A5102843024- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced Battery Technologies Research
- Domain Adaptation and Few-Shot Learning
- AI in cancer detection
- Supercapacitor Materials and Fabrication
- Cryptography and Data Security
- Electrodeposition and Electroless Coatings
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Extraction and Separation Processes
- Energy Harvesting in Wireless Networks
- Cloud Data Security Solutions
- Image Retrieval and Classification Techniques
- Corrosion Behavior and Inhibition
- Wireless Power Transfer Systems
- Privacy-Preserving Technologies in Data
- Advanced Neural Network Applications
- Distributed and Parallel Computing Systems
- Statistical Methods and Inference
- High-Voltage Power Transmission Systems
- Text and Document Classification Technologies
- Cardiovascular and Diving-Related Complications
- Medical Image Segmentation Techniques
- Digital Imaging for Blood Diseases
Wuhan University
2023-2025
Northwestern Polytechnical University
2025
University of Science and Technology Beijing
2011-2024
Jiangxi Normal University
2024
Guizhou Normal University
2024
Shantou University
2024
Nanchang University
2024
Zhongyuan University of Technology
2024
Xi’an Jiaotong-Liverpool University
2022-2024
Nanjing Tech University
2023-2024
Psychological research has increasingly recognized the importance of integrating temporal dynamics into its theories, and innovations in longitudinal designs analyses have allowed such theories to be formalized tested. However, psychological researchers may relatively unequipped analyze data, given many characteristics general complexities involved modeling. The current paper introduces time series analysis research, an analytic domain that been essential for understanding predicting...
A novel bismuth–carbon composite, in which bismuth nanoparticles were anchored a nitrogen-doped carbon matrix (Bi@NC), is proposed as anode for high volumetric energy density lithium ion batteries (LIBs). Bi@NC composite was synthesized via carbonization of Zn-containing zeolitic imidazolate (ZIF-8) and replacement Zn with Bi, resulting the N-doped that hierarchically porous Bi nanoparticles. The provides highly electronic conductive network facilitates lithiation/delithiation Bi....
HF-induced performance degradation and DEPP-based strategy for NCA.
Electrochemical impedance spectra (EIS) of Li+ insertion in spinel LixMn2O4 (0 ≤ x 1) were obtained by using a powder microelectrode. A new equivalent circuit, distinguishing the kinetic properties at lithium-rich state (0.5 from lithium-depleted < 0.5), is proposed to simulate experimental EIS. The fitting results are good agreement with results, and parameters for process different inserted states can be circuits as well modified Voigt−FMG circuit Aurbach et al. At state, ions diffuse...
Enhancing the electrode/electrolyte interface stability of high-capacity LiNi0.8Co0.15Al0.05O2 (LNCA) cathode material is urgently required for its application in next-generation lithium-ion battery. Herein, we demonstrate that enhanced interfacial LNCA can be achieved by simply introducing 2 wt % N-allyl-N,N-bis(trimethylsilyl)amine (NNB) electrolyte additive. Electrolyte oxidation reactions and electrode structural destruction are greatly suppressed with NNB additive, leading to improved...
<abstract><p>A multi-objective pedestrian tracking method based on you only look once-v8 (YOLOv8) and the improved simple online real time with a deep association metric (DeepSORT) was proposed purpose of coping issues local occlusion ID dynamic transformation that frequently arise when target pedestrians in complex traffic scenarios. To begin with, order to enhance feature extraction network's capacity learn information busy situations, detector implemented YOLOv8 high level...
Auxiliary diagnosis and monitoring of lung diseases based on ultrasound (LUS) images is important clinical research. A-line one the most common indicators LUS that can offer support for assessment diseases. A traditional detection method mainly relies experienced clinicians, which inefficient cannot meet needs these areas with backward medical level. Therefore, how to realize automatic in image important.In order solve disadvantages methods, accurate detection, provide theoretical...
Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and function, is an effective method for atrial septal defect (ASD) examination. This paper aims to study a deep learning based on ultrasound video assist in ASD diagnosis. We chose four standard views pediatric identify defects; the were as follows: subcostal sagittal view of atrium septum (subSAS), apical four-chamber (A4C), low parasternal (LPS4C), short-axis large artery (PSAX)....
Several calls have recently been issued to the social sciences for enhanced transparency of research processes and rigor in methodological treatment data analytics. We propose use graphical descriptives (GDs) as one mechanism responding both these calls. GDs provide a way visually examine data. They serve quick efficient tools checking distributions, variable relations, potential appropriateness different statistical analyses (e.g., do meet minimum assumptions particular analytic method)....
Carbon-coated SiO is the most promising alternative to graphite anode for improving energy density of currently commercialized lithium-ion batteries but exhibits poor cyclic stability that leaves an unclear mechanism. To address this issue, surface properties commercial carbon-coated silicon monoxide are investigated in a 1.0 M LiPF6–dimethyl carbonate electrolyte with and without ethylene (EC), comparison graphite. Unlike can work well electrolytes EC during initial 30 cycles, suffers...
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization diagnosis of lesions. However, training these models requires a large number manually annotated pixel-level labels, are time-consuming labor-intensive, contrast to image-level labels that easier obtain. It is imperative resolve this problem...