Algorithm of NAF scalar multiplication on ECC against SPA by Min WANG, Zhen WU

“…Against the problem that non-adjacent form(NAF)scalar multiplication on Elliptic curve cryptography(ECC) were not well resist the simple power attack(SPA),the implementation of NAF scalar multiplication and the mechanism of SPA attack were analyzed.Then a new algorithm,named equal power NAF scalar multiplication was presented.It was verified that equal power NAF scalar multiplication was efficient countermeasure against SPA attack by experimental analysis on power traces of the smartcard collected from the power analysis platform.…”
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DMS Algorithm in the Application of the Map/Reduce Tasks Schedule by PEI Shu-jun, KONG De-kai, MIAO Hui

“…The whole efficiency of traditional task scheduling algorithms is low under the cloud environment, In order to improve the whole efficiency of the task scheduling, this article based on Map/Reduce presents a Difference Matrix Scheduling tasks schedule algorithm based on processing time. …”
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RESEARCH OF PARAMETERS OF ENCODING OF THE ALGORITHM WITH VARIABLE FRAGMENTATION OF THE UNIT by K. O. Zakharova

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An underground coal mine multi-target detection algorithm by FAN Shoujun, CHEN Xilin, WEI Liangyue, WANG Qingyu, ZHANG Shiyuan, DONG Fei, LEI Shaohua

“…The results showed that: ① The mAP@0.5 of the FEDSC-FFBD algorithm was 97.00%, the number of model parameters was 4.22×106, and the number of floating point operations per second was 21.7×109. ② The mAP@0.5 of the FEDSC-FFBD alorithm was 3.40% higher than the YOLOv8n algorithm, and the recognition accuracy of the helmet small target was 90.90%, 11% higher than the YOLOv8n algorithm. ③ Compared with other YOLO series algorithms, the FEDSC-FFBD algorithm achieved the highest mAP@0.5, which was 3.60%, 1%, 10.50%, and 6.40% higher than YOLOv5s, YOLOv9c, YOLOv10n, and YOLOv11n algorithms, respectively. ④ The FEDSC-FFBD algorithm improved the detection accuracy of multi-class targets and reduced missed detection and false detection of small targets under conditions of uneven light intensity distribution, complex target environments, and imbalanced target scale distribution in underground coal mine. …”
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Implementation of stochastic signal processing algorithms in radar CAD by M. Yu. Konopel'kin, S. V. Petrov, D. A. Smirnyagina

Subjects: “…radar information processing algorithm…”
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Developing an Algorithm Limiting the Longitudinal Acceleration of an Electric Vehicle by Akop Antonyan, Aleksandr Klimov, Andrey Buchkin, Andrey Keller, Sergey Shadrin, Daria Makarova, Yury Furletov

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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

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PERIOPERATIVE ALGORITHM FOR REHABILITATION OF CHILDREN WITH ACUTE ENTERAL INSUFFICIENCY by A. A. Gumerov, A. N. Izosimov, V. V. Plechev, I. A. Mamleev, B. A. Oleinik

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A novel optical granulometry algorithm for ore particles by Junhao Y., Xiubin Z., Jie Q.

“…This paper proposes a novel algorithm to detect the particle size distribution of ores with irregular shapes and dim edges. …”
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Cognitive Radio for Smart Grid: Theory, Algorithms, and Security by Raghuram Ranganathan, Robert Qiu, Zhen Hu, Shujie Hou, Marbin Pazos-Revilla, Gang Zheng, Zhe Chen, Nan Guo

“…Furthermore, compressed sensing algorithms such as Bayesian compressed sensing and the compressed sensing Kalman filter is employed for recovering the sparse smart meter transmissions. …”
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Real Power Loss Reduction by Enhanced RBS Algorithm by Kanagasabai L.

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New search strategy for multi-objective evolutionary algorithm by Liu Yuejun

Subjects: “…Multi-objective evolutionary algorithm…”
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The Application of Compound Control Algorithm in Photovoltaic System MPPT by WANG Shenghui, LI Yilun, ZHENG Hong, GAO Shan

“…Aiming at the problem that the output array exhibits multipeak characteristics when the PV array is partially shaded or unevenly illuminated, the traditional singlepeak MPPT algorithm is difficult to track the maximum power point A hybrid algorithm is proposed to improve the particle swarm combined with the sliding mode search Firstly, the probability judgment criterion of improved simulated annealing algorithm is introduced into the standard particle swarm optimization algorithm; the law of inertia weight change is improved; the disturbance parameter is added to the learning factor Secondly, using the sliding mode extreme value search algorithm, the suspected optimal value obtained by the particle swarm optimization algorithm is continuously optimized, and finally the maximum power point is found The simulation results show that the composite control algorithm can track the maximum power point quickly and accurately under different shadow conditions, and avoid the system falling into the local optimum value…”
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Algorithm of the diagnosis and treatment of enteral insufficiency syndrome in peritonitis by E. A. Korymasov, S. A. Ivanov, M. V. Kenarskaya

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Reconstruction of 12-lead ECG: a review of algorithms by Ekenedirichukwu N. Obianom, G. André Ng, G. André Ng, G. André Ng, G. André Ng, Xin Li, Xin Li, Xin Li

“…PurposeThis paper aims to review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches and evaluate their predictive strengths. …”
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A Novel Clustering Algorithm Inspired by Membrane Computing by Hong Peng, Xiaohui Luo, Zhisheng Gao, Jun Wang, Zheng Pei

“…P systems are a class of distributed parallel computing models; this paper presents a novel clustering algorithm, which is inspired from mechanism of a tissue-like P system with a loop structure of cells, called membrane clustering algorithm. …”
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Fast autoscaling algorithm for cost optimization of container clusters by José María López, Joaquín Entrialgo, Manuel García, Javier García, José Luis Díaz, Rubén Usamentiaga

“…In this paper we present FCMA (Fast Container to Machine Allocator), a resource allocation algorithm designed to calculate a suitable allocation of the resources of a cluster in autoscaling operations, to minimize cluster deployment costs. …”
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The analysis of the efficiency of a master-slave parallel algorithm by Raimondas Čiegis, Ramūnas Šablinskas

“… A general master-slave parallel algorithm is described. Three applications are investigated and results of numerical experiments with various clusters of workstations are given. …”
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Image denoising algorithm based on multi-channel GAN by Hongyan WANG, Xiao YANG, Yanchao JIANG, Zumin WANG

“…Aiming at the issue that the noise generated during image acquisition and transmission would degrade the ability of subsequent image processing, a generative adversarial network (GAN) based multi-channel image denoising algorithm was developed.The noisy color image could be separated into red-green-blue (RGB) three channels via the proposed approach, and then the denoising could be implemented in each channel on the basis of an end-to-end trainable GAN with the same architecture.The generator module of GAN was constructed based on the U-net derivative network and residual blocks such that the high-level feature information could be extracted effectively via referring to the low-level feature information to avoid the loss of the detail information.In the meantime, the discriminator module could be demonstrated on the basis of fully convolutional neural network such that the pixel-level classification could be achieved to improve the discrimination accuracy.Besides, in order to improve the denoising ability and retain the image detail as much as possible, the composite loss function could be depicted by the illustrated denoising network based on the following three loss measures, adversarial loss, visual perception loss, and mean square error (MSE).Finally, the resultant three-channel output information could be fused by exploiting the arithmetic mean method to obtain the final denoised image.Compared with the state-of-the-art algorithms, experimental results show that the proposed algorithm can remove the image noise effectively and restore the original image details considerably.…”
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Dynamic scheduling algorithm for streaming media based on CDN by YANG Ge1, FAN Xiu-mei3

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