Spherical mask: coarse-to-fine 3D point cloud instance segmentation with spherical representation by Shin, S, Zhou, K, Vankadari, M, Markham, A, Trigoni, N

“…Coarse-to-fine 3D instance segmentation methods show weak performances compared to recent Grouping-based, Kernel-based and Transformer-based methods. …”

Long memory estimation of stochastic volatility for index prices / by Kho, Chia Chen, 1988-, author 615295, Arifah Bahar, supervisor 199532, Ting Chee Ming, supervisor 637256, Haliza Abd. Rahman, 1971-, supervisor 542341, Fakulti Sains 8004

Long memory estimation of stochastic volatility for index prices / by Kho, Chia Chen, 1988-, author 615295

Limits and prospects for long-baseline optical fiber interferometry by Hilweg, Christopher, Shadmany, Danial, Walther, Philip, Mavalvala, Nergis, Sudhir, Vivishek

“…Today’s most precise optical instruments—gravitational-wave interferometers and optical atomic clocks—rely on long storage times for photons to realize their exquisite sensitivity. …”
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Long-lived particle reconstruction downstream of the LHCb magnet by LHCb collaboration

“…The challenges of the reconstruction of long-lived particles with T tracks for physics use are discussed and solutions are proposed. …”
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Dilute antimonide nitride for long wavelength infrared photodetection by Chen, X. Z., Jin, Y. J., Zhang, D. H.

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Aeroelastic analysis of super long cable-supported bridges by Zhang, Xin

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Competitive cloud pricing for long-term revenue maximization by Rong, Jiang, Qin, Tao, An, Bo

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Person re-identification for long term outfit problem by Wei, Zilai

“…This dissertation proposes a long-term clothing-changing person re-identification (Re-ID) method, which addresses the challenge of identifying individuals who usually change their clothing over long periods of time. …”
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Generative AI disproportionately harms long tail users by Maung, BM, McBride, K, Lucas, JS, Tabar, M, Lee, D

“…Generative AI’s (GenAI’s) risks can be amplified in “long tail” populations and regions. We recommend strategies to mitigate these risks and conclude by calling for a more nuanced and global dialog on GenAI safety.…”

An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

“…The second model, the greedy-soup-based model, uses a greedy soup technique based on the fusion of multiple fine-tuned models to set the model parameters. The greedy soup selects the model parameters by fusing the model parameters that have significant performance on the validation accuracy in training. …”
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Evaluating Adaptive Layer Freezing through Hyperparameter Optimization for Enhanced Fine-Tuning Performance of Language Models by Figueroa, Reinaldo

“…When dealing with data scarcity, transfer learning has become the go-to method to use these models in specialized downstream tasks via fine-tuning. However, fine-tuning on small datasets can lead to overfitting and a lack of generalization. …”
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EyeTrAES: Fine-grained, Low-Latency Eye Tracking via Adaptive Event Slicing by Sen, Argha, Bandara, Nuwan, Gokarn, Ila, Kandappu, Thivya, Misra, Archan

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Fine-tuning selective layer architecture of hydrogel membrane towards high separation performances for engineered osmosis by Qin, Detao, Liu, Zhaoyang, Bai, Hongwei, Song, Xiaoxiao, Li, Zhengtao, Sun, Darren Delai

“…Towards this goal, the architecture of hydrogel selective layer is finely tuned for the first time for improving engineered osmosis (EO) membrane performance. …”
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Work motivation and it effect on desire for continued employment among older worker in UTM / by Wu, Huan, 1990-, author 608570, Ishak Mad Shah, supervisor 599832, Fakulti Pengurusan 538641

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Work motivation and it effect on desire for continued employment among older worker in UTM / by Wu, Huan, 1990-, author 608570

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Empirical stairwell propagation models for long term evolution applications / by Omar Abdul Aziz, 1983-, author 371298, Tharek Abd. Rahman, supervisor 622216, Fakulti Kejuruteraan Elektrik 540663

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The implementation of long-short term memory for tourism industry in Malaysia by Siti Aishah Tsamienah, Taib, Noratikah, Abu, Azlyna, Senawi, Kendrick Go, Clark

“…This study focuses on tourism demand forecasting based on the number of tourist arrival using recurrent neural network (RNN), which is long-short term memory (LSTM) model. The data used in this study is historical data of number of tourist arrivals in Malaysia before the onset of Movement Control Order (MCO) starting from January 2000 to February 2020 due to the COVID-19 outbreak. …”
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Preferences of Persons With or at Risk for Hepatitis C for Long-Acting Treatments by Weld, Ethel D, Astemborski, Jacqueline, Kirk, Gregory D, Sulkowski, Mark S, Katz, Stephanie, Rothman, Richard, Solomon, Sunil S, Matthews, Gail V, Hsieh, Yu Hsiang, Verma, Malvika, Traverso, Giovanni, Swindells, Susan, Owen, Andrew, Feld, Jordan, Flexner, Charles, Mehta, Shruti H, Thomas, David L

“…We sought to understand the acceptability of approaches to long-acting HCV treatment. Methods A cross-sectional, 43-question survey was administered to 1457 individuals with or at risk of HCV at 28 sites in 9 countries to assess comparative interest in a variety of long-acting strategies in comparison with oral pills. …”
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Study of long-range dispersion for Cesium-137 in Southeast Asia by Soh, Rachel Li Yi

“…The nuclear crisis in 2011 at Fukushima Daiichi Nuclear Power Plant (NPP) has brought greater awareness to safety issues of NPP. Long half-life radionuclides can be transported in the atmosphere and across oceans for long distances, which can exceed thousands of kilometers and allow effects of radioactive fallout to be more widespread. …”
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