A5100710886- Service-Oriented Architecture and Web Services
- Industrial Technology and Control Systems
- Smart Grid Energy Management
- Manufacturing Process and Optimization
- Product Development and Customization
- Parallel Computing and Optimization Techniques
- Machine Fault Diagnosis Techniques
- Interconnection Networks and Systems
- Advanced Image and Video Retrieval Techniques
- Vehicle License Plate Recognition
- Embedded Systems Design Techniques
- Heat Transfer and Optimization
- Data Quality and Management
- Microgrid Control and Optimization
- Time Series Analysis and Forecasting
- Video Surveillance and Tracking Methods
- Seismic Performance and Analysis
- Human Pose and Action Recognition
- Natural Fiber Reinforced Composites
- Cognitive Computing and Networks
- Topic Modeling
- Biometric Identification and Security
- Nanomaterials and Printing Technologies
- Textile materials and evaluations
- Heat Transfer Mechanisms
Xinjiang Medical University
2025
Zhejiang University of Technology
2013-2024
Beijing Jiaotong University
2022-2024
Linyi University
2022-2024
Southwest University of Science and Technology
2024
Harbin Institute of Technology
2024
Institute of Acoustics
2022-2023
Nanjing University
2022-2023
Nanjing Drum Tower Hospital
2023
BOE Technology Group (China)
2023
Background Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors (EGFR-TKIs) in clinical use show promise but can cause AEs, impacting patients’ wellbeing and increasing costs. Methods This study utilized two methods: network meta-analysis (NMA) disproportionality analysis (DA). For NMA, we searched PubMed, Embase, Cochrane Central Register of Controlled Trials, ClinicalTrials.gov up to 10 September 2024, for phase II/III RCTs comparing EGFR-TKI monotherapy with chemotherapy or other...
In recent years, with the continuous development of large language models, artificial intelligence content automatic generation technology has made rapid progress and brought new challenges to existing design paradigm. The constantly updated AIGC will change future workflow. However, there are few researches on architectural image from design. This study is based tools such as midjoury Stable Diffusion practice vernacular architecture. How use instructions methods style customization model...
Abstract Improving building energy efficiency is significant for conservation and environmental protection. When there are multiple buildings with solar power generation batteries connected in a microgrid, coordinating the distributed supply consumption may substantially improve efficiency. We consider this important problem paper make following three major contributions. First, we formulate operation optimization of microgrid as two‐stage stochastic programming problem. Second, transformed...
This paper investigates the joint-operation of building microgrids with distributed solar power and storage battery. The purpose this is to improve energy efficiency taking advantage complementary load profiles. Three major contributions are made in paper. First, order incorporate uncertainties both as well communication system, operation problem formulated a finite-stage event-based optimization model. Second, an on-line simulation-based policy improvement method developed given control...
The carbon fiber-reinforced composite (CFRP) has the properties of a high specific strength, low density and excellent corrosion resistance; it been widely used in aerospace automobile lightweight manufacturing as an important material. To improve CFRP cutting quality process, nanosecond laser with wavelength 532 nm was applied to cut holes 2-mm-thick plate by using rotational technology. influence different parameters on heat-affected zone, surface roughness hole taper explored, process...
One of the important tasks auditory attention decoding is to identify attended speaker's direction from listener's EEG signals. Compared rule-based methods, deep neural networks (DNNs) have recently shown significantly better identification accuracy, especially with short decision windows. However, existing DNN-based solutions rely on direct application convolution and mechanism, spatial information electrodes not fully exploited. In this paper, we propose a learnable mapping (LSM) mechanism...
Abstract To provide an insight for reliable seismic risk assessment of small building contents, the rocking response freestanding wooden blocks subjected to 11 bidirectional horizontal ground motion records scaled various intensity levels is investigated via shaking table tests. Three prisms and three cylinders with slenderness ratios 2, 3 4, having same ratio but different size parameters 158 mm, 237 mm 316 are considered. The peak acceleration statistics corresponding overturning obtained....
Time series forecasting is emerging as one of the most important branches big data analysis. However, traditional time models can not effectively extract good enough sequence features and often result in poor accuracy. In this paper, a novel model, named SeriesNet, which fully learn different interval lengths. The SeriesNet consists two networks. LSTM network aims to holistic reduce dimensionality multi-conditional data, dilated causal convolution interval. This model multi-range multi-level...