- Advanced Neural Network Applications
- Gastrointestinal disorders and treatments
- Pancreatitis Pathology and Treatment
- Fault Detection and Control Systems
- Face and Expression Recognition
- Complex Network Analysis Techniques
- Recommender Systems and Techniques
- Machine Learning and Data Classification
- Sentiment Analysis and Opinion Mining
- Advanced Algorithms and Applications
- Advanced Image and Video Retrieval Techniques
- Nursing Diagnosis and Documentation
- Web Data Mining and Analysis
- Pancreatic and Hepatic Oncology Research
- Cardiac, Anesthesia and Surgical Outcomes
- Wireless Communication Security Techniques
- Power System Reliability and Maintenance
- High voltage insulation and dielectric phenomena
- Technology and Security Systems
- Text and Document Classification Technologies
- Health Education and Validation
- Imbalanced Data Classification Techniques
- Online Learning and Analytics
- Generative Adversarial Networks and Image Synthesis
- Biometric Identification and Security
Beijing Technology and Business University
2024
Shandong Normal University
2024
Gansu Provincial Hospital
2023
Liaoning University
2023
State Ethnic Affairs Commission
2022
Southwest Minzu University
2022
Jiamusi University
2022
Zhangzhou Municipal Hospital of Fujian Province
2022
China Mobile (China)
2021
Chongqing University of Posts and Telecommunications
2021
To develop a rat model of type 2 diabetic mellitus that simulated the common manifestation metabolic abnormalities and resembled natural history certain diabetes in human population, male Sprague-Dawley rats (4 months old) were injected with low-dose (15 mg/kg) STZ after high fat diet (30% calories as fat) for two (L-STZ/2HF). The functional histochemical changes pancreatic islets examined. Insulin-glucose tolerance test, islet immunohistochemistry other corresponding tests performed data...
Feature selection and dimensionality reduction are important for the performance of wind turbine condition monitoring models using supervisory control data acquisition (SCADA) data. In this paper, an improved random forest algorithm, namely Simplification Random Forest (FS_RF), is proposed, which capable identifying features closely correlated with working conditions. The Euclidian distances employed to distinguish weight same feature among different samples, its importance measured by means...
Lip Reading is the technology of obtaining language content by analyzing change speaker's lip shape and recognizing information movement. reading helps people with hearing disabilities understand what other are saying, which difficult for humans. This paper proposes a novel model using Transformer network, to achieve high accuracy. The main process includes processing data sets, extraction features pre-trained neural then input into network training. Finally, our achieves word-level accuracy...
With the development of Internet technology, online loans continue to enter public eye, individuals and small businesses must access more loan opportunities, it is important for platforms effectively reduce credit crisis associated with customer defaults. This paper uses default dataset from lending club. The ADASYN (Adaptive synthetic sampling approach) method adopted cope class imbalance problem dataset. In order improve prediction accuracy, this utilizes Blending fuse three models:...
The Shanghai Transport Committee has estimated that passenger traffic increased fivefold between 2005 and 2014, will continue to increase. At the same time, maintenance costs of Metro have about six times their original value. To ensure reliability, availability, maintainability safety (RAMS) in railways, equipment sometimes needs be upgraded; new technology is an effective way modernizing system. Condition monitoring techniques are considered a pragmatic approach improve RAMS railways....
For very large datasets, random projections (RP) have become the tool of choice for dimensionality reduction. This is due to computational complexity principal component analysis. However, recent development randomized analysis (RPCA) has opened up possibility obtaining approximate components on datasets. In this paper, we compare performance RPCA and RP in reduction supervised learning. Experiment 1, study a malware classification task dataset with over 10 million samples, almost 100,000...
Abstract Pediatric patients suffer from chronic pancreatitis (CP), especially those with diabetes mellitus (DM). This study aimed to identify the incidence of and risk factors for DM in pediatric CP. CP admitted our center January 2000 December 2013 were assigned (<18 years old) adult group according their age at onset Cumulative rates both groups calculated identified. The median follow-up duration whole cohort was 7.6 years. In these 2153 patients, 13.5% them pediatrics. mean diagnosis...
Text-guided image-to-video (I2V) generation aims to generate a coherent video that preserves the identity of input image and semantically aligns with prompt. Existing methods typically augment pretrained text-to-video (T2V) models by either concatenating noised frames channel-wise before being fed into model or injecting embedding produced encoders in cross-attention modules. However, former approach often necessitates altering fundamental weights T2V models, thus restricting model's...
Power electric building blocks (PEBB) simplifies the design of three level inverter, new system is high-integrated and high-standard. A communication-modulation power unit including a high-speed communications network base on electronic communication network(PES-net) protocol SVPWM modulator, all designed realized FPGA. By integrating modulator in this bandwidth demand effectively reduced master controller's CPU resources can be released. In order to verify design, an experiment platform...
In order to improve the quality of talents cultivation for business major, new subjects emerged adapt development economy and industries. This paper systematically analyzes research status trend talent training model assurance system under background subjects. Taking Jiamusi University as an example, this puts forward path method with hope meet social needs.
Abstract In massive multiple‐input multiple‐output (MIMO) systems, most of the existing detection work mainly assumes that channel is additive white Gaussian noise (AWGN). However, this assumption difficult to apply practical communication scenarios. To end, paper proposes a message passing (MPD) algorithm with convolutional neural network (CNN) (denoted as iterative MPD‐CNN structure) under correlated channels, which helpful solve issue performance degradation in non‐ideal AWGN channels....
The Web information collection and publication system is studied by means of web technology, denoising based on the fusion Big Data Information Technology art, text de-duplication technology automatic classification technology. A minimum connection number algorithm address weight proposed implemented in application layer. This method applied to development implementation new media release management system, so that it has a better operating efficiency.