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121
Implementation of depth estimation algorithm for smartphone camera
Published 2015“…Car navigation application is a raising topic in recent years due to rapid development of technology. …”
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Final Year Project (FYP) -
122
A study of land transport management in Southeast Asia
Published 2020“…This study focuses primarily on land transport management and ownership of private vehicles such as cars and motorcycles in each respective capitals of the countries in Asia (Singapore, Kuala Lumpur, Bangkok and Jakarta).…”
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Final Year Project (FYP) -
123
Safety at road junctions
Published 2015“…This suggests that the number of traffic fatalities may reduce if most motorcyclists had traveled in a safer manner, as well as cars and heavy goods vehicles.…”
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Final Year Project (FYP) -
124
Broadcasting safety message
Published 2015“…As we all know that Singapore is a very small city and there are a lot of car in Singapore. In this small and fast pace city, we need to get to our destination as quickly as possible. …”
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Final Year Project (FYP) -
125
Expectations of undergraduates upon graduation and their means of financing it
Published 2013“…The MAS restrictions on unsecured personal loans and car loans, introduced in February 1995, is designed to check the sharp increases in personal loans and car loans over the years.…”
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Final Year Project (FYP) -
126
F1 racing circuit In laboratory setting
Published 2018“…The main objective of the project is to create an app that could assist the user to generate a random racing circuit layout for them to assemble it and test their robotics racing car capabilities. The app is supposed to be able to allows the user to input the level of difficulties of the racing circuit that they want and the distance that they wish to test their robotics racing car. …”
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Final Year Project (FYP) -
127
Video surveillance for intelligent transportation system
Published 2019“…We are presenting a way to robustly detect the real-time traffic flowrate and classify the vehicle type (bus, car, motorbike) using basic video processing technologies from a surveillance camera video input. …”
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Final Year Project (FYP) -
128
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 -
129
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 -
130
Analysis of corporate governance and corporate performance in the 2007-2008 financial crisis
Published 2010“…The measure of performance is each firm’s cumulative abnormal returns (CAR) before and during the crisis, and the governance index is obtained from WRDS and BoardAnalyst.…”
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Final Year Project (FYP) -
131
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 -
132
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 -
133
A case study of Lexus in the Singapore automobile industry
Published 2014“…The launch of Lexus in Singapore marks the birth of a juggernaut in the luxury car market which has traditionally been dominated by the European ‘masters’.…”
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Final Year Project (FYP) -
134
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 -
135
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 -
136
Analysis of mobile sources of air pollution
Published 2014“…Mobile sources are buses, cars, trucks, motorcycles, ships and aeroplanes. …”
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Final Year Project (FYP) -
137
Robust wireless baseband coding for advanced built-in tire monitoring system
Published 2015“…A tire monitoring system is an essential part of cars and other traffic vehicles to help people know the working condition of tires. …”
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Thesis -
138
Use of the motivation-expectation space to communicate strategies in a joint cognitive system
Published 2011“…In this thesis, the translation was repeated for an in-car navigation task to gain insights in the MES application for a context with intentional constraints. …”
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Thesis -
139
Implementation of reinforcement learning using neural networks
Published 2014“…Reinforcement learning can be used to train machine to do our daily job such as cleaning the house, driving the car and may even one day breach into the manufacturing world.…”
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Final Year Project (FYP) -
140
Advances in Industrial Internet of Things, Engineering and Management /
Published 2021“…Some topics include the impact of ICT on the emergency response vehicle driving time, car accident detecting systems based on machine learning algorithms, smart city platforms based on citizen reporting services, and IoT-based household energy consumption prediction using machine learning. …”
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