Shukai Duan
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View article: Modulation of Amomum tsao-ko on lipid metabolism and gut microbiota in high-fat diet-fed mice with NAFLD
Modulation of Amomum tsao-ko on lipid metabolism and gut microbiota in high-fat diet-fed mice with NAFLD Open
Non-alcoholic fatty liver disease (NAFLD) is strongly associated with obesity and is frequently aggravated by gut microbiota dysbiosis. Amomum tsao-ko (ATK), a traditional medicinal herb, possesses antioxidant and anti-inflammatory activit…
View article: Ultrasound-assisted extraction and flavor quality assessment of in vitro biomimetically fermented Kopi Luwak
Ultrasound-assisted extraction and flavor quality assessment of in vitro biomimetically fermented Kopi Luwak Open
Kopi Luwak, renowned for its distinctive flavor profile, has long been esteemed in specialty coffee circles; however, the conventional animal digestive process is fraught with significant ethical and sustainability controversies. Building …
View article: Temperature dependent pressure model of wet clutch electro-hydraulic actuator
Temperature dependent pressure model of wet clutch electro-hydraulic actuator Open
View article: Synthesis of 1,4-Benzodiazepines via Intramolecular C–N Bond Coupling and Ring Opening of Azetidines
Synthesis of 1,4-Benzodiazepines via Intramolecular C–N Bond Coupling and Ring Opening of Azetidines Open
A facile and efficient synthesis of functionalized 1,4-benzodiazepine derivatives under mild conditions was developed. The CuI/N,N-dimethylglycine-catalyzed intramolecular cross-coupling reaction of 1-(2-bromobenzyl)azetidine-2-carboxamide…
View article: GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration
GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration Open
The Iterative Closest Point (ICP) algorithm suffers from sensitivity to outliers and tendency to local optima in point cloud fine registration. In this paper, we introduce a global and robust ICP framework called Granular-Ball Iterative Cl…
View article: MFFSNet: A Lightweight Multi-Scale Shuffle CNN Network for Wheat Disease Identification in Complex Contexts
MFFSNet: A Lightweight Multi-Scale Shuffle CNN Network for Wheat Disease Identification in Complex Contexts Open
Wheat is one of the most essential food crops globally, but diseases significantly threaten its yield and quality, resulting in considerable economic losses. The identification of wheat diseases faces challenges, such as interference from …
View article: Exploring effects of dietary coffee pericarp addition on growth, meat quality, gut flora in white-feather broilers
Exploring effects of dietary coffee pericarp addition on growth, meat quality, gut flora in white-feather broilers Open
The incorporation of coffee pericarp into poultry diets enhances chicken meat quality by modulating intestinal flora. This study investigates the effects of coffee pericarp on chicken meat quality through an analysis of growth performance,…
View article: Response Mechanism of the Auditory Fithzhugh-Nagumo Neuron
Response Mechanism of the Auditory Fithzhugh-Nagumo Neuron Open
View article: Germination as a Bioprocess Strategies for Concurrent Nutritional Enhancement and Taste Optimization in Coix
Germination as a Bioprocess Strategies for Concurrent Nutritional Enhancement and Taste Optimization in Coix Open
View article: Continuous-Energy Harvesting Device from Soils Based on Reversible Hydrolysis Process
Continuous-Energy Harvesting Device from Soils Based on Reversible Hydrolysis Process Open
View article: Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification
Temporal Information Reconstruction and Non-Aligned Residual in Spiking Neural Networks for Speech Classification Open
Recently, it can be noticed that most models based on spiking neural networks (SNNs) only use a same level temporal resolution to deal with speech classification problems, which makes these models cannot learn the information of input data…
View article: NeuroMoCo: A Neuromorphic Momentum Contrast Learning Method for Spiking Neural Networks
NeuroMoCo: A Neuromorphic Momentum Contrast Learning Method for Spiking Neural Networks Open
Recently, brain-inspired spiking neural networks (SNNs) have attracted great research attention owing to their inherent bio-interpretability, event-triggered properties and powerful perception of spatiotemporal information, which is benefi…
View article: A Structure-Aware Framework for Learning Device Placements on Computation Graphs
A Structure-Aware Framework for Learning Device Placements on Computation Graphs Open
Computation graphs are Directed Acyclic Graphs (DAGs) where the nodes correspond to mathematical operations and are used widely as abstractions in optimizations of neural networks. The device placement problem aims to identify optimal allo…
View article: Time Series Classification Based on Forward Echo State Convolution Network
Time Series Classification Based on Forward Echo State Convolution Network Open
The Echo state network (ESN) is an efficient recurrent neural network that has achieved good results in time series prediction tasks. Still, its application in time series classification tasks has yet to develop fully. In this study, we wo…
View article: Position adaptive residual block and knowledge complement strategy for point cloud analysis
Position adaptive residual block and knowledge complement strategy for point cloud analysis Open
Due to the sparsity, irregularity and disorder of the point cloud, the tasks related to it are full of challenges. Exploring local geometric patterns and multi-scale features is effective for point cloud understanding, and promising result…
View article: NNICE 2024 TOC
NNICE 2024 TOC Open
View article: A Novel Method for Few-Shot Problem of Gas Concentration Prediction Based on Wavelet Kernel-Based Broad Learning System
A Novel Method for Few-Shot Problem of Gas Concentration Prediction Based on Wavelet Kernel-Based Broad Learning System Open
View article: A Pyramid Auxiliary Supervised U-Net Model for Road Crack Detection with Dual-Attention Mechanism
A Pyramid Auxiliary Supervised U-Net Model for Road Crack Detection with Dual-Attention Mechanism Open
View article: High-Performance Convolutional Neural Network Emulation Via Fpga-Integrated Memristive Circuitry
High-Performance Convolutional Neural Network Emulation Via Fpga-Integrated Memristive Circuitry Open
View article: Full hardware implementation of neuromorphic visual system based on multimodal optoelectronic resistive memory arrays for versatile image processing
Full hardware implementation of neuromorphic visual system based on multimodal optoelectronic resistive memory arrays for versatile image processing Open
In-sensor and near-sensor computing are becoming the next-generation computing paradigm for high-density and low-power sensory processing. To fulfil a high-density and efficient neuromorphic visual system with fully hierarchical emulation …
View article: PerfRL: A Small Language Model Framework for Efficient Code Optimization
PerfRL: A Small Language Model Framework for Efficient Code Optimization Open
Code optimization is a challenging task requiring a substantial level of expertise from developers. Nonetheless, this level of human capacity is not sufficient considering the rapid evolution of new hardware architectures and software envi…
View article: Memristive patch attention neural network for facial expression recognition and edge computing
Memristive patch attention neural network for facial expression recognition and edge computing Open
View article: Multi-ring julia fractal chaotic systems with separated scrolls and nested scrolls
Multi-ring julia fractal chaotic systems with separated scrolls and nested scrolls Open
Chaos and fractals are two branches of nonlinear science. However, few scholars have combined chaos and fractals for generating chaotic attractors with different topologies. The main goal of this paper is to combine fractals and chaos to g…
View article: Generative complex networks within a dynamic memristor with intrinsic variability
Generative complex networks within a dynamic memristor with intrinsic variability Open
Artificial neural networks (ANNs) have gained considerable momentum in the past decade. Although at first the main task of the ANN paradigm was to tune the connection weights in fixed-architecture networks, there has recently been growing …
View article: Fully chaotic medical image encryption scheme based on dynamic DNA and block rotation
Fully chaotic medical image encryption scheme based on dynamic DNA and block rotation Open
As an important application of image encryption, digital medical image encryption plays an important role in the field of medical health and privacy protection. This paper put forwards a fully chaotic and strongly plaintext associated imag…
View article: Cognitive reappraisal and corresponding neural basis mediate the association between childhood maltreatment and depression
Cognitive reappraisal and corresponding neural basis mediate the association between childhood maltreatment and depression Open
Background Childhood maltreatment is considered as a robust predictor of depression. However, the underlying psychological and neurological mechanisms linking childhood maltreatment and depression remain poorly understood. Sufficient evide…
View article: A progressive surrogate gradient learning for memristive spiking neural network
A progressive surrogate gradient learning for memristive spiking neural network Open
In recent years, spiking neural networks (SNNs) have received increasing attention of research in the field of artificial intelligence due to their high biological plausibility, low energy consumption, and abundant spatio-temporal informat…
View article: Lightweight Spiking Neural Network Training Based on Spike Timing Dependent Backpropagation
Lightweight Spiking Neural Network Training Based on Spike Timing Dependent Backpropagation Open
View article: A Global Self-Attention Memristive Neural Network for Image Restoration
A Global Self-Attention Memristive Neural Network for Image Restoration Open
View article: Design and Implementation of A Portable Electronic Nose System Based on Lightweight Convolutional Neural Network
Design and Implementation of A Portable Electronic Nose System Based on Lightweight Convolutional Neural Network Open