Student poster conferences as a formative, authentic, inclusive and sustainable assessment practice by Sims, D, Aitken, D, Swales, C

“…Of primary importance, the poster conference is a safe-to-fail formative experiential learning opportunity, with opportunities for feedback from peers and key stakeholders. It is a form of authentic assessment that replicates a ‘real world’ conference experience and aspects of public scholarship and peer review. …”

Exploring career realities: elevating graduate employability through job shadowing by Hanaliza Kamis, Phan, Jasmine Ah Kiaw, Sheela Karunaharan Thanaraj, Jen, Ling Gan

“…Overall, the performance of program participants surpassed that of their non-participating peers, underscoring the program’s impact on bridging the gap between academic theory and practical application.…”
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Next generation smart carpark by Kolady, Anamika Martin

“…Addressing these issues, this project endeavours to design an automated car park system to minimise users' waiting times, optimise land use, and maximise parking space efficiency. …”
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Smartphone apps for type 2 diabetes self-management and medication adherence : a multi-method study by Huang, Zhilian

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Conceptual development of revenue and yield management system for shipping business by Poh, Pei Heng.

“…Yield management originated from the airline industry and is widely adopted by other industries such as hotel and car rental. For this paper, we will first look deeper into the airline industry to understand the characteristics that they possess to allow yield management to be efficiently and effectively implemented. …”
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Safety assessment of autonomous vehicles using simulations by Ketki, Chaudhary

“…Since the past few decades, researchers from both automotive and technology industries have focussed their attention on developing vehicles that could drive themselves, so that travel would be less challenging, free from human driver errors and the roads safer for everyone. Self-driving cars are envisioned as robots capable of precise driving, never getting distracted, abiding to all the traffic rules and being able to compute the probability of an imminent collision well in advance. …”
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Universal resilience patterns in labor markets by Moro, Esteban, Frank, Morgan R., Pentland, Alex, Rutherford, Alex, Cebrian, Manuel, Rahwan, Iyad

“…Further, cities that increase their job connectivity see increasing wage bills, and workers of embedded occupations enjoy higher wages than their peers elsewhere. Finally, we show how job connectivity may clarify the augmenting and deleterious impact of automation in US cities. …”
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The epistemic significance of religious disagreements: cases of unconfirmed superiority disagreements by Choo, Frederick Wen Yeong

“…In this paper, I argue that many religious disagreements are cases of unconfirmed superiority disagreements, where parties have good reason to think they are not epistemic peers, yet they lack good reason to determine who is superior. …”
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Magical realism and representations of the cold war in Southeast Asia by Lye, Kit Ying

“…However, while there are acknowledgements by scholars that religious myths and pre-existing animistic beliefs continue to influence the way that the indigenous people understand their worlds, Southeast Asian authors (unlike many of their postcolonial peers), do not actively employ magical realism in their exploration of history and civil unrest in their writings, and when they do, are not employed to the same degree as postcolonial authors in other regions. …”
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Ideas of intelligence across development : a look into children's implicit attitudes of the male = brilliant stereotype by Ng, Sara Hui Xin

“…These results prompt for further exploration of other possible factors such as cultural influences and other socialising agents such as teachers and peers that could have a greater influence on children’s development of this gender stereotype.…”
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Bus Ride Index – a refined approach to evaluating road surface irregularities by Nguyen, Teron, Lechner, Bernhard, Wong, Yiik Diew, Tan, Jun Yew

“…Many studies on ride comfort have focused on cars and trucks, but their results are not applicable to buses, which are characterised by inherently different vehicle dynamics. …”
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Security challenges in automotive hardware/software architecture design by Sagstetter, Florian, Lukasiewycz, Martin, Steinhorst, Sebastian, Wolf, Marko, Bouard, Alexandre, Peyrin, Thomas, Poschmann, Axel, Chakraborty, Samarjit, Harris, William R., Jha, Somesh.

“…State-of-the-art automotive architectures are highly heterogeneous and complex systems that rely on distributed functions based on electronics and software. As cars are getting more connected with their environment, the vulnerability to attacks is rapidly growing. …”
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Adversarial example construction against autonomous vehicle (part 2) by Toh, Koo Fong

“…Autonomous vehicles use Deep Neural Network (DNN) to predict the movement of the car. However, DNN is vulnerable to cybersecurity attacks such as adversarial attacks. …”
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Distributed model predictive control for active air suspension systems of autonomous vehicles by Wang, Muyun

“…This work examines the Distributed Model Predictive Control (DMPC) strategy for an intelligent car air spring suspension system. The nonlinear properties and complexity of air spring suspension are crucial for enhancing handling stability and ride comfort, although they also provide control challenges for suspension systems. …”
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Data collection and analysis for air pollutants (NO2,PM2.5) in Hong Kong by Hui, Benedict Chung Wah

“…Especially with the increase number in private car owners in Hong Kong, the roads located near the Central Business district gets heavily congested and therefore increases the pollution levels immensely. …”
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Symbiotic simulation for future electro-mobility transportation systems by Aydt, Heiko, Lees, Michael, Knoll, Alois

“…The outcome of these simulations can be used by server-based smart routing services and/or in-car navigation systems.…”
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Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…For example, the front and back of a car, or the front and side of a face. In turn this enables object-level matching and recognition throughout a video.…”

SNeS: learning probably symmetric neural surfaces from incomplete data by Insafutdinov, E, Campbell, D, Henriques, JF, Vedaldi, A

“…We evaluate our method on the recently introduced CO3D dataset, focusing on the car category due to the challenge of reconstructing highly-reflective materials. …”

Behind the Two-Wheeled Vehicle: Understanding Riders' Behaviour in School Zones (S/O: 13058) by Abdul Hanan, Suhaila, Zainuddin, Nizamuddin, King, Mark, Lewis, Ioni

“…In relation to school zones, in spite all of the countermeasures that have been implemented in Malaysia (e.g., speed limit signage and school zones road marking), studies show that many road user either car drivers or motorcycle riders (i.e., after this session will be address as motorcyclists) do not comply with the school zones speed limit (SZSL). …”
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Visual place recognition for autonomous robots using deep learning by Huang, Yifeng

“…In addition, self-driving cars require precise, light and comfortable shapes to operate in order to achieve their portability. …”
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