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421
Comparative Analysis of Adam’s Repentance According to Islam and Judaism Perspectives
Published 2024-11-01“…The Quran and Torah mention the story of Adam and Eve eating the forbidden tree. Some Islamic scholars criticise the text of the Torah that exists today for the narrative style that portrays it as if Adam never repented of the act. …”
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422
Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis
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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423
Project Design Implementation and Sustainability of Donor Funded Potato Projects in Kabale District South Western Uganda
Published 2022“…Conclusion and recommendations: Participatoryproject stakeholder mapping, involving the setting up of problem and objective tree analysis, as well as project logical framework allows beneficiaries the beneficiaries to own the potato projects and hence the sustainability of donor-funded potato projects in Kabale District. …”
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424
Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model
Published 2025-03-01“…This novel method effectively samples pixel data and analyzes fogging phases related to stroke lesions by utilizing a Deep Luxe Gauging Tree. Existing methods struggle with flexibility in varying conditions; thus, the Trans-Lucent-Rich Reprise Pattern recognition algorithm for precise identification of infected areas is introduced. …”
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425
Cost Analysis of the Use of Voriconazole, Posaconazole and Micafungin in the Primary Prophylaxis of Invasive Fungal Infections in Recipients of Allogeneic Hematopoietic Stem Cell T...
Published 2015-10-01“…**Methods:** A cost analysis was made for 100 days and 180 days of prophylaxis and a decision tree model was developed. The efficacy rate of IFI prophylaxis and survival rate with liposomal amphotericin B treatment of prophylaxis failures were obtained from randomized trials and a meta-analysis of mixed treatment comparisons. …”
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426
Hybridization potential and genetic influence of parental varieties on fruit size and set rate in Gleditsia sinensis
Published 2025-02-01“…Abstract Gleditsia sinensis is a dioecious perennial tree, with its fruit size directly impacting its economic value. …”
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427
REFINED ESTIMATES OF DIRECT PYROGENIC CARBON EMISSIONS IN RUSSIAN FORESTS BASED ON REMOTE MONITORING DATA FROM 2011 TO 2023
Published 2024-12-01“…The main differences from the estimates in previous our publications are the use of a new version of annually updated products of pre-fire forest combustible fuels (FCF), which include new data on the reserves of FCF in the upper tree canopy, undergrowth, living ground vegetation cover and wood debris. …”
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428
Predicting the heat capacity of strontium-praseodymium oxysilicate SrPr4(SiO4)3O using machine learning, deep learning, and hybrid models
Published 2025-03-01“…In this study, the capability of five advanced machine learning models, including Random Forest (RF), Gradient Boosting (GBoost), Extreme Gradient Boosting (XGBoost), Categorical Boosting (CatBoost), and Decision Tree (DT) models, and three deep learning models, TabNet, Deep Belief Network (DBN), and Deep Neural Network (DNN) was investigated. …”
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429
REVISIT OF BAKASI PENISULA NIGERIA CAMEROUN RESOURCE CONFLICT
Published 2023-12-01“…The study is concluded by recommending among others, that there is the need for inclusiveness of stakeholders in the border dispute resolutions befores the intervention of the international community following the judgment of ICJ as the terms of the Green Tree Agreement, and the need for the setting up of a joint commission for exploration of hydrocarbon in the cross-border areas, be carefully managed to douse the violent, and which will also create a platform for win win solution from both countries. …”
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430
Copula-Driven Learning Techniques for Physical Layer Authentication Using Multimodal Data
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. Moreover, we study the effect of correlation introduced across the attributes, and compare it with the case with no correlation among the attributes. …”
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431
Bamboo Growing and Poverty Reduction in Musanze and Burera Districts, Rwanda.
Published 2020“…It is therefore recommended that bamboo growing in Musanze and Burera district should be given priority compared to other tree varieties in the district planning and budgeting processes. …”
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432
Forecasting Dissolved Organic Carbon Levels Utilizing Metaheuristic Optimization with Artificial Intelligence Techniques
Published 2024-12-01“…Specifically, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Multilayer Perceptron (MLP), Radial Basis Function (RBF), Decision Tree (DT), and Support Vector Regression (SVR) algorithms were employed. …”
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433
Estimating the Torsional Capacity of Reinforced Concrete Beams Using ANFIS Models
Published 2024-09-01“…This work evaluates and determines the most effective tree-based machine learning algorithms to estimate the torsional capacity (𝑇𝑟) of 𝑅𝐶 beams subjected to pure torsion. …”
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434
Triple (and quadruple) soft-gluon radiation in QCD hard scattering
Published 2020-01-01“…In the soft limit the corresponding scattering amplitude has a singular behaviour that is factorized and controlled by a colorful soft current. We compute the tree-level current for triple soft-gluon emission from both massless and massive hard partons. …”
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435
Determination of 5-fluorouracil anticancer drug solubility in supercritical CO 2 using semi-empirical and machine learning models
Published 2025-02-01“…Three models with different approaches were applied to correlate and model the experimental data set: (i) seven density-based models, (ii) PR equations of state (vdW2 mixing rule), and (iii) machine learning-based models, namely non-linear regressions, Random Forest, Gradient Boosting, Decision Tree, and Kernel Ridge. All tested models successfully correlate and model the solubility data within an acceptable accuracy. …”
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436
Deteksi Cyberbullying dengan Mesin Pembelajaran Klasifikasi (Supervised Learning): Peluang dan Tantangan
Published 2022-12-01“…Implementasi Machine Learning untuk deteksi cyberbullying dapat dilakukan dengan berbagai algoritma, seperti algoritma probabilistik (Naïve Bayes) maupun supervised learning (Support Vector Machine, k-Nearest Neighbour, Decission Tree), dan metode lainnya yang hingga saat ini terus dikembangkan dengan berbagai pendekatan untuk meningkatkan akurasi deteksi cyberbullying atau non-cyberbullying. …”
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437
Analgesic and Anti-inflammatory Activities of the Stem Bark of Yellow Flamboyant (<i>Peltophorum pterocarpum</i>)
Published 2019-08-01“…Different parts of this tree are being used for the management of many diseases. …”
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438
A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning
Published 2024-10-01“…Among these algorithms, the Two-Class Boosted Decision Tree method demonstrated outstanding prediction ability, achieving a 100% accuracy rating. …”
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439
Coexistence of spiders in floodplain forests as an indicator of ecological stability and landscape sustainability in the inland Danube Delta
Published 2025-02-01“…Environmental conditions, i.e. groundwater level, flood regime, vegetation and tree shading, were defined as the main factors. The presence or absence of flooding and the depth of the water table had a significant effect on spider community structure. …”
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440
A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function
Published 2022-11-01“…Finally, we evaluate our proposed method against some of the most popular ML methods, including a k-nearest neighbor, support vector machine, random forest, decision tree, logistic regression, and extreme gradient boosting (Xgboost). …”
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