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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat
Published 2020“…Based on the initial study conducted, there are 6 factors that have the potential to influence the number of DHF cases in an area, namely temperature (X1), rainfall (X2), population density (X3), altitude (X4), distribution of males (X5), and distribution of education level (X6). …”
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Optimum Feeder Routing and Distribution Substation Placement and Sizing using PSO and MST
Published 2014“…This paper proposes an algorithm to find the optimum distribution substation placement and sizing by utilizing the PSO algorithm and optimum feeder routing using modified MST. …”
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A study on course timetabling for FCSIT
Published 2014“…Besides, most of the students' timetables were evenly distributed.…”
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Density based subspace clustering: a case study on perception of the required skill
Published 2014“…Grouping done to identify the level of data density and to identify outliers or irrelevant data that will create each to cluster exist in a separate subset. This thesis proposed subspace clustering based on density connection, named DAta MIning subspace clusteRing Approach (DAMIRA), an improve of subspace clustering algorithm based on density connection. …”
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Density subspace clustering: a case study on perception of the required skill
Published 2014“…Grouping done to identify the level of data density and to identify outliers or irrelevant data that will create each to cluster exist in a separate subset. This thesis proposed subspace clustering based on density connection, named DAta MIning subspace clusteRing Approach (DAMIRA), an improve of subspace clustering algorithm based on density connection. …”
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6
Parameter estimation of the cure fraction based on BCH model using left-censored data with covariates.
Published 2011“…The analysis is constructed by means of the exponential distribution in the case of left censoring and within the framework of the expectation maximization (EM) algorithm. …”
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…The first contribution of this thesis introduces a robust visual tracking algorithm that is able to locate moving objects in surveillance videos. …”
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Legal Innovation in Religious Courts: The Potential Utilization of Artificial Intelligence (AI) in Resolving Contemporary Cases.
Published 2024“…In the digital era, Artificial Intelligence (AI) offers innovative solutions to enhance the efficiency and accuracy of legal processes. This study employs a qualitative method with a descriptive-analytical approach to explore the potential use of AI in religious courts. …”
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Using GA and KMP algorithm to implement an approach to learning through intelligent framework documentation
Published 2023Subjects:Conference paper -
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Modeling total quality management in higher education with case-based reasoning
Published 2023Subjects: “…Case-based reasoning (CBR)…”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). …”
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Distributive and self-sustainable scheduling algorithm for wireless sensor networks
Published 2013“…In this paper, we propose a distributive and self-sustainable scheduling algorithm (DSSA). …”
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Automated surveillance in distributed, visual networks: an empirical comparison of recent algorithms
Published 2014“…The selected algorithms were then applied in a distributed fashion at each node. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…Our novel algorithm is executed on IEEE 123-bus radial distribution test systems. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…Our novel algorithm is executed on IEEE 123-bus radial distribution test systems. …”
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Ancestral dynamic voting algorithm for mutual exclusion in partitioned distributed systems
Published 2013“…In this study, a new dynamic algorithm is presented as a solution for mutual exclusion in partitioned distributed systems. …”
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Salp swarm and gray wolf optimizer for improving the efficiency of power supply network in radial distribution systems
Published 2023“…Our novel algorithm is executed on IEEE 123-bus radial distribution test systems. …”
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Optimal Allocation and Sizing of Distributed Generation in Distribution System via Firefly Algorithm
Published 2012“…FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. …”
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