Suchergebnisse - sequential number-theoretic algorithm

A new bias-corrected estimator method in extreme value distributions with small sample size von Wang, Sirao, Fang, Kai-Tai, Ye, Huajun

“… This paper proposes a bias-corrected expression for maximum likelihood estimators using the sequential number-theoretic method for optimization (SNTO …”
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An improved algorithm of sequential number-theoretic optimization (SNTO) based on clustering technique von Gong, Fan, Cui, Hui, Zhang, Lin, Liang, Yizeng

“… The sequential number-theoretic optimization (SNTO) method for global optimization is improved by means of the clustering technique …”
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Placement and Tuning of SVCs for the Improvement of Techno-economic Performance of the Network Based on Sequential Number Theoretic Optimization Algorithm von Alabduljabbar, A.A., Milanovic, J.V.

“… The placement of FACTS devices in a power network is of great importance to ensure the utilization of the full potential of the transmission network. In this …”
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An improved genetic algorithm integrated with a sequential number-theoretic method von Lian-Qiao Cai, Jian Chen

“… In this paper, an improved genetic algorithm is proposed in which a sequential number-theoretic method is embedded …”
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Parallel implementations of Brunotte’s algorithm von TATRAI, Antal

“… In this paper the author make a comprehensive comparison of different parallelizations of a sequential number theoretic algorithm having large memory requirements …”
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Sequential Number-Theoretic Optimization for High-Dimensional Channel Equalization in Coherent Optical PDM Systems von Liu, Shuai, Xu, Yangfan, Du, Xinwei

“… To address these challenges, we propose a novel approach using sequential number-theoretic optimization (SNTO …”
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Force-directed hybrid PSO–SNTO algorithm for acoustic source localization in sensor networks von Yu, Zhijun, Wei, Jianming, Liu, Haitao

“… As a smart combination of particle swarm optimization (PSO) and sequential number-theoretic optimization (SNTO), a new hybrid PSO …”
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A novel approach for parameter estimation of mixture of two Weibull distributions in failure data modeling von Yan, Tianyu, Fang, Kai-Tai, Yin, Hong

“… The mixture of two 2-parameter Weibull distributions (MixW), as a specialized variant of the mixture of Weibull distributions, serves as an ideal model for …”
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D‐optimal designs of mean‐covariance models for longitudinal data von Yi, Siyu, Zhou, Yongdao, Pan, Jianxin

“… Longitudinal data analysis has been very common in various fields. It is important in longitudinal studies to choose appropriate numbers of subjects and …”
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Number-Theoretic Sequence Design for Uncoordinated Autonomous Multiple Access in Relay-Assisted Machine-Type Communications von Fouad, Yaser M. M., Gohary, Ramy H., Yanikomeroglu, Halim

“… Terminal relaying is expected to offer an effective means for realizing machine-type communications (MTC) in wireless cellular networks. In the absence of …”
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Sequential Number-Theoretic Optimization for High-Dimensional Channel Equalization in Coherent Optical Communication Systems von Liu, Shuai, Yu, Keying, Xu, Yangfan, Du, Xinwei, Wang, Qian, Yu, Changyuan

“… ) mismatch, frequency offset (FO) and phase noise (PN) by sequential number-theoretic optimization (SNTO …”
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HEPCloud: An FPGA-Based Multicore Processor for FV Somewhat Homomorphic Function Evaluation von Sinha Roy, Sujoy, Jarvinen, Kimmo, Vliegen, Jo, Vercauteren, Frederik, Verbauwhede, Ingrid

“… In this paper, we present an FPGA based hardware accelerator '<inline-formula><tex-math notation="LaTeX"> \mathsf{HEPCloud}</tex-math> <inline-graphic …”
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High-performance area-efficient polynomial ring processor for CRYSTALS-Kyber on FPGAs von Chen, Zhaohui, Ma, Yuan, Chen, Tianyu, Lin, Jingqiang, Jing, Jiwu

“… Besides, the forward and inverse Number Theoretic Transform (NTT) reuse the control logic with the help of an efficient configurable butterfly unit to minimize the area of the finite state machine …”
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Suboptimal Joint Multi-Parameter Estimation for Wireless Sensor Networks Over \kappa-\mu Fading Channels von Xiang, Youyang, Shi, Xianhua, Du, Qilong, Li, Xianglu, Fei, Peng, Hou, Dong, Tian, Jie

“… ) based on sequential number-theoretic optimization (SNTO) within the framework of maximum likelihood estimation (MLE …”
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Sequential number-theoretic optimization (SNTO) method applied to chemical quantitative analysis von Zhang, Lin, Liang, Yi-Zeng, Yu, Ru-Qin, Fang, Kai-Tai

“… A sequential number‐theoretic optimization (SNTO) method recently developed in statistics was introduced as a global optimization procedure in constrained background bilinearization (CBBL …”
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Adaptive value function approximation for continuous-state stochastic dynamic programming von Fan, Huiyuan, Tarun, Prashant K., Chen, Victoria C.P.

“… Approximate dynamic programming (ADP) commonly employs value function approximation to numerically solve complex dynamic programming problems. A statistical …”
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Nature-inspired optimisation: Improvements to the Particle Swarm Optimisation Algorithm and the Bees Algorithm von Sholedolu, Michael O

“… This research focuses on nature-inspired optimisation algorithms, in particular, the Particle Swarm Optimisation (PSO …”
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Parameter Optimization for SVM using Sequential Number Theoretic for Optimization von Hui-Zhi Yang, Xiao-Nan Jiao, Li-Qun Zhang, Fa-Chao Li

“… In this paper, we propose a support vector machine (SVM) meta-parameter optimization method which uses sequential number theoretic optimization (SNTO …”
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Suboptimal Joint Multi-Parameter Estimation and Performance Analysis for Wireless Sensor Networks over κ-μ Fading channels von Xiang, Youyang, Xie, Liruizhi, Li, Xianglu, Du, Qilong, Sun, Wei, Huang, Zhijiang, Hou, Dong, Tian, Jie

“… ) due to the modified Bessel function, we propose a novel suboptimal multi-parameter estimation algorithm for robust transmission and sensing (SMARTS …”
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On maximum-likelihood detection and the search for the closest lattice point von Damen, M.O., El Gamal, H., Caire, G.

“… ) linear channels are considered. Linearity over the field of real numbers facilitates the design of ML decoders using number-theoretic tools for searching the closest lattice point …”
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