Results 41 to 50 of about 236,305 (167)

DPRF: A Differential Privacy Protection Random Forest

IEEE Access, 2019
Providing privacy protection for classification algorithms has become a research hotspot in current data mining. In this paper, differential privacy is applied to the random forest classification algorithm, and a random forest algorithm based on ...
Jun Hou, Qianmu Li, Shunmei Meng, Zhen Ni, Yini Chen, Yaozong Liu   +5 more
doaj   +1 more source

Multilevel Nonlinear Mixed-Effect Crown Ratio Models for Individual Trees of Mongolian Oak (Quercus mongolica) in Northeast China. [PDF]

PLoS ONE, 2015
In this study, an individual tree crown ratio (CR) model was developed with a data set from a total of 3134 Mongolian oak (Quercus mongolica) trees within 112 sample plots allocated in Wangqing Forest Bureau of northeast China.
Liyong Fu, Huiru Zhang, Jun Lu, Hao Zang, Minghua Lou, Guangxing Wang   +5 more
doaj   +1 more source

Konsep Decision Tree Reptree untuk Melakukan Optimasi Rule dalam Fuzzy Inference System Tsukamoto

Jurnal Teknologi Informasi dan Ilmu Komputer, 2022
Penelitian ini menjelaskan tentang decision tree REPTree dalam membuat suatu rule yang terbentuk dari produksi minyak kelapa sawit di PT Tapiana Nadenggan, yang dipengaruhi oleh faktor banyaknya kelapa sawit, permintaan yang ada, serta persediaan yang ...
Tundo Tundo, Shofwatul 'Uyun
doaj   +1 more source

Growth and structure of a young Aleppo pine planted forest after thinning for diversification and wildfire prevention

Forest Systems, 2013
Aim of study: In the Mediterranean, low timber-production forests are frequently thinned to promote biodiversity and reduce wildfire risk, but few studies in the region have addressed such goals.
J. Ruiz-Mirazo, J. L. Gonzalez-Rebollar
doaj   +1 more source

Effect of Hyperparameter Tuning Using Random Search on Tree-Based Classification Algorithm for Software Defect Prediction

IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
The field of information technology requires software, which has significant issues. Quality and reliability improvement needs damage prediction. Tree-based algorithms like Random Forest, Deep Forest, and Decision Tree offer potential in this domain ...
Muhammad Hevny Rizky, Mohammad Reza Faisal, Irwan Budiman, Dwi Kartini, Friska Abadi   +4 more
doaj   +1 more source

Tensile strength prediction in monel 400 weldments using classification and regression algorithms in machine learning

Materials Research Express
Selecting the most effective welding settings impacts mechanical strength and weld quality, with parameters like current, voltage, and speed playing pivotal roles.
Parrthipan Balasubramaniyan Karthekeyan, Narayanasamy Pandiarajan, Ramya Ranjit, Pratheesh Krishnankutty, Mohammed Raffic Noor Mohamed, Balasundar Pandiarajan   +5 more
doaj   +1 more source

Foot Strike Angle Prediction and Pattern Classification Using LoadsolTM Wearable Sensors: A Comparison of Machine Learning Techniques

Sensors, 2020
The foot strike pattern performed during running is an important variable for runners, performance practitioners, and industry specialists. Versatile, wearable sensors may provide foot strike information while encouraging the collection of diverse ...
Stephanie R. Moore, Christina Kranzinger, Julian Fritz, Thomas Stӧggl, Josef Krӧll, Hermann Schwameder   +5 more
doaj   +1 more source

Prediction and Classification of Patients Length of Stay in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern Nigeria

Journal of Applied Sciences and Environmental Management, 2023
The objective of this paper was to predict and classify the attributes that influences patients Length of Stay (LOS) in a Medical Hospital in Birnin Kebbi, Kebbi State, Northwestern Nigeria using tree-based machine learning algorithms after data ...
S. Suleiman, U. Usman, A. Bello, M. I. Bunza   +3 more
doaj  

Optimal rapidly-exploring random tree via discrete hierarchical exploration

Journal of King Saud University: Computer and Information Sciences
To address the trade-off between timeliness and optimality in complex-environment path planning, this work proposes DHE-RRT*, an enhanced Rapidly-Exploring Random Tree algorithm with discrete hierarchical exploration.
Zeng Zhaoyang, Hu Bowen, Chang Yufang
doaj   +1 more source

Research on a Mixed Gas Classification Algorithm Based on Extreme Random Tree

Applied Sciences, 2019
Because of the low accuracy of the current machine olfactory algorithms in detecting two mixed gases, this study proposes a hybrid gas detection algorithm based on an extreme random tree to greatly improve the classification accuracy and time efficiency.
Yonghui Xu, Xi Zhao, Yinsheng Chen, Zixuan Yang   +3 more
doaj   +1 more source