Forecasting green sea turtle (Chelonia mydas) landing in Sarawak using grey model by Abang Mohammad Hudzaifah Abang Shakawi, Ani Shabri, Ruhana Hassan

“…Using data from 1949 to 2016, GM (1,1) was found to be the most suitable model for the given dataset, exhibiting the lowest Root Mean Square Error (RMSE) and Mean Absolute Error (MAE) as compared to other statistical models such as Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) and Exponential Smoothing. …”
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Effect of low temperature blanching, cysteine-HCI, N-acetyl-L-cysteine, Na metabisulphite and drying temperatures on the firmness and nutrient content of dried carrots by Mohamed, Suhaila, Hussein, Rosli

“…Low temperature long time (LTLT) blanching (70C for 20 min) together with calcium treatment can be used to significantly improve the texture of rehydrated dried carrots when compared to high temperature short time (HTST) blanching (100C for 3 min). …”

Mobility patterns are associated with experienced income segregation in large US cities by Moro, Esteban, Calacci, Dan, Dong, Xiaowen, Pentland, Alex

“…To further understand these fine-grained income segregation patterns, we introduce a Schelling extension of a well-known mobility model, and show that experienced income segregation is associated with an individual’s tendency to explore new places (place exploration) as well as places with visitors from different income groups (social exploration). …”
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Enhancing Roll Form Bending Processes through Experimentation and Informed Predictive Analysis: A Strategic Approach to Optimize Tooling by Kompella, Sarvagnya

“…Stress and strain analyses demonstrated how operational factors, such as roll settings, influence section shapes and angles, facilitating the fine-tuning of roll forming station parameters. Using a Design of Experiments (DOE) framework, the study pinpointed critical factors to improve simulation accuracy and optimize roll forming settings. …”
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Exploiting irregular parallelism to accelerate FPGA routing by Zhu, Alan Y.

“…This parallelism can be exploited on parallel architectures that provide hardware support for ordered tasks and fine-grained speculation, such as the Swarm architecture. …”
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Temporal perturbation of ERK dynamics reveals network architecture of FGF2/MAPK signaling by Blum, Yannick, Mikelson, Jan, Dobrzyński, Maciej, Ryu, Hyunryul, Jacques, Marc‐Antoine, Jeon, Noo L., Khammash, Mustafa, Pertz, Olivier

“…Our results provide novel insights into how different receptor tyrosine kinase (RTK) systems differentially wire the MAPK network to fine‐tune fate decisions at the cell population level.…”
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A guide to being the elephant in the room : a study on the residual behaviours stemming from bodyweight stigma by Jayakumar Sandhya Pillai

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Generating domain-specific paraphrases of questions from FAQ by Ng, Jing Rui

“…Firstly, T5 is used to fine-tune on the paraphrase dataset for the task of paraphrase generation. …”
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Mu (em-power-you) : a jewelry brand inspired by the stories of different communities by Cho, Cecilia Hyunjae

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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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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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