siew, San nah sze, Say leng goh

“…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 by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

“…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 by Olanrewaju, Rashidah Funke, Amuda, Idowu Rahaman, Hassan Abdalla Hashim, Aisha

“…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 by Dzulkifli, Muhammad Zulhilmie

“…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 by Che Azemin, Mohd Zulfaezal, Ashimi, Tijani Ahmad, Md Mustafa, Md Muziman Syah

“…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 by Imam Alfi, Abdul Basit, Umi Halwati, Abdul Malik

User recommendation algorithm in social tagging system based on user trust method by Wong, Pei Voon

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Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit by Deng, Ting

“…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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An enhanced sequential exception technique for semantic-based text anomaly detection by Taiye, Mohammed Ahmed

“…Practically, this study contributes to topic modelling and concept coherence for the purpose of visualizing information, knowledge sharing and optimized decision making.…”
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Hybridflood algorithms minimizing redundant messages and maximizing efficiency of search in unstructured P2P networks by Barjini, Hassan

“…In the other word the algorithm improved unstructured P2P search's scalability, efficiency and reliability. …”
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HybridFlood: minimizing the effects of redundant messages and maximizing search efficiency of unstructured peer-to-peer networks by Barjini, Hassan, Othman, Mohamed, Ibrahim, Hamidah, Udzir, Nur Izura

“…To improve this searching scheme and reduce redundant messages, this paper proposes a novel algorithm named HybridFlood. This algorithm is divided into two steps. …”
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Identifying the ethical issues in Twitter: a knowledge acquisition for ontology by Mohamed Najid, Mohamad Hafizuddin, Zulkifli, Zahidah, Othman, Roslina, Rokis, Rohaiza, Salahuddin, Ashraf Ali,

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