Universal in-context approximation by prompting fully recurrent models by Petrov, A, Lamb, TA, Paren, A, Torr, PHS, Bibi, A

“…Zero-shot and in-context learning enable solving tasks without model fine-tuning, making them essential for developing generative model solutions. …”

Language models as hierarchy encoders by He, Y, Yuan, Z, Chen, J, Horrocks, I

“…We evaluate HITs against pre-trained LMs, standard fine-tuned LMs, and several hyperbolic embedding baselines, focusing on their capabilities in simulating transitive inference, predicting subsumptions, and transferring knowledge across hierarchies. …”

AI-assisted discovery of quantitative and formal models in social science by Balla, J, Huang, S, Dugan, O, Dangovski, R, Soljačić, M

“…We propose that this AI-assisted framework can bridge parametric and non-parametric models commonly employed in social science research by systematically exploring the space of non-linear models and enabling fine-grained control over expressivity and interpretability.…”

UWB antipodal Vivaldi antenna for monostatic configuration of through wall imaging applications by AHMED, SAJJAD, JORET, ARIFFUDDIN, KATIRAN, NORSHIDAH, PONNIRAN, ASMARASHID, ABDULLAH, M. F. L., ZAKARIA, ZAHRILADHA, SULONG, MUHAMMAD SUHAIMI

“…A specific stable gain of around 11.7 dB is achieved with good directivity and fine radiation patterns. Using this monostatic UWB antenna design, a TWI simulation-based experiment was carried out. …”
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Immobilization of cyclodextrin glucanotransferase on electrospun polyvinyl alcohol nanofibers by Saallah, Suryani

“…In this study, cyclodextrin glucanotransferase (CGTase) enzyme was successfully immobilised on PVA nanofibers via post-spinning and simultaneous electrospraying and electrospinning. …”
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Rail (real) safety issues: predictive maintenance for Singapore railway by Khoo, Alyna Yi Jie

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Surface-enhanced Raman scattering (SERS) spectroscopy platforms for enhanced detection at the nanobio interface: from metabolites to microorganisms by Leong, Shi Xuan

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Stylistic classical Chinese poem generation - the anatomy of an AI poet by Geng, Runqiu

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Advanced detection for blu-ray disc optical recording by Lim, Melvin Heng Li.

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Emotional connectivity in branded entertainment and the gender divide. by Chee, Shona Ee Lin., Phang, Zhi Yuan., Low, Reuben Kok Cherng.

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The suppression of the autonomous self in Singapore. by Li, Hansen.

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Energy-efficient dedicated DCT processor for wireless image sensor node systems by Tang, Tao.

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Characterization of progesterone receptor isoform-selective activities of progesterone receptor modulators in breast cancer cells. by Leo, Joyce Ching Li.

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Development of an industrial SCADA firewall prototype using single board computer - part 2 by Teo, Joycelyn Li Ting

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Structure and phase engineering of 2D transition metal chalcogenides by Tang, Bijun

“…Moreover, the morphology of heterostructures can be engineered by fine-tuning the synthesis conditions. WS2 quantum well is also identified in the synthesized heterostructures, providing opportunities for studying novel optical properties and quantum confinement effects. …”
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Physics-informed machine learning for green data center operations by Wang, Ruihang

“…The evaluation shows that our approach saves 5.7% to 13.8% power usage compared with conventional feedback control and adapts 8x to 10x faster than native fine-tuning with at most 0.74C temperature overshoot. …”
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The Economics of Tropical Deforestation by Balboni, Clare, Berman, Aaron, Burgess, Robin, Olken, Benjamin A.

“…We begin by reviewing the methodological advances that have enabled measurement of forest loss at a fine spatial resolution across the globe. We then develop a simple benchmark model of deforestation based on classic models of natural resource extraction. …”
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An Energy and Area Estimation Plugin for Accelerator Architecture Simulation by Wu, Wendy

“…Accelergy is a tool that provides a good general framework for fine-grained energy and area estimation. However, output from simulation tools may not be compatible with Accelergy’s expected input format, which is the case for the custom simulator Accelsim. …”
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MLTCP: A Distributed Technique to Approximate Centralized Flow Scheduling For Machine Learning by Rajasekaran, Sudarsanan, Narang, Sanjoli, Zabreyko, Anton A., Ghobadi, Manya

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Looking Glass by Nur Mariyah Muhamad Afandi

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