Showing 2,521 - 2,540 results of 4,451 for search '"forest"', query time: 0.06s Refine Results
  1. 2521

    Identifying Smart Strategies for Effective Agriculture Solution Using Data Mining Techniques by Anthony Jesus Bustamante Suarez, Barjinder Singh, Firas Husham Almukhtar, Rajnish Kler, Sonali Vyas, Karthikeyan Kaliyaperumal

    Published 2022-01-01
    “…Use of the CART and random forest algorithms is a data mining technique that may be used to various datasets. …”
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    Article
  2. 2522

    Lessons Learned from Evaluations of Citizen Science Programs by Luke Gommerman, Martha C. Monroe

    Published 2012-06-01
    “…Monroe, and published by the UF Department of School of Forest Resources and Conservation, May 2012. FOR291/FR359: Lessons Learned from Evaluations of Citizen Science Programs (ufl.edu) …”
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    Article
  3. 2523

    Pratiques ethno-vétérinaires sur les éléphants au Laos by Nicolas Lainé

    Published 2020-06-01
    “…According to them, elephants have a rich knowledge of the forest world, and are able to complete their treatments on their own. …”
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    Article
  4. 2524

    Teach Aquaculture Curriculum: Spawning and Rearing Bivalve Molluscs--Larval Culture by R. Leroy Creswell, Cortney L. Ohs, Craig S. Kasper, Carlos V. Martinez, Elisa J. Livengood, Amber L. Garr, Frank A. Chapman, Brian E. Myers

    Published 2010-08-01
    “…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, July 2010. …”
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    Article
  5. 2525

    Arboreal Burials in Nicrophorus spp. (Coleoptera: Silphidae) by Amanda J. Lowe, Randolph F. Lauff

    Published 2012-01-01
    “…Nest boxes were suspended in the canopy of two forest habitats in Nova Scotia, Canada, to determine if this microhabitat fostered the same behaviour. …”
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    Article
  6. 2526

    PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

    Published 2022-11-01
    “…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
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    Article
  7. 2527

    On the Effectiveness of Graph Statistics of Shareholder Relation Network in Predicting Bond Default Risk by Zhiguo Huang

    Published 2022-01-01
    “…The structure statistics perform best among all graph statistics overall, and Cascade Forest and LightGBM perform best among all seven machine learning methods.…”
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    Article
  8. 2528

    Teach Aquaculture Curriculum: Introduction by Cortney L. Ohs, R. Leroy Creswell, Amber L. Garr, Carlos V. Martinez, Brian E. Myers, Elisa J. Livengood, Craig S. Kasper, Frank A. Chapman

    Published 2010-08-01
    “…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, July 2010. …”
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    Article
  9. 2529

    Lessons Learned from Evaluations of Citizen Science Programs by Luke Gommerman, Martha C. Monroe

    Published 2012-06-01
    “…Monroe, and published by the UF Department of School of Forest Resources and Conservation, May 2012. FOR291/FR359: Lessons Learned from Evaluations of Citizen Science Programs (ufl.edu) …”
    Get full text
    Article
  10. 2530

    Être ethnologue au Yunnan by Aurélie Névot

    Published 2023-06-01
    “…I begin by setting the scene of the main metamorphoses experienced by a local minority: the Sani branch of the Yi nationality, located in the Stone Forest. Then I discuss—implicitly at first, then more centrally—ethnographic practice and conceptualisation in anthropology. …”
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    Article
  11. 2531

    Modelling for the Reduction and Spread Transmission of the Dynamics and Control of Zika virus Disease: Using Ordinary Differential Equations by G. Adamu, A.S. Ndagara, M. Mamuda, I.U. Omatola

    Published 2020-01-01
    “…The Zika virus (ZIKV) was first identified and isolated from the Zika forest in Uganda in 1947. This paper focuses on human recovery from treatment and death of mosquitoes from insecticides in order to reduce the spread of the virus. …”
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    Article
  12. 2532

    Teach Aquaculture Curriculum: Spawning and Rearing Bivalve Molluscs--Larval Culture by R. Leroy Creswell, Cortney L. Ohs, Craig S. Kasper, Carlos V. Martinez, Elisa J. Livengood, Amber L. Garr, Frank A. Chapman, Brian E. Myers

    Published 2010-08-01
    “…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, July 2010. …”
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    Article
  13. 2533

    Candidate Species for Florida Aquaculture: Gulf Killifish, Fundulus grandis by Shane W. Ramee, Joshua T. Patterson, Cortney L. Ohs, Matthew DiMaggio

    Published 2016-03-01
    “…DiMaggio, and published by the Program in Fisheries and Aquatic Sciences, School of Forest Resources and Conservation, January 2016. …”
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    Article
  14. 2534

    Teach Aquaculture Curriculum: Introduction by Cortney L. Ohs, R. Leroy Creswell, Amber L. Garr, Carlos V. Martinez, Brian E. Myers, Elisa J. Livengood, Craig S. Kasper, Frank A. Chapman

    Published 2010-08-01
    “…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, July 2010. …”
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    Article
  15. 2535

    Teach Aquaculture Curriculum: Chlorine--Friend or Foe? by Carlos V. Martinez, Cortney L. Ohs, Brian E. Myers, Elisa J. Livengood, Craig S. Kasper, Amber L. Garr, R. Leroy Creswell, Frank A. Chapman

    Published 2010-07-01
    “…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, May 2010. …”
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    Article
  16. 2536

    Teach Aquaculture Curriculum: Dancing with Brine Shrimp by Elisa J. Livengood, Cortney L. Ohs, Amber L. Garr, R. Leroy Creswell, Carlos V. Martinez, Craig S. Kasper, Brian E. Myers, Frank A. Chapman

    Published 2010-08-01
    “…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, July 2010. …”
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    Article
  17. 2537
  18. 2538

    PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

    Published 2022-11-01
    “…Some of the most commonly used machine learning algorithms for this issue are Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Decision Tree, and Random Forest. …”
    Get full text
    Article
  19. 2539

    Molluscan Shellfish Aquaculture and Production by Huiping Yang, Leslie N. Sturmer, Shirley Baker

    Published 2016-05-01
    “…Sturmer, and Shirley Baker, and published by the UF School of Forest, Fisheries, and Geomatics Sciences, January 2016. …”
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    Article
  20. 2540

    Teach Aquaculture Curriculum: Anatomy of a Fish by Amber L. Garr, Cortney L. Ohs, Craig S. Kasper, R. Leroy Creswell, Frank A. Chapman, Brian E. Myers, Elisa J. Livengood, Carlos V. Martinez

    Published 2010-08-01
    “…Published by the UF School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, July 2010. …”
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    Article