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.…”

Two-qubit sweet spots for capacitively coupled exchange-only spin qubits by Feng, MengKe, Zaw, Lin Htoo, Koh, Teck Seng

“…We study capacitive coupling between two triple quantum dot spin qubits encoded in the S = 1/2, Sz = −1/2 decoherence-free subspace—the exchange-only (EO) spin qubits. …”
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Representation theoretic interpretation and interpolation properties of inhomogeneous spin q-Whittaker polynomials by Korotkikh, Sergei

“…Using this construction, we are able to prove a Cauchy-type identity for inhomogeneous spin q-Whittaker polynomials in full generality. …”
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Modelling of spintronic terahertz emitters as a function of spin generation and diffusion geometry by Yang, Yingshu, Dal Forno, Stefano, Battiato, Marco

“…In particular, geometry, composition, pump laser frequency, and spin diffusion will be significant in understanding the pathways for further research developments. …”
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Synthesis and electrochemical performance of aluminum antimonide alloy anode prepared by melt spinning by Kharistal, Daniel Julian

“…Another advantage in using melt spinning process is that it can produce materials with high throughput and high purity metal alloy products with little to no impurities, which is beneficial to the battery performance. …”
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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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Spin orbit torques induced magnetization reversal through asymmetric domain wall propagation in Ta/CoFeB/MgO structures by Cao, Jiangwei, Chen, Yifei, Jin, Tianli, Gan, Weiliang, Wang, Ying, Zheng, Yuqiang, Lv, Hua, Cardoso, Susana, Wei, Dan, Lew, Wen Siang

Subjects: “…Spin Orbit Torques…”
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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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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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Entanglement of nitrogen-vacancy-center ensembles with initial squeezing by Pradana, Andri, Chew, Lock Yue

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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

Subjects:

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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Long electron-hole diffusion length in high-quality lead-free double perovskite films by Ning, Weihua, Wang, Feng, Wu, Bo, Lu, Jun, Yan, Zhibo, Liu, Xianjie, Tao, Youtian, Liu, Jun-Ming, Huang, Wei, Fahlman, Mats, Hultman, Lars, Sum, Tze Chien, Gao, Feng

“…These high-quality double perovskite films show long electron-hole diffusion lengths greater than 100 nm, enabling the fabrication of planar structure double perovskite solar cells. …”
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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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Dynamics of the sub-Ohmic spin-boson model : a comparison of three numerical approaches by Yao, Yao, Duan, Liwei, Lü, Zhiguo, Wu, Chang-Qin, Zhao, Yang

“…Dynamics of the sub-Ohmic spin-boson model is examined using three numerical approaches, namely the Dirac-Frenkel time-dependent variation with the Davydov D1 ansatz, the adaptive time-dependent density matrix renormalization group method within the representation of orthogonal polynomials, and a perturbative approach based on a unitary transformation. …”
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Fabrication of PVDF hollow fiber membranes : effects of low-concentration pluronic and spinning conditions by Loh, Chun Heng, Wang, Rong

“…PVDF hollow fiber membranes with PWP of 1180 L/m2 h MPa and MWCO of 5 kDa were obtained when spun with optimized spinning conditions and using 3 wt% of LiCl and 0.2 wt% of Pluronic as the mixed additive. …”
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Nonlinear metasurface for simultaneous control of spin and orbital angular momentum in second harmonic generation by Li, Guixin, Wu, Lin, Li, King F., Chen, Shumei, Schlickriede, Christian, Xu, Zhengji, Huang, Siya, Li, Wendi, Liu, Yanjun, Pun, Edwin Y. B., Zentgraf, Thomas, Cheah, Kok W., Luo, Yu, Zhang, Shuang

“…The spin and orbital angular momentum (SAM and OAM) of light is providing a new gateway toward high capacity and robust optical communications. …”
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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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