Search Results - "Du, Shengzhi"
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A novel method to reduce the motor imagery BCI illiteracy
Published in Medical & biological engineering & computing (01-11-2021)“…To reduce the motor imagery brain-computer interface (MI-BCI) illiteracy phenomenon and improve the classification accuracy, this paper proposed a novel method…”
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A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks
Published in Sensors (Basel, Switzerland) (15-09-2024)“…Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitation medicine as well as cognitive neuroscience…”
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Niching particle swarm optimization based on Euclidean distance and hierarchical clustering for multimodal optimization
Published in Nonlinear dynamics (01-02-2020)“…Multimodal optimization is still one of the most challenging tasks in the evolutionary computation field, when multiple global and local optima need to be…”
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A Review on Haptic Bilateral Teleoperation Systems
Published in Journal of intelligent & robotic systems (2022)“…In the haptic human-robot interaction systems, stability and transparency factors are critical but conflicting with one another. Ensuring safety and accuracy…”
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OMNIVIL-An Autonomous Mobile Manipulator for Flexible Production
Published in Sensors (Basel, Switzerland) (17-12-2020)“…Flexible production is a key element in modern industrial manufacturing. Autonomous mobile manipulators can be used to execute various tasks: from logistics,…”
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Instance Segmentation Based on Improved Self-Adaptive Normalization
Published in Sensors (Basel, Switzerland) (10-06-2022)“…The single batch normalization (BN) method is commonly used in the instance segmentation algorithms. The batch size is concerned with some drawbacks. A too…”
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Design of a Multi-Robot System for Wind Turbine Maintenance
Published in Energies (Basel) (01-05-2020)“…The maintenance of wind turbines is of growing importance considering the transition to renewable energy. This paper presents a multi-robot-approach for…”
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Vision Transformers for Anomaly Detection and Localisation in Leather Surface Defect Classification Based on Low-Resolution Images and a Small Dataset
Published in Applied sciences (01-08-2023)“…Genuine leather manufacturing is a multibillion-dollar industry that processes animal hides from varying types of animals such as sheep, alligator, goat,…”
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A Method to Enhance Web Service Clustering by Integrating Label-Enhanced Functional Semantics and Service Collaboration
Published in IEEE access (2024)“…In Web service clustering, the service function vector (SFV) directly determines the quality of service (QoS) clustering. To improve service clustering…”
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Introducing chaos behavior to kernel relevance vector machine (RVM) for four-class EEG classification
Published in PloS one (29-06-2018)“…This paper addresses a chaos kernel function for the relevance vector machine (RVM) in EEG signal classification, which is an important component of…”
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Severity Classification of Parkinson’s Disease Based on Permutation-Variable Importance and Persistent Entropy
Published in Applied sciences (01-02-2021)“…Parkinson’s disease (PD) is a neurodegenerative disease that causes chronic and progressive motor dysfunction. As PD progresses, patients show different…”
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Attribute-Enhanced Capsule Network for Pulmonary Nodule Classification
Published in Journal of medical and biological engineering (01-02-2024)“…Purpose Most pulmonary nodule classification methods solely rely on nodule images without considering the corresponding attribute information. Additionally,…”
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Modeling, Synchronization, and FPGA Implementation of Hamiltonian Conservative Hyperchaos
Published in Complexity (New York, N.Y.) (2020)“…Conservative chaotic systems have potentials in engineering application because of their superiority over the dissipative systems in terms of ergodicity and…”
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Comparison of Domain Selection Methods for Multi-Source Manifold Feature Transfer Learning in Electroencephalogram Classification
Published in Applied sciences (01-03-2024)“…Transfer learning (TL) utilizes knowledge from the source domain (SD) to enhance the classification rate in the target domain (TD). It has been widely used to…”
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Statistical Evaluation of Factors Influencing Inter-Session and Inter-Subject Variability in EEG-Based Brain Computer Interface
Published in IEEE access (2022)“…A cognitive alteration in the form of diverse mental states has a significant impact on the performance of electroencephalography (EEG) based brain computer…”
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Multi-Class Transfer Learning and Domain Selection for Cross-Subject EEG Classification
Published in Applied sciences (01-04-2023)“…Transfer learning (TL) has been proven to be one of the most significant techniques for cross-subject classification in electroencephalogram (EEG)-based…”
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The Sense of Agency in Human–Machine Interaction Systems
Published in Applied sciences (01-08-2024)“…Human–Machine Interaction (HMI) systems are integral to various domains and rely on human operators for effective performance. The sense of agency (SoA) is…”
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Moving vehicle tracking based on improved tracking–learning–detection algorithm
Published in IET computer vision (01-12-2019)“…This study addresses the tracking–learning–detection (TLD) algorithm for long‐term single‐target tracking of moving vehicle from video streams. The problems…”
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A Survey of Pressure Control Approaches in Water Supply Systems
Published in Water (Basel) (01-06-2020)“…Pressure control in water distribution networks (WDNs) provides an avenue for improving both their sustainability and reliability. The complexities of the…”
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Infrared target extraction based on immune extension neural network
Published in IEEE access (01-01-2020)“…This paper addresses the difficulties of target extraction from low contrast low resolution infrared images. The extension neural network is integrated with…”
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