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201
Object recognition using deep learning features
Published 2015Get full text
Final Year Project (FYP) -
202
Evaluation of material properties using ultrasound techniques
Published 2008“…This report describes a new and a unique methodology developed by the author, to calculate the sound velocity through the epoxy using the “through transmission” technique. “Krautkramer USD15S” ultrasonic equipment was used to find out the total time of flight in microseconds for the complete three-layered specimen.…”
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Thesis -
203
Discovery of novel ligands using phage display
Published 2016“…Recombinant laminin-globular 3 (rLG3) from laminin-5 was developed and purified in order to be used to study the binding affinity with α3β1 and α6β4 via ELISA test. …”
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Final Year Project (FYP) -
204
Land reclamation without using soil-fills
Published 2016“…An ideal solution is the use of non-soil fill reclamation method which will eliminate the use of such fill. …”
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Final Year Project (FYP) -
205
Negative obstacle detection using stereo vision
Published 2016“…Computer Binocular Vision make use of this theory, use two cameras to capture images from same scene, obtained the images with disparity. …”
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Final Year Project (FYP) -
206
Renewable energy using fuel cell technology
Published 2016“…Furthermore, using fossil fuels to generate the required energy pollutes the environment. …”
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Final Year Project (FYP) -
207
Ship detection using optical satellite imagery
Published 2016“…This project aims at automated extraction of sea-going vessels using the optical imaging products of 21AT’s TripleSat Constellation. …”
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Final Year Project (FYP) -
208
Exchange rate prediction using computational intelligence
Published 2017“…The best performance in terms of RMSE is the RVFL model with 1000 neurons and 6 input features when it is used with the decomposed price data. When the best algorithms are applied to all of the currency pairs used in the project, most of them have an RMSE value of less than 0.1 and direction accuracy around 80% given that all the previous values are known. …”
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Final Year Project (FYP) -
209
Indoor occupancy estimation using environmental parameters
Published 2017“…The approach requires the extraction and selection of useful features from the sensor data, which can be used with machine learning techniques to obtain occupancy estimates. …”
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Thesis-Doctor of Philosophy -
210
Commodity price prediction using neural networks
Published 2017“…The use of crude oil plays an essential role in our everyday life; ranging from electricity generation to vehicle petrol. …”
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Final Year Project (FYP) -
211
Geotechnical monitoring using fiber optic sensors
Published 2017Get full text
Final Year Project (FYP) -
212
UAV navigation using vision sensor only
Published 2018“…It goes into detail on five different categories of path planning and two popular path planning algorithms that are widely used. Chapter 3 describes the some soft-ware and hard-ware used in this project and the reason for using them. …”
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Final Year Project (FYP) -
213
Predicting stock market using social sentiment
Published 2018“…In this paper, we used Sentiment Analysis to determine if we can predict the stock market direction. …”
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Final Year Project (FYP) -
214
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215
Safety assessment of autonomous vehicles using simulations
Published 2018“…Safety is analysed by recording the vehicle behaviour data, using simulations, and calculating some crucial parameters. …”
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Thesis -
216
Scene text detection using neural network
Published 2019“…The scene text detection formula that uses region-based convolutional neural network (RCNN), is extremely standard in recent years. …”
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Final Year Project (FYP) -
217
Game design and control using EEG signals
Published 2019“…Among the devices, Brain-Computer Interface (BCI) is a new approach which is a system that allows direct communication using brain wave signal as Electroencephalogram (EEG) between human brain and computer machines. …”
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Final Year Project (FYP) -
218
Location tracking using inertial measurement unit
Published 2019“…This project is concerned with obtaining accurate position using inertia sensors such as accelerometers and gyroscopes. …”
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Final Year Project (FYP) -
219
Multi-class classification using deep learning
Published 2019Get full text
Final Year Project (FYP) -
220
Vision enhancement using artificial intelligence techniques
Published 2019“…Instead of using simple decision rule to decide the location of the raindrops, this dissertation came up with a method making use of the time coherence between adjacent frames of each sequence.…”
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Thesis