Search Results - (( pre implementation sensor algorithm ) OR ( java implication force algorithm ))
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1
Intelligent Sensor Data Pre-processing Using Continuous Restricted Boltzmann Machine
Published 2007“…The objective of the project is to finda solution to pre-process noisy signalfor sensors in Lab-on-a-Chip (LOC) and System-on-Chip (SOC) technologies. …”
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Final Year Project -
2
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the algorithm development a step-by-step example of the algorithm implementation is presented and then successfully implemented in Lego Mindstorm obstacle avoiding mobile robot as a proof of concept implementation of the hybrid AI algorithm. …”
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Thesis -
3
Efficient and secured compression and steganography technique in wireless sensor network
Published 2016“…Apart from being able to work with various limitations of the sensor node, both techniques can pre- serve the resource without sacrificing the performance of the nodes, security level of the data and lifetimes of the WSN, and therefore are good candidates for future implementation into the sensor node.…”
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4
Parallel algorithms for numerical simulations of EHD ion-drag micropump on distributed parallel computing systems
Published 2014“…A data parallel algorithm (DPA-EHD) is designed and implemented for the EHD equations. …”
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Thesis -
5
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…These sensors are pre-processed and different feature sets such as time domain, frequency domain, wavelet transform are extracted and transform using machine learning algorithm for human activity classification and monitoring. …”
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Article -
6
An autonomous wheelchair speed control using fuzzy logic controller / Muhammad Ashraf Mohamad Ghazali
Published 2025“…Future enhancements could involve integrating additional sensors and refining the control algorithm for enhanced performance in real-world applications.…”
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7
Image based autonomous indoor parallel parking assist on omni-directional vehicle (ODV)
Published 2016“…Nowadays, Omni-Directional Vehicle (ODV) has been widely used in many fields to perform autonomous missions. Equipped with sensors and pre-programmed navigation systems, ODV can be designed to replace humans in performing dangerous tasks in various fields such as planet exploration and industrial applications. …”
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Undergraduates Project Papers -
8
Bayesian Network Classifiers for Damage Detection in Engineering Material
Published 2007“…The methodology used in the thesis to implement the Bayesian network for the damage detection provides a preliminary analysis used in proposing a novel fea- ture extraction algorithm (f-FFE: the f-folds feature extraction algorithm). …”
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Thesis -
9
A Novel Approach to Estimate Diffuse Attenuation Coefficients for QuickBird Satellite Images: A Case Study at Kish Island, the Persian Gulf.
Published 2013“…Eventually, the maximum likelihood classifier was implemented during pre and post correction steps to examine the capability of the proposed approach. …”
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Article -
10
Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…After evaluating the results of these algorithms, a hybrid Artificial Neural Network-based Imperial Competitive Algorithm (ANN-ICA) was presented in the deployment step of the proposed methodology to identify the structural damage of illustrative structures. …”
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Thesis -
11
Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
Published 2019“…This study first focuses on modifying the PMU model for standard test systems in a MATLAB Simulink environment. This model implements Non-Recursive Phasor Estimation (NRPE) algorithm. …”
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12
Development of water surface robot system for lake sanitation and sampling / Ahmed Abdullah Omar
Published 2022“…Case study 1 tests the robot’s APIs in implementing a genetic algorithm for wayfinding with RTK-based localization. …”
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Thesis -
13
Earthquake alarm detector / Nik Aqil Farihin Nik Mohd Azizee
Published 2024“…The ADXL335 accelerometer sensor detects pre-earthquake tremors. The accelerometer detects vibrations and converts them into corresponding ADC data. …”
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Student Project -
14
Detection and evaluation of Caesium-137 point source using silicone photomultiplier sensor
Published 2021“…The sensor is able produce a spatial resolution of 26% at 662 keV. …”
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Thesis -
15
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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16
An improved machine learning model of massive Floating Car Data (FCD) based on Fuzzy-MDL and LSTM-C for traffic speed estimation and prediction
Published 2023“…It is regarded as GPS sensors which can probe a large scale of traffic flows in real time. …”
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17
Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti
Published 2022“…Meanwhile, nine (9) classifier algorithms and forty (40) band stack combinations were deployed to classify the pothole edge. …”
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18
Hidden markov model for decision making among heterogeneous systems in intelligent building
Published 2014“…The inability of systems, devices and sensors to interoperate is the main drawback in intelligent building. …”
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19
Learner’s emotion prediction using production rules classification algorithm through brain computer interface tool
Published 2018“…These rule sets was implemented in the MYEmotion using MATLAB environment. …”
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20
Improvement of land cover mapping using Sentinel 2 and Landsat 8 imageries via non-parametric classification
Published 2020“…The last phase involves developing a new fusion algorithm using SVM and Fuzzy K-Means Clustering (FKM) algorithms for Sentinel 2 data to enhance LCM accuracy. …”
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