Forest Non-Lambertian Modeling Error Correction Based on DART by Dacheng Li, Hui Jia, Yue Lv, Kaiqi Nan, Shengzhen Zhang

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Experiments on software error prediction using Decision Tree and Random Forest algorithms by Ilona Bluemke, Paweł Borsukiewicz

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Temporal pattern in basal area prediction error of a growth model for Quebec’s temperate forest by Hugues Power, Isabelle Auger

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Source Code Error Understanding Using BERT for Multi-Label Classification by Md Faizul Ibne Amin, Yutaka Watanobe, Md Mostafizer Rahman, Atsushi Shirafuji

“…To aid in understanding and classifying these errors, we propose a multi-label error classification approach for source code using fine-tuned BERT models (BERT_Uncased and BERT_Cased). …”
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Defect Detection and Error Source Tracing in Laser Marking of Silicon Wafers with Machine Learning by Hsiao-Chung Wang, Teng-To Yu, Wen-Fei Peng

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Evaluation of Radiometric and Polarimetric Errors in the LT-1A Satellite Data Based on Tropical Forests in the Amazon by Lei SHI, Weidong SUN, Le YANG, Jie YANG, Lingli ZHAO, Pingxiang LI, Yabo LIU

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Implementing GitHub Actions continuous integration to reduce error rates in ecological data collection by Albert Y. Kim, Valentine Herrmann, Ross Barreto, Brianna Calkins, Erika Gonzalez‐Akre, Daniel J. Johnson, Jennifer A. Jordan, Lukas Magee, Ian R. McGregor, Nicolle Montero, Karl Novak, Teagan Rogers, Jessica Shue, Kristina J. Anderson‐Teixeira

“…Yet, data collection errors are common, and data analysis often lags far enough behind its collection that many errors can no longer be corrected, nor can anomalous observations be revisited. …”
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Retracted: An Automatic Pronunciation Error Detection and Correction Mechanism in English Teaching Based on an Improved Random Forest Model by Journal of Electrical and Computer Engineering

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Incorporating Forest Mapping-Related Uncertainty into the Error Propagation of Wall-to-Wall Biomass Maps: A General Approach for Large and Small Areas by Hassan C. David, Alexander C. Vibrans, Rorai P. Martins-Neto, Ana Paula Dalla Corte, Sylvio Péllico Netto

“…The sources of uncertainty in wall-to-wall AGB maps propagate from the tree to pixel, but uncertainty due to forest cover mapping is rarely incorporated into the error propagation process. …”
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The Influence of the Spatial Co-Registration Error on the Estimation of Growing Stock Volume Based on Airborne Laser Scanning Metrics by Marek Lisańczuk, Krzysztof Mitelsztedt, Krzysztof Stereńczak

“…One of them, which is related to the core aspect of this method, is the spatial co-registration error between ground measurements and RS data. This error arises mainly from the imperfection of the methods for positioning the sample plots under the forest canopy. …”
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Utilizing Machine Learning Approach to Forecast Average Location Determination Errors in Wireless Sensor Networks by Zhihui Zhu, Meifang Zhu

Subjects: “…average localization error…”
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Predicting Object Communication Errors in Constructor Development by Abdul Majid Soomro, Awad Bin Naeem, Susama Bagchi, Babul Salam KSM Kader Ibrahim, Sanjoy Kumar Debnath

“…An important challenge in dynamic software development is to predict object formation run-time object communication errors in complex environments involving multiple and multi-level object inheritance. …”
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Detecting and reducing heterogeneity of error in acoustic classification by Oliver C. Metcalf, Jos Barlow, Yves Bas, Erika Berenguer, Christian Devenish, Filipe França, Stuart Marsden, Charlotte Smith, Alexander C. Lees

“…Second, we develop a method to assess the extent of heterogeneity of error in a random forest classification model for six Amazonian bird species. …”
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Allometric Equations for Aboveground Biomass Estimation in Natural Forest Trees: Generalized or Species-Specific? by Yuxin Shang, Yutong Xia, Xiaodie Ran, Xiao Zheng, Hui Ding, Yanming Fang

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Towards an effective in-situ biodiversity assessment in European forests by Sabina Burrascano, Lucas Chojnacki, Lorenzo Balducci, Francesco Chianucci, Elena Haeler, Sebastian Kepfer-Rojas, Yoan Paillet, Rafael B. de Andrade, Steffen Boch, Pallieter De Smedt, Markus Fischer, Itziar Garcia Mijangos, Jacob Heilmann-Clausen, Jeňýk Hofmeister, Jan Hošek, Daniel Kozák, Gergely Kutszegi, Thibault Lachat, Martin Mikoláš, Ferenc Samu, Sonia Ravera, Peter Schall, Tommaso Sitzia, Miroslav Svoboda, Giovanni Trentanovi, Mariana Ujhazyova, Kris Vandekerkhove, Flóra Tinya, Peter Odor

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Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions by Ruoqi Wang, Yagang Lu, Dengsheng Lu, Guiying Li

Subjects: “…Forest canopy height…”
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Evaluating the impact of field-measured tree height errors correction on aboveground biomass modeling using airborne laser scanning and GEDI datasets in Brazilian Amazonia by Nadeem Fareed, Izaya Numata

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Virtual fencing in remote boreal forests: performance of commercially available GPS collars for free-ranging cattle by Erik Versluijs, Morten Tofastrud, Anna Hessle, Robert Serrouya, Derek Scasta, Petter Wabakken, Barbara Zimmermann

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How Surgeons and Surgical Leaders Manage Complications, Medical Errors, Malpractice, and Second Victim SyndromeThe Uses of SorrowTransparency, Compassion, and Truth in Medical Erro... by Peter M. Waters, David R. DeMaso, James J. Horgan, Steven L. Frick

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A hybrid method for forest aboveground biomass estimation: fusion of individual tree- and area-based approaches over northeast China by Zhen Zhen, Xiang Li, Ye Ma, Yinghui Zhao, Xiaochun Wang

“…This study provides technical support for upscaling AGB estimation from individual tree to extensive forest and lays a solid foundation for precise forestry, sustainable forest management, and the attainment of carbon neutrality.…”
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