Deep learning for fabric defect detection by Nangia, Saniya

“…The base models, YOLOv8 and RT-DETR, are fine-tuned on a dataset of patterned fabric defects to find the optimal model configurations. …”
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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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Ig.n.is. by Ong, Jian'an.

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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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Plateau by Png, Hui Min, Goh Timothy Wei Wen

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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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Infectious diseases acquired by international travellers visiting the USA by Stoney, Rhett J, Esposito, Douglas H., Kozarsky, Phyllis, Hamer, Davidson H., Grobusch, Martin P., Gkrania-Klotsas, Effrossyni, Libman, Michael, Gautret, Philippe, Lim, Poh Lian, Leder, Karin, Schwartz, Eli, Sotir, Mark J., Licitra, Carmelo

“…Travellers presented with a range of illnesses; skin and soft tissue infections of unspecified aetiology were the most frequently reported during travel (29 diagnoses, 14% of during-travel diagnoses); arthropod bite/sting was the most frequently reported after travel (173 diagnoses, 15% after-travel diagnoses). …”
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Viral proteases activate the CARD8 inflammasome in the human cardiovascular system by Nadkarni, Rhea, Chu, Wern Cui, Lee, Cheryl Q. E., Mohamud, Yasir, Yap, Lynn, Toh, Gee Ann, Beh, Sheryl, Lim, Radiance, Fan, Michelle Yiyun, Zhang, Lyanne Yizhuo, Robinson, Kim, Tryggvason, Karl, Luo, Honglin, Zhong, Franklin, Ho, Lena

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Three physiological responses in fathers and non-fathers’ to vocalizations of typically developing infants and infants with Autism Spectrum Disorder by Esposito, Gianluca, Valenzi, Stefano, Islam, Tanvir, Bornstein, Marc H.

“…Three convergent methodologies (Galvanic Skin Response—GSR; cardiac dynamics via Inter-Beat Interval—IBI; right hand temperature change—RHTC) were performed on two groups with contrasting caregiving experience: fathers of typically developing children (n = 10) and non-fathers (n = 10). …”
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Investigating the genetics and immunopathogenesis of ankylosing spondylitis by Liu, F

“…<p>Ankylosing spondylitis is an immune-mediated inflammatory arthritis mainly affecting the spine, although the peripheral joints, skin, intestine, and eyes could also be affected. …”

Towards semantic, debiased and moment video retrieval by Satar, Burak

“…Our approach tackles this challenge for the first time on long, fine-grained, and untrimmed egocentric videos, while existing methodologies target short, coarse-grained, and trimmed third-person videos. …”
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Towards optimal scheduling of deep learning training jobs in GPU clusters by Gao, Wei

“…Second, it reuses the fine-tuning runtime of FMF workloads to reduce the significant context switch overhead. …”
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Laser Beacon Tracking for High-Accuracy Attitude Determination by Nguyen, Tam, Cahoy, Kerri

“…Advances in attitude determination have led to the development of several CubeSat-sized attitude sensors capable of achieving fine attitude knowledge,most of which utilize natural light sources as references, such as in the case of star trackers and sun sensors. …”
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