Search Results - (( model validation ((tree algorithm) OR (new algorithm)) ) OR ( _ formation based algorithm ))
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1
Photogrammetric unmanned aerial vehicle for digital terrain model estimation under oil palm tree canopy area / Suzanah Abdullah
Published 2021“…At this stage, this study has formulated a new methodology for estimating DTM production under tree canopy conditions based on tree crown estimation produced from the digital surface model (DSM) and subsequently, the tree height estimation was determined as the final process in the DTM implementation. …”
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2
Application of machine learning algorithms to predict removal efficiency in treating produced water via gas hydrate-based desalination
Published 2025“…In this context. ML algorithms provide powerful data driven means to model complex relationship within experimental datasets to improve process optimisation This study systematically evaluated several supervised ML models, including Random Forest (RF) Support Vector Machines (SVM), Ridge Regression, Lasso Regression, Decision Tree, Extra Tree Regression, Gradient Boost, and XGBoost, to predict removal efficiency in GHBD system. …”
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3
A corrosion prediction model for oil and gas pipeline using CMARPGA
Published 2016“…An associative classification technique named classification based on multiple association rules is applied in the proposed prediction model. This proposed prediction model named CMARGA is then enhanced by using genetic algorithm in order build an optimum decision tree. …”
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4
Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…The first modeling technique applies graph algorithms to compute a new set of optimal weighted structural properties of C60 and C70 fullerenes. …”
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5
Edge assisted crime prediction and evaluation framework for machine learning algorithms
Published 2022“…A maximum accuracy of 81% is obtained for Decision Tree algorithm during the prediction of crime. The findings demonstrate that employing Machine Learning techniques aids in the prediction of criminal events, which has aided in the enhancement of public security.…”
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Advanced data mining techniques for landslide susceptibility mapping
Published 2021“…The indices indicated that the SVM model performed better than the other two algorithms in both training and validation datasets. …”
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7
Car dealership web application
Published 2022“…Validations were conducted to prove the correctness of the transfer learning algorithm. …”
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Identification Of Flow Blockage Levels In Centrifugal Pump By Machine Learning
Published 2021“…SVM model with cubic kernel is preferable as the training time taken is relatively lower than Ensemble Bagged Tree due to the ensemble algorithms are more complex. …”
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Automatic detection of oil palm tree from UAV images based on the deep learning method
Published 2021“…The acquired images were first cropped and sampled into small size of sub-images, which were divided into a training set, a validation set, and a testing set. A DL algorithm based on Faster-RCNN was employed to build the model, extracts features from the images and identifies the oil palm trees, and gives information on the respective locations. …”
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10
Complex word identification model for lexical simplification in the Malay language for non-native speakers
Published 2023“…This study consists of three modules, i) A Malay CWI dataset, ii) Malay CWI features with the new enhanced stemmer rules, and iii) A CWI model based on the Gradient Boosted Tree (GB) algorithm. …”
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11
An improved design for cellular manufacturing system associating scheduling decisions
Published 2019“…The proposed model belongs to the class of NP-hard problems. A hybrid heuristic (HH) that has “Simulated Annealing Algorithm (SAA) embedded with Genetic Algorithm (GA)” is proposed. …”
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ExtraImpute: a novel machine learning method for missing data imputation
Published 2022“…In this paper, we propose a new imputation approach using Extremely Randomized Trees (Extra Trees) of machine learning ensemble learning methods named (ExtraImpute) to tackle numerical missing values in healthcare context. …”
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Laptop price prediction using decision tree algorithm / Nurnazifah Abd Mokti
Published 2024“…This research project focuses on developing a laptop price prediction model using the decision tree algorithm based on laptop specifications. …”
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14
A hybrid interpretable deep structure based on adaptive neuro‑fuzzy inference system, decision tree, and K‑means for intrusion detection
Published 2022“…The proposed algorithm was trained, validated, and tested on the NSL-KDD (National security lab–knowledge discovery and data mining) dataset. …”
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15
Enhanced faster region-based convolutional neural network for oil palm tree detection
Published 2021“…To improve the performance of Faster RCNN, feature concatation method was used to integrate the high-level and low-level feature from ResNet50. The proposed model validated the testing dataset of three palm tree regions with mature, young, and mixed mature and young palm trees. …”
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16
New correlation for oil formation volume factor
Published 2014“…It is a family of inductive algorithms which executes computer-based mathematical modeling of multi-parametric data sets. …”
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Evaluation of XML documents queries based on native XML database
Published 2016“…This study is to evaluate the Native XML database (NXD) performance in a comparison with XML_Enabled Database (XED), and then to ellhance· Entity Relationship (ER) algorithm of the relational schema for the improvement of Insert, Delete, Update and Search XML document (XML files with a large number of elements) and finally, to validate the algorithm in NXD and compare the performance ofXED and NXD, by implementing the same command and control data model. …”
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18
Hyper-Heuristic Evolutionary Approach for Constructing Decision Tree Classifiers
Published 2021“…Classification and Regression Tree (CART) algorithm is one of the renowned decision tree induction algorithms to address the classification as well as regression problems. …”
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Electricity distribution network for low and medium voltages based on evolutionary approach optimization
Published 2015“…This thesis proposes an algorithm to find the optimum distribution substation placement and sizing by utilizing the PSO algorithm and optimum feeder routing using modified Minimum Spanning Tree (MST). …”
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20
Landslide susceptibility mapping using decision-tree based chi-squared automatic interaction detection (CHAID) and logistic regression (LR) integration
Published 2014“…This study proved the efficiency and reliability of decision tree (DT) model in landslide susceptibility mapping. …”
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