Diversity of Rust Fungi with Special Emphasis on <i>Hyalopsora erlangensis</i> Causing Disease in <i>Cystopteris chinensis</i> by An Yu, Xia Zhao, Xiaohong Chen

“…Phylogenetic analysis, based on internal transcribed spacer (ITS) sequences and 28S rDNA gene fragments, further confirms its distinctiveness from other Hyalopsora species, supported by high maximum parsimony (MP), maximum likelihood (ML), and Bayesian inference (BI) bootstrap values. …”
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Molecular phylogeny and comparative chloroplast genome analysis of the type species Crucigenia quadrata by Ting Wang, Huan Feng, Huan Zhu, Bojian Zhong

“…The Bayesian and maximum likelihood (ML) phylogenetic trees support a monophyletic group of C. quadrata and Scenedesmaceae (Chlorophyceae) species. …”
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Reliability Estimation of Inverse Lomax Distribution Using Extreme Ranked Set Sampling by Amer Ibrahim Al-Omari, Amal S. Hassan, Naif Alotaibi, Mansour Shrahili, Heba F. Nagy

“…In this study, the estimation of R=P Y<X is investigated when the stress and strength random variables are independent inverse Lomax distribution. Using the maximum likelihood approach, we obtain the R estimator via simple random sample (SRS), ranked set sampling (RSS), and extreme ranked set sampling (ERSS) methods. …”
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Frequency Synchronization Algorithms for MIMO-OFDM Systems with Periodic Preambles by Jian Sun, Fudong Li, Cheng-Xiang Wang, Xuemin Hong, Dongfeng Yuan

“…This paper addresses the problem of frequency synchronization in multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems with periodic preambles. Two Maximum Likelihood Estimators (MLEs) and four low complexity Best Linear Unbiased Estimators (BLUEs) are proposed. …”
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Vision-Based Satellite Recognition and Pose Estimation Using Gaussian Process Regression by Haopeng Zhang, Cong Zhang, Zhiguo Jiang, Yuan Yao, Gang Meng

“…Assuming that the regression function mapping from the image (or feature) of the target satellite to its category or pose follows a Gaussian process (GP) properly parameterized by a mean function and a covariance function, the predictive equations can be easily obtained by a maximum-likelihood approach when training data are given. …”
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Inference of a Susceptible–Infectious stochastic model by Giuseppina Albano, Virginia Giorno, Francisco Torres-Ruiz

“…Several simulation studies are conduced to test the procedure, these include the time homogeneous case, for which a comparison with the results obtained by applying the maximum likelihood estimation was made, and cases in which the intensity function were time dependent with particular attention to periodic cases. …”
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Tritrophic associations and identification key for European species of the genus Binodoxys (Mackauer) (Hymenoptera: Braconidae: Aphidiinae) by Lazarević Maja J., Žikić Vladimir A., Milenković Darija N., Tomanović Željko M.

“…Based on the available molecular data, we constructed a maximum likelihood tree for six European species. Several new hosts were identified for the first time, and the geographical distribution of one species was broadened. …”
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Queue Length Estimation for Signalized Intersections under Partially Connected Vehicle Environment by Lu Wei, Jin-hong Li, Li-wen Xu, Lei Gao, Jian Yang

“…The hyperparameter estimation problem of the prior distribution is solved by the maximum likelihood estimation (MLE) method. To validate the proposed queue length estimation method, a simulation environment with partially connected vehicles is established using VISSIM and Python for data generating. …”
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Reliability analysis of new jointly Type-II hybrid NH censored data and its modeling for three engineering cases by Maysaa Elmahi Abd Elwahab, Ahmed Elshahhat, Ohud A. Alqasem, Mazen Nassar

“…We consider two estimation approaches, maximum likelihood and Bayesian methods, to obtain point and interval estimates of the model parameters. …”
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Frequentist and Bayesian Approaches in Modeling and Prediction of Extreme Rainfall Series: A Case Study from Southern Highlands Region of Tanzania by Erick A. Kyojo, Silas S. Mirau, Sarah E. Osima, Verdiana G. Masanja

“…Three estimation methods–L-moments, maximum likelihood estimation (MLE), and Bayesian Markov chain Monte Carlo (MCMC)–were employed to estimate GEV parameters and future return levels. …”
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In Situ Measurement of Seeking Speed and Seeking Induced Head-Disk Interface Instability in Hard Disk Drives by Yu Wang, Xiongfei Wei, Yanyang Zi, Kwok-Leung Tsui

“…To make the whole process of that clear, an in situ measurement method based on maximum likelihood estimation and extended Kalman filter for seeking speed at component level was developed first and was then calibrated by a high speed camera. …”
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Capacity Improvement for DVB-NGH with Dual-Polarized MIMO Spatial Multiplexing and Hybrid Beamforming by Huu Trung Nguyen, Trung Tan Le, Trung Hien Nguyen

“…At the receiver end, the maximum likelihood (ML) detector is used to evaluate the system performance. …”
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Properties and Applications of Neutrosophic Burr XII Distribution by Laila A. Al-Essa, Farrukh Jamal, Shakaiba Shafiq, Sadaf Khan, Qamer Abbas, Rehan Ahmad Khan Sherwani, Muhammad Aslam

“…In addition, the neutrosophic model parameters are estimated using the principle of maximum-likelihood estimation. Further, the precision of these model estimates is verified via a simulation study of the proposed model. …”
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A new trigonometric-oriented distributional method: Model, theory, and practical applications by Omalsad Hamood Odhah, Olayan Albalawi, Huda M. Alshanbari

“…The Weibull model serves as the foundational framework for this specific variant. The maximum likelihood estimators for the parameters of the weighted tan-Weibull distribution are obtained. …”
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Computational analysis of SARS-CoV-2, SARS-CoV, and MERS-CoV genome using MEGA by Vipan Kumar Sohpal

“…Firstly, the Bayesian information criterion (BIC) and Akaike information criterion (AICc) are used to evaluate the best substitution pattern. Secondly, the maximum likelihood method used to estimate of transition/transversions (R) through Kimura-2, Tamura-3, Hasegawa-Kishino-Yano, and Tamura-Nei nucleotide substitutions model. …”
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Research on Coal and Rock Type Recognition Based on Mechanical Vision by Qiang Zhang, Jieying Gu, Junming Liu

“…In order to identify different kinds of coal, rock, and gangue, the FPV integrated image transmission camera is used to collect images of 6 types of coal, 8 types of rocks, and 2 types of coal gangue, and the images are processed based on the two-dimensional discrete wavelet transform (2D-DWT) based on the steerable pyramid decomposition (SPD). The maximum likelihood estimation method is used to estimate the parameters, and, the coal and rock types are judged by comparing the similarity of each image. …”
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Risk factor analysis for stunting incidence using sparse categorical principal component logistic regression by Anna Islamiyati, Muhammad Nur, Abdul Salam, Wan Zuki Azman Wan Muhamad, Dwi Auliyah

“…The parameters of the sparse categorical principal component logistic regression model were estimated using the maximum likelihood method and the Newton-Raphson iterative approach. …”
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Gender Conditioning and Socio-economical Condition: its Association with Some Risk Factors for Atherosclerosis by Ana Mary Fernández Milán, Daysi Antonia Navarro Despaigne, Jorge Bacallao Gallestey

“…An exploratory factorial analysis was realized through the method of maximum likelihood estimation aimed at the global evaluation of the association among the three basic dimensions of this research. …”
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Precision Sensing-Aided Multi-Target Beamforming Prediction in High-Mobility ISAC Systems Based on OTFS by Chunyue Wang, Yong Wang, Huiming Zheng, Yunhao Chai, Ying Dong

“…Furthermore, we develop a three-dimensional parameter estimation algorithm named orthogonal matching pursuit based on maximum likelihood dictionary correction, which offers high accuracy and low complexity. …”
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Investigation of Anisotropic Behavior and Statistical Evolution of Acoustic Emission Energy during the Deformation of Layered Sandstone by Shujian Li, Shaobin Dong, Binting Cai, Menglai Wang, Yanhong Xie, Jingguo Luo

“…Furthermore, we used the least squares method and the maximum likelihood method to analyze the b value and power-law exponent, respectively. …”
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