Transmittance measurement using scanning LED by Rosmin Elsa Mohan, Lau, Gih-Keong, Asundi, Anand Krishna, Ping, Yao

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Scanning methodology by Ong, Lay Ting.

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Weak signal detection for scanning near-field optical microscopy by Ng, Boon Ping

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Reactivating and reorganizing activity-silent working memory: two distinct mechanisms underlying pinging the brain by Yang, C, He, X, Cai, Y

“…Recent studies have proposed that visual information in working memory (WM) can be maintained in an activity-silent state and reactivated by task-irrelevant high-contrast visual impulses (“ping”). Although pinging the brain has become a popular tool for exploring activity-silent WM, its underlying mechanisms remain unclear. …”

Biocementation of fine-grained soil by Ong, Jun Hao

“…Further studies are required to understand the mechanisms of the MICP treatment for fine-grained soil.…”
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Film Scan NIKON / by Universiti Teknologi Malaysia. Perpustakaan 3383

A comparative study of continuous versus stop-and-go scanning in circular scanning photoacoustic tomography by Sharma, Arunima, Kalva, Sandeep Kumar, Pramanik, Manojit

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Effect of recycled fine aggregates on concrete properties by Lau, Jing Xi.

“…In this project, the bulk of the experiment conducted is mainly based on the effects of recycled fine aggregates on the properties of hardened concrete. …”
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RF processing of ultra-fine bioceramic materials by Rajendra Kumar

“…This study investigates the radio-frequency plasma synthesis of ultra-fine bioceramic materials.…”
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Characteristics of scanning curves of two soils by Tami, Denny, Rahardjo, Harianto, Leong, Eng Choon

“…Scanning curves of two different soils were obtained from three series of infiltration and drainage experiments on two physical models of soil slopes in the laboratory. …”
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Environment scanning initiatives by SMEs in Singapore by Rajani Madhav Kowtha

“…This study investigated environmental scanning initiatives undertaken by Small and Medium Enterprises (SMEs) in Singapore. …”
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3D scanning on mobile phones by Peck, Jing Heng

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Investigating Interventions in Fine-grained Contexts for Habit Formation by Khan, Mina

“…Habits are automatic responses to specific contextual cues, and can help sustain behavior change. Fine-grained specific contexts are commonly used in habit formation, but interventions in automatically-detected fine-grained contexts have rarely been explored for habit formation. …”
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The fine line between jianli guanxi and la guanxi. by Loh, Wan Fong.

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Scanning electron microscopy (SEM) of aluminium & magnesium by Lim, Justin Hiap Jun

“…Examination and analysis of the microstructure using the Optical Microscope and Scanning Electron Microscopy will be conducted, the results of which will be compared with reliable sources to validate the results, and in doing so, show the usefulness of Scanning Electron Microscopy in failure analysis.…”
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Side scan sonar in inland water survey by Sreekanth Koti Ananda Rao.

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Investigating Fine-Tuning of Language Models for Multiple-Choice Questions by Wang, Ivy A.

“…We specifically investigate training data properties related to positional bias in fine-tuned language model performance on correctly answering MCQs. …”
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Fabrication of fine features using digital light processing stereolithography by Chew, Ze Yong

“…Thus, this project was developed with the objectives to: 1. reduce production cost of Stereolithography by optimizing low end commercial Stereolithography system – ASIGA Freeform Pico 39 Plus such that it is able to print fine features 2. explore effective and convenient post processing step such that it is able to reduce material wastage and at the same time further shorten production lead time The parameter study conducted revealed that every layer thickness has a specific optimal exposure time such that the layers could be printed just fine, with minimal compromise of the internal features’ accuracy. …”
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Investigating fine-tuning of large language models for text summarisation by Khaliq, Usama, Patel, Preeti

“…The limited performance increase from the fine-tuned models was likely due to small datasets and medium-sized LLMs. …”
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Visual analytics for fine-grained text classification models and datasets by Battogtokh, M, Xing, Y, Davidescu, C, Abdul-Rahman, A, Luck, M, Borgo, R

“…In natural language processing (NLP), text classification tasks are increasingly fine-grained, as datasets are fragmented into a larger number of classes that are more difficult to differentiate from one another. …”