The Application of Tree-Based Algorithms on Classifying Shunting Yard Departure Status by Niloofar Minbashi, Markus Bohlin, Carl-William Palmqvist, Behzad Kordnejad

“…Although the preliminary results presented in this paper are encouraging, future studies are needed to investigate the computational performance of tree-based algorithms using larger datasets and considering additional predictors.…”
Get full text

The Evaluation of Online Education Course Performance Using Decision Tree Mining Algorithm by Yongxian Yang

“…Firstly, this paper collects the high-dimensional behavioral characteristic data of students’ online learning and conducts correlation analysis after preprocessing the behavioral characteristic data. Then, the decision tree C4.5 algorithm is used to construct a performance evaluation model. …”
Get full text

Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective by Enoch Sakyi-Yeboah, Edmund Fosu Agyemang, Vincent Agbenyeavu, Akua Osei-Nkwantabisa, Priscilla Kissi-Appiah, Lateef Moshood, Lawrence Agbota, Ezekiel N. N. Nortey

“…Therefore, early prediction and detection are critical, leading to timely and appropriate interventions at early stages. Four ensemble tree-based algorithms were used in this study: adaptive boosting, extreme gradient boosting, random forest, and extremely randomized trees, investigating their ability to predict heart disease. …”
Get full text

EFH:an online unsupervised hash learning algorithm by Zhenyu SHOU, Jiangbo QIAN, Yihong DONG, Huahui CHEN

“…Many unsupervised learning to hash algorithm needs to load all data to memory in the training phase,which will occupy a large memory space and cannot be applied to streaming data.An unsupervised online learning to hash algorithm called evolutionary forest hash (EFH) was proposed.In a large-scale data retrieval scenario,the improved evolution tree can be used to learn the spatial topology of the data.A path coding strategy was proposed to map leaf nodes to similarity-preserved binary code.To further improve the querying performance,ensemble learning was combined,and an online evolving forest hashing method was proposed based on the evolving trees.Finally,the feasibility of this method was proved by experiments on two widely used data sets.…”
Get full text

Fake News Detection Model Basing on Machine Learning Algorithms by Mohammed A. Taha, Haider D. A. Jabar, Widad K. Mohammed

“…Finally, the Logistic Regression, Decision Tree, Gradient Boosting and Random Forest algorithm has been adapted. …”
Get full text

LSM tree read-deletion operations optimization through the implementation of cuckoo filters by Humberto Cesar Villalta Valverde, KwangSik Kim, Kisu Kim, Jinman Kwon, Jaechoon Lim, Yongjoo Jun

“…Cuckoo filters are a perfect choice for saving space and also for deleting keys that are not needed in the algorithm so the filters are synchronized with the keys of all the SSTables. …”
Get full text

A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…However, traditional video compression and encoding methods are often complex and time-consuming, which can hinder the real-time performance needed for effective surveillance systems. To address this challenge, we propose a novel fast coding algorithm optimized for video surveillance applications. …”
Get full text

Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…In this paper, we propose a novel structural formation of the oblique decision tree (OBT) using a swarm intelligence technique, namely, the Binary Bat Swarm Algorithm (BBSA). …”
Get full text

Mapping previously undetected trees reveals overlooked changes in pan-tropical tree cover by Shidong Liu, Jie Zhang, Li Wang, Philippe Ciais, Jianjun Zhang, Josep Penuelas, Biswajit Nath, Iskid Jacquet, Xia Wu, Shengping Ding, Wang Li, Ni Huang, Wanjuan Song, WenJian Ni, Zheng Niu

“…Here we develop an automatic detection algorithm using high-resolution satellite data (<5 m) to map pan-tropical tree cover (2015–2022), enabling identification and change analysis for previously undetected tree cover (PUTC). …”
Get full text

Comparative Study of Random Forest and Gradient Boosting Algorithms to Predict Airfoil Self-Noise by Shantaram B. Nadkarni, G. S. Vijay, Raghavendra C. Kamath

“…The results show that the Extremely Randomized Trees algorithm exhibits the most superior performance with the highest Coefficient of Determination.…”
Get full text

Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

“…To further validate the effectiveness of RSM, the results are compared with the performance of several advance machine learning algorithms, including linear regression, decision tree, and random forest. …”
Get full text

Domain adaptation of deep neural networks for tree part segmentation using synthetic forest trees by Mitch Bryson, Ahalya Ravendran, Celine Mercier, Tancred Frickey, Sadeepa Jayathunga, Grant Pearse, Robin J.L. Hartley

“…This paper explores using synthetic data of realistic forest trees to train deep learning models for tree part segmentation from real forest LiDAR data. …”
Get full text

Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease by Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Ervin Gubin Moung

“…Traditional diagnostic approaches can be invasive, costly, and time-consuming, necessitating the need for more efficient alternatives. This aimed to optimize the Light Gradient-Boosting Machine (LightGBM) algorithm to enhance its performance and accuracy in the early detection of CHD, providing a reliable, cost-effective, and non-invasive diagnostic tool. …”
Get full text

Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets by Madhavan K R, Hasan Kurban, Oguzhan M. Kulekci, Mehmet M. Dalkilic

“…Although space partitioning data structures, especially k-d trees and ball-trees, have improved performance in larger data, they remain inadequate when data is also high-dimensional. …”
Get full text

Business Optimization of Financial Centers in Pharmaceutical Enterprises Based on Robotic Process Automation Technology by Yali Wang, Weiwei Zhou, Yingji Li, Jingqi Sun

“…The test results showed that the decision tree algorithm accurately classified different types of samples into the correct category when distinguishing them. …”
Get full text

3D Deployment Optimization of Wireless Sensor Networks for Heterogeneous Functional Nodes by Zean Lu, Chengqun Wang, Peng Wang, Weiqiang Xu

“…Simulation results demonstrate that ISBOA exhibits a faster convergence speed and higher accuracy in both the 23 benchmark functions and the newly designed multi-objective optimization problem, significantly overcoming the shortcomings of the compared algorithms. Finally, for large-scale optimization problems, a minimum spanning tree domain reduction strategy is proposed, which significantly improves solving efficiency with a moderate sacrifice in accuracy.…”
Get full text

TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds by Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker

“…Laser-scanned point clouds of forests make it possible to extract valuable information for forest management. To consider single trees, a forest point cloud needs to be segmented into individual tree point clouds. …”
Get full text

Automated irrigation of apple trees based on dendrometer sensors by Thainná Waldburger, Thomas Anken, Marianne Cockburn, Achim Walter, Matthias Hatt, Camilo Chiang, Hassan-Roland Nasser

Get full text

Phyloreferences: Tree-Native, Reproducible, and Machine-Interpretable Taxon Concepts by Hilmar Lapp, Nico Cellinese, Stijn Conix

“…We propose a set of requirements that a system for defining such taxa should meet for computational data science: taxon definitions should maintain conceptual consistency, be reproducible via a known algorithm, be computationally automatable, and be applicable across the Tree of Life. …”
Get full text

Strategic Decisions in Corporate Travel: Optimization Through Decision Trees by Jose-Mario Zarate-Carbajal, Riemann Ruiz-Cruz, Juan Diego Sánchez-Torres

“…This study proposes a modified regression decision tree machine learning algorithm to incorporate the unique features of corporate travel policies. …”
Get full text