Eccentric compression performance of jointed precast concrete-encased concrete-filled steel tube columns with dry connections by Zhu, Gaoming, Tan, Kang Hai

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

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FSL-QuickBoost: Minimal-Cost Ensemble for Few-Shot Learning by Bai, Yunwei, Cai, Bill Yang, Tan, Ying Kiat, Zheng, Zangwei, Chen, Shiming, Chen, Tsuhan

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Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

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Developing intelligent chatbots powered by large language models by Ng, Kai Teck

“…This project not only fills a gap in understanding the impact of pre-trained language models on chatbot performance but also proposes practical solution for e-commerce owners aiming to improve their customer interaction and satisfaction levels, ensuring Singapore remains at the forefront of e-commerce innovation and adaptability.…”
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Empowering Generation Z accountants in the era of data complexity and open innovation: nurturing big data analytics, diagnostic, and forensic accounting skills by Imjai, Narinthon, Swatdikun, Trairong, Rungruang, Prasit, Basiruddin, Rohaida, Aujirapongpan, Somnuk

“…These findings suggest the imperative need for curriculum development and tailored training programs aimed at enriching these skills among emerging accountants. …”
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Composite material production of nonmetallic printed circuit board waste with recycled high density polyethylene by Muniyandi, Shantha Kumari

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An innovative design of household civil defence shelters by Khong, Zhi Cong.

“…In order to be less dependent on foreign imports for raw materials, there is a need to come up with alternatives to reduce the amount of sand needed. …”
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Wind power load factor in the United Kingdom by Constable, J, Aoyama, H

“…This programme is driven by the Renewables Obligation (RO), a support mechanism that adds around £1 billion a year to consumer bills at present and is forecast, in its current incarnation, to have cost the consumer around £32 billion in total by 2027. …”

Predicting Individual Well-Being in Teamwork Contexts Based on Speech Features by Zeulner, Tobias, Hagerer, Gerhard Johann, Müller, Moritz, Vazquez, Ignacio, Gloor, Peter A.

“…We propose a method to automatically derive social signals related to individual well-being in team collaboration from raw audio and video data collected in teamwork contexts. …”
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Deep generative modeling for image synthesis and manipulation by Yu, Yingchen

“…Fourth, to achieve counterfactual editing without the need for additional training data, we design a framework to comprehensively explore the rich semantic knowledge of the large-scale pre-trained model Contrastive Language Image Pretraining (CLIP). …”
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Automating Design Requirement Extraction From Text With Deep Learning by Akay, Haluk, Yang, Maria, Kim, Sang-Gook

“…For the case of textual documentation, poorly written superfluous descriptions filled with jargon are especially challenging for junior designers with less domain expertise to read. …”
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Robust assessment of railway vehicle safety risks in operation using a proposed data-driven wheel profile generation approach: Design of computer experiments and surrogate models by Braga, Joaquim A.P., Costa, João N., Ambrósio, Jorge, Frey, Daniel, Andrade, António R.

“…Maintenance standards and train operating companies establish safe envelopes for wheel profile geometric parameters. …”
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Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases by Qin, Yuting

“…Based on the collected data, we train a linear regression model to predict the search performance. …”
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Effect of positive-negative image ratio on the performance of pedestrian detection model by Yee, Lai Kok, Ken, Tan Lit, Choo, Hau Sim, Asako, Yutaka, Lee, Kee Quen, Kang, Hooi Siang, Gan, Yee Siang, Chuan, Zunliang, Tey, Wah Yen, Nor Azwadi, Che Sidik

“…Surprisingly, there is a scarcity of research addressing the optimal ratio of positive to negative images for training detection models. This study endeavors to fill this research gap by exploring various detection models and determining the ideal ratio. …”
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Carbon nanomaterial/thermoplastic polyurethane composites for sports application : preparation, characterization and simulation by Jing, Qifei

“…Regarding the thermal stability, PU filled with 1 wt% FGO showed the largest extent of improvement. …”
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Effects of interaction between information technology (IT) and a Singapore hotel : a case study by Lee, Elena Yen Ping, Lim, Amos Beng Lee, Heng, Lee Cheng

“…Conversely, the use of IT changes job tasks and has impact on the organisation structure, staff training, level of service/hospitality and organisation policy. …”
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Gap analysis of social science resources for conservation practice by Detoeuf, D, de Lange, E, Ibbett, H, Gupta, T, Solis, CM, Mavakala, K, Catapani, M, Kretser, HE, Milner-Gulland, EJ, Brittain, S, Newing, H, Fariss, B, Spira, C, Eyster, HN, DeMello, N, Wallen, KE, Thornton, SA, Bennett, NJ, Choo, LL

“…Globally, formal education and training in the social sciences are often unavailable or inaccessible to conservation practitioners; non-formal education may help fill this gap. …”

China and the “Singapore Model” : perspectives from mid-level cadres and implications for transnational knowledge transfer by Liu, Hong, Wang, Tingyan

“…Over the past three decades, China has shown tremendous interest in the “Singapore model” through its sending of tens of thousands of cadres to Singapore for executive training and graduate education. Although this phenomenon has been studied, no attention has been drawn to the perspectives of those mid-level cadres who took part in the training and what those perspectives might imply. …”
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Machine learning baseline energy model (MLBEM) to evaluate prediction performances in building energy consumption by Mustapa, Rijalul Fahmi, Hairuddin, Muhammad Asraf, Mohd Nordin, Atiqah Hamizah, Dahlan, Nofri Yenita, Mohd Yassin, Ihsan, Khirul Ashar, Nur Dalila

“…Accurate EEC prediction will offer a huge advantage for building operators to properly monitor, plan, and manage the EEC, hence avoiding excessive utility bills.…”
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