Search Results - "Kuang, Dongyang"
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Predicting kinetic triplets using a 1d convolutional neural network
Published in Thermochimica acta (10-11-2018)“…[Display omitted] •A novel convolutional neural network architecture used for predicting kinetic parameters that are not seen in previous research.•Predicting…”
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Attention with kernels for EEG-based emotion classification
Published in Neural computing & applications (01-04-2024)“…A kernel attention module (KAM) is presented for the task of EEG-based emotion classification using neural network based models. In this study, it is shown…”
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SEER-net: Simple EEG-based Recognition network
Published in Biomedical signal processing and control (01-05-2023)“…This paper presents a Simple ElectroEncephalographic-based Recognition Network (SEER-net) utilizing normalized EEG signals directly as input for the purpose of…”
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Dual stream neural networks for brain signal classification
Published in Journal of neural engineering (01-02-2021)“… The primary objective of this work is to develop a neural nework classifier for arbitrary collections of functional neuroimaging signals to be used in…”
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Landmark-based algorithms for group average and pattern recognition
Published in Pattern recognition (01-02-2019)“…•A robust landmark-based algorithm for finding the geometric median (group average) of a group of shapes with heavy outliers is proposed.•The underlying Log…”
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From gram to attention matrices: a monotonicity constrained method for eeg-based emotion classification
Published in Applied intelligence (Dordrecht, Netherlands) (01-09-2023)“…In this work, a parameter efficient attention module is developed for the task of emotion classification as well as improved model interpretability based on…”
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Kinetics and mechanism of CO2 gasification of coal catalyzed by Na2CO3, FeCO3 and Na2CO3–FeCO3
Published in Journal of the Energy Institute (01-06-2020)“…The purpose is to develop a mild catalytic CO2-gasification technology that can promote CO2 utilization and reduce cost in air separation systems with…”
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Solitary Waves and N-Particle Algorithms for a Class of Euler-Poincaré Equations
Published in Studies in applied mathematics (Cambridge) (01-11-2016)“…We study a class of partial differential equations (PDEs) in the family of the so‐called Euler–Poincaré differential systems, with the aim of developing a…”
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Characterization of Powder River Basin coal pyrolysis with cost-effective and environmentally-friendly composite NaFe catalysts in a thermogravimetric analyzer and a fixed-bed reactor
Published in International journal of hydrogen energy (05-04-2018)“…The pyrolysis characteristics of PRB coal with use of NaFe composite catalysts were investigated in a thermogravimetric analyzer and a fixed bed reactor…”
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A particle method for Euler Poincare equation and its applications in analysis of landmark based image templates
Published 2016“…The dissertation starts from studies of the so-called Euler-Poincaré (EP) differential systems. A series of numerical and statistical schemes are developed for…”
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Dissertation -
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KAM -- a Kernel Attention Module for Emotion Classification with EEG Data
Published 21-11-2022“…In: Reyes, M., Henriques Abreu, P., Cardoso, J. (eds) Interpretability of Machine Intelligence in Medical Image Computing. iMIMIC 2022. Lecture Notes in…”
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Interdiffusion in bcc_B2 Ni–Al–Cu alloys at 1 173 K
Published in International journal of materials research (14-07-2016)“…The interdiffusion behavior of bcc_B2 Ni–Al–Cu alloys at 1173 K was experimentally investigated on the basis of six groups of bulk diffusion couples. With the…”
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On Reducing Negative Jacobian Determinant of the Deformation Predicted by Deep Registration Networks
Published 28-06-2019“…Image registration is a fundamental step in medical image analysis. Ideally, the transformation that registers one image to another should be a diffeomorphism…”
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A 1d convolutional network for leaf and time series classification
Published 28-06-2019“…In this paper, a 1d convolutional neural network is designed for classification tasks of plant leaves. This network based classifier is analyzed in two…”
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Emotion Classification from Multi-Channel EEG Signals Using HiSTN: A Hierarchical Graph-based Spatial-Temporal Approach
Published 09-08-2024“…This study introduces a parameter-efficient Hierarchical Spatial Temporal Network (HiSTN) specifically designed for the task of emotion classification using…”
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A Hierarchical Diffusion-Convolutional Network with Node-wise Localization for EEG-NIRS-based Brain-Computer Interface
Published in 2024 12th International Winter Conference on Brain-Computer Interface (BCI) (26-02-2024)“…In this work, we propose a lightweight Hierarchical Node-wise Localized Diffusion-Convolutional Network (HNLDCNet) for motor imagery (MI) and mental arithmetic…”
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Conference Proceeding -
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FAIM -- A ConvNet Method for Unsupervised 3D Medical Image Registration
Published 22-11-2018“…We present a new unsupervised learning algorithm, "FAIM", for 3D medical image registration. With a different architecture than the popular "U-net", the…”
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A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data
Published 13-10-2022“…Lecture Notes in Computer Science, vol 13559. Springer (2022) In this work, a parameter-efficient attention module is presented for emotion classification…”
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A conservation formulation and a numerical algorithm for the double-gyre nonlinear shallow-water model
Published 01-03-2014“…We present a conservation formulation and a numerical algorithm for the reduced-gravity shallow-water equations on a beta plane, subjected to a constant wind…”
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