A5047146848- Advanced Memory and Neural Computing
- Neural Networks Stability and Synchronization
- stochastic dynamics and bifurcation
- Machine Fault Diagnosis Techniques
- Advancements in Battery Materials
- Radioactive element chemistry and processing
- Metal-Organic Frameworks: Synthesis and Applications
- Advanced Battery Materials and Technologies
- Fault Detection and Control Systems
- Tensor decomposition and applications
- DNA and Biological Computing
- Modular Robots and Swarm Intelligence
- Privacy-Preserving Technologies in Data
- Advanced Optical Imaging Technologies
- Matrix Theory and Algorithms
- Supercapacitor Materials and Fabrication
- Anomaly Detection Techniques and Applications
- Robot Manipulation and Learning
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Covalent Organic Framework Applications
- Advanced Vision and Imaging
- Nonlinear Dynamics and Pattern Formation
- Image and Signal Denoising Methods
- Advanced Image Fusion Techniques
University of Electronic Science and Technology of China
2017-2024
Northwestern Polytechnical University
2024
Zhejiang University
2023-2024
The University of Texas at Arlington
2024
University of Nevada, Reno
2021-2024
Wuhan Institute of Technology
2024
Guilin University of Technology
2024
Henan University of Technology
2024
Harbin Institute of Technology
2024
State Key Laboratory of Pollution Control and Resource Reuse
2023
Metal-organic frameworks (MOFs) based on zirconium phosphonates exhibit superior chemical stability suitable for applications under harsh conditions. These compounds mostly exist as poorly crystallized precipitates, and precise structural information has therefore remained elusive. Furthermore, a zero-dimensional phosphonate cluster acting secondary building unit been lacking, leading to poor designability in this system. Herein, we overcome these challenges obtain single crystals of three...
Although comprehensive progress has been made in the area of coordination polymer (CP)/metal–organic framework (MOF)-based proton-conducting materials over past decade, searching for a CP/MOF with stable, intrinsic, high anhydrous proton conductivity that can be directly used as practical electrolyte an intermediate-temperature proton-exchange membrane fuel cell assembly durable power generation remains substantial challenge. Here, we introduce new CP, (NH4)3[Zr(H2/3PO4)3] (ZrP), which...
Privacy protection as a major concern of the industrial big data enabling entities makes massive safety-critical operation wind turbine unable to exert its great value because threat privacy leakage. How improve diagnostic accuracy decentralized machines without transfer remains an open issue; especially these are almost accompanied by skewed class distribution in real industries. In this study, class-imbalanced privacy-preserving federated learning framework for fault diagnosis is proposed....
The integration of artificial intelligence (AI) in healthcare has led to the development intelligent auxiliary diagnosis systems, enhancing diagnostic capabilities across various medical domains. These AI-assisted systems leverage deep learning algorithms aid professionals disease screening, localization focal areas, and treatment plan selection. With policies emphasizing innovation AI technology, particularly China, have emerged as valuable tools improving accuracy efficiency. categorized...
Recent advances in high speed rails (HSRs) are propelling the need for acceptable network service mobility environments. However, previous studies show that performance of traditional single-path transmission degrades significantly during due to frequent handoff. Multi-path with multiple carriers is a promising way enhance performance, because at any time, there possibly least one path not suffering In this paper, first we measure multi-path TCP (MPTCP) two cellular on HSRs peak 310km/h. We...
Activation functions facilitate deep neural networks by introducing non-linearity to the learning process. The feature gives network ability learn complex patterns. Recently, most widely used activation function is Rectified Linear Unit (ReLU). Though, other various existing including hand-designed alternatives ReLU have been proposed. However, none has succeeded in replacing due their inconsistencies. In this work, called ReLUMemristor-like Function (RMAF) proposed leverage benefits of...
Robotic grasping has become increasingly important in many application areas such as industrial manufacturing and logistics. Because of the diversity uncertainty objects environments, common grippers with one single mode face difficulties to fulfill all tasks. Hence, we proposed a soft gripper multiple modes this study. The consists four modular fingers integrated layer jamming structure tendon-driven mechanism. Each finger's rotating shaft base uses torsional spring decouple bending...
Open AccessCCS ChemistryCOMMUNICATION1 Jun 2019Persistent Superprotonic Conductivity in the Order of 10−1 S·cm−1 Achieved Through Thermally Induced Structural Transformation a Uranyl Coordination Polymer Daxiang Gui, Wanchun Duan, Jie Shu, Fuwan Zhai, Ning Wang, Xiangxiang Jian Xie, Hui Li, Lanhua Chen, Juan Diwu, Zhifang Chai and Shuao Wang* Gui State Key Laboratory Radiation Medicine Protection, School for Radiological Interdisciplinary Sciences (RAD-X) Collaborative Innovation Center...
Abstract This paper proposes a new dual horizontal squash capsule network (DHS‐CapsNet) to classify the lung and colon cancers on histopathological images. DHS‐CapsNet is made up of encoder feature fusion (EFF) novel (HSquash) function. The EFF aggregates extracted from 2‐lane convolutional layers, which provides rich information for better accuracy. HSquash proposed as function ensure that vectors are effectively squashed produces sparsity high discriminative extract important images with...
DNA has emerged as an appealing material for information storage due to its great density and durability. Random reading rewriting are essential tasks practical large-scale data storage. However, they currently difficult implement simultaneously in a single DNA-based system, strongly limiting their practicability. Here, "Cell Disk" system is presented, achieving high-density vivo that enables both random rewriting. In this each yeast cell used chamber store information, similar "disk block"...
This article investigates the problem of robust exponential stability fuzzy switched memristive inertial neural networks (FSMINNs) with time-varying delays on mode-dependent destabilizing impulsive control protocol. The model presented here is treated as a system rather than employing theory differential inclusion and set-value map. To optimize exponentially stable process reduce cost time, hybrid adaptive feedback controllers are simultaneously applied to stabilize FSMINNs. In new model,...
This article investigates the heterogeneous impulsive synchronization for T-S fuzzy probabilistic coupled delayed neural networks (CDNNs) with mode-dependent parameters and piecewise membership functions. To begin with, a novel CDNNs model adjustable coupling strength delays is designed to ensure accuracy of model. Meanwhile, generalized isolated node four types mismatched parameters, named network, first considered extend problem. Then, rules are introduced design model, which implies that...
Vibration sensor data from a mechanical system are often associated with important measurement information useful for machinery fault diagnosis. However, in practice the existence of background noise makes it difficult to identify signature sensing data. This paper introduces time-frequency manifold (TFM) concept into denoising and proposes novel method reliable The TFM reflects intrinsic structure non-stationary signal. proposed intends realize by synthesizing using synthesis phase space...