Aspect-based sentiment analysis using BERT by Kheriwala, Hussain Khozema

“…Aspect-based sentiment analysis extracts and identifies fine-grained sentiment polarities for a specific aspect. …”
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The city you'll never meet by Lim, Ying Quan

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Soulvurn by Tan, Sherneese

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Visual mapping art : data visualization & crowdsourcing for an ostensive definition of art by Ong, Zi Feng

“…The core data will be gathered from existing art databases, such as the Library of Congress (LCC) (Class-N - Fine Arts) and the Universal Decimal Classification (UDC) (73/76 Various arts & crafts); and controlled vocabulary systems such as Art & Architecture Thesaurus (AAT). …”
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Value investment with machine learning by Wang, Jiwei

“…Further optimization led to the creation of the Improved Fundamental and Technical Factors Model, which achieved an impressive annualized return of 50\% and a Sharpe ratio of 1.85. After fine-tuning key parameters, the final optimized model demonstrated exceptional performance, with an annualized return of 59.82\%, a Sharpe ratio of 2.13, and a win rate of 75\%. …”
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Microstructural evolution during mechanical milling of Nd-Fe-B nanocomposites by Toh, Hon Kun.

“…The rate of chemical disorder as a function of milling intensity was studied by Extended X-ray Absorption Fine Structure (EXAFS) technique. XRD results revealed that higher milling intensity increased the rate of phase transformation and the rate of change in crystal sizes and strain but did not affect the steady state phase composition. …”
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Singapore premiere. by Ong, Shannon.

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Parametric study of gravure printing process for R2R printed electronics by Pua, Suan Tai

“…In this study, however, various printing parameters were investigated to establish their effects on printed line width and film thickness, in an attempt to achieve fine line printing resolution over a large printing area. …”
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A supervised two-channel learning method for hidden Markov model and application on lip reading by Foo, Say Wei, Dong, Liang

“…This method is specially designed to train HMMs for fine recognition from similar observations. The prominent features of this method are 1.) the criterion function is based on the difference between training sequences, and 2.) a twochannel structure is adopted to maintain the validity of the HMM. …”
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Elastic modulus, hardness and creep performance of SnBi alloys using nanoindentation by Shen, Lu, Septiwerdani, Pradita, Chen, Zhong

“…At the intermediate stress region (200–370 MPa), dislocation climb is the dominant creep mechanism with stress exponents around 5–8. When fine lamellar structure is the dominant constituent of the microstructure, phase boundary sliding is identified as the rate-controlling mechanism in the low stress region (<200 MPa).…”
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DECA : recovering fields of physical quantities from incomplete sensory data by Vasilakos, Athanasios V., Xiang, Liu, Luo, Jun, Deng, Chenwei, Lin, Weisi

“…Exploiting both the low-rank nature of real-world events and the redundancy in sensory data, DECA combines matrix completion with a fine-tuned compressed sensing technique to conduct a dual-level reconstruction process. …”
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Knowledge-based reactive planning and re-planning – a case-study approach by Djemai, Ramzi, Vassilev, Vassil, Ouazzane, Karim, Dey, Maitreyee

“…Planning for uncertainties arising from indoor evacuations can be complex as there’s a fine balance to strike between a too-detailed plan and one that’s too vague. …”
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Vision-language modelling for radiological imaging and reports in the low data regime by Windsor, R, Jamaludin, A, Kadir, T, Zisserman, A

“…Combined, they significantly improve retrieval compared to fine-tuning CLIP, roughly equivalent to training with 10x the data. …”

A comparative analysis of missing data imputation techniques on sedimentation data by Loh, Wing Son, Ling, Lloyd, Chin, Ren Jie, Lai, Sai Hin, Loo, Kar Kuan, Seah, Choon Sen

“…A comparative analysis on the missing fine sediment data imputation performance was made based on four different techniques, namely the k-Nearest Neighbourhood (k-NN), Support Vector Regression (SVR), Multiple Regression (MR), and Artificial Neural Network (ANN), under the single imputation (SI) and multiple imputation (MI) regimes. …”
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Sproutly : plantable packaging by Dhanusha Surendran

“…As such, the packaging germinates when planted. The main findings show that supermarkets are flooding the planet with single-use plastics to portion out products conveniently and cheaply for consumption. …”
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Development of a Mandarin learning tool for children using speech recognition model by Wang, Yilin

“…Our approach involved a systematic methodology comprising the assembly of a children audio dataset, model performance testing with a focus on children's voices, and fine-tuning to elevate the model's acuity for concise Mandarin phrases. …”
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Effects of heat treatment parameters on the microstructure and mechanical properties of laser power bed fusion (LPBF) 316L stainless steel by Sun, Yuheng

“…These conditions result in fine-grained structures with cellular structures and high density of dislocations that contribute to improved strength and ductility. …”
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Revisiting “conversations between father and son” by Ong, Bendini Junior Boon Kok

“…In this environment, some audience members will join the artist in initiating and reimaging conversations by assuming the role of the medium, as her father and for the art experience, creating meaning, projecting resolution, finding peace or embracing support. Conversations Between Father and Son (2010) was a part documentary; part obsequy; part performance piece dedicated as a tribute to Marla’s father who died in 2009. …”
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Characterising human disparity tuning properties using population receptive field mapping by Alvarez, I, Mancari, A, Ip, IB, Parker, AJ, Bridge, H

“…Together, these findings point to heterogeneity of disparity processing across human visual areas, comparable to non-human primates.…”

A Review of Genetic Algorithm: Operations and Applications by Md Isa, Faizatulhaida, Ariffin, Wan Nor Munirah, Jusoh, Muhammad Shahar, Erni Puspanantasari Putri, Erni Puspanantasari Putri

“…Methodology-wise, a systematic analysis of existing literature is undertaken to distil key insights and trends in GA applications. The main findings show the adaptability of GA in tackling problems spanning engineering, economics, bioinformatics, and beyond. …”
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