A fast correction approach to tensor robust principal component analysis by Zhang, Zhechen, Liu, Sanyang, Lin, Zhiping, Xue, Jize, Liu, Lixia

“…To address these issues, a method called fast correction TNN (FC-TNN) is proposed for TRPCA. …”
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Fast MRI Reconstruction : parallel imaging and partial K-space reconstruction by Zhang, Zheng

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Fast visualization of complex 3D models using displacement mapping by Lu, The Kiet

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Fast motion estimation and scene adaptive coding structure for video coding by Nie, Yao.

“…In this thesis, new techniques for fast motion estimation (ME) and scene adaptive video coding are developed.…”
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One-stop measurement model for fast and accurate tensor display characterization by Surman, Phil, Wang, Shizheng, Yuan, Junsong, Zheng, Yuanjin

“…It not only can be used to measure spatial and angular cutoff frequencies, but also can enable comprehensive characterization of the display. This model provides fast, simple measurement with good accuracy. It does not use special equipment or require time-consuming subjective evaluations. …”
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Factors affecting consumer choices : a study on the fast food industry. by Chong, Soo Yi., Liang, Diana Hui Li., Tan, Shylene Li Yuen.

“…A STUDY ON THE FAST FOOD INDUSTRY OF CONSUMER PREFERENCES.…”
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India’s electricity future: change is inevitable - how much, how fast? by Tongia, R

Splatter image: ultra-fast single-view 3D reconstruction by Szymanowicz, S, Rupprecht, C, Vedaldi, A

“…Splatter Image is based on Gaussian Splatting, which allows fast and high-quality reconstruction of 3D scenes from multiple images. …”

Robust and fast microwave-driven quantum logic for trapped-ion qubits by Weber, MA, Gely, MF, Hanley, RK, Harty, TP, Leu, AD, Löschnauer, CM, Nadlinger, DP, Lucas, DM

Types of intermittent fasting and their effects on obesity and type II diabetes mellitus by Shu, Xian Gan, Patricia, Karissa, Yong, Ling Sou, Hui, Ching Low, Teck, Yew Low, Simpson, Timothy, Pei, Paulina Suu Tan, Pey, Yee Lee, Shamsul Mohd Zain, Wickneswari Ratnam

“…Obesity and type II diabetes mellitus affect millions of people both in Malaysia and worldwide due to sedentary lifestyles and unhealthy diets. Intermittent fasting reduces calorie intake by interweaving eating periods with prolonged fasting periods on a recurring basis. …”
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Are customers happy? a study of satisfaction in Sarawak’s fast-food restaurants by Thien, Nancy Swee Yen, Latip, Malisah

“…Fast food restaurants play a significant role in contemporary dining culture, offering convenience and quick service to customers. …”
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A compressible, high frequency numerical model of helicopter noise due to blade/vortex interaction by Lima, Luiz Hamilton de Resende.

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Interaction of aflatoxin B1 with DNA in vivo in the rat and mouse by Croy, Robert George.

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Re-creating the context : the design of a community theater by Crosley, Mark Lauden.

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Predicting drivers’ route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network by Mo, Baichuan, Wang, Qingyi, Guo, Xiaotong, Winkenbach, Matthias, Zhao, Jinhua

“…In last-mile delivery, drivers frequently deviate from planned delivery routes because of their tacit knowledge of the road and curbside infrastructure, customer availability, and other characteristics of the respective service areas. …”
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Developing a taxonomy of consumer preferences for enhancing B2C e-commerce last-mile delivery: delivered food by Teo, Ee Lin

“…Further research can be done to explore alternative last-mile delivery options such as self pick-up from smart lockers.…”
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An investigation of adhesion mechanisms by Yee, Geary Yee.

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Coal nitrogen conversion to NO [subscript x] during simultaneous oxidation and pyrolysis. by Cheng, Irene Teresa.

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FYP student selection and examiner allocation system improvement part 3 by Khant Nyi Nyi

“…The primary focus of the report revolves around the upkeep of FEAS and SSS, the development of the new application, FYP-APP. Lastly, it outlines possible improvements to the systems based on current insights. …”
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A unified multi-task learning architecture for fast and accurate pedestrian detection by Zhou, Chengju, Wu, Meiqing, Lam, Siew-Kei

“…We present a unified multi-task learning architecture for fast and accurate pedestrian detection. Different from existing methods which often focus on either a new loss function or architecture, we propose an improved multi-task convolutional neural network learning architecture to effectively and efficiently interfuse the task of pedestrian detection and semantic segmentation. …”
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