Methodology for Using Multi-Temporal Landsat Images to Monitor Urban Growth of Kirkuk Governorate by Tabark Y. Gehad, Nejat Q. Omer, Nada S. Abdulmajeed

“…The Supervised Maximum Likelihood algorithm was utilized to categorize images into urban and non-urban areas, with accuracy rates ranging from 91.25% to 96.66% between 1990 and 2020. …”
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getphylo: rapid and automatic generation of multi-locus phylogenetic trees by T. J. Booth, S. Shaw, P. Cruz-Morales, T. Weber

“…Orthologues are identified heuristically by searching for singletons (single copy genes) across all input genomes and the phylogeny is inferred from a concatenated alignment of all coding sequences by maximum likelihood. We performed a thorough benchmarking of getphylo against two existing tools, autoMLST and GTDB-tk, to show that it can produce trees of comparable quality in a fraction of the time. …”
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Accuracy Evaluation of Standardized Precipitation Index (SPI) Estimation under Conventional Assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey by Mehmet Ali Hinis, Mehmet Selim Geyikli

“…In terms of parameter estimation methods, L-moments for 3-month series and maximum likelihood approaches for 12-month series were most dominant.…”
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CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations by Trung Nguyen, George K. I. Mann, Andrew Vardy, Raymond G. Gosine

“…The optimization process is terminated using the maximum likelihood estimate based criteria. For comparison, this paper also develops a second solution to integrate VIO estimation with ranging measurements. …”
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燕科和雨燕科部分鸟类系统发育比较分析 by 刘方庆 胡梦英 文陇英

“…本文通过选择物燕科8个物种以及雨燕科5个物种,以线粒体基因Cyt <i>b</i>作为分子标记,通过分子生物学手段对燕科和雨燕科部分鸟类进行重建系统发育树,采用贝叶斯推论法(Bayesian Inference)和最大似然法(ML,Maximum Likelihood)以验证分子生物学分类结果是否与宏观形态学分类结果相一致。结果表明,两种方法所建系统发育树具有相同的拓扑结构,燕科和雨燕科鸟类形成两个不同的支系。…”
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Destination Image and Travel Motivation as Predictors of Revisit Intention: A Study of Domestic Tourists in Alor Island by Mesak Yamres Awang, Elia Maruli

“…The sample determination in this study follows the sample size guidelines for SEM-PLS analysis with a maximum likelihood estimation approach with a range between 100 and 250. …”
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Distributional Nikulin-Rao-Robson validity under a novel gamma extension with characterizations and risk assessment by Hossein Hamedani, Ahmad M. Aboalkhair, Khaoula Aidi, Ali S. Hadi, Haitham M. Yousof, Mohamed Ibrahim

“…Several financial risk indicators, such as the value-at-risk, tail-valueat-risk, tail variance, tail Mean-Variance, and mean excess loss function are considered under the maximum likelihood estimation, the ordinary least squares, the weighted least squares, and the Anderson Darling estimation methods. …”
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Prevalence of rare anatomic variants - publication bias due to selective reporting in meta-analyses studies by Vasileios Papadopoulos, Dimitrios Filippou, Aliki Fiska

“…Furthermore, we computed the relevant pooled estimate using the Freeman-Tuckey double arcsine transformation under the random effects model and the restricted maximum likelihood (REML) estimation in STATA 18. Finally, we comparatively applied Egger’s and Begg’s test, trim-and-fill analysis, and Doi plot / LFK index to assess publication bias before and after correction for maximum selective reporting. …”
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Using Futures Prices and Analysts’ Forecasts to Estimate Agricultural Commodity Risk Premiums by Gonzalo Cortazar, Hector Ortega, José Antonio Pérez

“…Calibration is achieved using a Kalman filter and maximum likelihood, with data from futures markets and analysts’ forecasts. …”
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High-energy Neutrino Source Cross-correlations with Nearest-neighbor Distributions by Zhuoyang Zhou, Jessi Cisewski-Kehe, Ke Fang, Arka Banerjee

“…In this paper, we investigate a framework for identifying and statistically evaluating the cross-correlations between IceCube data and an astrophysical source catalog based on the k -nearest-neighbor cumulative distribution functions ( k NN-CDFs). We propose a maximum likelihood estimation procedure for inferring the true proportions of astrophysical neutrinos in the point-source data. …”
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A Review of the Psyllid Genus <i>Epipsylla</i> (Hemiptera, Psyllidae) from the Chinese Mainland with Phylogenetic Considerations and the Description of a New Species by Zhixin He, Daniel Burckhardt, Xinyu Luo, Rongzhen Xu, Wanzhi Cai, Fan Song

“…The results of the molecular phylogenetic analysis using the maximum likelihood method support the assignment to Ciriacreminae.…”
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Change Detection Analysis and Deforestation Rates in Oluwa Forest Reserve, Ondo State, Nigeria by J.O. Mephors, O.S. Afolabi, O.M. Ogoliegbune, I.S. Adamu, A.R. Orunkoyi

“…This study examined the use of GIS and remote sensing techniques to gain a quantitative understanding of the spatiotemporal dynamics of LULC. Maximum likelihood classifier approach was used to detect LULC changes in the study area of 1989 to 2019 using three Landsat images from 1989, 2004 and 2019. …”
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Evaluating the accuracy of hyperspectral and multispectral images in wetland cover classification using data mining models (Case study: Shadegan wetland) by Hamid Bagheri, Rahime Rostami

“…Due to the spectral similarity between different plant species of wetlands and plants along the wetlands and agricultural lands, this is faced with problems using multispectral data and hyperspectral data can be very useful in this regard. in this study power of hyperspectral and multispectral sensors in identifying the characteristics of the wetland and the ability of ETM + (2011), Hyperion (2011) and ALI (2011) sensors to study the characteristics of Shadegan wetland during 1390 and different spectral indices with a suitable combination of The satellite imagery bands of these sensors were compared as input to a variety of classification methods including maximum likelihood, minimum distance, neural network and support vector machine. …”
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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…Moreover, we propose an integrated end-to-end neural network learning framework based on one complete encoder-decoder architecture transformer model: Transfer Text-to-Text Transformer (T5), by learning the embedding vector representation space of conditional molecular properties to encode and guide the vector representation of SMILES sequences, resulting in the output of the final decoder block with a softmax output (maximum likelihood objective). Moreover, we evaluated the performance of these NLP-based generation models and another new model architecture based on a selective state space and selected the best approach jointing a transfer learning strategy for de novo drug discovery to target L858R/T790M/C797S-mutant EGFR in non-small cell lung cancer.…”
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Technical and cost efficiency analysis of irrigated onion production insight from smallholders irrigated onion farmers in north East Amhara National Regional State, Ethiopia by Kindye Ayen, Tariku Kidane, Adane Wubet

“…A single-step Cobb–Douglas stochastic frontier model was used to estimate both the technical and cost efficiency of irrigated onion production.ResultsThe results from the maximum likelihood stochastic frontier model result indicated that the technical efficiency in onions was influenced by the age of the household head, slope of the land, number of extension contacts with development agents, distance from the sampled respondent’s residence to the office of the kebele agriculture office, and the number of oxen owned by the sampled households. …”
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An Overview of Composite Standard Elastic-Net Distribution Based on Complex Wavelet Coefficients by Tahani A. Aloafi, Hassan M. Aljohani

“…Statistical tools have changed significantly in the past decade; when the maximum likelihood method is usually applied, it provides an inaccurate solution due to its unsuitable properties and causes problems in fit. …”
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Assessing Landsat Processing Levels and Support Vector Machine Classification by Nehad Al-Salmany, Taghreed A. Naji

“…Conversely, when using the maximum-likelihood classifier, the highest accuracy (83.06%) was achieved with FLAASH. …”
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Statistical analysis of stress–strength in a newly inverted Chen model from adaptive progressive type-Ⅱ censoring and modelling on light-emitting diodes and pump motors by Refah Alotaibi, Mazen Nassar, Zareen A. Khan, Ahmed Elshahhat

“…The inferences are based on two estimation approaches: maximum likelihood and Bayesian. The Bayes estimates are obtained with the Markov Chain Monte Carlo sampling process leveraging the squared error and LINEX loss functions. …”
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Bir Kuşak Bir Yol Girişimi ve Türkiye: Türkiye Girişime Dâhil Olmalı mı? by Erdem ATEŞ

“…Two separate models were established for export and import, and Prais-Winsten (PCSEs) and Poisson Pseudo-Maximum Likelihood (PPML) estimators were used in the models. …”
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Monitoring Land Cover Changes in Past 32 Years Using Remote Sensing Technique (Case Study: Pishva Town, Tehran) by Negar Ghasemi, Marzieh Alikhah Asl, Mohammad Rezvani

“…The aim of this research is land  cover changes detection in a period of 32 years in Pishva town with using remote sensing technique .First TM, ETM and OLI images for the years 1986, 2002 and 2018 were collected respectively and after geometric and radiometric corrections, images were classified by using maximum likelihood classification methods. Kappa and overall indexes were used to calculate classification accuracy. …”
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