Utilisation des sécrétions de myriapodes chez les lémurs et les sapajous : fonction curative ou signalisation sociale ? by Bruno Simmen, Laurent Tarnaud

“…Opportunistic data were collected in a prosimian species (a hybrid form of Eulemur sp.) in a gallery forest South of Madagascar (occurrences in January 2005) and in capuchin monkeys (Cebus apella) in a tropical rainforest in French Guyana (occurrences in March-April 1996). …”
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Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation by Darwin Li

“…With a reliable model in hand, our study utilized machine learning techniques, particularly the Random Forest algorithm, to navigate through a vast dataset of phytochemicals. …”
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Chronic vs. Short-Term Acute O3 Exposure Effects on Nocturnal Transpiration in Two Californian Oaks by N. E. Grulke, E. Paoletti, R. L. Heath

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Agricultural Technology for Phytophage and Phytopathogen Resistant Planting Material by Evgenia A. Dyukova, Ekaterina G. Ulyanova, Maria A. Osintseva, Victoria A. Kryuk

“…The technology was able to improve the survival rate of pine seedlings in forest container nurseries in the harsh climate of West Siberia.…”
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A Data-Driven Review of the Financial Performance and Environmental Compliance of Shariah-Compliant Businesses by Hassan Syed, Rahmi Deniz Özbay, Klemens Katterbauer, Sema Yılmaz Genç

“…The deep learning system uses an unsupervised-random forest learning method to classify environmental compliance while also measuring these firms' financial performance. …”
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Metasurface-enabled multifunctional single-frequency sensors without external power by Masaya Tashiro, Kosuke Ide, Kosei Asano, Satoshi Ishii, Yuta Sugiura, Akira Uchiyama, Hiroki Wakatsuchi

“…Moreover, we provide a method for predicting physical parameters via the machine learning-based approach of random forest regression. The sensing performance was confirmed by estimating the temperature and light intensity, and excellent determination coefficients larger than 0.96 were achieved. …”
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Robust fault detection and classification in power transmission lines via ensemble machine learning models by Tahir Anwar, Chaoxu Mu, Muhammad Zain Yousaf, Wajid Khan, Saqib Khalid, Ahmad O. Hourani, Ievgen Zaitsev

“…Leveraging a comprehensive dataset of diverse fault scenarios, various machine learning algorithms—including Random Forest (RF), K-Nearest Neighbors (KNN), and Long Short-Term Memory (LSTM) networks—are evaluated. …”
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REDISCOVERY OF CAMELLIA TONKINENSIS (PIT.) COHEN-STUART (THEACEAE) ON MT. BA VI, HANOI, VIETNAM by Anh Vinh Le, Hieu Nguyen, Thanh Son Hoang, Anthony S. Curry

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Leveraging Radiomics and Genetic Algorithms to Improve Lung Infection Diagnosis in X-Ray Images Using Machine Learning by A. Beena Godbin, S. Graceline Jasmine

“…The proposed model attains a remarkable 94% AUC (Area Under the Curve) when employing the Random Forest algorithm. Furthermore, the study systematically evaluates the execution time taken by each TPOT model. …”
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Forecasting power generation of wind turbine with real-time data using machine learning algorithms by Asiye Bilgili, Kerem Gül

“…We utilized Decision Tree, Random Forest, K-Nearest Neighbors (KNN), and XGBoost algorithms to estimate power generation. …”
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Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data by Sahana Srikanth, Sanjeev Gurugopinath, Sami Muhaidat

“…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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Cellular senescence-associated genes in rheumatoid arthritis: Identification and functional analysis. by You Ao, Qing Lan, Tianhua Yu, Zhichao Wang, Jing Zhang

“…We then pinpointed three key genes (DHX9, CYR61, and ITGB) using random forest and LASSO Cox regression machine learning techniques. …”
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Fault Identification of UHVDC Transmission Based on DF-AD and Ensemble Learning by Qingsheng Zhao, Xinyu Yang, Xiaoqing Han, Dingkang Liang, Xuping Wang

“…Next, the entropy features of these signals were computed, and the Random Forest-Recursive feature elimination with cross-validation (RF-RFECV) algorithm was used to select a high-quality feature subset. …”
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Breast Cancer Detection Using Ensemble Classifiers for Accuracy Improvement by Mahboubeh Shamsi, Mohadaseh Karimian, Marziyeh Karimian

“…Our proposed model in the WBC database (reducing features by cfs+ optimizing samples using Resample+ ensemble classifier using data mining algorithms (kstar + random forest + Naïve Bayes and Bayes network)) has the best detection accuracy ( 100%), implementation time (0 seconds) and without any errors and on the WDBC database (reducing features by cfs+ optimizing samples using Resample+ ensemble classifier using data mining algorithms (IBK algorithm+ Naïve Bayes, Bayes network and kstar)) has an accuracy of 99/29, the implementation time is 0 seconds, and the mean absolute error is 0/007. …”
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Enhanced framework for ensemble effort estimation by using recursive‐based classification by Azath Hussain, Maheswari Raja, Pandimurugan Vellaisamy, Sangeetha Krishnan, Lakshminarayanan Rajendran

“…From the selected features, an enhanced random forest classification is used to classify the results. …”
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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

“…Fourth predictive systems are employed to investigate the intricate problem of predicting the severity of injuries sustained in traffic crashes using different regression algorithms, such as Random Forest, Decision Trees, XGBoost, and Artificial Neural Networks. …”
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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

“…., 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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Mechanisms of co-presence in repetitive drama studio performances by Željka Flegar, Grozdana Lajić Horvat

“…This paper presents the examples from the Zagreb Youth Theatre (ZKM) Drama Studio's final production "A Bunch of Forest Fairies" (June 2023) which contains elements of Impro, process drama (uncharacteristically performed on stage), inside and outside mentoring (super mentoring), and fairy tale elements that are transformed in a new socio-cultural context. …”
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TRANSFORMATION OF PREHISTORIC TO HISTORIC LANDSCAPE: THE EXAMPLE OF CIVITAS LOPSICA by Vedrana Glavaš, Miroslav Glavičić

“…The mountain provided great conditions for cattle breeding and the exploitation of forest resources, from which locals could have had significant benefits. …”
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Effects of Land Slides in Muko Sub-County Rubanda District. by Akampwera, Grania

“…From the research, objective three was found to be the control measures of landslides as they include; forestation, Land use practices, Government policy, Community participation, Resettlements, and Community mobilization.…”
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