Efficient parameter extraction in PV solar modules with the diligent crow search algorithm by Mostafa Jabari, Morteza Azimi Nasab, Mohammad Zand, Lilia Tightiz, Sanjeevikumar Padmanaban, Juan C. Vasquez Q

Subjects: “…Crow search optimization algorithm…”
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Recognizing Cow Muzzle Patterns using the Convolution Neural Network (CNN) Algorithm by Sulthon Zamroni, Giri Wahyu Wiriasto, Bulkis Kanata

“…Numerous systems and algorithms have been developed to recognize cattle, ranging from body shape, fur patterns, to specific parts of the cattle. …”
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Trisomy 21 screening with αlpha software and the Fetal Medicine Foundation algorithm by L Pistorius, C A Cluver, I Bhorat, L Geerts

“…Screening for trisomy 21 provides pregnant women with accurate risk information. Different algorithms are used to screen for trisomy 21 in South Africa (SA). …”
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Research on short-term precipitation forecasting method based on CEEMDAN-GRU algorithm by Hua Xu, Zongkai Guo, Yu Cao, Xu Cheng, Qiong Zhang, Dan Chen

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Price Prediction for Fresh Agricultural Products Based on a Boosting Ensemble Algorithm by Nana Zhang, Qi An, Shuai Zhang, Huanhuan Ma

Subjects: “…boosting ensemble learning algorithm…”
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An Optimally Generalized Steepest-Descent Algorithm for Solving Ill-Posed Linear Systems by Chein-Shan Liu

“…An optimal iterative algorithm with m-vector descent direction in a Krylov subspace is constructed, of which the m optimal weighting parameters are solved in closed-form to accelerate the convergence speed in solving ill-posed linear problems. …”
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Robust video watermarking algorithm for H.264/AVC based on texture feature by Wei-wei ZHANG, Ru ZHANG, Jian-yi LIU, Xin-xin NIU, Yi-xian YANG

“…On the basis of analyzing some existing video watermarking al ithms and combining with the new features of the H.264/AVC video coding standard,a new robust video watermarking algorithm based on texture feature was proposed.The proposed algorithm firstly performs the 4×4 integer discrete cosine transform on the current frame in purpose of identifying whether it is the texture block.Then the watermarking is embedded by adopting the way of differential energy for selecting the appropriate coefficients adaptively.The experimental result shows that the proposed algorithm has little impact on the video quality and bit-rate,moreover,its robustness can effectively resist the common attacks such as the gauss noise,low pass filter and re-coded performed on the video watermarking.…”
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Fuzzy Neural Network-Based Evaluation Algorithm for Ice and Snow Tourism Competitiveness by Ying Zhao, Qinghua Zhu, Jiujun Bai

“…Based on the construction of cloud fuzzy neural network model, the above method is used for experimental comparison analysis, and experiments are conducted through University of California Irvine (UCI) dataset and engineering examples to compare with the traditional cloud model, fuzzy neural network, and BP neural network to analyze the operation efficiency, accuracy rate, and several rules of the algorithm. Through the experimental comparative analysis, the cloud fuzzy neural network can fully take into account the randomness and fuzziness of the data, optimize the generation of cloud rules, avoid multidimensional rule disasters, and ensure the operational efficiency of the algorithm; the accuracy rate of the algorithm is improved relative to that of the traditional technology, and it applies to a variety of datasets. …”
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Extension of simultaneous Diophantine approximation algorithm for partial approximate common divisor variants by Wonhee Cho, Jiseung Kim, Changmin Lee

“…It is also confirmed experimentally that this algorithm works well.…”
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Turn-Based War Chess Model and Its Search Algorithm per Turn by Hai Nan, Bin Fang, Guixin Wang, Weibin Yang, Emily Sarah Carruthers, Yi Liu

“…Finally, we prove that both of these algorithms are optimal, and we analyze the difference between their efficiencies. …”
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Multi-link minimum change dynamic bandwidth allocation algorithm with QoS support by IANGGen L, UHe-wei Y, UNLi-min S, INYong Q

“…A multi-link minimum change dynamic bandwidth allocation (MCDBA) algorithm that supports QoS is proposed in this research.This algorithm realizes the supports of different levels of QoS and quantifies the size of bandwidth allocation.Under the condition of meeting certain QoS limitations,the minimal bandwidth changing amount is achieved.The simulation results verify that MCDBA can effectively reduce the latency of data packet and improve the system bandwidth utilization.Thus,it is believed that MCDBA can be used in the addressing of complex QoS control under large-scale multi-link access network.…”
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ACTF: An efficient lossless compression algorithm for time series floating point data by Weijie Wang, Wenhui Chen, Qinhon Lei, Zhe Li, Huihuang Zhao

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Development of algorithm for calculation of operation and repair efficiency of a plate heat exchanger by S. M. Chekardovsky, K. N. Ilyukhin, A. A. Melekhin, M. N. Chekardovsky

Subjects: “…algorithm…”
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Deep Learning Algorithm Analysis of Potato Disease Classification for System on Chip Implementation by John Adebisi, Sesham Srinu, Varqa Mitonga

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A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing by Luokai Hu, Jin Liu, Chao Liang, Fuchuan Ni, Hang Chen

“…Genetic algorithm is easy to fall into local optimal solution. …”
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Research on multi-AP joint transmission scheme based on improved genetic algorithm by Man LIU, Xuming FANG

“…In order to solve the problem that overlapping basic service set (OBSS) users are subject to serious co-frequency interference in the dense Wi-Fi network, resulting in low signal to interference plus noise ratio (SINR) of received signals, low data transmission rate or inability to transmit, a multi-access point (AP) joint transmission (JT) scheme based on improved genetic algorithm (IGA) selection of AP coordination set was proposed.Firstly, the SINR threshold method was used to divide all station (STA) in the system into central users and edge users, and the JT scheme was adopted for edge users.Then, with the goal of maximizing the throughput of edge users, IGA was proposed to determine the appropriate coordinated AP for each edge user to form its own AP coordination set, and maximize the potential gain of JT technology.The simulation results show that the proposed scheme can effectively reduce the co-frequency interference between BSS and improve the performance and throughput of BSS edge users in dense network.…”
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Large Scale LEO Satellite Internet Routing Algorithm Based on Load Balancing by Yijie WANG, Wei ZHAO, Fei CHENG, Wen CHEN, Anjie CAO

“…The expanding market demand has set off an upsurge of large-scale LEO constellation deployment.With the characteristics of large bandwidth, low delay and continuous coverage, it provides broadband internet services for users all over the world.Aiming at the problem of congestion and packet loss caused by uneven network load, an adaptive large-scale LEO inter satellite routing algorithm based on load balancing was proposed.The algorithm divided the direction and level of candidate satellites according to the information obtained from small area detection, calculated the weight value according to diff erent partition results, and selected the next hop node with the highest level and the lowest weight value, carry out the same steps hop by hop until the data reaches the destination satellite node, fi nally formed a low delay path to realized low packet loss rate data transmission in the whole network.Through the simulation experiment, compared with the classical algorithm and the existing large-scale LEO satellite routing algorithm, the routing algorithm could eff ectively improved the routing performance of LEO large-scale satellite communication network and provided high-quality services for users.…”
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A new classification algorithm for low concentration slurry based on machine vision by Chuanzhen Wang, Xinyi Wang, Andile Khumalo, Fengcheng Jiang, Jintao Lv

“…Subsequently, a new low concentration classification model was systematically developed, encompassing aspects such as original image acquisition, data augmentation, dataset partitioning, classification algorithm design, and model evaluation. DCGAN was employed for image generation, achieving favorable outcomes with generator learning rate set at 5 × 10− 5, discriminator at 1 × 10− 6, and iteration number at 2000. …”
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MOADA-SVR:a multivariate online anomaly detection algorithm based on SVR by QIAN Ye-kui1, CHEN Ming1

“…Network anomaly detection is critical to guarantee stabilized and effective network operation.Although PCA-based network-wide anomaly detection algorithm has good detection performance,it cannot satisfy demands of online detection.In order to solve the problem,after traffic matrix model was introduced,a normality model of traffic was constructed using SVR and the sparsification of support vector solutions.Based on these,a multivariate online anomaly detection algorithm based on SVR named MOADA-SVR was proposed.Theoretic analysis showed that MOADA-SVR had lower storage and less computing overhead compared with PCA.Analysis for traffic matrix datasets Internet showed that MOADA-SVR had also good detection performance,approximating PCA.…”
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Image stitching algorithm based on two-stage optimal seam line search by Guijin Han, Yuanzheng Zhang, Mengchun Zhou

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