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  1. 2481

    Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

    Published 2023-02-01
    “…The ML models included (i) Decision Tree, (ii) Random Forest (RF), (iii) eXtreme Gradient Boosting, and (iv) Support Vector Regression (SVR). …”
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  2. 2482

    Wavelet transform algorithm of daily load graphs for choosing parameters of hybrid energy storage by O. V. Arkhipova, N. N. Dolgikh, S. Yu. Dolinger, V. Z. Kovalev, D. S. Osipov

    Published 2020-12-01
    “…This algorithm makes it possible to choose the optimal type of wavelet function, optimal level and wavelet decomposition tree. The inverse wavelet transform (recovery) along a single branch of the approximating coefficient allows obtaining the lowfrequency component of the power graph for selecting the optimal mode of the hybrid energy storage battery. …”
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  3. 2483

    Repellent and Feeding Deterrent Activities of Butanolides and Lignans Isolated from Cinnamomum camphora against Tribolium castaneum by Yang Wang, Li-Ting Zhang, Di Zhang, Shan-Shan Guo, Chao Xi, Shu-Shan Du

    Published 2020-01-01
    “…This work provides some evidence for explaining antiinsect properties of the nonvolatile fraction of the C. camphora stem bark and helps promote the development and comprehensive utilization of this tree species.…”
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  4. 2484

    The Study of Cost-Effectiveness of Rivaroxaban versus Warfarin in Patients with Atrial Fibrillation Who Developed Ischemic Stroke by Neda Jaberi, Zahra Kavosi, Etrat Hooshmandi, Nasrin Moradi, Khosro Keshavarz, Afshin Borhani-Haghighi

    Published 2021-01-01
    “…The analysis of the collected data was carried out using SPSS18 and TreeAge software. Results. Patients who received rivaroxaban had lower costs ($ 25275 vs. $ 26554) and higher QALYs (0.5 vs. 0.33) compared to those taking warfarin. …”
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  5. 2485

    The impact of environmental variables on reed stands of the intermittent Lake Cerknica, Slovenia: 40 years of change by Nik Ojdanič, Alenka Gaberščik, Igor Zelnik, Aleksandra Golob

    Published 2025-01-01
    “…At Lake Cerknica, long-term data on water levels and temperatures, combined with four decades of Landsat satellite imagery, allowed for a comprehensive analysis of reed stand dynamics of three different reed stands using the modified soil adjusted vegetation index (MSAVI2) and an index differentiating technique. Decision tree-based data mining using the M5P algorithm effectively identified significant changes in MSAVI2. …”
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  6. 2486

    Molecular Detection and Determination of Phylogenetic Position of Watermelon Chlorotic Stunt Virus Khouzestan Isolate Based on Coat Protein Gene by Samira Pakbaz, Zahra Jelavi, Ehsan Hasanvand, Hossein Mirzaei Najafgholi

    Published 2024-02-01
    “…The sequencing results confirmed WmCSV infection in the samples. In the phylogenetic tree drawn based on the coat protein gene (AV1), Khouzestan isolates were placed in a group next to other Iranian isolates and they had most similarities to Noorabad isolate from Fars province. …”
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  7. 2487

    Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete by Fahid Aslam, Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Abdul Waheed, Arslan Akbar, Muhammad Faisal Javed, Rayed Alyousef, Hisham Alabdulijabbar

    Published 2020-01-01
    “…Moreover, variable intensity and correlation have shown that deep learning can be used to know the exact amount of materials in civil engineering rather than doing experimental work. The expression tree, as well as normalization of the graph, depicts significant accuracy between target and output values. …”
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  8. 2488

    Characterization of Streptomyces Isolates Associated with Estuarine Fish Chanos chanos and Profiling of Their Antibacterial Metabolites-Crude-Extract by Muhammad A. Kurnianto, Harsi D. Kusumaningrum, Hanifah N. Lioe

    Published 2020-01-01
    “…Three isolates were suspected as novel isolate candidates based on homology presentations and phylogenetic tree analysis. Disk-diffusion assay of the metabolite-crude-extract from the isolates showed broad-spectrum inhibitory activities against Staphylococcus aureus ATCC 25923, Bacillus cereus ATCC 10876, Escherichia coli ATCC 25922, and Pseudomonas aeruginosa InaCC B52 with minimum inhibitory concentration and minimum bactericidal concentration ranging from 2.5–10 mg/mL and 5–10 mg/mL, respectively. …”
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  9. 2489

    Diversity of Rhizophydiales (Chytridiomycota) in Thailand: unveiling the hidden gems of the Kingdom by Vedprakash G. Hurdeal, Joyce E. Longcore, E. B. Gareth Jones, Kevin D. Hyde, Eleni Gentekaki

    Published 2024-06-01
    “…Furthermore, we employed Poisson Tree Processes to infer putative species boundaries and supplement evidence for the establishment of our new Rhizophydiales species. …”
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  10. 2490

    Homeobox genes encoding WOX transcription factors in the flowering parasitic plant Monotropa hypopitys by A. V. Shchennikova, O. A. Shulga, E. Z. Kochieva, A. V. Beletsky, M. A. Filyushin, N. V. Ravin, K. G. Skryabin

    Published 2017-04-01
    “…The unique flowering achlorophyllous mycoheterotrophic plant Monotropa hypopitys obtains nutrients from the tree roots through the mycorrhizal symbiosis. In inductive conditions, the reproductive stem with bracts and an inflorescence at the top is developed from an adventitious root bud. …”
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  11. 2491

    Genetic Variation for Wild Populations of the Rare and Endangered Plant <i>Glyptostrobus pensilis</i> Based on Double-Digest Restriction Site-Associated DNA Sequencing by Yongrong Huang, Yu Li, Xiaojie Hong, Suzhen Luo, Dedan Cai, Xiangxi Xiao, Yunpeng Huang, Yushan Zheng

    Published 2024-12-01
    “…<i>Glyptostrobus pensilis</i> is an endangered tree species, and detecting its genetic diversity can reveal the mechanisms of endangerment, providing references for the conservation of genetic resources. …”
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  12. 2492

    The Chromatin Pattern of Cell Nuclei Is of Prognostic Value for Renal Cell Carcinomas by Christine François, Myriam Remmelink, Michel Petein, Roland van Velthoven, André Danguy, Eric Wespes, Isabelle Salmon, Robert Kiss, Christine Decaestecker

    Published 1998-01-01
    “…An original method of data analysis related to artificial intelligence (decision tree induction) enabled a strong prognostic model to be set up. …”
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  13. 2493

    AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector by Vikas Kumar, Shaiku Shahida Saheb, Preeti, Atif Ghayas, Sunil Kumari, Jai Kishan Chandel, Saroj Kumar Pandey, Santosh Kumar

    Published 2023-12-01
    “…In addition, we will conduct a case study on a sample of mortgage loans and compare the results of three different analytical approaches, logistic regression, decision tree, and gradient boost to see which one produced the most commercially useful insights.…”
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  14. 2494

    Enclosed Karst Depression Identification and Analysis for the Pumped Storage Power Station Reservoir Construction Using DEM by Yu Bo, Zhang Tao, Zheng Kexun, Zuo Shuangying, Han Xiao, Wang Senlin, Chen Shiwan

    Published 2023-01-01
    “…Results show that (1) the focus statistic method and local terrain contour tree model were developed to identify enclosed karst depression and its range using regular grid DEM data with 12.5 m spatial resolution, which has been applied to enclosed karst depression identification in Anlong County. (2) 7262 independent and nested depressions with an average density of 3.7/km2 were identified by using the proposed method. …”
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  15. 2495

    Forest planning, rural practices, and woodland cover in an 18th-century Alpine Valley (Val di Fiemme, Italy): A geohistorical and GIS-based approach to the history of environmental... by Nicola Gabellieri, Ettore Sarzotti

    Published 2024-10-01
    “…Documentation was collected, digitized, and mapped to build a historical GIS, showing woodland ownership status, tree species, and practices in the 18th century. …”
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  16. 2496
  17. 2497

    A machine learning based algorithm accurately stages liver disease by quantification of arteries by Zhengxin Li, Xin Sun, Zhimin Zhao, Qiang Yang, Yayun Ren, Xiao Teng, Dean C. S. Tai, Ian R. Wanless, Jörn M. Schattenberg, Chenghai Liu

    Published 2025-01-01
    “…AD was counted using qVessel (previously trained on manually labeled vessels by stained slides (CD34/a-SMA/CK19) and developed by a decision tree algorithm). As liver fibrosis progressed from F1 to F4, we observed that both AD and CPA gradually increases among the three etiologies (P < 0.05). …”
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  18. 2498

    Effects of runoff harvesting through semi-circular bund on some soil characteristics by M. Heshmati, M. Gheitury, M. Hosseini

    Published 2018-04-01
    “…In this study, to investigate the effects of runoff harvesting on soil properties in the semiarid forest, runoff harvesting through semi-circular bund was considered as a method to conserve soil and thereby combat tree mortality. In order to evaluate this hypothesis, runoff was harvested through the semi-circular bund affecting soil quality and moisture storage. …”
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  19. 2499

    A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine by Jose M. Gonzalez-Cava, José Antonio Reboso, José Luis Casteleiro-Roca, José Luis Calvo-Rolle, Juan Albino Méndez Pérez

    Published 2018-01-01
    “…The method proposed is based on a Fuzzy Inference System whose structure is obtained through a decision tree algorithm. A four-step methodology is then developed: data collection, preprocessing, Fuzzy Inference System generation, and the validation of results. …”
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  20. 2500

    Analysis of Factors Affecting the Severity of Automated Vehicle Crashes Using XGBoost Model Combining POI Data by Hengrui Chen, Hong Chen, Zhizhen Liu, Xiaoke Sun, Ruiyu Zhou

    Published 2020-01-01
    “…To compare the classification performance of different classifiers, we use two different classification models: eXtreme Gradient Boosting (XGBoost) and Classification and Regression Tree (CART). The result shows that the XGBoost model performs better in identifying the injured crashes involving AVs. …”
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