Mapping the Growing Stem Volume of the Coniferous Plantations in North China Using Multispectral Data from Integrated GF-2 and Sentinel-2 Images and an Optimized Feature Variable S... by Xinyu Li, Hui Lin, Jiangping Long, Xiaodong Xu

“…This study provides some insight into the application of optical images, optimization of the feature variable combination, and modeling algorithm selection for estimating the GSV of coniferous plantations.…”
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Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods by Jian-Bin Li, Zu-Yu Chen, Xu Li, Liu-Jie Jing, Yun-Pei Zhangf, Hao-Han Xiao, Shuang-Jing Wang, Wen-Kun Yang, Lei-Jie Wu, Peng-Yu Li, Hai-Bo Li, Min Yao, Li-Tao Fan

“…Part I highlights the important features of the individual methods applied by the contributors, including the structures of the algorithm, selection of hyperparameters, and model validation approaches.…”
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Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United... by Xiang Ren, Zhongyuan Mi, Panos G. Georgopoulos

“…There is however a lack of comparisons of methods available within these two modeling frameworks, that can guide model/algorithm selection in air quality epidemiology. Objective: The present study compares thirteen algorithms for spatial/spatiotemporal modeling applied for daily maxima of 8-hour running averages of ambient ozone concentrations at spatial resolutions corresponding to census tracts, to support estimation of annual ozone design values across the contiguous US. …”
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An Automated Machine Learning Framework in Unmanned Aircraft Systems: New Insights into Agricultural Management Practices Recognition Approaches by Kai-Yun Li, Niall G. Burnside, Raul Sampaio de Lima, Miguel Villoslada Peciña, Karli Sepp, Victor Henrique Cabral Pinheiro, Bruno Rucy Carneiro Alves de Lima, Ming-Der Yang, Ants Vain, Kalev Sepp

“…The recent trend of automated machine learning (AutoML) has been driving further significant technological innovation in the application of artificial intelligence from its automated algorithm selection and hyperparameter optimization of the deployable pipeline model for unraveling substance problems. …”
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Upper-Limb Motion Recognition Based on Hybrid Feature Selection: Algorithm Development and Validation by Qiaoqin Li, Yongguo Liu, Jiajing Zhu, Zhi Chen, Lang Liu, Shangming Yang, Guanyi Zhu, Bin Zhu, Juan Li, Rongjiang Jin, Jing Tao, Lidian Chen

“…This approach serves to improve feature selection and classification algorithm selection for upper-limb motion recognition based on wearable sensor data, which can be extended to motion recognition of more motion types and participants.…”
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Analyzing cadmium-phytochelatin2 complexes in plant using terahertz and circular dichroism information by Yinglei Zhao, Mostafa Gouda, Guohong Yu, Chenghao Zhang, Lei Lin, Pengcheng Nie, Wei Huang, Hongbao Ye, Yunxiang Ye, Chengquan Zhou, Yong He

“…Results showed PC2 chelates Cd2+ in a 2:1 ratio to form Cd(PC2)2 complex; Cd connected to thoils of PC2 and changed β-turn and random coil of PC2 peptide chain to β-Sheet which presented as terahertz vibrations of PC2 around 1.03 and 1.71 THz being suppressed; the best models for detecting the complex in pak choi were obtained by partial least squares regression modeling combined with successive projections algorithm selection; the models used PC2 as a natural probe for visualizing and quantifying chelated Cd in pak choi leaf and achieved a limit of detection up to 1.151 ppm. …”
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Spectral Analysis of Digital Images as a New Method in Diagnosis of Malignant Melanoma by Oksana Hotsko, Igor Galaychuk

“…The following algorithm: selection of the area and segmentation of the tumours nevus image; decomposition of the image into primary colours (red, green and blue), and extraction of their histograms; histographic evaluation of the colour spectra using absolute and relative values and charts built using Microsoft Excel. …”
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Spectral Analysis of Digital Images as a New Method in Diagnosis of Malignant Melanoma by Oksana Hotsko, Igor Galaychuk

“…The following algorithm: selection of the area and segmentation of the tumours nevus image; decomposition of the image into primary colours (red, green and blue), and extraction of their histograms; histographic evaluation of the colour spectra using absolute and relative values and charts built using Microsoft Excel. …”
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Development and validation of a diagnostic model for the identification of chronic ocular graft-versus-host disease (oGVHD) by Zhan Shen, Zhan Shen, Bohao Hu, Bohao Hu, Liyuan Tao, Jiao Ma, Jiao Ma, Rongmei Peng, Rongmei Peng, Yinghan Zhao, Yinghan Zhao, Jing Hong, Jing Hong

“…Binary logistic regression (backward LR algorithm) selection demonstrated that three variables retained diagnostic significance for chronic oGVHD: CFS (OR = 2.71 (1.92–3.81), p < 0.001), Schirmer’s test score without anesthesia (OR = 0.83 (0.76–0.91), p < 0.001), and conjunctival score (OR = 1.96 (1.13–3.42), p = 0.031). …”
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MOVING TOWARDS GLOBAL SATELLITE BASED PRODUCTS FOR MONITORING OF INLAND AND COASTAL WATERS. REGIONAL EXAMPLES FROM EUROPE AND SOUTH AMERICA by E. Spyrakos, P. Hunter, S. Simis, C. Neil, C. Riddick, S. Wang, A. Varley, M. Blake, S. Groom, J. Torres Palenzuela, L. Vilas Gonzalez, C. Cardenas, M. Frangopulos, X. Aguilar Vega, J. L. Iriarte, A. Tyler

“…This study provides an overview of the challenges and solutions of developing a global observation platform, including the diverse and complex optical properties of inland waters and guided algorithm selection procedure required to deliver reliable data. …”
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Machine learning approaches in microbiome research: challenges and best practices by Georgios Papoutsoglou, Georgios Papoutsoglou, Sonia Tarazona, Marta B. Lopes, Marta B. Lopes, Thomas Klammsteiner, Thomas Klammsteiner, Eliana Ibrahimi, Julia Eckenberger, Julia Eckenberger, Pierfrancesco Novielli, Pierfrancesco Novielli, Alberto Tonda, Alberto Tonda, Andrea Simeon, Rajesh Shigdel, Stéphane Béreux, Stéphane Béreux, Giacomo Vitali, Sabina Tangaro, Sabina Tangaro, Leo Lahti, Andriy Temko, Marcus J. Claesson, Marcus J. Claesson, Magali Berland

“…To assist decision-making, we offer a set of recommendations on algorithm selection, pipeline creation and evaluation, stemming from the COST Action ML4Microbiome. …”
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Assessment of Multi-Spectral Imagery and Machine Learning Algorithms for Shallow Water Bathymetry Inversion by Wang Zhaofan, Ma Zicheng, Xiong Zhongzhao, Sun Tiancheng, Huang Zanhui, Fu Dinghui, Chen Liang, Xie Fei, Xie Cuirong, Chen Si

“…The results have certain reference value for data source and algorithm selection in shallow water depth inversion based on multispectral remote sensing data.…”
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How algorithmically curated online environments influence users’ political polarization: Results from two experiments with panel data by Ole Kelm, Tim Neumann, Maike Behrendt, Markus Brenneis, Katharina Gerl, Stefan Marschall, Florian Meißner, Stefan Harmeling, Gerhard Vowe, Marc Ziegele

“…Yet, contrary to popular expectations, these effects were not amplified by algorithmic selection. Still, for one topic, exposure to algorithmically selected arguments led to slightly stronger attitude polarization than randomly selected arguments.…”
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Using Targeted Transcriptome and Machine Learning of Pre- and Post-Transplant Bone Marrow Samples to Predict Acute Graft-versus-Host Disease and Overall Survival after Allogeneic S... by Scott D. Rowley, Thomas S. Gunning, Michael Pelliccia, Alexandra Della Pia, Albert Lee, James Behrmann, Ayrton Bangolo, Parul Jandir, Hong Zhang, Sukhdeep Kaur, Hyung C. Suh, Michele Donato, Maher Albitar, Andrew Ip

“…The algorithm selected 20 genes for predicting survival included genes involved in MAPK and chemokine signaling. …”
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Job Management System for Cell Monitoring Services by Harry Ariyanto Putra

“…In the cloud, the images will be combined and processed according to the algorithm selected by the customers. These processes are running in the cloud and are repeated based on the interval that are defined by the customer. …”
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Generalised scepticism: how people navigate news on social media by Fletcher, R, Nielsen, R

“…Across all four countries, with their different political and media systems, we find (i) that the majority do not understand exactly how the information they receive is filtered by algorithms, but they do not uncritically accept it either, because they are sceptical of all forms of selection ‒ including that performed by editors and journalists, (ii) that approval for algorithmic selection is stronger amongst younger people, and (iii) that those with a high level of interest in ‘soft’ news topics (and low interest in ‘hard’ news topics) are more likely to approve of news algorithmically selected on the basis of what their friends have consumed. …”

Combination of clustering algorithms to maximize the lifespan of distributed wireless sensors by D. D. Mebratu, C. Kim

“…This paper reports the details of the clustering algorithms selected for use in the combination approach and, based on the simulation results, compares the performance of the combination approach with that of the LEACH algorithm.…”
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Using a discrete product model to determine the design element junctures by Lavrentyieva Mariya, Govorkov Aleksey

“…We herein propose an algorithm selecting base surfaces for basing the product being assembled; selections are made on the basis of the 3D model of such product.…”
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Discussion of The Forward Search: Theory and Data Analysis by Anthony C. Atkinson, Marco Riani, and Andrea Ceroli. by Johansen, S, Nielsen, B

“…The Forward Search Algorithm is a statistical algorithm for obtaining robust estimators of regression coefficients in the presence of outliers. The algorithm selects a succession of subsets of observations from which the parameters are estimated. …”

Simple and effective method for selecting quasi-identifier by Omer, Amani Mahagoub, Mohamad, Mohd. Murtadha

“…For this purpose, two algorithms, Selective followed by Decompose algorithm, are proposed. …”
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