Construction and utilisation of the adhesion test platform for the development of novel adaptive interfacial adhesives by Tan, Yee Yuan

“…The measured adhesion parameters, σth and Gc, provided guidelines for the design of an SMP adhesive fibril, by finding the range of fibril radii where the adhesion exhibits DMT-like behaviour with strong adhesion in the glassy state and JKR-like behaviour with weak adhesion in the rubbery state. …”
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Structural behavior of tubular frame under elevated temperature by Tan, Peng Hoe.

“…On the other hand, future laboratory test can be carried out to validate the findings in this FYP.…”
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Generating metal-organic frameworks (MOFs) from photovoltaic modules for wastewater remediation by Pham, Huu Khue, Sim, Ying, Carboni, Michaël, Meyer, Daniel, Mathews, Nripan

“…The adsorption performances on MB and MO of as-synthesized MOFs were determined to be ranging from 190.1 to 262.5 mg g-1 and 244.5 to 296.7 mg g-1 respectively, demonstrating the potential of upcycling solar panels waste to valuable metal-organic framework for wastewater remediation. The findings pave the way for utilising solar panel electronic waste as a valuable resource for upcycled applications.…”
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Beat the beam: an applied research study on sunscreen usage habits amongst young adults in Singapore by Yeo, Cassandra Jia Xi, Ow Yong, Gladys Xin Yi, Ho, Wen San, Galistan, Tessa Yu-Ting

“…Our study design also included a pre-campaign survey before the launch of the pilot campaign, and a post-campaign survey following its conclusion. Some notable key findings were that the influencer who utilised the photoaging AR filter had a higher credibility compared to when she did not, while organisations have a lower credibility when they utilised the filter compared to when they do not. …”
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On-chain analysis and cryptocurrency price forecasting using on-chain metrics by Sharma, Akshat

“…The project examines the effectiveness of on-chain metrics of 4 cryptocurrencies namely - Bitcoin, Ethereum, Dash and Dogecoin in predicting the price movements of cryptocurrencies using various forecasting models such as GARCH+SARIMAX, Bidirectional LSTM and Prophet model. The research findings reveal that on-chain metrics are useful in forecasting cryptocurrency prices, with the Prophet model achieving high levels of accuracy but only for short-term forecasts. …”
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Understanding early molecular mechanisms of abnormal myelination in neurological conditions by characterising Ermin deficiency by Oh, Sher Li, Ziaei, Amin, Tan, Liang Juin, Utami, Kagistia Hana, Pouladi, Mahmoud A., Langley, Sarah Raye

“…Our observations suggest that there are common mechanisms between Ermin deficiency and biological processes influenced by genetic variants of genetic generalised epilepsy. Our findings demonstrate that in the Ermin-deficient model of abnormal myelination, early changes in transcription factor expression are associated with dysregulation in oligodendrocyte differentiation, synaptic organisation, and protein modification. …”
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Improved packing for fully homomorphic encryption with reverse multiplication friendly embeddings by Sim, Jun Jie

“…While this vast amount of data can provide key revelations and significant findings for businesses, there is a rising trend of individuals lobbying for proper management of this data. …”
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Enhancing downstream ML performance with unconditional diffusion models for return predictions by Agarwala, Pratham

“…These include: (1)Discriminative Score: measures classifier’s ability to differentiate between real and synthetic. (2) Mutual Information Coefficient: measures amount of shared information between the synthetic and real. (3) Variation in Information: Evaluates the diversity within the synthetic data. Findings indicate a direct link between these factors and model performance, with high-diversity and optimal fidelity datasets enhancing forecasting accuracy. …”
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Trajectory prediction of dynamic obstacles in fleet management systems by Quintero, Dann Marko Gayanes

“…This pursuit focuses on various methodologies, including the possibility of integrating multiple algorithms to achieve superior performance. The findings of this research contribute significantly to the ongoing efforts aimed at optimizing trajectory prediction methods within fleet management systems. …”
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Development and design optimisation of digital intensity measurement system for shot peening by Tarani, Dinesh Kumar

“…However, additional exploration is required to translate the findings of this study into a device suitable for integration into the production line as a substitute for or alternative to Almen strip measurement.…”
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Hybrid finite element and machine learning approach for covered linkway sheltering factor assessment by Tok, Wei Sheng

“…In conclusion, this research underscores the potential of integrating computational simulations with advanced machine learning techniques to assess the sheltering factor of covered linkways against UAV collisions. The findings provide valuable insights for engineering analysis and design, contributing to improved understanding and design optimization of protective structures in UAV-prone environments.…”
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Experimental study of steel beam-column joints with novel slot-bolted connections under a central-column-removal scenario by Ma, You-Xin, Chen, Shuang, Tan, Kang Hai

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Advancing beyond conformal conflict resolution in air traffic control: balancing efficiency and conformance by Guleria, Yash, Pham, Duc-Thinh, Alam, Sameer

“…ATCO feedback also indicated that such a conflict resolution advisory mechanism could prove useful in improving controller decision-making. These findings highlighted the need for further research into adaptive conflict resolution models that can potentially better balance the tradeoffs between optimal- and conformal resolution models.…”
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Our model achieves excellent performance on movielens: what does it mean? by Fan, Yu-Chen, Ji, Yitong, Zhang, Jie, Sun, Aixin

“…In this study, we conduct a meticulous analysis of the MovieLens dataset and explain the potential impact of using the dataset for evaluating recommendation algorithms. We make a few main findings from our analysis. First, there are significant differences in user interactions at the different stages when a user interacts with the MovieLens platform. …”
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Unified assessment of mass loss behaviors in soluble, biodegradable, and internally erodible geomaterials by Guo, Yuliang, Zhao, Budi, Pi, Xiaoqing, Fei, Xunchang

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Experimental investigation of impact response of composite plates/panels by Gan, Jia Li

“…In this report, it provides a review of the author‟s results and findings on the impact response of acrylic sandwich panel. …”
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Biologically inspired visual intelligence for unmanned ground vehicles by Peyman Moghadam

“…Based on these findings, vanishing point is considered as a salient and consistent feature during most of the open driving behavior tasks regardless of type of the environments. …”
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Removal of noxious environmental pollutant using photocatalytic membrane reactor by Yeap, Ken Vin.

“…It is evident from the finding that the as synthesize membrane are reproducible. …”
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Spatial aware information retrieval for community-based Q&A (SIRCQA) by Ang, Eugene Soon Leong

“…Lastly, the concern of incorporating query expansion to add other similar or implied location terms deduced by the spatial relationship cue (term) found in queries was examined. From the findings, effective measures were thoughtfully constructed and utilized to improve the search results. …”
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Service quality gaps in the container shipping industry by Phua, Jia Hui.

“…Thereafter, a survey was conducted with shippers and container liner service providers to confirm the validity of the proposed SQ model. In the survey findings, the SQ dimensions: Outcome, Tangible and Process have been identified as top priorities for shippers with SQ attributes associated to reliability, competitive pricing and vessel slot availability being the top concerns of shippers. …”
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