Improving, Restoring, and Managing Natural Resources on Rural Properties in Florida: Sources of Financial Assistance by Chris Demers, Martin B. Main, Mark E. Hostetler

Subjects: “…Forest Management and Stewardship…”
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Penerapan Decision Tree dan Random Forest dalam Deteksi Tingkat Stres Manusia Berdasarkan Kondisi Tidur by Sza Sza Amulya Larasati, Elok Nuraida Kusuma Dewi, Brahma Hanif Farhansyah, Fitra Abdurrachman Bachtiar, Fajar Pradana

Subjects: “…Decision Tree, Deteksi, Random Forest, Stres, Tidur…”
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Evaluación de la concentración de macro y micronutrimentos en la biomasa aérea (BA) de la melina (Gmelina arborea) de uno a 12 años de edad en la zona sur de Costa Rica by Rafael Murillo Cruz, María José Avellán Zumbado, Carlos E. Ávila Arias, Alfredo Alvarado Hernández

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Canopy structural heterogeneity drives α and β species–genetic diversity correlations in a Chinese subtropical forest by Zhiliang Yao, Xia Pan, Xin Yang, Xiaona Shao, Bin Wang, Yun Deng, Zhiming Zhang, Qiaoming Li, Luxiang Lin

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Characteristics of Soil Active Carbon Fractions and Carbon Pool Stability in Major Forest Types in Northern Daxing’an Mountains by LIU Beibei, CAI Tijiu

“…[Objective] Soil organic carbon is an important component of the carbon cycle in forest ecosystems, and active organic carbon can indicate changes in soil carbon pools. …”
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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

Subjects: “…Random Forest…”
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Ice-nucleating particles active below −24 °C in a Finnish boreal forest and their relationship to bioaerosols by F. Vogel, F. Vogel, M. P. Adams, L. Lacher, P. B. Foster, G. C. E. Porter, G. C. E. Porter, B. Bertozzi, B. Bertozzi, K. Höhler, J. Schneider, T. Schorr, N. S. Umo, J. Nadolny, Z. Brasseur, P. Heikkilä, E. S. Thomson, N. Büttner, M. I. Daily, R. Fösig, A. D. Harrison, J. Keskinen, U. Proske, U. Proske, U. Proske, J. Duplissy, J. Duplissy, M. Kulmala, T. Petäjä, O. Möhler, B. J. Murray

“…<p>Cloud properties are strongly influenced by ice formation; hence, we need to understand the sources of ice-nucleating particles (INPs) around the globe. Boreal forests are known as sources of bioaerosol, and recent work indicates that these dominate the INP spectra above <span class="inline-formula">−</span>24 <span class="inline-formula">°C</span>. …”
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Response of Microbial Community Structure and Diversity to Nitrogen Deposition in Soils of Pinus yunnanensis Forest of the Central Yunnan Plateau by SONG Chenggong, WANG Keqin, SONG Yali, LI Xiaodong, ZHANG Jiguo, LI Yun, DENG Qiujiang

“…[Objective] To study the characteristics of changes in chemical properties and diversity and structural composition of soil microbial communities in Pinus yun-nanensis soils on the Central Yunnan Plateau under nitrogen deposition, and to analyze the correlation between soil microorganisms and soil chemical properties, in order to provide a scientific basis for understanding the trend of changes in nutrient cycling in forest soil ecosystems under nitrogen deposition and observing soil microbiological changes. …”
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Effects of Mixing Tree Species on Soil Enzyme Activity and Carbon-Use Efficiency in Eroded Masson Pine Forest by WANG Man, JIANG Yongmeng, ZHANG Shiliang, ZHANG Jinxiu, ZHENG Linmin, ZENG Zhiwei, LYU Maokui, XIE Jinsheng

“…Therefore, the differences between pure forest and secondary forest should be considered in future management and research of P. massoniana forest.…”
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Relationship between deadwood structural diversity and carbon stock along environmental and disturbance gradients in Tropical dry forests by Masanja Sarafina N., Shirima Deo D., Zahabu Eliakimu M.

“…Deadwood is a substantial component of forest ecosystems playing a vital role in maintaining ecosystem health and functioning. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…As well as using Random Forest for classification, the Densenet-201-Random-Forest approach has outperformed many of the previous models used in other studies, having an accuracy rate of 99.719 percent. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

Subjects: “…Random Forest Regression…”
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Ecosystem carbon stock variation along forest stand ages: insight from eastern coast mangrove ecosystem of India by Muktipada Panda, Bikash R. Dash, Sudam C. Sahu

“…Understanding the carbon stock dynamics along the age of forest stands in the mangrove forest ecosystem is of significance for managing the forests and their carbon accumulation. …”
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Evaluation of Non-Timber forest Products (NTFPs) In Bronze Casting Enterprise at Egun Street, Benin City, Edo state by C Kalu, EN Aigbobo

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REFINED ESTIMATES OF DIRECT PYROGENIC CARBON EMISSIONS IN RUSSIAN FORESTS BASED ON REMOTE MONITORING DATA FROM 2011 TO 2023 by D. V. Ershov, E. N. Sochilova, K. A. Kovganko

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A Large-Scale Snow Depth Retrieval Method for Alaska Based on Point-Surface Fusion and Random Forest Model by Ningjun Wang, Tiantian Liu

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Latitudinal patterns of tree β-diversity and relevant ecological processes vary across spatial extents in forests of southeastern China by Maochou Liu, Wenxiang Wu, Ke Wang, Xinshuai Ren, Xueqin Zhang, Lei Wang, Jing Geng, Bo Yang

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Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer by Xiaolong Liu, Pengxian Tao, He Su, Yulan Li

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Economic Value of Florida Water Resources: Contributions of Tourism and Recreation to the Economy by Tatiana Borisova, Kurt Oehlbeck, Xiang Bi, Tara Wade, Alan Hodges, Kelly Grogan, Fe Hei

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