A5054236046- Image Enhancement Techniques
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Advanced Text Analysis Techniques
- Image and Signal Denoising Methods
- Emergency and Acute Care Studies
- RNA modifications and cancer
- Text and Document Classification Technologies
- Cardiac Arrest and Resuscitation
- Sparse and Compressive Sensing Techniques
- Family and Patient Care in Intensive Care Units
- Soft Robotics and Applications
- Robot Manipulation and Learning
- Smart Agriculture and AI
- Fatty Acid Research and Health
- Radio Wave Propagation Studies
- Advanced Vision and Imaging
- Occupational and environmental lung diseases
- Ubiquitin and proteasome pathways
- Game Theory and Applications
- Speech and dialogue systems
- Traditional Chinese Medicine Studies
- Machine Learning in Healthcare
Ningbo University
2023-2025
Nantong University
2023-2024
University of Architecture, Civil Engineering and Geodesy
2024
Yutong (China)
2024
Jilin University
2024
Jilin Medical University
2024
Jiaxing University
2024
Australian e-Health Research Centre
2022-2024
Commonwealth Scientific and Industrial Research Organisation
2022-2024
City University of Hong Kong
2024
Rain removal is an important but challenging computer vision task as rain streaks can severely degrade the visibility of images that may make other visions or multimedia tasks fail to work. Previous works mainly focused on feature extraction and processing neural network structure, while current methods already achieve remarkable results, training based single structure without considering cross-scale relationship cause information drop-out. In this paper, we explore manner between networks...
Text classification is a process of classifying documents into predefined categories through different classifiers learned from labelled or unlabelled training samples. Many researchers who work on binary text attempt to find more effective way separate relevant texts large data set. However, current cannot unambiguously describe the decision boundary between positive and negative objects because uncertainties caused by feature selection knowledge learning process. This paper proposes...
In the field of multimedia, single image deraining is a basic pre-processing work, which can greatly improve visual effect subsequent high-level tasks in rainy conditions. this paper, we propose an effective algorithm, called JDNet, to solve problem and conduct segmentation detection task for applications. Specifically, considering important information on multi-scale features, Scale-Aggregation module learn features with different scales. Simultaneously, Self-Attention introduced match or...
This study aimed to elucidate the consistency of differentially expressed hub mRNAs and proteins in lung adenocarcinoma (LUAD) across populations construct a comprehensive LUAD prognostic signature.
To determine the incidence of patients presenting in pain to a large Australian inner-city emergency department (ED) using clinical text deep learning algorithm.
The success of deep learning in natural language processing relies on ample labelled training data. However, models the health domain often face data inadequacy due to high cost and difficulty acquiring Developing such thus requires robustness performance new A generalised incremental multiphase framework is proposed for developing robust performant clinical text classifiers. It incorporates multiphases size assessments, cross-validation setup avoid test bias, testing through...
Abstract The ubiquitination-mediated protein degradation exerts a vital role in the progression of multiple tumors. NEDD4L, which belongs to E3 ubiquitin ligase NEDD4 family, is related tumor genesis, metastasis and drug resistance. However, anti-tumor NEDD4L esophageal carcinoma, potential specific recognition substrate remain unclear. Based on public carcinoma database clinical sample data, it was discovered this study that expression apparently lower than atypical hyperplastic tissue...
Huge video data has posed great challenges on computing power and storage space, triggering the emergence of distributed compressive sensing (DCVS). Hardware-friendly characteristics this technique have consolidated its position as one most powerful architectures in source-limited scenarios, namely, wireless sensor networks (WVSNs). Recently, deep convolutional neural (DCNNs) are successfully applied DCVS because traditional optimization-based methods computationally elaborate hard to meet...
Multi-document summarization addressing the problem of information overload has been widely utilized in various real-world applications. Most existing approaches adopt term-based representation for documents which limit performance multi-document systems. In this paper, we proposed a novel pattern-based topic model (PBTMSum) task summarization. PBTMSum combining pattern mining techniques with LDA modelling could generate discriminative and semantic rich representations topics so that most...
SaaS software that provides services through cloud platform has been more widely used nowadays. However, when is running, it will suffer from performance fault due to factors such as the structural d... | Find, read and cite all research you need on Tech Science Press
The wine originated 7,500 years ago, and it is one of the most popular alcoholic beverages in world today. With modern advances production processes, quality has been significantly improved. White wines can be graded by measuring various physical chemical quantities. In reality, very rare for white to have dramatic differences, so precisely capturing these important characteristics will difficult. addition, available dataset relatively small imbalanced, not easy train a machine learning...