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  1. 561

    Time-Series Load Online Prediction of Wind Turbine Based on Adaptive Multisource Operational Data Fusion by Ruojin Wang, Xiaodong Wang, Deyi Fu, Bin Yang, Yingming Liu

    Published 2025-01-01
    “…Aiming at the problem that the stochastic change of wind turbine generator (WTG) working conditions and the complex nonlinear relationship between load and operation data make it difficult to predict the short-term load online, this paper proposes an adaptive multi-information source data fusion online prediction method for WTG load. Random forest (RF) and WaveNet time series (WTS) are established as subinformation source models, and the influence of input features and historical data on load prediction is considered from horizontal and vertical dimensions. …”
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  2. 562

    A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

    Published 2025-02-01
    “…The model employs classifiers such as Decision Tree Classifier, Random Forest Classifier (RFC), and gradient boosting techniques like XGBoost (XGBC) to enhance detection accuracy and efficiency. …”
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  3. 563

    Prediction of hemolytic peptides and their hemolytic concentration by Anand Singh Rathore, Nishant Kumar, Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

    Published 2025-02-01
    “…Among classification models, including machine learning (ML), quantum ML, and protein language models, a hybrid model combining random forest (RF) and a motif-based approach achieves the highest area under the receiver operating characteristic curve (AUROC) of 0.921. …”
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  4. 564

    FARMER-HERDERS CONFLICTS IN NIGERIA: ITS CHALLENGES AND INTERVENTIONS by M.O. Mazeli, Binta Side

    Published 2023-09-01
    “… Climate change has forced herders to move out of the desert to the forest, searching for a greener posture but not ethnic war. …”
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  5. 565

    Preventing Escape of Non-Native Species from Aquaculture Facilities in Florida, Part 4: Operational Strategies by Quenton M. Tuckett, Carlos V. Martinez, Jared L. Ritch, Katelyn M. Lawson, Jeffery E. Hill

    Published 2016-09-01
    “…Hill, and published by the School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences, August 2016. …”
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  6. 566

    Association between frailty and hospital-related adverse events in older hospitalised patients: a systematic literature review protocol by Jay Banerjee, Brad Manktelow, Abdullah Alshibani, Faris Alotaibi

    Published 2025-02-01
    “…If feasible, a meta-analysis will be conducted using the R statistical programme, and results will be visually presented using a forest plot. If there is high heterogeneity and a meta-analysis is not feasible, a narrative synthesis and analysis guided by Cochrane criteria will be conducted, and results will be presented in appropriate tables and figures.Ethics and dissemination No ethical approval will be obtained for this review since it will use secondary published data. …”
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  7. 567

    CLIMATE CHANGE AND LAND-BASED CONFLICT: THE IMPACT ON FOOD SECURITY IN NIGERIA by OGUIKE MIRIAM ADAEZE UJU

    Published 2022-05-01
    “…The aftermath of climate change is prominent on agricultural production such as livestock, crop, forest, fishery, nutrition, health and the general livelihood of the people. …”
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    Article
  8. 568

    Effect of Wood Chips and Wood Board-Ends of Gmelina arborea on Yields and Process of Slow Pyrolysis Using a Semi-Industrial Reactor Prototype by Jair Granados-Chacón, Roger Moya, Luis Pablo Valencia-González

    Published 2025-01-01
    “…Pyrolysis of biomass residues can generate savings in the value chains of forest products due to the potential uses of its products in the forestry sector. …”
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  9. 569

    Coastal moderation of Holocene fire and vegetation change on the Pacific coast of Canada by Maggie E. Duncan, Marlow G. Pellatt, Marlow G. Pellatt, Karen E. Kohfeld, Karen E. Kohfeld

    Published 2025-02-01
    “…Contrary to other sites, the coastal western hemlock forest at this site remained cool and moist with low fire activity throughout the xerothermic period. …”
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  10. 570

    Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

    Published 2024-09-01
    “…In addition to the baseline model, a gradient-boosted classification tree, naïve Bayes, and random forest model were created and compared using receiver operator characteristics, area under the curve, and accuracy. …”
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  11. 571

    Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

    Published 2024-05-01
    “…Using 972 datasets consisting of five emission sources and 27 air pollutants, different classification models were implemented and subsequently compared: Random Forest (RF), Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), Artificial Neural Network (ANN), and K-Nearest Neighbors (K-NN). …”
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  12. 572

    Prediction of inhibitory peptides against E.coli with desired MIC value by Nisha Bajiya, Nishant Kumar, Gajendra P. S. Raghava

    Published 2025-02-01
    “…Feature selection techniques, particularly mRMR, were utilized to refine our model inputs. Our Random Forest regressor built using default parameters achieved a correlation coefficient (R) of 0.78, R2 of 0.59, and RMSE of 0.53 on the validation set. …”
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  13. 573
  14. 574

    FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

    Published 2025-01-01
    “…Presented here is a new machine learning-based workflow for the analysis of microscopy images named FIRM (Feature Identification from Raw Microscopy) that uses a random forest classifier to identify ECM features of interest and generate binary segmentation masks for quantification with ImageJ-FIJI. …”
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  15. 575

    NATURAL RESOURCE ENDOWMENT AND ECONOMIC GROWTH: EVIDENCE FROM SOME SELECTED SUB-SAHARAN AFRICAN COUNTRIES by Felix Gbenga Olaifa, Ebenezar Adesoji Olubiyi, Oluwasegun Olawale Benjamin Benjamin, Philip Olugbenga Adebayo Adebayo

    Published 2024-01-01
    “…Data on economic growth, arable land, forest land rent, tertiary education enrolment, and labour force growth obtained from World Development Indictors of the World Bank were used. …”
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  16. 576

    Exploring microbial players for metagenomic profiling of carbon cycling bacteria in sundarban mangrove soils by Basanta Kumar Das, Ayushman Gadnayak, Hirak Jyoti Chakraborty, Smruti Priyambada Pradhan, Subhashree Subhasmita Raut, Sanjoy Kumar Das

    Published 2025-02-01
    “…Abstract The Sundarbans, the world’s largest tidal mangrove forest, acts as a crucial ecosystem for production, conservation, and the cycling of carbon and nitrogen. …”
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  17. 577

    Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability by Mahmoud AlJamal, Rabee Alquran, Ayoub Alsarhan, Mohammad Aljaidi, Wafa’ Q. Al-Jamal, Ali Fayez Alkoradees

    Published 2025-02-01
    “…Our methodology achieved a remarkable accuracy of 99.9% using a Random Forest classifier, showcasing the efficacy of this optimized hybrid approach. …”
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  18. 578
  19. 579

    Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

    Published 2025-01-01
    “…For the classification task, we consider some of the well-known learning algorithms including long short-term memory (LSTM), random forest, K-nearest neighbor, support vector machine and bagging tree techniques. …”
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  20. 580

    Tilapia Lake Virus (TiLV): a Globally Emerging Threat to Tilapia Aquaculture by Lowia Al-Hussinee, Kuttichantran Subramaniam, Win Surachetpong, Vsevolod Popov, Kathleen Hartman, Katharine Starzel, Roy Yanong, Craig Watson, Hugh Ferguson, Salvatore Frasca Jr, Thomas Waltzek

    Published 2019-04-01
    “…., and Thomas Waltzek and published by the UF/IFAS School of Forest Resources and Conservation, Program in Fisheries and Aquatic Sciences describes this important emerging disease and explains how to prevent outbreaks and what to do if you suspect TiLV in an aquaculture facility or in the wild.  …”
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