Double exposure time averaged in-line digital holography by Singh, Vijay Raj, Anand, Asundi, Miao, Jianmin

“…Theory, analysis and applications of digital in-line holography are presented for metrological applications. …”
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China's "nine-dash line" claim : US misunderstands by Ye, Qiang, Jiang, Zongqiang

“…It has confused China's "dash-line" claim.…”
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The geometry and matching of lines and curves over multiple views by Schmid, C, Zisserman, A

“…The methods are applicable to line/curve matching in stereo and trinocular rigs, and as a starting point for line/curve matching through monocular image sequences.…”

Planar grouping for automatic detection of vanishing lines and points by Schaffalitzky, F, Zisserman, A

“…Examples of automatically computing groupings, together with their vanishing points and lines, are given for a number of real images.</p>…”

Compressive strength and fire resistance of mortar containing crushed cockle shell as fine aggregate replacement by Hanis Nadiah, Ruslan, Khairunisa, Muthusamy, Mohd Faizal, Md Jaafar, Nabilla, Mohamad, Nur Farah Aziera, Jamaludin

“…Thus, the current study investigates the influence of substitution of crushed cockle shell as a partial fine aggregate on the compressive strength and fire resistance of mortar. …”
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The enduring importance of the “fine cuts” approach to psychology: EPS Mid-Career Award Lecture 2024 by Bird, G

“…In this article, I take a selective review of work undertaken by my colleagues and me in an attempt to show the enduring importance of the “fine cuts” approach to psychology. This approach highlights the importance of causal, specific, and falsifiable psychological models, and the rigorous experimental designs needed to test them. …”

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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