Search Results - (( development drive pattern algorithm ) OR ( java implication based algorithm ))
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Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems
Published 2025“…This project develops an AI-based anomaly detection system. In the field of autonomous driving, abnormal data will directly affect the safety of autonomous driving systems, especially in terms of abnormal camera sensor data. …”
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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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A Sensorless Positioning System For Linear Dc Motor
Published 2008“…In order to eliminate the harmonic oscillation effect, a few variants pattern of PWM signals are used to drive the motor. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Design and Simulation on Compressor Metal Matrix Composite by Investment Casting
Published 2011“…This study presents the use of genetic algorithm (GA) and computer programs for designing a new compressor and determined the wax pattern dimensions based on three-dimensional finite-element simulations as a preliminary study by using investment casting method. …”
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Intelligent road recognition system for automous vehicle
Published 2013“…An autonomous vehicle is a self-driving vehicle, that requires no operator to be involve in performing the set tasks. …”
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A study on data-driven impedance matching in four channels bilateral teleoperation
Published 2019“…Therefore, there is a need to overcome the said mismatch pattern in the overall closed-loop architecture. The main objective of this research is to design and develop control algorithms to drive both sides of the master and slave system to attain symmetrical impedance between them. …”
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Generation of synthetic 5G network dataset using Generative Adversarial Network (GAN)
Published 2024“…The existence of Generative Adversarial Network (GAN) helps solve the issue by generating fake data from an existing dataset to resemble real-world data to be used in training and testing of different algorithms. In this paper, the process of generating synthetic data of 5G network was demonstrated from an extensive test drive results that will encourage innovation in mobile communication. …”
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Software reusability in green computing / Ibraheem Y. Y. Ahmaro
Published 2013“…It can be discerned that the main software reusability approaches used in the IT industry include design patterns, component-based development and application frameworks. …”
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Design and simulation on compressor metal matrix composite by investment casting
Published 2011“…This study presents the use of genetic algorithm (GA) and computer programs for designing a new compressor and determined the wax pattern dimensions based on three-dimensional finite-element simulations as a preliminary study by using investment casting method. …”
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Determining malaria risk factors in Abuja, Nigeria using various statistical approaches
Published 2018“…Studies have identified many driving factors of malaria prevalence; however, there are still missing links as malaria remains endemic in developing nations despite various interventions instituted against it especially in Sub-Saharan Africa (SSA). …”
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Fuzzy Platform for Embedded Wearable EEG Seizure Detection in Ambulatory State
Published 2014“…This gives an enhanced advantage over the existing EEG based seizure detection systems due to their complex pattern classification methodologies. Based on the presented technique, a wearable ubiquitous system can be easily developed with applications in personal healthcare and clinical usage. …”
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Rule-base wearable embedded platform for seizure detection from real EEG data in ambulatory state
Published 2014“…This gives an enhanced advantage over the existing EEG based seizure detection systems due to their complex pattern classification methodologies. Based on the presented technique, a wearable ubiquitous system can be easily developed with applications in personal healthcare and clinical usage. …”
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Embedded wearable EEG seizure detection in ambulatory state
Published 2014“…This gives an enhanced advantage over the existing EEG based seizure detection systems due to their complex pattern classification methodologies. Based on the presented technique, a wearable ubiquitous system can be easily developed with applications in personal healthcare and clinical usage. …”
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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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Intelligent Fuzzy Classifier for Pre-Seizure Detection from Real Epileptic Data
Published 2014“…For example, a person is driving or handling power tools can stop, a person carrying a baby can lie-down, etc……”
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Rule-Base Wearable Embedded Platform for Seizure Detection from Real EEG Data in Ambulatory State
Published 2014“…This gives an enhanced advantage over the existing EEG based seizure detection systems due to their complex pattern classification methodologies. Based on the presented technique, a wearable ubiquitous system can be easily developed with applications in personal healthcare and clinical usage. …”
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Intelligent Fuzzy Classifier for pre-seizure detection from real epileptic data
Published 2014“…For example, a person is driving or handling power tools can stop, a person carrying a baby can lie-down, etc. …”
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