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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Plasma enhanced chemical vapor deposition growth of vanadium dioxide by LEE, Boon Peng

“…To achieve high quality VO2 thin film on a soda lime glass substrate, understanding nucleation mechanism to fine tune the process condition is essential. Are discussed in this report. …”
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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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Polarity assignment in ZnTe, GaAs, ZnO, and GaN-AlN nanowires from direct dumbbell analysis by Fernández-Rojas, Carlos J., Morral, Anna Fontcuberta i., Mata, Maria de la, Magen, Cesar, Gazquez, Jaume, Utama, Muhammad Iqbal Bakti, Heiss, Martin, Lopatin, Sergei, Furtmayr, Florian, Peng, Bo, Morante, Joan Ramon, Rurali, Riccardo, Eickhoff, Martin, Xiong, Qihua, Arbiol, Jordi

“…The proposed experimental via opens new routes for the fine characterization of nanostructures, e.g., in electronic and optoelectronic fields, where the polarity is crucial for the understanding of their physical properties (optical and electronic) as well as their growth mechanisms.…”
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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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Handbook Of Marine Craft Hydrodynamics And Motion Control / by Fossen, Thor I., author 571020, John Wiley & Sons (Online service) 647106

“…New methods for guidance and navigation, including line-of-sight (LOS) guidance laws for path following, sensory systems, model-based navigation systems, and inertial navigation systems This fully revised Second Edition includes innovative research in hydrodynamics and GNC systems for marine craft, from ships to autonomous vehicles operating on the surface and under water. …”
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The development of empathy in the healthcare setting: a qualitative approach by Yu, Chou Chuen, Tan, Laurence, Le, Mai Khanh, Tang, Bernard, Liaw, Sok Ying, Tierney, Tanya, Ho, Yun Ying, Lim, Evelyn Beng Eng, Lim, Daphne, Ng, Reuben, Chia, Siew Chin, Low, James Alvin

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Measuring social desirability bias in a multi-ethnic cohort sample: its relationship with self-reported physical activity, dietary habits, and factor structure by Teh, Wen Lin, Abdin, Edimansyah, P. V., Asharani, Siva Kumar, Fiona Devi, Roystonn, Kumarasan, Wang, Peizhi, Shafie, Saleha, Chang, Sherilyn, Jeyagurunathan, Anitha, Vaingankar, Janhavi Ajit, Sum, Chee Fang, Lee, Eng Sing, van Dam, Rob M., Subramaniam, Mythily

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