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101
A build-and-learn pedagogical framework for engineering outreach
Published 2017“…Both the robot car designs are control via Bluetooth using Android mobile applications. …”
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Final Year Project (FYP) -
102
Theoretical investigations and simulations of femtosecond stimulated Raman spectroscopy and coherent anti-stokes Raman spectroscopy
Published 2013“…Femtosecond stimulated Raman spectroscopy (FSRS) and coherent anti-Stokes Raman spectroscopy (CARS) as the novel techniques are widely employed to study the molecular structure and chemical reaction dynamics of physical and biological processes that occur on the ultrafast femtosecond time scale. …”
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Thesis -
103
Nanyang venture formula 1: testing and performance evaluation of formula vehicle under FSAE on-track regime
Published 2023“…This FYP report details the assembly and setup of the steering, drivetrain and suspension systems and the testing and data analysis of NTUs first FSAE car, the NVF-1. The report began with the assembly and modification of systems previously designed by seniors who graduated. …”
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Final Year Project (FYP) -
104
100 UMPSA athletes to compete in 10 events at the 2024 SUKUM Championship
Published 2024“…PEKAN, 6 August 2024 – The enthusiastic cheers of “UMPSA! Minda Juara!” echoed as 100 athletes, comprising 65 men and 35 women from Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA), prepared to represent their university in the upcoming 2024 SUKUM Championship.…”
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Newspaper -
105
What are the intensities and line-shapes of the twenty four polarization terms in coherent anti-Stokes Raman spectroscopy?
Published 2015“…Coherent anti-Stokes Raman spectroscopy (CARS) is conventionally described by just one diagram/term where the three electric field interactions act on the ket side in a Feynman dual time-line diagram in a specific time order of pump, Stokes and probe pulses. …”
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Journal Article -
106
Driver fatigue detection from facial features
Published 2021“…The increase in demand for private cars has resulted in the rising number of cars on the road over the past 10 years. …”
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Final Year Project (FYP) -
107
Vehicular localization using 5G V2X
Published 2022“…With rapid advancements in automotive fields, self-driving cars are gradually transferred from labs to roads in our real lives. …”
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Final Year Project (FYP) -
108
Behaviour of motorists during changeover of rates of the electronic road pricing system
Published 2014“…The project also found that the hourly profile of motorcyclists entering the Restricted Zone displayed a notably different trend from that of cars, and that motorcyclists appear to be more price-sensitive as compared to car owners. …”
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Final Year Project (FYP) -
109
Web-based GUI for embedded applications
Published 2016“…Meanwhile, robotic equipment like cars and drones, have microprocessor embedded inside so they can be manipulated with minimum change. …”
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Final Year Project (FYP) -
110
Design and development of a solar-powered vehicle
Published 2014“…The objective is to design a fast and stable solar model car which can be used to participate in a solar race named Alternative Energy Car Challenge Solar Prix 2014 in Singapore. …”
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Final Year Project (FYP) -
111
The 2005 PASCAL visual object classes challenge
Published 2006“…Four object classes were selected: motorbikes, bicycles, cars and people. Twelve teams entered the challenge. …”
Conference item -
112
Object class recognition by unsupervised scale-invariant learning
Published 2003“…The flexible nature of the model is demonstrated by excellent results over a range of datasets including geometrically constrained classes (e.g. faces, cars) and flexible objects (such as animals).…”
Conference item -
113
Exploratory Study on Customer Requirement in View of Electric Vehicle Development in Malaysia: Electric Vehicles in Malaysia (S/O: 12726)
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Monograph -
114
A visual category filter for Google Images
Published 2004“…</p> <p>We demonstrate the method on image sets returned by Google’s image search for a number of object categories including bottles, camels, cars, horses, tigers and zebras.</p>…”
Conference item -
115
Weakly supervised scale-invariant learning of models for visual recognition
Published 2006“…The flexible nature of the model is demonstrated by results over six diverse object categories including geometrically constrained categories (e.g. faces, cars) and flexible objects (such as animals). …”
Journal article -
116
Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis
Published 2024“…Therefore, the HSI coupled with multivariate analysis (CARS+PLS) is a potential technique for monitoring the drying process of glutinous rice on both small and industrial scales.…”
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Conference or Workshop Item -
117
Development of a 3D vehicle driving simulator (cross platform simulation of CAV)
Published 2022“…An autonomous vehicle (AV), often known as a driverless car, is a vehicle that can perceive its surroundings and navigate safely without the need for human intervention. …”
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Final Year Project (FYP) -
118
Solar vehicle to grid simulation model
Published 2010“…However, manufacturers are investing and researching into green vehicles, electric cars being one of the cleaner and more efficient options. …”
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Final Year Project (FYP) -
119
Autonomised harming
Published 2023“…This paper sketches elements of a theory of the ethics of autonomised harming: the phenomenon of delegating decisions about whether and whom to harm to artificial intelligence (AI) in self-driving cars and autonomous weapon systems. First, the paper elucidates the challenge of integrating non-human, artificial agents, which lack rights and duties, into our moral framework which relies on precisely these notions to determine the permissibility of harming. …”
Journal article -
120
A boundary-fragment-model for object detection
Published 2006“…</p> <p>We demonstrate the following results: (i) the BFM detector is able to represent and detect object classes principally defined by their shape, rather than their appearance; and (ii) in comparison with other published results on several object classes (airplanes, cars-rear, cows) the BFM detector is able to exceed previous performances, and to achieve this with less supervision (such as the number of training images).…”
Conference item