Developing a Travel Time Estimation Method of Freeway Based on Floating Car Using Random Forests by Juan Cheng, Gen Li, Xianhua Chen

“…Travel time of traffic flow is the basis of traffic guidance. To improve the estimation accuracy, a travel time estimation model based on Random Forests is proposed. 7 influence variables are viewed as candidates in this paper. …”
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Sharp Estimates of Hermitian Toeplitz Determinants for Some Subclasses of Sakaguchi Type Function Related to Sine Function by Sangarambadi Padmanabhan Vijayalakshmi, Sibel Yalçın, Tirumalai Sudharsan

“…Extensive research exists regarding estimating second and third Hankel determinants for normalized analytic functions within this domain. …”
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Estimating the visibility in foggy weather based on meteorological and video data: A Recurrent Neural Network approach by Jian Chen, Ming Yan, Muhammad Rabea Hanzla Qureshi, Keke Geng

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Improved Training Sequence Channel Estimation Scheme in 16QAM MB-OFDM UWBoF System by Changqing Xiang, Xi Yang, Xuan Zhou, Xiaojun Zhu, Jincan Xu, Qiong He

“…The simulation results showed that the performance of system with the TSs channel estimation was improved by about 2.7 dB compared with the improved Golay TS channel estimation.…”
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Research on Lateral Stability Control of Four-Wheel Independent Drive Electric Vehicle Based on State Estimation by Yu-Jie Ma, Chih-Keng Chen, Hongbin Ren

Subjects: “…state estimation…”
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A Comparison Study of Edge Line Estimation Algorithms for Dimensional Quality Assessment of Precast Concrete Slabs by Chang-Yong Yi, Fangxin Li, Julian Pratama Putra Thedja, Sung-Han Sim, Yoon-Ki Choi, Geon Hwee Kim, Min-Koo Kim

“…Although a few edge extraction algorithms have been developed so far based on point cloud data, little attention has been paid on which edge extraction algorithm performs the best in terms of edge estimation accuracy. To tackle the research gap, this study aims to evaluate currently available edge extraction algorithms in order to determine optimal algorithm for precise geometrical inspection of PC elements. …”
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Unveiling the Hidden Burden: Estimating All-Cause Mortality Risk in Older Individuals with Type 2 Diabetes by Dikang Pan, Hui Wang, Sensen Wu, Jingyu Wang, Yachan Ning, Jianming Guo, Cong Wang, Yongquan Gu

“…The objective of this study is to develop and validate a predictive nomogram for estimating the 5-year all-cause mortality risk in older persons with T2D (T2D). …”
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Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter by Nivedita Singh, M. A. Ansari, Manoj Tripathy, Pratiksha Gupta, Ikbal Ali, Adel Saleh Rawea

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Development of a Statistical Model for Estimating Spatial and Temporal Ambient Ozone Patterns in the Sierra Nevada, California by Haiganoush K. Preisler, Michael J. Arbaugh, Andrzej Bytnerowicz, Susan L. Schilling

“…The fitted model was also used to estimate probability maps for season average ozone levels exceeding critical (or subcritical) levels in the Sierra Nevada region. …”
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Utilizing Low-cost Mobile Monitoring to Estimate the PM2.5 Inhaled Dose in Urban Environment by Muhammad Miftahul Munir, Martin Adrian, Casmika Saputra, Puji Lestari

“…We found that children were estimated to receive a higher inhaled dose of PM2.5 than adults. …”
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Estimating the Prevalence of Opioid use Disorder in the Cincinnati Region using Probabilistic Multiplier Methods and Model Averaging by Peter J. Mallow, Nila Sathe, Michael Topmiller, Jennifer Chubinski, Dillon Carr, Roni Christopher

“…Little robust and reliable information quantifies the prevalence and there is often great variation between individual estimates of prevalence. In other fields such as meteorology, finance, sports, and politics, model averaging is commonly employed to improve estimates and forecasts. …”
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Combining robust state estimation with nonlinear model predictive control to regulate the acute inflammatory response to pathogen by Gregory Zitelli, Seddik M. Djouadi, Judy D. Day

“…The results, though comparable to the initial exploratory study, show that robust state estimation of this highly nonlinear model can provide an alternative to prior updating strategies used when only partial access to the unmeasurable states of the system are available.…”
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The impact of the COVID-19 quarantine on the estimated quality of parent-child interactions in Saudi Arabia: Parental perspectives by Alsari Nada Abdulkader

“…The purpose of the current study was to explore parental beliefs about the effect of the COVID-19 quarantine on the subjectively estimated quality of parent-child interactions as well as their beliefs about its impact on early childhood language development within the Kingdom of Saudi Arabia (KSA). …”
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Insulin Resistance Increases MRI-Estimated Pancreatic Fat in Nonalcoholic Fatty Liver Disease and Normal Controls by Niraj S. Patel, Michael R. Peterson, Grace Y. Lin, Ariel Feldstein, Bernd Schnabl, Ricki Bettencourt, Ekihiro Seki, Claude B. Sirlin, Rohit Loomba

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Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models by Imran Said, Vasit Sagan, Kyle T. Peterson, Haireti Alifu, Abuduwanli Maiwulanjiang, Abby Stylianou, Omar Al Akkad, Supria Sarkar, Noor Al Shakarji

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Brief Education on Microvasculature and Pit Pattern for Trainees Significantly Improves Estimation of the Invasion Depth of Colorectal Tumors by Joon Sung Kim, Bo-In Lee, Hwang Choi, Bong Koo Kang, Jong In Kim, Hae Mi Lee, Eun-Joo Im, Byung-Wook Kim, Sang-Woo Kim, Myung-Gyu Choi, Kyu Yong Choi

“…Afterwards, the trainees estimated the invasion depth of the same tumors after brief education on CWE, MNE and MCE images, respectively. …”
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Risk Efficiencies of Empirical Bayes and Generalized Maximum Likelihood Estimates for Rayleigh Model under Censored Data by Dinesh Barot, Manhar Patel

“…The empirical Bayes estimates are obtained using an asymmetric loss function. …”
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Effects of Productivity, R&D and Income Inequality on Economic Growth: An Empirical Estimation Using Panel Data by Hakan Yıldırım, Hakan Aydoğan

“…Cross-sectional dependence and stationarity tests of the variables were performed, then panel data regression models were tested and parameters were estimated. Then, the most appropriate model was determined and model assumptions such as autocorrelation, heteroskedasticity and cross-sectional dependence of model errors were tested. …”
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Improved Estimation of the Initial Number of Susceptible Individuals in the General Stochastic Epidemic Model Using Penalized Likelihood by Changhyuck Oh

“…The simulations of major epidemics show significant improvements in performance in averages and coverage ratios for the suggested estimator of the initial number in comparison to existing methods. …”
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Estimation of the Climate Preference Between Two Lineages of Europe-an Ground Squirrel Using Maximum Entropy Modeling by Sadık Demirtaş

“…Thus, it was attempted to estimate the importance of bioclimatic factors influencing the potential geographical distribution for each lineage as well as assessing the area under curve values. …”
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