Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks by Zhang, Zhengyan, Xiao, Guangxuan, Li, Yongwei, Lv, Tian, Qi, Fanchao, Liu, Zhiyuan, Wang, Yasheng, Jiang, Xin, Sun, Maosong

“…The pre-training-then-fine-tuning paradigm has been widely used in deep learning. …”
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Technological transmission of knowledge in Neolithic northwestern China: mineralogical and chemical analyses of Yangshao and Majiayao painted ware by Spataro, M, Hein, A

“…The analyses were carried out to detect differences or similarities in the chaînes opératoires of ceramic production at the three sites, in particular, to examine the clay types selected to make the three main categories of wares for which Yangshao and Majiayao are known, namely painted fine wares, burnished fine wares, and unpainted coarse wares. …”

Modelling familiarity : towards age-friendly exergame design by Zhang, Hao

“…Study I aims to evaluate the effectiveness of familiarity on improving older adults' ability and motivation to exergames. 44 Singaporean older adults were involved in this study to play Ping Pong exergame, which is infused with table tennis activities. …”
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WiFi and vision multimodal self-supervised learning for human activity recognition by Tang, Shijie

“…In this context, we propose a novel Multimodal Pretrain fine-tune (MPF) network architecture for device-free human activity recognition using commercial WiFi-enabled IoT devices and cameras. …”
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Utilization of oil contaminated sand for green asphalt concrete production by Ng, Ye Han

“…The objective of this research is to study the feasibility of Oil Contaminated Sand (OCS) usage as a replacement of certain percentage of fine aggregates in Hot Mix Asphalt (HMA) for road construction. …”
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Design of conditioning unit for data transmission over power distribution lines by Tan, Ming Hui.

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The role of post-pyrolysis carbon dioxide capture in hydrogen recovery from waste-derived pyrolysis gas by Wang, Yuxin, Veksha, Andrei, Ong, Joel, Ueki, Yasuaki, Yoshiie, Ryo, Naruse, Ichiro, Lisak, Grzegorz

“…The pyrolysis gas was obtained from various waste-derived feedstocks (municipal sewage sludge, refused derived fuel (RDF), pine sawdust (biomass), and marine litter) by pyrolysis (600 °C), and underwent the treatment with CaO (600 °C) followed by the thermolytic decomposition at 1300 °C. …”
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Properties of copper slag concrete by Zhang, Weide

“…This report investigated the mechanical properties of high strength concrete incorporating copper slag as fine aggregates. The rising need for alternative fine aggregates substitution of sand is essential due to its high materials cost and the emphasis on sustainable concrete. …”
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Exploring WAP technology to enhance online discussion by Lee, Chwee Beng.

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Pre-planned recovery schemes with delay consideration for high speed networks by Teo, Lawrence Kok Keong.

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Design and application of spectrometer by Oh, Wendy Mei Ling.

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Paperless office for designers by Chang, Linlin

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Automated teller machines in Singapore by Soh, Yong Chee, Phua, Alice Loo Huay, Tan,Yang Leng

“…Activation of ATMs can also be enhanced by substituting the present A TM card and PIN system with either voice recognition, retina recognition or thumbprints. …”
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Neural abstractive summarization: improvements at the sequence-level by Ravaut, Mathieu

“…With enough data, pre-trained Transformer-based sequence-to-sequence models can be fine-tuned and achieve strong performance on abstractive summarization benchmarks. …”
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Leveraging linguistic knowledge to enhance low-resource NLP applications by Zhu, Zixiao

“…Specifically, 1. In the promptless fine-tuning paradigm, we first focus on fine-tuning word embeddings for task-related words, thereby enriching the conceptual knowledge available to compositional neural networks during feature learning in emotion recognition. …”
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Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

“…Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. …”
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Influence of mesh sizes and orientations on expanded aluminium sheets on tensile performances by Nik Ismail, N A, Roslan, M N, Ismail, A E, El Bakri, H M

“…According to the results of the experiment, specimens with fine mesh have higher tensile stress, which is 44.90 MPa for fine mesh specimens with a 30° orientation, compared to medium and coarse mesh sizes, which have the lowest strength, which is 7.06 MPa for coarse mesh specimens with a 60° orientation. …”
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The use of unified power flow controller to enhance power system stability by Meng, Zhao Jun.

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On the link upgrade problem for networks by Niu, Zhuo.

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A study on thermal-induced distortion in solid objects by Cao, Yangfeng

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