A python approach for prediction of physicochemical properties of anti-arrhythmia drugs using topological descriptors by Huiling Qin, Mudassar Rehman, Muhammad Farhan Hanif, Muhammad Yousaf Bhatti, Muhammad Kamran Siddiqui, Mohamed Abubakar Fiidow

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Simulation of Dissolved Oxygen Concentration in an Urban Lake Based on MLR and ARDL by ZHAO Hongcheng, YANG Fei, ZHOU Peng, GUO Jiacheng, HUANG Jinbai

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Examining spatiotemporal dynamics of CO2 emission at multiscale based on nighttime light data by Binbin Zhang, Zongzheng Liang, Wenru Guo, Zhanyou Cui, Deguang Li

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Research on dynamic evaluation method of individual scientific impact under multiple key nodes by Shuang Ma

Subjects: “…two-node piecewise linear regression model…”
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Impact of landscape patterns on river water quality: Spatial-scale effects across an agricultural-urban interface by Kun Mei, Haonan Shi, Yupeng Wu, Randy A. Dahlgren, Xiaoliang Ji, Minmin Yang, Yueru Guan

Subjects: “…Stepwise multiple linear regression model (SMLR)…”
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A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN by Jiantao Chang, Yuanying Qiu, Xianguang Kong

“…To overcome this difficulty, a dynamic-improved multiple linear regression model based on parameter evaluation using discrete Hopfield neural networks (DHNN) is presented. …”
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Regression Cloud Models and Their Applications in Energy Consumption of Data Center by Yanshuang Zhou, Na Li, Hong Li, Yongqiang Zhang

“…The experiments show that linear regression model is good enough to model performance counters, nonlinear regression is better than linear regression model for modeling system utilization, and support vector regression model is better than polynomial and exponential regression models.…”
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Development of a Regional F‐Region Critical Frequency Model for Southern Africa by S. Brijraj, P. J. Cilliers, M. Kosch

“…Abstract A new localized linear regression model, called the SANSA model, is presented. …”
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Haptoglobin Genotype and Risk Markers of Cardiovascular Disease in Patients with Chronic Kidney Disease by Charlotte Strandhave, My Svensson, Henrik Krarup, Jeppe Hagstrup Christensen

“…In an adjusted linear regression model, Hp 2-2 was associated with both SDNN (P=0.005) and SDANN (P=0.01). …”
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Mathematical modelling criminality in Lithuania in a context of the East European countries by Vitalija Rudzkienė

“…The analysis of differences between the criminality in Lithuania and the average criminality rates in Bulgaria, Hungary and Poland is fulfilled using linear regression model. …”
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Curvilinear association between Framingham Steatosis Index and chronic kidney disease: a nationwide cross-sectional study by Chunqi Jiang, Bo Wang, Jun Wang, Yinuo Qu, Xin Zhang, Xin Zhang

“…We engaged a recursive partitioning algorithm in conjunction with a two-stage linear regression model to determine the inflection point. …”
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A nonlinear correlation between the serum uric acid to creatinine ratio and the prevalence of hypertension: a large cross-sectional population-based study by Ru Wang, Shuxing Wu, Jing Wang, Wenting Li, Jian Cui, Zhuhua Yao

“…Further threshold effect showed that only a UA/Cr ratio less than 5.0 was related to hypertension risk (OR: 1.178, 95% CI: 1.086-1.278, p < 0.001), and the 2-piecewise linear regression model was superior to the 1-line linear regression model (p < 0.05).Conclusion The UA/Cr ratio was associated with the prevalence of hypertension.…”
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Quantification of Rear-End Crash Risk and Analysis of Its Influencing Factors Based on a New Surrogate Safety Measure by Qiangqiang Shangguan, Ting Fu, Junhua Wang, Rui Jiang, Shou’en Fang

“…Then, a mixed-effects linear regression model was applied to clarify the relationship between rear-end crash risk and its influencing factors. …”
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New Stochastic Restricted Biased Regression Estimators by Issam Dawoud, Hussein Eledum

“…In this paper, we propose three stochastic restricted biased estimators for the linear regression model. These new estimators generalize the least squares estimator, mixed estimator, and biased estimator. …”
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Threshold effects of sleep duration and cognitive function in older adults with BMI ≥ 25 kg/m2 by Kunyu Qiu, Kunyu Qiu, Yilei Liu, Chengwei Hu, Jie Gu, Yanyan Huang

“…A two-piecewise linear regression model was then applied to explore the threshold effect of sleep duration on cognitive performance. …”
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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

“…This model outperforms the Linear Regression model by a notable 19.47%, highlighting its superior predictive abilities. …”
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Research on multi-party security collaborative linear regression for computing power networks by PAN Jie, HOU Huifang, CHEN Xi, XUE Zhao, XU Liankun

“…The scheme allowed multiple users to achieve secure joint training in a computing power network using sensitive data to build a linear regression model. The scheme adopts low-cost blinding method and homomorphic encryption technology to encrypt user sensitive data to protect the security of sensitive data.…”
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Analysis of network behavior characteristic and influence factor based on the peak traffic by Ai-ping ZHOU, Guang CHENG

“…Based on the burstiness of network traffic,the peak traffic metric was introduced,and the method which was used to evaluate network operation and plan capacity was proposed.The network intrinsic features and the peak traffic for the 21 CERNET campus networks were analyzed by statistical methodologies(analysis of variance and analysis of covariance),so that the peak traffic is mutually independent and follows Gaussian distribution,the network intrinsic features have dominant impact on the peak traffic,and the number of network users is highly related to link bandwidth demand.On the basis,the linear regression model and capacity planning model were constructed.Experimental results illustrate that the proposed capacity planning model is used to evaluate the access bandwidth of new campus networks exactly.…”
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Types of tourists and tourism practices during the Olympic Games. by Marie Delaplace, Alexandra Schaffar

“…The statistical analyses conducted on the data obtained (multiple component analysis, dendrogram and linear regression model) allow us to characterize both the tourists who will come and those who will not as well as their respective practices, in particular concerning the visited sites.…”
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Research of the Ramp Start Control of Signal Speed Ratio Electric Vehicle by Zhang Qing, Xiong Huiyuan

“…The kinematics linear regression model of the signal speed ratio electric vehicle under ramp start condition is constructed,then a road gradient identifier based on multi-innovation forgetting gradient algorithm is designed,the ramp anti-slide control strategy is formulated according with driver intention. …”
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