Results 11 to 20 of about 236,305 (167)

Prediction of Employee Attendance Factors Using C4.5 Algorithm, Random Tree, Random Forest

open access: greenSemesta Teknika, 2020
Research on the performance of workers based on the determination of standard working hours for absences conducted by workers in a certain period.
Riza Fahlapi   +5 more
openalex   +3 more sources

Comparative Analysis of Estimating Monthly Reference Evapotranspiration Using Kernel and Tree-Based Data Mining Models Versus Empirical Methods [PDF]

open access: yesمحیط زیست و مهندسی آب, 2022
Because direct measurement of evapotranspiration is costly and time-consuming, researchers have turned to the estimation of evapotranspiration via indirect approaches.
Sahar Javidan   +2 more
doaj   +1 more source

Recent advances in Rapidly-exploring random tree: A review. [PDF]

open access: yesHeliyon
Path planning is an crucial research area in robotics. Compared to other path planning algorithms, the Rapidly-exploring Random Tree (RRT) algorithm possesses both search and random sampling properties, and thus has more potential to generate high ...
Xu T.
europepmc   +2 more sources

Probabilistic analysis of vantage point trees

open access: yesModern Stochastics: Theory and Applications, 2021
Probabilistic properties of vantage point trees are studied. A vp-tree built from a sequence of independent identically distributed points in ${[-1,\hspace{0.1667em}1]^{d}}$ with the ${\ell _{\infty }}$-distance function is considered.
Vladyslav Bohun
doaj   +1 more source

Prediction of Manning's coefficient of roughness for high-gradient streams using M5P

open access: yesWater Supply, 2022
The coefficient of Manning's roughness (n) has been generally implemented in the determination of depth and discharge in open channels and canals.
Parveen Sihag   +3 more
doaj   +1 more source

Enhanced forecasting of multi-step ahead daily soil temperature using advanced hybrid vote algorithm-based tree models

open access: yesJournal of Hydroinformatics, 2023
In this study, the vote algorithm used to improve the performances of three machine-learning models including M5Prime (M5P), random forest (RF), and random tree (RT) is developed (i.e. V-M5P, V-RF, and V-RT).
Javad Hatamiafkoueieh   +8 more
doaj   +1 more source

Predicting the infiltration characteristics for semi-arid regions using regression trees

open access: yesWater Supply, 2021
The study of the infiltration process is considered essential and necessary for all hydrology studies. Therefore, accurate predictions of infiltration characteristics are required to understand the behavior of the subsurface flow of water through the ...
Parveen Sihag   +2 more
doaj   +1 more source

Design and Analysis of Distributed Tree Growing Algorithms

open access: yesIEEE Access, 2022
Tree-based systems rely on real-time dissemination trees to deliver information to nodes. In order to offer good services, two fundamental aspects should guide the real-time growth process: low node degree and short distances to the server. In this paper,
Marcio Nunes De Miranda   +4 more
doaj   +1 more source

Estimating FAO Blaney-Criddle b-Factor Using Soft Computing Models

open access: yesAtmosphere, 2022
FAO Blaney-Criddle has been generally an accepted method for estimating reference crop evapotranspiration. In this regard, it is inevitable to estimate the b-factor provided by the Food and Agriculture Organization (FAO) of the United Nations Irrigation ...
Suthira Thongkao   +6 more
doaj   +1 more source

Data Intelligence Model and Meta-Heuristic Algorithms-Based Pan Evaporation Modelling in Two Different Agro-Climatic Zones: A Case Study from Northern India

open access: yesAtmosphere, 2021
Precise quantification of evaporation has a vital role in effective crop modelling, irrigation scheduling, and agricultural water management. In recent years, the data-driven models using meta-heuristics algorithms have attracted the attention of ...
Nand Lal Kushwaha   +7 more
doaj   +1 more source

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