Zeming Fan
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View article: Emerging nanoparticles that target and eliminate cancer stem cells
Emerging nanoparticles that target and eliminate cancer stem cells Open
Cancer stem cells (CSCs), a distinct subpopulation within tumors possessing self-renewal and multilineage differentiation capacities, represent the pivotal drivers of therapeutic resistance, tumor recurrence, and metastatic dissemination. …
View article: BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding
BCINetV1: Integrating Temporal and Spectral Focus Through a Novel Convolutional Attention Architecture for MI EEG Decoding Open
Motor imagery (MI) electroencephalograms (EEGs) are pivotal cortical potentials reflecting cortical activity during imagined motor actions, widely leveraged for brain-computer interface (BCI) system development. However, effectively decodi…
View article: Enhanced superelasticity and notable elastocaloric effect of Cu71Al17.5Mn11.5 shape memory alloys by laser-based powder bed fusion
Enhanced superelasticity and notable elastocaloric effect of Cu71Al17.5Mn11.5 shape memory alloys by laser-based powder bed fusion Open
Cu-based shape memory alloys (SMAs) with highly oriented columnar grains and high densities are promising candidates for solid-state refrigeration. In this work, the Cu71Al17.5Mn11.5 alloys with a strong 〈001〉 texture columnar grains and a…
View article: An IK Heuristic Method for Wheel-Tracked Humanoid Robots with Omnidirectional Mobile Base
An IK Heuristic Method for Wheel-Tracked Humanoid Robots with Omnidirectional Mobile Base Open
Due to the high redundancy of robots, it is complex and challenging to solve the inverse kinematics. This paper presents a heuristic algorithm for inverse kinematics of wheel-tracked humanoid robots with an omnidirectional moving base in 3…
View article: Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image
Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image Open
Optical coherence tomography (OCT) inevitably suffers from the influence of speckles originating from multiple scattered photons owing to its low-coherence interferometry property. Although various deep learning schemes have been proposed …
View article: Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography images
Multiscale denoising generative adversarial network for speckle reduction in optical coherence tomography images Open
Results demonstrate that MDGAN is effective and robust for OCT image speckle reductions and outperforms the best state-of-the-art denoising methods in different cases. It could help alleviate the influence of speckles in OCT images and imp…
View article: PRRT: An Intelligent Planning Algorithm with Memory
PRRT: An Intelligent Planning Algorithm with Memory Open
This paper proposes a practically executable path planning method, namely, Pheromones-RRT(PRRT), for robots with a large joint range in a complex environment. To inter-activate with the real world, the point cloud is utilized as the scene …
View article: Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients
Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients Open
Due to the rapid spread of COVID-19 and its induced death worldwide, it is imperative to develop a reliable tool for the early detection of this disease. Chest X-ray is currently accepted to be one of the reliable means for such a detectio…
View article: An Integrated Decoupling Device for Azimuth Control of a Balloon-Borne Gondola
An Integrated Decoupling Device for Azimuth Control of a Balloon-Borne Gondola Open
Controlling and maintaining the orientation of the balloon-borne gondola for high-altitude flight is a prerequisite for ensuring the pointing control of observation instruments. When the balloon-borne gondola is flying in the stratosphere …
View article: A Time-Delay-Bounded Data Scheduling Algorithm for Delay Reduction in Distributed Networked Control Systems
A Time-Delay-Bounded Data Scheduling Algorithm for Delay Reduction in Distributed Networked Control Systems Open
As a key feature of networked control systems (NCSs), the time delays induced by communication medium sharing and data exchange over the system components could largely degrade the NCS performances or may even cause system instability, and…
View article: A Robust Adaptive CMAC Neural Network-Based Multisliding Mode Control Method for Unmatched Uncertain Nonlinear Systems
A Robust Adaptive CMAC Neural Network-Based Multisliding Mode Control Method for Unmatched Uncertain Nonlinear Systems Open
This paper proposes a new robust adaptive cerebellar model articulation controller (CMAC) neural network-based multisliding mode control strategy for a class of unmatched uncertain nonlinear systems. Specifically, by employing a stepwise r…
View article: Positioning, Navigation, and Book Accessing/Returning in an Autonomous Library Robot using Integrated Binocular Vision and QR Code Identification Systems
Positioning, Navigation, and Book Accessing/Returning in an Autonomous Library Robot using Integrated Binocular Vision and QR Code Identification Systems Open
With rapid advancements in artificial intelligence and mobile robots, some of the tedious yet simple jobs in modern libraries, like book accessing and returning (BAR) operations that had been fulfilled manually before, could be undertaken …
View article: Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform
Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform Open
As one of the key techniques determining the overall system performances, efficient and reliable algorithms for improving the classification accuracy of motor imagery (MI) based electroencephalography (EEG) signals are highly desired for t…
View article: Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces
Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces Open
The robustness and computational load are the key challenges in motor imagery (MI) based on electroencephalography (EEG) signals to decode for the development of practical brain-computer interface (BCI) systems. In this study, we propose a…
View article: Multiscale skin imaging<i>in vivo</i>using optical coherence tomography
Multiscale skin imaging<i>in vivo</i>using optical coherence tomography Open
Optical coherence tomography (OCT) is a noninvasive high-resolution diagnostic imaging modality that plays an increasingly important role in dermatology. Diagnosis of skin diseases using OCT requires both cellular-level high resolution and…
View article: Ultra-low temperature silicon nitride photonic integration platform
Ultra-low temperature silicon nitride photonic integration platform Open
High-quality SiNx films with controllable low stress and low optical loss are deposited at ultra-low temperature (75 °C) using inductively coupled plasma chemical vapor deposition (ICP-CVD). Two kinds of integrated photonic structures have…