Sampling Signals With a Finite Rate of Innovation on the Sphere by Deslauriers-Gauthier, Samuel, Marziliano, Pina

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Detecting voice disguise from speech variability : analysis of three glottal and vocal tract measures by Amin, Talal B., German, James S., Marziliano, Pina

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The Value of Demand Forecasting in Stochastic Last-Mile Fleet Sizing and Composition Planning by Zinnenlauf, Philipp, Pina-Pardo, Juan C, Winkenbach, Matthias

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Nine voices, one artist : linguistic and acoustic analysis by Marziliano, Pina, German, James Sneed, Amin, Talal B.

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Dual-phase microporous polymer nanofilms by interfacial polymerization for ultrafast molecular separation by Lee, Tae Hoon, Balcik, Marcel, Wu, Wan-Ni, Pinnau, Ingo, Smith, Zachary P

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Automatic segmentation of the choroid in enhanced depth imaging optical coherence tomography images by Tian, Jing, Marziliano, Pina, Baskaran, Mani, Tun, Tin Aung, Aung, Tin

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Enhancing prosthetic control through high-fidelity myoelectric mapping with molecular anchoring technology by Pan, Liang, Wang, Hui, Huang, Pingao, Wu, Xuwei, Tang, Zihan, Jiang, Ying, Ji, Shaobo, Cao, Jinwei, Ji, Baohua, Li, Guanglin, Li, Dechang, Wang, Zhiming, Chen, Xiaodong

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Artificial neural networks solutions for solving differential equations: A focus and example for flow of viscoelastic fluid with microrotation by Abdullah, null, Faye, Ibrahima, Laila Amera, Aziz

“…Physics-informed neural networks (PINN) are an artificial neural network (ANN) approach for solving differential equations. …”
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Learning from nature : experimental observation of mimosa pudica by Zhang, Yi

“…Remarkably, the partial pinna stimulation demonstrated a twofold increase in closing time in comparison to entire pinna stimulation, which implied the stimulation contact area did play a significant part in pinna closing time but had no effect on pinna reopening time. …”
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Data-driven forward and inverse analysis of two-dimensional soil consolidation using physics-informed neural network by Wang, Yu, Shi, Chao, Shi, Jiangwei, Lu, Hu

“…Different random seeds are used to test the robustness of the PINN developed and quantify the associated model uncertainty. …”
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Physics-informed neural network for fast prediction of temperature distributions in cancerous breasts as a potential efficient portable AI-based diagnostic tool by Mukhmetov, Olzhas, Zhao, Yong, Mashekova, Aigerim, Zarikas, Vasilios, Ng, Eddie Yin Kwee, Aidossov, Nurduman

“…This work presents the development of a novel Physics-Informed Neural Network (PINN) method for fast forward simulation of heat transfer through cancerous breast models. …”
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Modeling distance-dependent individual head-related transfer functions in the horizontal plane using frontal projection headphones by Sunder, Kaushik, Gan, Woon-Seng, Tan, Ee-Leng

“…Soc. 61, 989–1000] project the sound directly onto the pinnae from the front, and thus inherently create listener's idiosyncratic pinna cues at the eardrum. …”
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Physics-Informed Deep Learning for Plasma Etch Optimization by Dighamber, Mohit

“…Future work includes utilizing the PINN model in a Bayesian framework to facilitate recipe optimization for the desired etch profile.…”
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Modeling, sampling and reconstruction of EEG signals with seizures by Leena Bhandari.

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Sensor to detect volatile organic compounds emitted by plants by Nivasini

“…The gas sensing performance of the fabricated sensor was tested with the α-pinene VOC. The chemiresistive sensor was fabricated using the 2D Tin+1CnTx class of material from the 2D MXene family. …”
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EEG analysis using the linear canonical transform by Nair, Amrish

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Liver tumor volume estimation by Lu, Rui

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Optimization for real time strategy games by Ng, Heng Khai.

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Telecommunication postage stamps by Tan, Jia Hao

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Denoising ECG signals by Oh, Melissa Kai Zhen

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