Search Results - (( pattern using algorithm ) OR ( between driving algorithm ))
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1
Optimization and prediction of battery electric vehicle driving range using adaptive fuzzy technique
Published 2022“…The study also developed an algorithm for predictive EMS using fuzzy model predictive control technique based on regression algorithm. …”
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2
Back end process yield improvement by verification of seeder bulk erase quality for 3.5" reowrk hard disk drive
Published 2014“…Result of experiments tested and discussed with several statistical analysis tools such as ANOYA and T-Test to verify the yield improvement. With failed drives filtered from going to filler station using the enhanced algorithm in the HOS production software, yield improvement at back end process achieved around two percent.…”
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3
A Sensorless Positioning System For Linear Dc Motor
Published 2008“…Linear relation between motor position and timing parameters used in control algorithms has been studied and linear equations have been derived. …”
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4
Leader follower pattern formation control using ros for mobile robot application
Published 2022“…ROS will be used to be the main system in controlling the hardware and also to create a virtual environment, generate robot model called Turlebot and implement the algorithms such as SLAM. ROS provides some convenient packages with ROS node and the SLAM algorithms that make the formation problem easier to solve. …”
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5
Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Data collected were used for the multilevel analysis, Markov Chain Monte Carlo (MCMC) simulation via WinBUGS algorithm and influence diagrams for BBNs. …”
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6
Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…One uses Standard Genetic Algorithm (SGA), the second strategy uses Improved Adaptive Genetic Algorithm (IAGA). …”
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7
Fuzzy Platform for Embedded Wearable EEG Seizure Detection in Ambulatory State
Published 2014“…The system distinguishes between 'Normal' and 'Seizure' state using on-the-fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
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8
Rule-base wearable embedded platform for seizure detection from real EEG data in ambulatory state
Published 2014“…The system distinguishes between 'Normal' and 'Seizure' state using on-the-fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
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9
Embedded wearable EEG seizure detection in ambulatory state
Published 2014“…The system distinguishes between 'Normal' and 'Seizure' state using on-the-fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
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10
Multi-objective optimization of all-wheel drive electric formula vehicle for performance and energy efficiency using evolutionary algorithms
Published 2020“…A new method based on constraint multi-objective optimization using evolutionary algorithms is proposed to optimize the powertrain design of a battery electric formula vehicle with an all-wheel independent motor drive. …”
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11
Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university
Published 2024“…The models were numerically solved using the Runge Kutta fourth order method (RK4) and parameter fitting techniques namely Pattern Search and Nelder-Mead Simplex algorithm embedded in MATLAB software. …”
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12
Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data
Published 2014“…The system distinguishes between 'Normal', ‘Pre-Seizure’ and 'Seizure' states using onthe- fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
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13
Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data
Published 2014“…The system distinguishes between 'Normal', 'Pre-Seizure' and 'Seizure' states using on-the-fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
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14
Modifying iEclat algorithm for infrequent patterns mining
Published 2018“…This paper proposes an enhancement algorithm based on iEclat algorithms for mining infrequent pattern.…”
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An expanded square pattern technique in swarm of quadcopters for exploration algorithm
Published 2017“…We simulate the swarm-based exploration algorithm with expanded square pattern using a VREP simulator. …”
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17
An acquisition and a modulated recognition system for driver profiling in Malaysia / Ward Ahmed Alaulddin Al-Hussein
Published 2022“…Following that, three deep-learning-based algorithms, namely, Deep Neural Network (DNN), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN), were modulated to classify the recorded driving data according to the established profiles. …”
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18
Frequent Lexicographic Algorithm for Mining Association Rules
Published 2005“…The primary concept of association rule algorithms consist of two phase procedure. In the first phase, all frequent patterns are found and the second phase uses these frequent patterns in order to generate all strong rules. …”
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19
Rule-Base Wearable Embedded Platform for Seizure Detection from Real EEG Data in Ambulatory State
Published 2014“…The system distinguishes between 'Normal' and 'Seizure' state using on-the-fly calculated features representing the statistical measures for specifically filtered signals from the raw data. …”
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20
Hexagon pattern particle swarm optimization based block matching algorithm for motion estimation / Siti Eshah Che Osman
Published 2019“…Due to the center biased nature of the videos, the HPSO algorithm uses an initial pattern (hexagon-shaped) to speed up the convergence of the algorithm. …”
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