Reconstructing the deconstructed by Azaruddin, Nadzirah

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Belly green by Teo, Gillian Pei Yi

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Analog future by Chan, Allan Joon Chiew

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The friendly muse : ADM student wellbeing by Low, Eudora Yu Lin

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My garden of you by Chen, Zhi Lin

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Deciphering Banyan tree networks by Chan, Zachary Zi Xuan

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Lacuna by Tng, Gabriel Yue Hao

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The musician chair by Yin, Jiayi

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Liddat oso can by Tng, Adeline Wen Ting

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Typeical Singapore : tracing Singapore's history through vernacular typography by Effendy, Wynne Celina

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Cloud nine by Li, Joan Zheying

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Mao Mao : don’t ask for a 20ft truck by Choo, Daniel Kok Wai

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An Energy and Area Estimation Plugin for Accelerator Architecture Simulation by Wu, Wendy

“…Accelergy is a tool that provides a good general framework for fine-grained energy and area estimation. However, output from simulation tools may not be compatible with Accelergy’s expected input format, which is the case for the custom simulator Accelsim. …”
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Decoding Codon Bias: The Role of tRNA Modifications in Tissue-Specific Translation by Ando, Daisuke, Rashad, Sherif, Begley, Thomas J., Endo, Hidenori, Aoki, Masashi, Dedon, Peter C., Niizuma, Kuniyasu

“…Our knowledge of the role of the tRNA epitranscriptome in fine-tuning translation via codon decoding at tissue or cell levels remains incomplete. …”
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Utilization of recycled glass for 3D concrete printing : rheological and mechanical properties by Ting, Andrew Guan Heng, Tay, Daniel Yi Wei, Qian, Ye, Tan, Ming Jen

“…This paper examines the use of recycled glass as the fine aggregates for 3D concrete printing applications. …”
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Rapid process modeling of the aerosol jet printing based on gaussian process regression with latin hypercube sampling by Zhang, Haining, Moon, Seung Ki, Ngo, T. H., Tou, J., Bin Mohamed Yusoff, M. A.

“…Aerosol jet printing (AJP) technology is a relatively new 3D printing technology for producing customized microelectronic components due to its high design flexibility and fine feature deposition. However, complex interactions between machine, process parameters and materials will influence line morphology and remain a challenge on modeling effectively. …”
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Salient object detection by fusing local and global contexts by Ren, Qinghua, Lu, Shijian, Zhang, Jinxia, Hu, Renjie

“…In addition, an attention-guided hierarchical network architecture is designed to capture fine-grained spatial details by transmitting contextual information from deeper to shallower network layers in a top-down manner. …”
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iTD3-CLN: learn to navigate in dynamic scene through Deep Reinforcement Learning by Jiang, Haoge, Esfahani, Mahdi Abolfazli, Wu, Keyu, Wan, Kong-wah, Heng, Kuan-kian, Wang, Han, Jiang, Xudong

“…In contrast to the conventional methods such as the DWA, our approach is found superior in the following ways: no need for prior knowledge of the environment and metric map, lower reliance on an accurate sensor, learning emergent behavior in dynamic scene that is intuitive, and more remarkably, able to transfer to the real robot without further fine-tuning. Our extensive studies show that in comparison to the original TD3, the proposed approach can obtain approximately 50% reduction in training to get same performance, 50% higher accumulated reward, and 30–50% increase in generalization performance when tested in unseen environments. …”
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Visual mapping art : data visualization & crowdsourcing for an ostensive definition of art by Ong, Zi Feng

“…The core data will be gathered from existing art databases, such as the Library of Congress (LCC) (Class-N - Fine Arts) and the Universal Decimal Classification (UDC) (73/76 Various arts & crafts); and controlled vocabulary systems such as Art & Architecture Thesaurus (AAT). …”
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Analyzing job roles and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with A... by Tan, Kenneth Meng Hwee

“…The initial phase emphasizes data cleaning and pre-processing to fine-tune job descriptions and associated skill sets. …”
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