Application of full waveform acoustic logging data to the estimation of reservoir permeability by Mathieu, Frédéric.

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Wireless full-duplex transceiver design with Ziria by Phua, Eugene Joon Kai

“…To enable to research on Ziria capability to the full extend, the hardware and software component to must fit to Ziria workable requirement. …”
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Automatic recognition of type of FEC codes in a robust environment by Khng, Qian Yu

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Data fusion of multi-modal cardivascular signals for clinical diagnosis by Wu, Fang Qian.

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Quantitative imaging using ultrasonic tomography based on full waveform inversion by Rao, Jing

“…FWI can obtain a resolution around 1.5-2 wavelengths from the realistic data compared to 0.7 wavelengths from the idealized case. …”
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Scour below a non-full flowing rectangular culvert outlet by Tan, Bei'er.

“…In this study of scour below a non-full flowing rectangular culvert outlet, experiments were conducted to investigate, understand and predict scour hole formation and its geometry. …”
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Leveraging imperfect restoration for data availability attack by Huang, Yi, Styborski, Jeremy, Lyu, Mingzhi, Wang, Fan, Kong, Adams Wai Kin

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Overlooked effect of negative data on efficiency analysis by Lu, Wen-Min, Kweh, Qian Long, Ting, Irene Wei Kiong

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FullCert: deterministic end-to-end certification for training and inference of neural networks by Lorenz, T, Kwiatkowska, M, Fritz, M

“…Modern machine learning models are sensitive to the manipulation of both the training data (poisoning attacks) and inference data (adversarial examples). …”

Full-field, frequency-domain comparison of simulated and measured human brain deformation by Arani, AHG, Okamoto, RJ, Escarcega, JD, Jerusalem, A, Alshareef, AA, Bayly, PV

“…Traumatic brain injuries (TBIs) are typically caused by skull impact or acceleration, but how skull motion leads to brain deformation and consequent neural injury remains unclear and comparison of model predictions to experimental data remains limited. Magnetic resonance elastography (MRE) provides high-resolution, full-field measurements of dynamic brain deformation induced by harmonic skull motion. …”

Data-efficient modeling for power consumption estimation of quadrotor operations using ensemble learning by Dai, Wei, Zhang, Mingcheng, Low, Kin Huat

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Data analytics of air pollution data by Kam, Jia Hao

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Multi-angle and full-Stokes polarization multispectral images using quarter-wave plate and tunable filter by Fan, A, Xu, T, Teng, G, Wang, X, Xu, C, Zhang, Y, Li, J

“…To overcome these limitations and supplement experimental data, this paper introduces the multi-angle and full-Stokes polarization multispectral images (MAFS-PMI) dataset. …”

Collection and analysis of air pollution data by big data techniques by Qiu, Baoshu

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Preliminary environmental risk consideration for small UAV ground risk mapping by Chung, Han Jie, Mohd Hasrizam Che Man, Sivakumar, Anush Kumar, Low, Kin Huat

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Maximizing the performance of badminton athletes through core strength training: Unlocking their full potential using machine learning (ML) modeling by Ma, Shuzhen, Geok Soh, Kim, Japar, Salimah, Xu, Simao, Zhicheng, Guo

“…The findings emphasize integrating data-driven core strength training tailored for badminton into comprehensive programs can help optimize physical abilities and elevate performance levels. © 2024 The Authors…”
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Data and mobile device protection by Toh, Kok Keong

“…This project aims to develop a mobile application to provide enhanced security and monitoring usage in which the administrator is given full control over the user phone to monitor the movement. …”
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Data for the ‘Orchid Observers’ project by Shuttleworth, S, O’Donnell, J, Lintott, C, Tweddle, J

“…Once the authors’ research papers have been published, a full, cleaned set of the analysed data will be deposited. …”

Environmental, social, and governance and hierarchical network data envelopment analysis firm efficiencies of Japan Airlines' supply chain by Kweh, Qian Long, Ting, Irene Wei Kiong, Asif, Jawad, Lu, Wen-Min

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Privacy preserving data analytics in financial inclusion and crowd computing by Lim, Cheng Lock

“…The second contribution adopts distributed crowd computing to train a logistic regression model with encrypted data and record activities on a blockchain. The generated prediction results are comparable to the predictive model trained using the full data set.…”
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