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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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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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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Relationship between synoptic scale meteorology, aircraft parameters, and observable contrails by Barbosa, Maria Paula

“…Long-lasting or "persistent" contrails are line-shaped clouds that form when airplanes fly through cold and humid parts of the atmosphere that are ice-supersaturated. …”
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Anti-leukaemic and chemotherapy supportive effects of berberis vulgaris l. Fruit crude extract on in vitro and in vivo models by Saedi, Tayebeh Azam

“…For the in vitro method, cytotoxic effects of BVFCE were evaluated using MTT assay to determine the IC50 values and compare with non-leukaemic cell line (The 3T3 cell). Observation of the morphological changes in the treated leukaemic cell lines with BVFCE and Doxorubicin (Doxo) was examined using inverted microscope. …”
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Monitoring of singlet fission via two-dimensional photon-echo and transient-absorption spectroscopy : simulations by multiple Davydov trial states by Sun, Kewei, Huang, Zhongkai, Gelin, Maxim F., Chen, Lipeng, Zhao, Yang

“…The anticorrelated oscillations of cross peaks located at symmetric positions with respect to the main diagonal are clearly identified after the stimulated-emission contribution quenches. …”
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Disrupted working memory event-related network dynamics in multiple sclerosis by Rossi, C, Vidaurre, D, Costers, L, D’hooghe, MB, Akbarian, F, D’haeseleer, M, Woolrich, M, Nagels, G, Van Schependom, J

“…First, the activation of an early theta prefrontal network linked to stimulus encoding and attentional control significantly decreases in MS compared to HC. …”

Examining twitter discourse on electronic cigarette and tobacco consumption during national cancer prevention month in 2018: topic modeling and geospatial analysis by Lu, Jiahui, Lee, Edmund Wei Jian

“…Background: Examining public perception of tobacco products is critical for effective tobacco policy making and public education outreach. While the link between traditional tobacco products and lung cancer is well established, it is not known how the public perceives the association between electronic cigarettes (e-cigarettes) and lung cancer. …”
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Elevated reactive oxygen species can drive the alternative lengthening of telomeres pathway in ATRX-null cancers by Goncalves, T, Cunniffe, S, Ma, T, Mattis, N, Rose, A, Kent, T, Mole, D, Geiller, HB, van Bijsterveldt, L, Humphrey, T, Hammond, E, Gibbons, R, Clynes, D, Rose, A

“…Further, we found a possible causal link between the formation of R-loops and the accumulation of DPCs, in particular, formation of TOP1 complexes covalently linked to DNA (Top1cc). …”

Tactile identification of textures using machine learning/ deep learning by Goh, Jun Bin

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Development of perceptual image quality database and assessment for AI generated facial images by Tan, Xin Kai

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Investigation of ionic-conductive biodegradable electrolyte for organic electrochemical transistors by Tan, Keng Soon

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Data-free generative model stealing – an experimental study by Mao, Ruoyi

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Efficient rate-distortion optimization techniques for H.264 by Yu, Hongtao

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Switched-capacitorized DC/DC converters by Lee, Yeow Boon.

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