A cup of coffee by Yong, Kai Ting

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Deep robust multilevel semantic hashing for multi-label cross-modal retrieval by Song, Ge, Tan, Xiaoyang, Zhao, Jun, Yang, Ming

“…It seeks to preserve fine-grained similarity among data with rich semantics,i.e., multi-label, while explicitly require distances between dissimilar points to be larger than a specific value for strong robustness. …”
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Fabrication and characterization of spin-based synaptic devices by Lim, Idayu

“…Spin orbit torque (SOT) induced chiral domain wall (DW) motion in heavy-metal/ferromagnetic racetrack devices is promising for achieving energy-efficient and high-speed computing elements for edge intelligence[1]. By utilizing fine-grained control of the DW positions and hence, variable resistance readouts, analog synapses can be emulated[2]. …”
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An enhanced deep reinforcement learning ensemble empowered by large language model by Li, Xinyi

“…At its core, LLM-DRE effectively processes and synthesizes disparate forms of market data to fine-tune trading strategies, enabling an enriched assessment of financial environments. …”
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Annotating videos that teach MS Excel and predicting mouse / keyboard actions by Tan, Genson Yao Jie

“…The research methodology involves exploring the limitations of fine-tuning Flan-T5 for this task, while also utilizing prompt engineering on Large Language Model (LLM) such as Llama 2 as an alternative method. …”
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Analyzing job roles and skill descriptions using NLP techniques (part 1: data cleaning and pre-processing and part 4: front-end visualization/user interface) - collaboration with A... by Tan, Kenneth Meng Hwee

“…The initial phase emphasizes data cleaning and pre-processing to fine-tune job descriptions and associated skill sets. …”
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Job scam detection using classification algorithms by Sim, Keith Shi Jie

“…Hence, future work in this area can focus on creating a more robust, comprehensive and balanced dataset as compared to the EMSCAD dataset and focus on fine-tuning other transformer models such as BigBird and Longformer, that are capable of handling larger sequences of texts.…”
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Supercreative : unleashing creative potential. by Chee, Edison.

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Umbrella by Khoo, Siew May

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One more minute by Liew, Ming Jia

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Image retrieval with deep learning by Tan, Joe Chin Yong

“…Actions can be done to fine-tune the feature extractor with distorted images to see whether it will be more resilient to these distortion methods. …”
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Astray by Tan, Ken Wei Hao

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A book is a body by Goh, Su-Lynn

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Parallelizing Sparse Matrix Solve for SPICE Circuit Simulation using FPGAs by Kapre, Nachiket, DeHon, Andre

“…Fine-grained dataflow processing of sparse matrix-solve computation (Ax = b) in the SPICE circuit simulator can provide an order of magnitude performance improvement on modern FPGAs. …”
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Particles size-associated membrane fouling in microfiltration of denitrifying granules supernatant by Liu, Ya-Juan., Sun, Darren Delai

“…It was also found that the addition of calcium in SBRs could help to reduce concentrations of fine particles, colloids and soluble extracellular polymeric substances (sEPS), and subsequently led to the reduction of membrane fouling.…”
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Alternative splicing in the DBD linker region of p63 modulates binding to DNA and iASPP in vitro by Lotz, R, Osterburg, C, Chaikuad, A, Weber, S, Akutsu, M, Machel, AC, Beyer, U, Gebel, J, Löhr, F, Knapp, S, Dobbelstein, M, Lu, X, Dötsch, V

“…We speculate that, through the formation of hetero-complexes of both isoforms, the affinity to DNA, as well as the interaction with iASPP, can be fine-tuned in a tissue-specific manner.…”

Investigating factors contributing to enhancer-promoter interaction by Cornell, LJ

“…This thesis aims to address less well understood mechanisms of how enhancer-promoter communication is fine tuned in the context of the murine ⍺-globin locus. …”

Optimizing diode laser performance: effective noise reduction in a three-dimension printing machine by Farhan, Mohammed F., Salman, Suhad D., Leman, Z., Alkbir, M.F.M., Januddi, Fatihhi

“…This research focuses on reducing noise in 3D laser printers, commonly used in businesses and home offices. By fine-tuning printer components and analyzing noise levels, the primary goal is to minimize the noise produced by a 3D laser printer. …”
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Development of Adaptive Neuro-Fuzzy Inference System to Predict Concrete Compressive Strength by Seyed Hakim, Seyed Jamaldin, Jamaludin, Norwati, Heng Boon, Koh, Mokhtar, Shahrul Niza, Ali Khalifa, Nasradeen, Jamellodin, Zalipah

“…Each dataset was consisting of six input variables that were water, cement, fine and coarse aggregates, silica fume, and superplasticizer. …”
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The iHealth-T2D study, prevention of type 2 diabetes amongst South Asians with central obesity and prediabetes: study protocol for a randomised controlled trial by Kasturiratne, Anuradhani, Khawaja, Khadija I., Ahmad, Sajjad, Siddiqui, Samreen, Shahzad, Khurram, Athauda, Lathika K., Jayawardena, Ranil, Mahmood, Sara, Muilwijk, Mirthe, Batool, Tayyaba, Burney, Saira, Glover, Matthew, Palaniswamy, Saranya, Bamunuarachchi, Vodathi, Panda, Manju, Madawanarachchi, Suren, Rai, Baldeesh, Sattar, Iqra, Silva, Wnurinham, Waghdhare, Swati, Jarvelin, Marjo-Riitta, Rannan-Eliya, Ravindra P., Gage, Heather M., van Valkengoed, Irene G. M., Valabhji, Jonathan, Frost, Gary S., Loh, Marie, Wickremasinghe, Ananda R., Kooner, Jaspal S., Katulanda, Prasad, Jha, Sujeet, Chambers, John C.

“…Based on the follow-up to end 2019, the observed incidence of T2D in the study population is in line with expectations (6.1% per annum). Conclusion: The iHealth-T2D study will advance understanding of strategies for the prevention of diabetes amongst South Asians, use approaches for screening and intervention that are adapted for low-resource settings. …”
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