Search Results - (( develop community knowledge algorithm ) OR ( java implication tree algorithm ))

A Knowledge Management System for Assessing Lecturer Competence in Indonesian Higher Educational Institutions by Syaripudin, Undang

“…The role of the Knowledge Management System (KMS) in developing lecturer competencies is very important because it is practically easy to access and allows independent competency development. …”
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Robust overlapping community detection in complex networks with graph convolutional networks and fuzzy C-means by Mohammed Al-Andoli, Mohammed Nasser, Che Ku Mohd, Che Ku Nuraini, Harny, Irianto, Jamil Alsayaydeh, Jamil Abedalrahim, Alwayle, Ibrahim M., Ahmed Abuhoureyah, Fahd Saad

“…Furthermore, FCM is guided by the modularity Q algorithm for accurate community identification without requiring prior knowledge of the community count. …”
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Implementation of Hybrid Indexing, Clustering and Classification Methods to Enhance Rural Development Programme in South Sulawesi by Muhammad, Faisal

“…Using the cosine similarity algorithm for knowledge recommendation is village identified, utilizing community feedback as the foundation. …”
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Semantic analysis system by using latent semantic analysis (LSA) algorithm on khutbah texts / Ammar Zuber by Zuber, Ammar

“…Friday Sermons is a pivotal part of the Friday prayers in the muslim’s community, as it purpose is to send out knowledge about the islam religion to its adherent. …”
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Machine Learning Applications in Offense Type and Incidence Prediction by Balaji, R., Manjula Sanjay, Koti, Harprith, Kaur

“…This knowledge can inform the development of more effective prevention and intervention strategies, ultimately contributing to the reduction of harmful behaviors and the enhancement of community well-being…”
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Predicting usage for a marketable e-learning portal by Yaacob, Aizan, Yusof, Yuhanis, Sheik Osman, Wan Rozaini, Derashid, Chek, Omar Khan, Zainizad

“…To date, existing e-learning portals focuses on providing various learning materials via online.Such an approach may provide huge benefit to the learners; nevertheless, less value can be obtained by the developers or owners.The knowledge transfer programme provides an insight on how existing e-learning portal can be upgraded.The academia has introduced the industry to a computational modelling that is built upon the behaviour of nature community (i.e bees)The utilization of Artificial Bee Colony algorithm in predicting learners' usage of an e-learning portal provides an indicator to the developers on the portals effectiveness.Such information is then useful in producing a marketable and valuable e-learning portal…”
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The conceptual framework of knowledge of large scale and incomplete graphs of skyline queries optimization using machine learning by Noor, Ubair, Hassan, Raini, Dwi Handayani, Dini Oktarina

“…Ever since its introduction into the database community, skyline queries have been widely adopted in a range of contemporary database applications. …”
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Trajectory planning and simulation for 3d printing process by Ng, Chin Yong

“…The slicing method used is basic slicing. The slicing algorithm consists of two sections: intersection point tracking algorithm and contour creation algorithm. …”
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Braille2Alpha: braille dots recognition with alphanumeric conversion by Zainal, Abidah, Mustapha, Aida, Saringat, Mohd Zainuri, Raja, Pravind

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Automated Malicious File Investigation by RAMA ROA, SHARVITA

“…This system will be developed by using waterfall methodology because waterfall methodology is the most suitable as the knowledge on required algorithms and techniques are described in this report. …”
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Benthic habitat mapping and coral bleaching detection using quickbird imagery and Kd algorithm by Kabiri, Keivan

“…Afterwards, NASA-kd 490 algorithm was modified and then applied to determine kd 490 in each pixel of image. …”
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Outlier Detection Technique in Data Mining: A Research Perspective by Mansur, M. O., Md. Sap, Mohd. Noor

“…Outlier detection as a branch of data mining has many important applications, and deserves more attention from data mining community. Most methods in the early work that detects outliers independently have been developed in field of Statistics. …”
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StockMaster simulator / Nor Hamiza Mohd Noor ... [et al.] by Mohd Noor, Nor Hamiza, Asbullah, Nurul Farzana, Hairi Annuar, Syazana Ezzati, Tujang, Anatasha Alfiera, Muhammad Rasli, Irdina Hani

“…Real-time market data, trading algorithms, and interactive features will make it more engaging. …”
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A conceptual Malaysian private healthcare university-of-the-future business model: staying relevant in the digital and post-covid era by Saiid, Muhammad, Bah, Ahmadou Pathe, Ahmad Dahlan, Abdul Rahman

“…Moreover, along with the unexpected arrival of the COVID-19 pandemic and various disruptors driving for change including the evolution of digital technologies, democratization of knowledge, global mobility, demographic shifts, and the rise of online educational services, HEIs are in need of new alternate business models for agility, relevancy, and to continue to thrive and operate to offer value and reclaim their position as drivers of innovation, economic development and societal well-being. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches by Segun, Oguntade Emmanuel

“…Based on cross-validation analysis, the score-based algorithm outperformed the constraint-based algorithms in the structural learning. …”
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Hybridflood algorithms minimizing redundant messages and maximizing efficiency of search in unstructured P2P networks by Barjini, Hassan

“…In fooding a peer initiates the file search operation by broadcasting a query to its neighbors, who continue to propagate it to their neighbors. Flooding has no knowledge about network topology nor files or resources distribution, so it ofers an attractive method for file discovery in dynamic and developing networks. …”
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Perturbation stochastic model updating of a bolted structure / Mohamad Azam Shah Aziz Shah by Aziz Shah, Mohamad Azam Shah

“…In this study, a new scheme using the perturbation SMU method with multidimensional analysis was proposed to estimate appropriate initial values for the high-dimensional uncertain parameters in a FE model of a bolted structure. The scheme was developed by introducing a multidimensional analysis consisting of a systematic quasi-random sampling algorithm. …”
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Spotting events in football videos with a combination of two-stream convolutional neural network and dilated recurrent neural network / Behzad Mahaseni by Behzad , Mahaseni

“…Considering the advancement in streaming technologies on mobile platforms, it is important to develop efficient and fast processing algorithms for thousands of videos captured and stored in the cloud. …”
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