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  1. 1721

    The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

    Published 2025-02-01
    “…Machine learning algorithms (Support Vector Machine, Decision Tree, and Logistic Regression) were employed to validate the findings and elucidate the underlying relationship between ADL and SI.BackgroundSI poses significant challenges to the health and quality of life of middle-aged and older adults, increasing the demands on community-based and home care services. …”
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  2. 1722

    Deep-learning-based canopy height model generation from sub-meter resolution panchromatic satellite imagery by Charles J Abolt, Javier E Santos, Adam L Atchley, Lucas Wells, Daithi Martin, Russell A Parsons, Rodman R Linn

    Published 2025-01-01
    “…Canopy height models (CHMs) with sufficient resolution to distinguish individual trees are useful for a variety of applications. However, standard techniques to acquire such data, such as airborne lidar surveying, are often prohibitively expensive. …”
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  3. 1723

    Anaphore possessive et anaphore associative : le cas des noms collectifs by Mathilde Salles

    Published 2015-09-01
    “…., regiment/soldiers, caravan/camels, forest/trees). This relation can be extremely flexible from the anaphoric standpoint, compared to closely related semantic relations such as meronymy (e.g., tree/trunk, car/engine), but can also involve surprising impossibilities. …”
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  4. 1724
  5. 1725

    National antibiotic consumption is strongly related to the prevalence of antibiotic resistance across bacterial clades by Stilianos Louca

    Published 2025-02-01
    “…Thus, national antibiotic consumption leaves a signal on the prevalence of ARGs across the bacterial tree, even in non-clinical environments.…”
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  6. 1726

    Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method by Xiao-Yan Gao, Abdelmegeid Amin Ali, Hassan Shaban Hassan, Eman M. Anwar

    Published 2021-01-01
    “…The different methods are used to evaluate models: accuracy, recall, precision, F-measure, and ROC.The results show the bagging ensemble learning method with decision tree has achieved the best performance.…”
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  7. 1727

    Pine Shoot Beetle, Tomicus piniperda (Linnaeus) (Insecta: Coleoptera: Scolytidae) by Michael Thomas, Wayne N. Dixon, Thomas R. Fasulo

    Published 2005-04-01
    “… Tomicus piniperda (Linnaeus), a pine shoot beetle native to Europe, was first discovered in the United States in July 1992, in a Christmas tree plantation in Ohio. Since then, intensive surveying by the U.S. …”
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  8. 1728

    Lepton flavor-violating Higgs decays mediated by ultralight gauge boson by Marcela Marín, R. Gaitán, R. Martinez

    Published 2024-12-01
    “…Our analysis matches a model generating the lepton flavor-violating interaction $$\bar{\ell }_i\ell _j\chi $$ ℓ ¯ i ℓ j χ at tree level with an effective field theory, safeguarding a physical massless $$\chi $$ χ -boson limit of the observables. …”
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  9. 1729

    A Novel Optimization-Based Approach for Content-Based Image Retrieval by Manyu Xiao, Jianghu Lu, Gongnan Xie

    Published 2013-01-01
    “…In this work, new optimization strategies are proposed on vocabulary tree building, retrieval, and matching methods. More precisely, a new clustering strategy combining classification and conventional K-Means method is firstly redefined. …”
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  10. 1730

    The Value Chain of Moringa oleifera Plant and the Process of Producing Its Biodiesel in Ghana by Mohammed Takase, Paul Kwame Essandoh, Richard Kwadzo Asare, Kizzie-Hayford Nazir

    Published 2022-01-01
    “…Dubbed as the “Miracle Tree,” Moringa has a number of nutritional, pharmaceutical, and cosmetic applications. …”
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  11. 1731

    Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar, Tanuj Chopra

    Published 2018-01-01
    “…Using R miner, the most widely used data mining techniques decision tree (DT) model, random forest (RF) model, and neural network (NN) model have been used and compared with the help of coefficient of determination (R2) and root-mean-square error (RMSE), and it is inferred that the NN model predicts with high accuracy for compressive strength of concrete.…”
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  12. 1732

    Summary of 2013/14 Production Costs for Indian River Fresh Market Grapefruit and Southwest Florida Juice Oranges by Fritz Roka, Ariel Singerman, Ronald Muraro

    Published 2015-08-01
    “…The Florida citrus industry is on a steep learning curve as it collectively tries to maintain economically sustainable fruit yields from HLB-infected trees. Growers are experimenting with new materials and management strategies to reduce psyllid populations and improve a tree’s overall nutritional health. …”
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  13. 1733

    Citrus Fruit Pigments by Fariborz Habibi, Ali Sarkhosh, Jeongim Kim, Muhammad Shahid, Fred Gmitter, Jeffrey Brecht

    Published 2023-11-01
    “…Pigmentation is influenced by genetics, environmental conditions, and tree management. Mature fruit of edible citrus are diverse in size, flavor, and peel and flesh color. …”
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  14. 1734

    Variable Rate Technology and Its Application in Precision Agriculture by Vivek Sharma, Uday Bhanu Prakash Vaddevolu, Shiva Bhambota, Yiannis Ampatzidis, Haimanote Bayabil, Aditya Singh

    Published 2025-01-01
    “…This publication also provides an example of the control system for variable rate application of agricultural inputs in row and tree crops. Written by Vivek Sharma, Uday Bhanu Prakash Vaddevolu, Shiva Bhambota, Yiannis Ampatzidis, Haimanote Bayabil, and Aditya Singh, and published by the UF/IFAS Department of Agricultural and Biological Engineering, January 2025. …”
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  15. 1735

    Applying Hotspot Detection Methods in Forestry: A Case Study of Chestnut Oak Regeneration by Songlin Fei

    Published 2010-01-01
    “…In general, hotspot detection is a viable tool for assisting natural resource managers with identifying areas possessing significantly high or low tree regeneration.…”
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  16. 1736

    Anatomy of xylem and phloem in stems and roots of Populus sibirica and Ulmus pumila from semi-arid steppe in Mongolia by Anastazija Dimitrova, Angela Balzano, Katarina Čufar, Gabriella S. Scippa, Maks Merela, Antonio Montagnoli, Batkhuu Nyam-Osor, Enkhchimeg Tsedensodnom Chimgee, Donato Chiatante

    Published 2023-09-01
    “…We discuss the critical aspects which need to be considered when using the microcoring methodology, along with the need for further studies on wood and phloem formation of less-commonly studied tree species and their characteristics when grown in semi-arid environments. …”
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  17. 1737

    Sequential Uniformly Reweighted Sum-Product Algorithm for Cooperative Localization in Wireless Networks by Wei Li, Zhen Yang, Haifeng Hu

    Published 2014-08-01
    “…The proposed algorithm combines the distributed nature of belief propagation (BP) with the improved performance of sequential tree-reweighted message passing (TRW-S) algorithm. …”
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  18. 1738

    Syntactic Analysis of Movement Transformation in Bahasa Indonesia by Ruly Adha

    Published 2022-12-01
    “…The methods used in analysing sentences were bracketing and tree diagram. Some types of movement transformation that were applied in Bahasa Indonesia were Affix Hopping, Interrogative (Aux Movement), Wh-Movement, Passive Transformation, Dative Movement, Topicalization, Particle Movement, and Relative Movement. …”
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  19. 1739

    Spam Email Detection using Naïve Bayes classifier by Wang Liansong

    Published 2025-01-01
    “…Various algorithms such as the tree-based model, support vector machine Algorithm, and Convolutional Neural Network have been explored in prior research to tackle this challenge. …”
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  20. 1740

    A Clustering Protocol for Wireless Sensor Networks Based on Energy Potential Field by Zuo Chen, Yao Xiao, Xiaodong Li, Renfa Li

    Published 2013-01-01
    “…These clusters construct an intercluster routing tree according to the potential difference of different equipotential fields. …”
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