Filmwise condensation of steam on pin fin arrays fabricated by selective laser melting by Ho, Jin Yao, Leong, Kai Choong

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Long contraction scour by Koh, Chun Wei

“…Hence, the objective of this study is to study the phenomenon of long and gradual contraction scouring in an open channel flow. …”
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FPGA implementation of spiking convolutional neural networks for voice keyword recognition by Ng, Wei Soon

“…The spiking convolutional neural network (SCNN) is a hybrid model of both the spiking neural network (SNN) and convolutional neural network (CNN). …”
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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. …”

Design of pinned and rigid bolted connections using BS 5950:2000 and Eurocode 3 by Xie, Yunshen.

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As Long As the Lemon Trees Grow / by Katouh, Zoulfa, 1994-, author 656134, Hachette Books Group (Online service) 647103

“…A love letter to Syria and its people, As Long as the Lemon Trees Grow is a speculative novel set amid the Syrian Revolution, burning with the fires of hope, love, and possibility. …”
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Decarbonizing Long-haul Trucking by Jones, Robert

“…This contrast raises a crucial question: how can road freight emissions be substantially reduced while at the same time facing a growing transportation demand? Especially for long-haul class 8 trucks, this question is difficult to answer. …”
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Value in very long lives by Greene, Preston

“…I conclude that very long lives are, in principle, desirable, and that death does not play an essential role in our valuing attitudes.…”
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Long-term re-identification by Eng, Yao Hui

“…However, most of these models focus on short-term Re-ID instead of long-term Re-ID. In recent years, the focus of the community is shifting towards Long-Term Re-ID. …”
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Filmwise condensation of steam on sinusoidal pin fin arrays : effects of fin height and fin pitch by Ho, Jin Yao, Leong, Kai Choong, Wong, Teck Neng

“…An experimental investigation on the use of sinusoidal pin fins to enhance filmwise condensation of steam on vertical plates was carried out. …”
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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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Bio-inspired categorization using event-driven feature extraction and spike-based learning by Zhao, Bo, Chen, Shoushun, Tang, Huajin

“…Bio-inspired, cortex-like, spikebased features are obtained through event-driven convolution and neural competition. The extracted spike feature patterns are then classified by a network of leaky integrate-and-fire (LIF) spiking neurons, in which the weights are trained using tempotron learning rule. …”
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Morphological learning in spiking neurons: a new hardware efficient maching learning method by Jahagirdar, Kavya

“…The latest developments in the research of spiking neural network models have shown that unlike the classic neural network models, these models communicate via precisely timed neuron spikes, thus making them a closer representation of the biological neurons. …”
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Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits by Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung

Subjects: “…Spike…”
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Fish Motion Trajectories Detection Algorithm Based on Spiking Neural Network (S/O: 12893) by Yusoff, Nooraini, Yusof, Yuhanis, Siraj, Fadzilah, Ahmad, Farzana Kabir

“…This study proposes sequence learning for the fish motion trajectory by using the Spike-Time dependent Plasticity (STDP) in the Spiking Neural Networks (SNNs). …”
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Long-wave-instability-induced pattern formation in an evaporating sessile or pendent liquid layer by Wei, Tao, Duan, Fei

Subjects: “…Long-wave…”
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