Search Results - (( data distribution factor algorithm ) OR ( data distribution new algorithm ))

Semiparametric inference procedure for the accelarated failure time model with interval-censored data by Karimi, Mostafa

“…The findings of this research provide two new iterative algorithms for estimating the parameters of the AFT model with interval-censored data, and also two new resampling techniques for estimating the covariance matrix of estimators. …”
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Design and analysis of management platform based on financial big data by Chen, Yuhua, Mustafa, Hasri, Zhang, Xuandong, Liu, Jing

“…In addition, a financial data management platform based on distributed Hadoop architecture is designed, which combines MapReduce framework with the fuzzy clustering algorithm and the local outlier factor (LOF) algorithm, and uses MapReduce to operate in parallel with the two algorithms, thus improving the performance of the algorithm and the accuracy of the algorithm, and helping to improve the operational efficiency of enterprise financial data processing. …”
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Optimal coordinated voltage control in active distribution networks using backtracking search algorithm by Hashim T.J.T., Mohamed A.

TDMA scheduling analysis of energy consumption for iot wireless sensor network by Islam, Md Ashikul

“…So, battery power is limited and if so many wastages by the node for unnecessary things then the network life time will reduce and network performance will decrease time to time. Many new algorithms are implemented to reduce nodes energy consumption including Time division Multiplexing algorithm (TDMA) for scheduling to allocate neighbor and reduce signal interference, Distributed Randomize (DRAND) Time Division Multiplexing to do nodes random distribution and allocation. …”
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A Continuous Overlay Path Probing Algorithm For Overlay Networks by Feily, Maryam

“…This thesis describes a new algorithm called “COPPA,” which is an in-band path probing algorithm for measuring the end-to-end available bandwidth of an overlay path accurately and continuously. …”
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Kalman filter based impedance parameter estimation for transmission line and distribution line by Siti Nur Aishah, Mohd Amin

“…Firstly, the data set from the research areas such as voltage, current, power factor and design of Kalman Filter are presented. …”
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Resourceful residual energy consumption in TDMA scheduling for IoT-based wireless sensor network by Rahiman, Amir Rizaan, Islam, Md Ashikul, Derahman, Md. Noor

“…This paper discusses the optimization of energy-topology (E-T) factors for distributed time division multiplexing algorithm (TDMA) slot scheduling for high-speed data link capacity. …”
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Transformer T-joint optimization using particle swarm optimization and hemisphere-shape design of the core by Yehya, Omar Sharaf Al-Deen

“…Moreover, the proposed intelligent algorithm in this work can improve the transformer core design as well as can be applied to various power and distribution transformers.…”
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Energy and performance efficient resource allocation for cloud-based data centers by Akhter, Nasrin

“…This thesis demonstrates that the dynamic consolidations of virtualmachines in cloud data centers by proposing energy efficient algorithms and policies. …”
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Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques by Farhan, Farhan Abdel-Fattah Ahmad

“…In particular, issues such as collects real time attack related audit data and cooperative global detection. Therefore, the researcher is motivated to design a new intrusion detection architecture which involves new detection technique to efficiently detect the abnormalities in the ad hoc networks. …”
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An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa by Md Isa, Amalina Izzati

“…Two new algorithms i.e., Load Classification based Fuzzy Logic (LCFL) and Binary Evolutionary Programming (BEP) are introduced in the module. …”
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Resource-Efficient Coverage Path Planning for UAV-Based Aerial IoT Gateway by Nurul Saliha A. Ibrahim, Nurul Saliha A. Ibrahim, Faiz A. Saparudin, Faiz A. Saparudin

“…As a result, the Energy Efficient Coverage Path Planning (EECPP) algorithm has been proposed. The EECPP is composed of two algorithms: the Stop Point Prediction Algorithm using K-Means, and Path Planning Algorithm using Particle Swarm Optimization. …”
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A novel approach to data mining using simplified swarm optimization by Wahid, Noorhaniza

“…In data mining, data classification and feature selection are considered the two main factors that drive people when making decisions. …”
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The acceptance of eTPP reporting system by using TAM Model / Mohd Hafizan Musa [et al.] by Musa, Mohd Hafizan, Othman, Ahmad Kamalrulzaman, Wan Zakaria, Wan Mohd Farid, Mohamad Khalid, Rusnani, Sokman, Yusnita

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Research on the construction of an efficient and lightweight online detection method for tiny surface defects through model compression and knowledge distillation by Chen, Qipeng, Xiong, Qiaoqiao, Huang, Haisong, Tang, Saihong, Liu, Zhenghong

“…It can be applied in distributed service architectures for edge computing, providing new technological references for deploying deep learning models in the industrial sector.…”
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Development an accurate and stable range-free localization scheme for anisotropic wireless sensor networks by Han, Fengrong

“…The previous works assumed that the network environment is evenly and uniformly distributed, ignored anisotropic factors in a real setting. …”
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Software reusability in green computing / Ibraheem Y. Y. Ahmaro by Y. Y. Ahmaro, Ibraheem

“…Reliability analysis, factor analysis, normality analysis, correlation analysis and regression analysis are used to analyze the amassed data. …”
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Transfer learning in near infrared spectroscopy for stingless bee honey quality prediction across different months by Suarin, Nur Aisyah Syafinaz, Chia, Kim Seng, Mohamad Fuzi, Siti Fatimah Zaharah

“…Particularly, the qualities of stingless bee honey are affected by various uncontrolled factors, e.g. ecosystem, origins, and weather. Since it is unrealistic to have a NIRS dataset that can represent unforeseen future changes, an algorithm that can adapt existing data for new samples is worth to be investigated. …”
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Geographic Distribution and Potential Conservation Strategies for the Genus Japonia in Sarawak, Malaysia by JIE YING, LEE

“…The study aimed to identify these diversity and distribution patterns and to predict habitat suitability for selected Japonia species using the Maximum Entropy algorithm based on bioclimatic data. …”
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A new scheduling technique to improve data management in cloud computing by Khan, Nawsher

“…Data Management is the key factor of Cloud Computing, which is „the right data in the right place at the right time’. …”
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