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Performance analysis of life insurance industry in Singapore.
Published 2008Subjects: “…DRNTU::Business::Finance::Life insurance…”
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Final Year Project (FYP) -
63
Public perception and awareness towards life insurance
Published 2008“…The study observes certain demographic and social factors that might influence public perception and awareness towards life insurance. A survey has been conducted for the purpose of data analysis.…”
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Final Year Project (FYP) -
64
Report on business attachment with Great Eastern Life.
Published 2009“…This is a report on the Business Attachment with Great Eastern Life. The author was attached to the Actuarial Departments for ten weeks and this report aims to summarize her training experience and to comment on the programme's effectiveness.…”
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65
Lapsation of life insurance in Singapore : causes and remedies
Published 2014“…This project was undertaken to look into the causes of lapsation of life insurance policies in Singapore. Factors influencing lapsation were identified and recommendations were made to mitigate the negative factors in order to improve the overall persistency of these policies .…”
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Final Year Project (FYP) -
66
Determination of the life span of inflammatory dendritic cells
Published 2014Get full text
Final Year Project (FYP) -
67
Living in moments : a snapshot of life and death
Published 2016“…To work on a small canvas is tricky, “the short story wants to stop time,” and in that breath of time, a whole life that existed beyond and before the story (Mikics 185). …”
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Final Year Project (FYP) -
68
Ethics in life insurance sales : applications in Singapore
Published 2008“…This study explores the ethical issues in the sales of life insurance in singapore and recommends ways to improve the downward trend of unethical practices.…”
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Final Year Project (FYP) -
69
Creating an IT culture, making IT a way of life
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Conference Paper -
70
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Automation acceptance for sustainable digital daily life
Published 2024“…This empirical research addresses the gap of understanding factors influencing automation acceptance in different daily life activities and the possible impacts on acceptance this may have for other activities. …”
Conference item -
72
Journey into genetics: taking the twists and turns of life
Published 2015“…Although genetics has a pervasive influence in every sphere of life, the focus of my research is on human and medical genetics. …”
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Inaugural Lecture -
73
An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models
Published 2024“…The second model, the greedy-soup-based model, uses a greedy soup technique based on the fusion of multiple fine-tuned models to set the model parameters. The greedy soup selects the model parameters by fusing the model parameters that have significant performance on the validation accuracy in training. …”
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Article -
74
Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models
Published 2024“…When dealing with data scarcity, transfer learning has become the go-to method to use these models in specialized downstream tasks via fine-tuning. However, fine-tuning on small datasets can lead to overfitting and a lack of generalization. …”
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Thesis -
75
EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing
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Article -
76
Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis
Published 2020“…Towards this goal, the architecture of hydrogel selective layer is finely tuned for the first time for improving engineered osmosis (EO) membrane performance. …”
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Journal Article -
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Dynamic stabilization of formation fines to enhance oil recovery of a medium permeability sandstone core at reservoir conditions
Published 2023“…Fines migration has impacted the efficiency of low salinity water flooding at reservoir condition. …”
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Article -
80
Extracting structured data from organic synthesis procedures using a fine-tuned large language model
Published 2024“…The fine-tuned model produces syntactically correct ORD records with an average accuracy of 91.25% for ORD “messages” (e.g., full compound, workups, or condition definitions) and 92.25% for individual data fields (e.g., compound identifiers, mass quantities), with the ability to recognize compound-referencing tokens and to infer reaction roles. …”
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Article