Results 61 to 70 of about 236,305 (167)

Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression

, 2023
P.J. Garcı́a Nieto, Esperanza García–Gonzalo, Luis Alfonso Menéndez García, Laura Álvarez de Prado, Antonio Bernardo-Sánchez   +4 more
openalex   +2 more sources

Markov approximation of arbitrary random field on homogeneous trees [PDF]

, 2012
Weicai Peng, Weiguo Yang, Peishu Chen
openalex   +1 more source

The Tensor Track VI: Field Theory on Random Trees and SYK on Random Unicyclic Graphs [PDF]

, 2020
Nicolas Delporte, Vincent Rivasseau
openalex   +1 more source

Random Turán theorem for expansions of spanning subgraphs of tight trees [PDF]

, 2023
Jiaxi Nie
openalex   +1 more source

Klasifikasi Indeks Kedalaman Kemiskinan Provinsi Sulawesi Selatan Berbasis Decision Tree, K-Nearest Neighbor, Naive Bayes, Neural Network, dan Random Forest

, 2023
Deleted Author ID, Fatchul Arifin
openalex   +2 more sources

Efficient path planning for autonomous vehicles based on RRT* with variable probability strategy and artificial potential field approach

Scientific Reports
With the rapid development of autonomous driving technology, path planning has gained significant attention as it holds great potential for improving safety.
Fazhan Tao, Zhaowei Ding, Zhigao Fu, Mengyang Li, Baofeng Ji   +4 more
doaj   +1 more source

Random walks on Galton–Watson trees with random conductances [PDF]

, 2012
Nina Gantert, Sebastian Müller, Serguei Popov, Marina Vachkovskaia   +3 more
openalex   +1 more source

Improved rapidly exploring random tree using salp swarm algorithm

Journal of Intelligent Systems
Due to the limitations of the initial rapidly exploring random tree (RRT) algorithm, robotics faces challenges in path planning. This study proposes the integration of the metaheuristic salp swarm algorithm (SSA) to enhance the RRT algorithm, resulting ...
Muhsen Dena Kadhim, Raheem Firas Abdulrazzaq, Sadiq Ahmed T.   +2 more
doaj   +1 more source

Predicted Mapping of Seabed Sediments Based on MBES Backscatter and Bathymetric Data: A Case Study in Joseph Bonaparte Gulf, Australia, Using Random Forest Decision Tree [PDF]

, 2021
Wei Xu, Heqin Cheng, Shuwei Zheng, Hao Hu   +3 more
openalex   +1 more source

Parking on a Random Tree [PDF]

, 2008
Herold Dehling, Sjoert Fleurke, Christof Külske   +2 more
openalex   +1 more source