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State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Published 2023Conference Paper -
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
Published 2008“…Three different types of genetic algorithms: simple genetic algorithm (SGA), steady-state algorithm (SSGA) and adaptive genetic algorithm (AGA) are employed in order to examine their performances in converging to their global minimums. …”
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A genetic algorithm approach to VLSI macro cell non-slicing floorplans using binary tree
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Real-Time State of Charge Estimation of Lithium-Ion Batteries Using Optimized Random Forest Regression Algorithm
Published 2024“…Hence, a differential search algorithm (DSA) is employed to search for the optimal values of trees and leaves in the RFR algorithm. …”
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Differential Search Optimized Random Forest Regression Algorithm for State of Charge Estimation in Electric Vehicle Batteries
Published 2023Conference Paper -
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E2IDS: an enhanced intelligent intrusion detection system based on decision tree algorithm
Published 2022“…This work presents an enhanced intelligent intrusion detection model (E2IDS) to detect state of the art known cyberattacks. The model design is Decision Tree (DT) algorithm-based, with an approach to data balancing since the data set used is highly unbalanced and one more approach for feature selection. …”
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Household overspending model amongst B40, M40 and T20 using classification algorithm
Published 2020“…The model development employs five machine learning algorithms namely decision tree, Naive Bayes, Neural network, Support Vector Machines, Nearest Neighbour. …”
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Algorithms of Classification of Mass Problems of Production Subject Domains
Published 2019“…This paper develops the algorithms for classification of mass problems of production subject domains. …”
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Optimized tree-classification algorithm for classification of protein sequences
Published 2016“…The existing classification methods are performing well on a very limited data; however the rapid increase in the genomic data leads to the development of improved computational methods. In this work, we have proposed an optimized tree-classification technique which uses cluster k nearest neighbor classification algorithm to classify protein sequences into superfamilies. …”
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Optimized tree-classification algorithm for classification of protein sequences
Published 2016“…The existing classification methods are performing well on a very limited data; however the rapid increase in the genomic data leads to the development of improved computational methods. In this work, we have proposed an optimized tree-classification technique which uses cluster k nearest neighbor classification algorithm to classify protein sequences into superfamilies. …”
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Footwear quality evaluation using decision tree and logistic regression models
Published 2022“…The analysis showed that Decision Tree with Gini algorithm (three branches) in the first method prevails against the other methods with misclassification rate of 0.1307. …”
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Analysing the performance of classification algorithms on diseases datasets
Published 2023“…The proposed research papers examine the diseases through the disease parameters and classify them using various developed intense classification algorithms such as Support Vector Machine, Decision tree, Logistic Regression, K-nearest neighbor, Naive Bayes. …”
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Enhanced dynamic security assessment for power system under normal and fake tripping contingencies.
Published 2019“…The hybrid logistic model tree (hybrid LMT) approach proposed in this study combines the symmetrical uncertainties (SU) algorithm and the logistic model tree (LMT) algorithm. …”
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Area-based vs tree-centric approaches to mapping forest carbon in Southeast Asian forests from airborne laser scanning data
Published 2017“…We compare the performance of (a) an area-based model developed by Asner and Mascaro (2014), and used primarily in the neotropics hitherto, with (b) a tree centric approach that uses a new algorithm (itcSegment) to locate trees within the ALS canopy height model, measures their heights and crown widths, and calculates biomass from these dimensions. …”
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Monitoring Trends of Land Use and Land Cover Changes in Rajang River Basin
Published 2020“…More importantly, tree broadleaved evergreen closed to open and tree cover flooded fresh or brackish water showed drastic changes over the last decade. …”
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