Bitlis Air Pollution Emission Inventory and Estimation of Health Effects by Multiple Linear Regression by Sinan Mehmet Turp

“…According to this data, the number of patients in the next year was estimated by using multiple linear regression method. …”
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Physical-aware model accuracy estimation for protein complex using deep learning method by Haodong Wang, Meng Sun, Lei Xie, Dong Liu, Guijun Zhang

Subjects: “…Estimation of model accuracy…”
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Synthesis and Investigation of Algorithm for Estimation of Active Stator Resistance of Asynchronous Motor with Fixed Rotor by D. S. Odnolko

“…The paper presents results of  a system simulation while applying the proposed algorithm that confirm the fact that the estimated value of the active stator resistance tends to a true value with high accuracy. …”
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Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

“…In this paper, the authors describe a Linear Mixed Effects (LME) model to estimate monthly-average PM2.5 concentrations at a spatial resolution of 1 km2 between 2016 and 2019 in the megacities of Bengaluru and Hyderabad with a total population of 23 million. …”
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Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors by Jesús Enrique Sierra, Matilde Santos

“…An adaptive neuromass estimator and an adaptive neural disturbance estimator complement the action of a set of PID controllers, stabilizing the UAV and improving the system performance. …”
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A Low Computational Complexity SML Estimation Algorithm of DOA for Wireless Sensor Networks by Faming Gong, Haihua Chen, Shibao Li, Jianhang Liu, Zhaozhi Gu, Masakiyo Suzuki

“…We address the problem of DOA estimation in positioning of nodes in wireless sensor networks. …”
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Bayesian Estimation and Prediction for Flexible Weibull Model under Type-II Censoring Scheme by Sanjay Kumar Singh, Umesh Singh, Vikas Kumar Sharma

“…The performance of the Bayes estimators has also been compared with the classical estimators of the model parameters through the Monte Carlo simulation study. …”
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Estimation of Urban Link Travel Time Distribution Using Markov Chains and Bayesian Approaches by Wenwen Qin, Meiping Yun

“…Despite the wide application of Floating Car Data (FCD) in urban link travel time and congestion estimation, the sparsity of observations from a low penetration rate of GPS-equipped floating cars make it difficult to estimate travel time distribution (TTD), especially when the travel times may have multimodal distributions that are associated with the underlying traffic states. …”
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Exploring error estimates of Newton-Cotes quadrature rules across diverse function classes by Abdelghani Lakhdari, Muhammad Uzair Awan, Silvestru Sever Dragomir, Hüseyin Budak, Badreddine Meftah

“…Abstract This in-depth study looks at symmetric four-point Newton-Cotes-type inequalities with a focus on error estimates for numerical integration. The precision of these estimates is explored across various classes of functions, including those with bounded variation, bounded derivatives, Lipschitzian derivatives, convex derivatives, and others. …”
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Research on the Estimation Model of Energy Consumption Capacity for Reinforced Concrete Components with Axial Force by Yukui Wang, Shijun Yan, Dan Zhang, Zhangqi Hu

“…The study also examined the impact of design parameters, including longitudinal reinforcement ratio, transverse reinforcement ratio, axial compression ratio, and shear-span ratio, on the estimation results. The research findings revealed that when applying the estimation model of energy consumption capacity for reinforced concrete components without axial force to calculate the energy consumption capacity of reinforced concrete components with axial force, there was a significant deviation rate in the estimation of cumulative energy consumption. …”
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Natural Radioactivity Measurements and Radiation Dose Estimation in Some Sedimentary Rock Samples in Turkey by I. Akkurt, K. Günoğlu

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A Simple Conceptual Model for Estimating the First Bending Natural Frequency of Bridge Superstructures by Farnoush Karimi, Reza Akbari, Shahrokh Maalek

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MODIFIED METHODS FOR ESTIMATING THE QUALITY OF WHEAT GRAIN AGAINST THE BACKGROUND OF EXPOSURE TO SUNN PEST by E. N. Shabolkina, O. M. Sychyova, V. V. Syukov

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An Efficient Estimation Method for Reducing the Axial Intensity Drop in Circular Cone-Beam CT by Lei Zhu, Jared Starman, Rebecca Fahrig

“…In this work, we propose a novel method for estimating the unmeasured data and reducing the intensity drop artifacts. …”
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A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium-Ion Batteries by Shuo Cheng

“…This paper proposes a method for estimating the state of health (SOH) of lithium-ion batteries (LIBs) using a combination of vision transformer (VIT) and gated recurrent unit (GRU) networks. …”
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Sample Productivity and Cost Estimates of Producing Longan (Dimocarpus longan Lour.) in South Florida. by Fredy H. Ballen, Edward Evans, Aditya Singh, Jonathan H. Crane

“…Crane and published by the UF/IFAS Food and Resource Economics Department provides an estimate of the costs and returns associated with the operation of an established longan grove in south Florida. …”
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Bivariate power Lomax Sarmanov distribution: Statistical properties, Reliability measures, and Parameter estimation by M.A. Abd Elgawad, M.A. Alawady, H.M. Barakat, G.M. Mansour, I.A. Husseiny, Salem A. Alyami, Atef F. Hashem, M.O. Mohamed

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DIGITALIZATION INFLUENCE ON THE ESTIMATION WORK EFFICIENCY OF THE DEVELOPMENT BANKS (ON THE EXAMPLE OF THE ASIAN DEVELOPMENT BANK) by S. Matveevskii

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Estimation of the Parameters of Burr Type III Distribution Based on Dual Generalized Order Statistics by Chansoo Kim, Woosuk Kim

“…Also, an approximation based on Lindley is used to obtain the Bayes estimator. To compare the maximum likelihood estimator and the Bayes estimator of the parameters, Monte Carlo simulation study is performed.…”
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Estimation of partially linear single-index spatial autoregressive model using B-splines by Lei Liu, Jun Dai

“…The asymptotic properties of parameter and function estimates are established. Monte Carlo simulation studies are conducted to investigate the performance of the proposed estimation methodology and calculation procedure. …”
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