Search Results - (( developing joint effect algorithm ) OR ( java visualization based algorithm ))
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A performance analysis of association rule mining algorithms
Published 2016“…The results of the CPU profiler of Java VisualVM showed that Binary-Based algorithm performs better than Eclat algorithm in-terms of both execution times and memory usage. …”
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Web-based RIG performance reporting system using interactive visualization techniques / Amir Hambaly Nasaruddin
Published 2019“…D3.js is used as a technology to visualize the result in interactive form or dynamic visualization which is a JavaScript library and Python is a language to program the system. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
Published 2009“…The development of this architecture is based on several programming language as it involves algorithm implementation on C, parallelization using Parallel Virtual Machine (PVM) and Java for web services development. …”
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Enhanced bibliographic data retrieval and visualization using query optimization and spectral centrality measure
Published 2019“…This web based approach will be using Java programming language and Mongo DB (NoSQL database) to improve the retrieval performance by 80%, precision of the search result of the bibliographic data by omitting non-significance papers and visualizing a clearer network diagram using centrality measure for better decision making. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot
Published 2006“…Navigation algorithms are tested in a variety of differently shaped environments to encourage the development of robust solutions, and reduce the possibility of solutions based on memorization of a fixed set of movements. …”
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Dynamic force-directed graph with weighted nodes for scholar network visualization
Published 2022“…The approach is realized by creating a web-based interface using D3 JavaScript algorithm that allows the visualization to focus on how data are connected to each other more accurately than the conventional lines of data seen in traditional data representation. …”
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Joint optimization of resources allocation for quality of service aware next-generation heterogeneous cellular networks / Hayder Faeq Rasool Alhashimi
Published 2025“…The research seeks to identify key challenges with the goal of developing effective approaches in 6G HetNets. In this context, resource management aspects such as user association, spectrum allocation, and power allocation are studied. …”
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Dynamics and control of underactuated systems with applications in robotics / Ahmad Azlan Mat Isa … [et al.]
Published 2011“…An adaptive learning algorithm using an artificial neural network ANN has been utilized to predict the passive joint position of underactuated robot manipulator. …”
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Graphical user interface for bounded-addition fuzzy splicing systems and their variants / Mathuri Selvarajoo ... [et al.]
Published 2023“…In this research, a graphical user interface is developed to generate all the splicing languages generated by bounded-addition fuzzy splicing systems and their variants. An algorithm is developed using JAVA and Visual Studio Code software in order to replace the time-consuming manual computation of the languages generated by bounded-addition fuzzy DNA splicing systems and their variants.…”
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10
Splicing system and their variants with fuzzy algebraic sum / Mohd Pawiro Santono Othman
Published 2023“…Moreover, the languages generated by algebraic sum fuzzy splicing systems and their variants are developed by considering the threshold and the languages generated are categorized according to the Chomsky hierarchy. An algorithm is then developed in JAVA using visual code studio software to replace the time-consuming manual computation of the languages generated by algebraic sum fuzzy splicing systems and their variants. …”
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Tacit knowledge for business intelligence framework using cognitive-based approach
Published 2022“…The framework was tested on 23 librarians from several university libraries in West Java and Yogyakarta, Indonesia. The algorithm starts with a content targeted interview to identify the list of problems faced by librarians. …”
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13
Graph-Based Algorithm With Self-Weighted And Adaptive Neighbours Learning For Multi-View Clustering
Published 2024“…To address this issue, this study incorporated joint graph learning from the gmc algorithm into swmcan, creating a new algorithm called swmcan-jg. …”
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14
Characterisation and model updating of modal parameters of a car hood structure / Mohamad Shamsul Azraf Sulaiman
Published 2020“…Understandably, the mechanical joints have a significant effect to the dynamic characteristic of assembled structure because each of the joint in the structure has its own joint properties such as slip factor, contact surface and non-linearity. …”
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15
Strategies for effective value management practice in construction industry
Published 2017“…This dissertation explores the development of VM methodology through the joint use of a finite element software (Etabs) and genetic algorithm (GA) optimisation design to minimise the cost value of buildings by optimising structural elements. …”
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16
Structural assessment of a proposed precast wall connection under combined loading
Published 2016“…For this purpose, constitutive law and mathematical model for the IBS members, including: walls and connections are formulated and finite element algorithm is developed. In order to develop finite element formulation for proposed connection is required to determine stiffness of connection in all 6 degree of freedoms (DOFs). …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Comparison of hidden Markov Model and Naïve Bayes algorithms among events in smart home environment
Published 2014“…The subsystems, due to their diversified nature develop difficulties as the events communicate making the smart home uncomfortable. …”
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20
Recognition of human motion from qualitative normalised templates
Published 2007“…In contrast to other human motion classification methods which usually include a human model, prior knowledge on human motion and a matching algorithm, we replace the matching algorithm (e.g. template matching) with the proposed QNTs. …”
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