Spilt Tensile Strength of Fiber-Reinforced Recycled Aggregate Concrete Simulation Employing Tunned Random Forests Trees by Xiao Chen, Chen Xi, Min Xiao, Lang Wu

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Outcome analysis and decision tree in the management of obliterated non-traumatic anterior urethral strictures: a case series by RAJIV KORE

“…Seven management categories and their management decision tree are described. The average follow-up was 34 months (IQR 12–58). …”
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Development and validation of a decision tree model for prediction of insomnia risk among ischemic stroke convalescence patients by Xuefeng Sun, Zilin Wang, Yuqing Song, Deyu Cong, Shu Sun, Xinye Zhang, Ye Zhang, Hongshi Zhang

“…Objectives To construct a decision tree model for insomnia risk among ISC patients based on the classification and regression tree algorithm. …”
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Exploring the Possibilities of Implementing the ALS-Based 3-30-300 Concept for Urban Green Space Management in Small Municipalities by Krzysztof Mitelsztedt, Mariusz Ciesielski, Tomasz Hycza, Marek Lisańczuk, Kacper Guderski, Sylwia Kurpiewska, Krzysztof Korzeniewski

“…The method proposed in this study shows that the tree visibility component of the 3-30-300 concept is the most fluctuating index, and it strongly depends on the settings of the algorithm parameter, as well as on the placement of artificially generated observers. …”
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Securing fruit trees future: AI-driven early warning and predictive systems for abiotic stress in changing climate by Muhammad Ahtasham Mushtaq, Muhammad Ateeq, Muhammad Ikram, Shariq Mahmood Alam, Muhammad Mohsin Kaleem, Muhammad Atiq Ashraf, Muhammad Asim, Khalid F. Almutairi, Mahmoud F. Seleiman, Fareeha Shireen

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

“…The study found that the SVM algorithm had the best prediction results after parameter adjustment, with a 96% accuracy rate. …”
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Efficient Path Planning in Multi-Agent Environment of AAVs With Payloads by Annapurna Jonnalagadda, Yuva Sai Verma, M. V. Bharat, E. Z. Ushus

“…The proposed framework integrates a Constrained A* (CA*) algorithm for path planning, a Constraint Tree (CT), and a Conflict Avoidance Table (CAT) for resolving conflicts. …”
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Aerospace Equipment Fault Diagnosis Method Based on Fuzzy Fault Tree Analysis and Interpretable Interval Belief Rule Base by Mingxian Long, Hailong Zhu, Guangling Zhang, Wei He

“…A fault diagnosis system needs to establish clear causal relationships and provide interpretable determination results. …”
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Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates by Ahmed Maged, Aly Abdelalim, Abdelaziz Farouk A. Mohamed

“…Secondly, a generative design tool with a Dynamo evolutionary algorithm is utilized to optimize the tree distribution across the communal areas of these three spaces considering the current built environment. …”
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Advances in the Automated Identification of Individual Tree Species: A Systematic Review of Drone- and AI-Based Methods in Forest Environments by Ricardo Abreu-Dias, Juan M. Santos-Gago, Fernando Martín-Rodríguez, Luis M. Álvarez-Sabucedo

“…Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, peer review studies from the last decade were analyzed to identify trends in data acquisition instruments (e.g., RGB, multispectral, hyperspectral, LiDAR), preprocessing techniques, segmentation approaches, and machine learning (ML) algorithms used for classification. Findings of this study reveal that deep learning (DL) models, particularly convolutional neural networks (CNN), are increasingly replacing traditional ML methods such as random forest (RF) or support vector machines (SVMs) because there is no need for a feature extraction phase, as this is implicit in the DL models. …”
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Comparing the potential of tree-based and area-based forest height metrics for aboveground biomass estimation in complex forest landscapes by Weiyan Liu, Yuling Chen, Haitao Yang, Guangcai Xu, Shiyu Yan, Lingjun Li, Ling Chen, Qinghua Guo

“…The results indicate the following: (1) Tree-based metrics that align more closely with forestry definitions demonstrate higher predictive accuracy than area-based metrics, particularly Lorey’s mean height and top height. (2) Among machine learning models, CatBoost, which incorporates Lorey’s mean height, achieve the highest accuracy (R2 = 0.688, relative RMSE = 41.85 %, MAE = 18.15 Mg/ha). (3) While area-based metrics are widely used in large-scale assessments due to their scalability, our results underscore the superior precision of tree-based metrics in AGB estimations, showing an 11.0 % to 23.1 % improvement of R2 over the area-based metrics. (4) Regional variations across Beijing further highlight the need to tailor metric selection to specific landscape and modeling objectives. …”
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Examining the Efficiency of Learning-Based Algorithms in the Process of Declaring Customs by Mustafa Günerkan, Ender Şahinaslan, Önder Şahınaslan

“…According to the performance measurement results, the maximum result was achieved in the Decision Tree (75.69%) and Bagging (75.70%) algorithms with respect to the Train-test split method at a test rate of 25%. …”
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Correlation-Based Task Scheduling Algorithm in Wireless Sensor Network by Fangfang Yan, Yue Shi, Wei Wei

“…There are some shortages of static scheduling algorithm（SCP）while scheduling tasks in wireless sensor network.A scheduling clustered tree was proposed，and a new clustering algorithm（ICS）based on task duplication was put forward. …”
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Correlation-Based Task Scheduling Algorithm in Wireless Sensor Network by Fangfang Yan, Yue Shi, Wei Wei

“…There are some shortages of static scheduling algorithm（SCP）while scheduling tasks in wireless sensor network.A scheduling clustered tree was proposed，and a new clustering algorithm（ICS）based on task duplication was put forward. …”
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Radio Mean Labeling Algorithm, Its Complexity and Existence Results by Meera Saraswathi, K. N. Meera, Yuqing Lin

“…This is approached by introducing a special type of tree whose construction is detailed in the article. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…All input datasets (as input factors for machine learning algorithms) were co-registered to match the resolution of the InSAR-derived maps (100 meters).Machine learning algorithms: Three machine learning algorithms including decision tree (DT), random forest (RF) and extreme gradient boosting (XGBoost) were tested. …”
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Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding by Lina Si, Wendi Zhu, Qiuwen Zhang

“…Compared with the High Efficiency Video Coding (HEVC/H.265), owing to the introduction of the Quad-tree with Nested Multi-type Tree (QTMT) division mode, the encoder can choose a more detailed division type when dividing the Coding unit (CU), thereby improving the coding performance. …”
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A Multicast Algorithm for Wireless Sensor Networks Based on Network Coding by Zhi-jie Han, Ru-chuan Wang, Fu Xiao

“…We depart from the traditional wisdom that the multicast topology from source to receivers needs to be a tree and propose a novel and distributed algorithm to construct a 2-redundant multicast graph (a directed acyclic graph) as the multicast topology, on which network coding is applied. …”
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Comparative Analysis of Supervised Machine Learning Algorithms for COVID-19 Prediction by Rubina Shaheen, Beenish Akram, Amna Zafar, Talha Waheed

“…Given the nature of the disease, it is needed to mitigate the effects of spread by resorting to technological advancements for diagnosis of the disorder using machine learning algorithms. …”
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Big Data Analysis of Lung Cancer Dataset Using Classification by Tannady Hendy, Fernandes Andry Johanes, Susanto William, Tannady Tan Henny, Bin Rakiman Umol Syamsyul

“…Result or finding from the study show that RapidMiner’s decision tree algorithm achieved an impressively high level of accuracy, with a Kappa score of 74.32%. …”
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