Cloud architecture data center network abnormal traffic filtering algorithm based on improved grey clustering algorithm by Xuefeng ZHOU, Qiang XU, Yanting TAN, Jiayi LANG, Hang JING, Zhiqiang ZHAO

“…To avoid abnormal traffic affecting the safe operation of the cloud architecture data center network, it was necessary to filter the abnormal traffic of the cloud architecture data center network.The difficulty of filtering abnormal traffic varies under different signal-to-noise ratios and channel conditions.In order to ensure the filtering effect of abnormal traffic under different filtering conditions, a cloud architecture data center network abnormal traffic filtering algorithm based on improved grey clustering algorithm was proposed.A network traffic transmission model was built for cloud architecture data centers through time-frequency analysis, and network traffic sequences were collected.Weighted generalized distance was introduced to improve the grey clustering algorithm, and the improved grey clustering algorithm was used to calculate the optimal clustering results of network traffic sequence features, achieving traffic sequence feature extraction.The principal component eigenvalues of traffic sequence features were obtained through principal component analysis, two subspaces were constructed, and traffic features were mapped in a matrix manner to the two subspaces.Abnormal traffic was filtered based on the square prediction error of the mapping period vector and the threshold calculation results.The experimental results show that this algorithm can achieve feature extraction of data center network traffic sequences through clustering, effectively filtering abnormal traffic under different signal-to-noise ratios and channel conditions.When the signal-to-noise ratio of the network was 25 dB and the traffic was transmitted in a Gaussian channel, the filtering effect of abnormal traffic was more prominent.…”
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Axial Spacing Effects on Rotor-Rotor Interaction Noise and Vibration in a Contra-Rotating Fan by Hengxuan Luan, Liyuan Weng, Ranhui Liu, Dongmin Li, Mingwei Wang

“…For the accuracy of calculation, the scattering effect of the casing wall should be considered in the prediction of the noise. The axial spacing does not have obvious effects on the natural frequencies of the two-stage rotor blades but has certain effect on blade deformation.…”
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Forecasting Travel Speed in the Rainfall Days to Develop Suitable Variable Speed Limits Control Strategy for Less Driving Risk by Ping Wang, Yajie Zhang, Saisai Wang, Li Li, Xiaohui Li

“…Travel speed, traffic flow, and rainfall intensity are integrated to predict the fluctuation trend of travel speed through the proposed deep belief-radial basis function network. …”
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Study on aerodynamic drag and noise reduction of high-speed pantograph with streamwise holes by Tian Li, Deng Qin, Xiang Kan, Jiye Zhang

“…Using an improved delayed detached eddy simulation (IDDES) model and applying the Ffowcs Williams and Hawkings (FW-H) equation for far-field noise prediction, the aerodynamic characteristics of pantographs with and without holes are analyzed and compared. …”
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Water Quality of Urban Streams: The Allium cepa Seeds/Seedlings Test as a Tool for Surface Water Monitoring by Camila Gonçalves Athanásio, Daniel Prá, Alexandre Rieger

“…Moreover, the Allium cepa seeds/seedlings were shown to be extremely sensitive in detecting the genotoxicity of environmental water samples and can be applied as the first tool for environmental health hazard identification and prediction.…”
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STUDY ON RHEOLOGICAL BEHAVIOR AND CONSTITUTIVE MODEL OF TA17 TITANIUM ALLOY AT HIGH STRAIN RATE by JIA HaiShen, XIA ShiYu, ZHANG JiLin, LUO WenCui, SHEN JianCheng, CHEN YanXiang, XU ChuangWen

“…Based on the dynamic rheological characteristics of TA17 titanium alloy and considering the influence of the coupling between strain and strain rate on its flow stress, a new J-C constitutive model is constructed. based on the obtained experimental data, the model parameters are identified, the predicted values of the model are compared with the experimental data, and the two parameters of correlation coefficient（R） and average absolute relative error are introduced to evaluate the prediction accuracy of the constructed constitutive model.The results show that TA17 titanium alloy exhibits obvious strain hardening, strain rate strengthening and strain rate plasticizing effects, and its rheological behavior is dominated by strain, strain rate and the coupling between them. …”
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Effects of lower-limb intermittent pneumatic compression on sports recovery: A systematic review and meta-analysis by Filipe Maia, Fábio Yuzo Nakamura, Hugo Sarmento, Rui Marcelino, João Ribeiro

“…Data was extracted, and standardized mean differences were calculated with 95% confidence and prediction interval. The pooled data analysis was conducted using a random-effects model, with heterogeneity assessed using I2. …”
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GIS MODELLING IN THEMATIC MAPPING OF LAND COVER CHANGES IN THE FOREST-STEPPE REGION OF RUSSIA by ELIZAVETA KHAZIEVA

“…Models are useful and used in a vast array of GIS applications, from simple evaluation to the prediction of future landscapes. Cartographic modelling is a general methodology for the analysis and synthesis of geographical data. …”
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An Assessment of Clinically Important Differences on the Worst Pain Severity Item of the Modified Brief Pain Inventory in Patients with Diabetic Peripheral Neuropathic Pain by James Marcus, Kathryn Lasch, Yin Wan, Mei Yang, Ching Hsu, Domenico Merante

“…There was a high correspondence between observed and predicted PGIC categories at each PGIC threshold (ROC AUCs were 0.78–0.82). …”
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Empirical modeling potential transfer of land cover change pa city with neural network algorithms by fatemeh mohammadyary, hamidreza pourkhabbaz, hossin aghdar, morteza Tavakoly

“…The results of the prediction showed that the most reduction in the changes is the degradation of the rangelands and the greatest increase in the area of agricultural use. …”
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DMRIntTk: Integrating different DMR sets based on density peak clustering. by Wenjin Zhang, Wenlong Jie, Wanxin Cui, Guihua Duan, You Zou, Xiaoqing Peng

“…However, due to the different strategies adopted, different DMR sets will be predicted on the same dataset, which poses a challenge in selecting a reliable and comprehensive DMR set for downstream analysis.…”
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Solar Radiation, Air Temperature, Relative Humidity, and Dew Point Study: Damak, Jhapa, Nepal by Arun Kumar Shrestha, Arati Thapa, Hima Gautam

“…Monitoring and prediction of the climatic phenomenon are of keen interest in recent years because it has great influence in the lives of people and their environments. …”
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CLAIRE: a contrastive learning-based predictor for EC number of chemical reactions by Zishuo Zeng, Jin Guo, Jiao Jin, Xiaozhou Luo

“…Abstract Predicting EC numbers for chemical reactions enables efficient enzymatic annotations for computer-aided synthesis planning. …”
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Geospatial modeling of near subsurface temperatures of the contiguous United States for assessment of materials degradation by Jonathan E. Gordon, Olatunde D. Akanbi, Deepa C. Bhuvanagiri, Hope E. Omodolor, Vibha Mandayam, Roger H. French, Jeffrey M. Yarus, Erika I. Barcelos

“…Model performance generally decreased with depth, highlighting challenges in deep temperature prediction. State-level analyses emphasized the importance of considering local geological factors. …”
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Variational graph autoencoder for reconstructed transcriptomic data associated with NLRP3 mediated pyroptosis in periodontitis by Pradeep K. Yadalam, Prabhu Manickam Natarajan, Carlos M. Ardila

“…VGAE, a deep learning model, captures complex graph relationships for tasks like link prediction and edge detection. The VGAE model demonstrated exceptional performance with an accuracy of 99.42% and perfect precision. …”
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Wind and Wave Disturbances Compensation to Floating Offshore Wind Turbine Using Improved Individual Pitch Control Based on Fuzzy Control Strategy by Feng Yang, Qing-wang Song, Lei Wang, Shan Zuo, Sheng-shan Li

“…In this paper an individual pitch control (IPC) system integrated with disturbance accommodating control (DAC) and model prediction control (MPC) through fuzzy control is developed to alleviate the fatigue loads. …”
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PilotCareTrans Net: an EEG data-driven transformer for pilot health monitoring by Kun Zhao, Xueying Guo

“…PilotCareTrans Net was evaluated on multiple public EEG datasets, including MODA, STEW, SJTUEmotion EEG, and Sleep-EDF, where it outperformed state-of-the-art models in key metrics.Results and discussionThe experimental results demonstrate the model's ability to not only enhance prediction accuracy but also reduce computational complexity, making it suitable for real-time applications in resource-constrained settings. …”
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Research on the Deformation Characteristics and Support Technology of a Bottom Gas Extraction Roadway under Repeated Interference by Rongkun Pan, Zhihui Ma, Minggao Yu, Shuaidong Wu

“…This paper can provide a reference for the optimization of bottom gas extraction roadway positioning, the determination of support parameters, and the deformation prediction around a bottom gas extraction roadway under similar conditions.…”
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Enhanced Production of Xylitol from Corncob by Pachysolen tannophilus Using Response Surface Methodology by S. Ramesh, R. Muthuvelayudham, R. Rajesh Kannan, T. Viruthagiri

“…The validation experimental was consistent with the prediction model. The optimum levels of process variables were temperature (36.56°C), pH (7.27), substrate concentration (3.55 g/L), inoculum size (3.69 mL), and agitation speed (194.44 rpm). …”
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Identification of Environmental Determinants Involved in the Distribution of Burkholderia pseudomallei in Southeast Asia using MaxEnt software. by Jose Francis V Abrantes, Zenn Ashley P Cariño, Hozeo Luis S Mercado, Fatima N Vicencio, Gio Ray S Sosa, Miguel Angelo M Habaña, Nikki Heherson A Dagamac

“…The predicted distribution of Bp is extensive in the mainland part of SEA. …”
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