A5013767183- Advanced Neural Network Applications
- Parallel Computing and Optimization Techniques
- Adversarial Robustness in Machine Learning
- Cloud Computing and Resource Management
- Advanced Data Storage Technologies
- Advanced Sensor and Energy Harvesting Materials
- Advanced Malware Detection Techniques
- Software System Performance and Reliability
- Machine Learning and Data Classification
- Topic Modeling
- Parkinson's Disease Mechanisms and Treatments
- Ferroelectric and Negative Capacitance Devices
- Machine Learning in Materials Science
- Explainable Artificial Intelligence (XAI)
- COVID-19 diagnosis using AI
- Distributed and Parallel Computing Systems
- Radio Frequency Integrated Circuit Design
- Anomaly Detection Techniques and Applications
- Microwave Engineering and Waveguides
- Fault Detection and Control Systems
- Dielectric materials and actuators
- Advanced Memory and Neural Computing
- Machine Fault Diagnosis Techniques
- RNA regulation and disease
- Software Testing and Debugging Techniques
South China University of Technology
2023-2025
Nanjing Drum Tower Hospital
2024-2025
Fujian Agriculture and Forestry University
2025
West China Medical Center of Sichuan University
2025
Wenzhou Medical University
2023-2024
Nanchang University
2023-2024
First Affiliated Hospital of Wenzhou Medical University
2024
Hunan University
2023
Shanghai Institute of Technology
2023
University of Electronic Science and Technology of China
2021-2023
Although virtual tourism (VT) has been touted as an effective alternative or transitional solution to tourism, few researches have conducted on how maintain and enhance visitors' satisfaction with it translate positive sentiments into on-site travel intentions. This study proposes a conceptual model under the uses gratifications theory attachment theory. It aims investigate gratification factors that improve tourist of VT determine effect reality (VR), satisfaction, loyalty intention visit...
Fiber-optic sensors are attracting attention because of their high sensitivity, fast response, large capacity-transmission, and anti-electromagnetic interference advantages. Nevertheless, rigid optical fibers inevitably damaged or even fractured in applications involving tensile bending strains (e.g., human body monitoring, soft robotics, biomedical devices) the position fracture is difficult to locate repair. Therefore, optically self-healing fiber-optic highly desirable. Here, we report a...
The MADS-box transcription factor gene family is essential for the differentiation and development of floral organs. Genome-wide transcriptome data from Phoebe bournei provide foundation studying its development. In this study, phylogenetic relationships, protein characteristics, conserved domains, structures, cis-acting elements in promoter regions P. genes were systematically analyzed through bioinformatics methodologies. A total 69 PbMADS identified classified into 15 subfamilies based on...
Earlier-stage evaluations of a new AI architecture/system need affordable benchmarks. Only using few component benchmarks like MLPerf alone in the other stages may lead to misleading conclusions. Moreover, learning dynamics are not well understood, and benchmarks' shelf-life is short. This paper proposes balanced benchmarking methodology. We use real-world cover factors space that impacts most considerable extent. After performing an exhaustive survey on Internet service domains, we identify...
Abstract Elevated neurofilament light chain (NfL) levels have been associated with dementia in idiopathic Parkinson’s disease (iPD). To examine the baseline and longitudinal changes NfL GBA -PD, SNCA LRRK2 -PD further investigate association between these genetic mutations, NfL, PD. We analyzed data from Progression Markers Initiative (PPMI), including 184 healthy controls (HC) 617 PD categorized as iPD ( n = 381), 142), 76) 18). Analysis of covariance (ANCOVA) or linear mixed-effect models...
The advancement of underwater monitoring technologies has been significantly hampered by the limitations traditional electrical sensors, particularly in presence electromagnetic interference and safety concerns aquatic environments. Fiber optic sensors are therefore nowadays widely applied to devices. However, silicon- polymer-based optical fibers often face challenges, such as rigidity, susceptibility environmental stress, limited operational flexibility. Here, we propose an ingenious...
Abstract The double‐network (DN) structure has been proven to be an effective approach enhancing the strength and stretchability of stretchable ionic conductors. However, conventional strategy using a rigid first network encapsulate loose second often suffers from insufficient poor stability in practical applications due presence solvents system or significant compatibility differences between two networks. Therefore, developing ion‐conductive elastomers with minimal strong environmental is...
In recent years, the role of ferroptosis in Parkinson's disease (PD) has become a research hotspot based on evidence abnormal iron deposition and lipid peroxidation damage brains PD patients. This study aims to examine relevant from bibliometric perspective.Original review articles related were retrieved Web Science Core Collection (WOSCC) database. Statistical analysis visualization information including countries, institutions, authors, journals, keywords included studies conducted using R...
In this study, we investigated the influence that pathology of Alzheimer's disease (AD) exerts upon corpus callosum (CC) using a total 325 mild cognitive impairment (MCI) subjects, 155 AD and 185 healthy control (HC) subjects.Regionally-specific morphological CC abnormalities, as induced by AD, were quantified large deformation diffeomorphic metric curve mapping based statistical shape analysis pipeline. We also association between phenotype two measures; Mini Mental State Examination (MMSE)...
It is necessary for clinicians to comprehensively analyze patient information from different sources. Medical image fusion a promising approach providing overall medical images of modalities. However, existing approaches ignore the semantics images, making fused difficult understand. In this work, we propose new evaluation index measure semantic loss image, and put forward Fusion W-Net (FW-Net) multimodal fusion. The experimental results are promising: generated by our greatly reduces loss,...
The recent years witness a trend of applying large-scale distributed deep learning in both business and scientific computing areas, whose goal is to speed up the training time achieve state-of-the-art quality. HPC community feels great interest building AI systems that are dedicated running those workloads. benchmarks accelerate process. Unfortunately, benchmarking at scale raises serious challenges. None previous being equivalent, relevant, representative, affordable, repeatable. This paper...
Learning-based malware detection systems (LB-MDS) play a crucial role in defending computer from malicious attacks. Nevertheless, these can be vulnerable to various attacks, which have significant consequences. Software obfuscation techniques used modify the features of malware, thereby avoiding its classification as by LB-MDS. However, existing portable executable (PE) datasets primarily use single technique, LB-MDS has already learned, leading loss their robustness evaluation ability....
DeepFake is now widely known for forging and fabricating falsified faces. In recent years, forensic researchers have built many algorithms as countermeasures against DeepFake. Albeit the great progress made so far in discerning faces from pristine ones, there are potential new threats to manipulating semantics information of facial images. To combat type disinformation, it necessary investigate them by developing anti-forensics tools semantics. this end, we propose identity-feature-extracted...
Recent years witness a trend of applying large-scale distributed deep learning algorithms (HPC AI) in both business and scientific computing areas, whose goal is to speed up the training time achieve state-of-the-art quality. The HPC AI benchmarks accelerate process. Unfortunately, benchmarking systems at scale raises serious challenges. This paper presents comprehensive methodology that achieves equivalence, representativeness, repeatability, affordability. Among nineteen workloads AIBench...
Abstract Fault prognosis technology, as the key to realize autonomy support and carry out condition-based maintenance (CBM), has been fully developed researched in recent years. In this paper, existing fault prediction methods are briefly summarized studied, focused on data-driven method. light of scale data, all kinds divided into small sample-based large methods. The basic principles, advantages disadvantages each type typical analytical summarized, finally, we put forward research...
In this letter, a simple technique for enhancing the isolation of ridge-gap waveguide (RGW) T-junction power divider is proposed. detail, we have succeeded in improving characteristics normal by factor ~10 (>15-dB), while operation simply introduction an appropriately sized radiation slot its lid. Compactness is, therefore, primary advantage solution, as there no need to use any load terminations. Such quasiplanar configuration means that it can be applied large-scale feeder networks like...