A high-performance linear motor drive for robotics by Ng, Jeremy Yi Long

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Narrowband enhancement of speech using linear Cepstral prediction by Shree Jaisimha.

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Boundary element method for non-linear heat conduction by Tan, Yuyan

“…The heat conduction equation become non-linear, making it harder to solve analytically, as such numerical method are usually used. …”
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Output regulation of linear heterogeneous multi-agent systems by Adib Yaghmaie, Farnaz

“…In this thesis, we address output regulation of linear heterogeneous multi-agent systems and use a general model which accounts for heterogeneity of the agents and an arbitrarily finite number of inputs and outputs. …”
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Linear motor control of headset position for disabled people by Leong, Melissa Sze En

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Minoan Linguistic Resources: The Linear A Digital Corpus by Petrolito, Tommaso, Petrolito, Ruggero, Winterstein, Grégoire, Perono Cacciafoco, Francesco

“…This paper describes the Linear A/Minoan digital corpus and the approaches we applied to develop it. …”
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Semidefinite programming and linear equations vs. homomorphism problems by Ciardo, L, Zivny, S

“…We introduce a relaxation for homomorphism problems that combines semidefinite programming with linear Diophantine equations, and propose a framework for the analysis of its power based on the spectral theory of association schemes. …”

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. …”

Long-term fine particulate matter exposure on lung cancer incidence and mortality in Chinese nonsmokers by Chen, Z, Meng, X, Han, Y, Mou, Y, Ji, C, Zhu, X, Yu, C, Sun, D, Yang, L, Sun, Q, Chen, Y, Du, H, Dai, J, Hu, Z, Lv, J, Jin, G, Ma, H, Kan, H, Li, L, Shen, H

“…<p><strong>Rationale:</strong> The association between fine particulate matter (PM_2.5) and lung cancer incidence in non-smokers (LCINS) remains inconsistent. …”

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. …”

Investigating the role of psychological needs in predicting the educational sustainability of Metaverse using a deep learning-based hybrid SEM-ANN technique by Arpaci, Ibrahim, Bahari, Mahadi

“…Further, deep ANN models indicated that hedonic motivation was the most important input factor, followed by autonomy, affiliation, dominance, and achievement. …”

Advanced mathematical methods / by Ostaszewski, Adam, author 656193

Subjects: “…Algebras, Linear…”

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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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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An achievable region for double-unicast networks with linear network coding by Zeng, Yong, Ho, Tracey, Guan, Yong Liang, Xu, Xiaoli

“…For the particular class of linear deterministic interference channels of our interest, in which the outputs and interference are linear deterministic functions of the inputs, we show that the known capacity region can be achieved by linear strategies. …”
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Linear A libation tables : a semitic connection explored by Eu Min, Niki Cassandra, Perono Cacciafoco, Francesco, Cavallaro, Francesco Paolo

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Time-inconsistent stochastic linear-quadratic control in continuous time by Song, Wan Jing

“…Specifically, this study examines the application of the framework on a class of general linear-quadratic control problems. This class of linear-quadratic control problems contains an interaction term between present state and expectations— which is one of the ways of generating state dependency. …”
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