Design and development of a direction finding system by Li, Yuejun

“…Direction Finding System (DFS) refers to an antenna system for finding the direction of a radio source using any Direction of Arrival (DOA) estimation algorithms. …”
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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. …”

Finding meaning behind immortality of Anne Rice’s vampires. by Nurhayati Zakaria.

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Present status of communication research in Bangladesh : significant findings by Abdur Rahman

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Assessment research: convergences and divergences in theoreticalframeworks, findings and implications by Sims, D, Pienaar, L, Cilliers, F

Status epilepticus in sub-Saharan Africa: new findings by Newton, CR, Kariuki, SM

A review on substitution of natural sand with granite fines in sustainable concrete by Li, Ziyang, Lao, Junying, Wang, Lijie, Lim, Namyo Salim, Tan, Kang Hai, Qian, Shunzhi

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Ultra-fine bainite in medium-carbon high-silicon bainitic steel by Yu, Xinpan, Wang, Yong, Wu, Huibin, Gong, Na

“…%C ultra-fine bainitic steel is through austenitization at 1000 °C and austempering at 340 °C.…”
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Building fame through tea: the Wu Family and the Manufacture of zisha teapots during the Ming and Qing dynasties by Gao, X, Hein, A

“…By examining the Wu family’s connection with the origin of zisha teapots, this study investigates how Ming literati used material culture to shape family reputation. …”

Effects of lumbar support to reduce discomfort during prolonged riding among motocyclists by Mohd Shafiei, Umi Kalsom

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Finding bugs inside IoT devices via static analysis by Lim, Gerald Ze Yang

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Direction finding for UWB RFID system in dense cluttered environments by Luo, Yanjia

“…Source direction finding with an antenna array is a major topic in radar-related applications. …”
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Finding common ground on the threshold: an experiment in critical urban learning by Cognetti, Francesca, De Carli, Beatrice

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Finding large additive and multiplicative Sidon sets in sets of integers by Jing, Y, Mudgal, A

The computational complexity of finding stationary points in non-convex optimization by Hollender, A, Zampetakis, M

“…<p>Finding approximate stationary points, i.e., points where the gradient is approximately zero, of non-convex but smooth objective functions f over unrestricted d-dimensional domains is one of the most fundamental problems in classical non-convex optimization. …”

Strike a pose: tracking people by finding stylized poses by Ramanan, D, Forsyth, DA, Zisserman, A

“…We develop an algorithm for finding and kinematically tracking multiple people in long sequences. …”

OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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