A5053190542- Data Management and Algorithms
- Rough Sets and Fuzzy Logic
- Data Mining Algorithms and Applications
- Adaptive Control of Nonlinear Systems
- Traditional Chinese Medicine Analysis
- Adaptive Dynamic Programming Control
- Algorithms and Data Compression
- Reinforcement Learning in Robotics
- Simulation and Modeling Applications
- Complex Network Analysis Techniques
- Advanced Image and Video Retrieval Techniques
- Metaheuristic Optimization Algorithms Research
- Caching and Content Delivery
- Neural Networks Stability and Synchronization
- Electrochemical sensors and biosensors
- Network Security and Intrusion Detection
- Advanced Computational Techniques and Applications
- Service-Oriented Architecture and Web Services
- Cryptography and Residue Arithmetic
- Biological Activity of Diterpenoids and Biflavonoids
- Traffic and Road Safety
- Artificial Immune Systems Applications
- IoT and GPS-based Vehicle Safety Systems
- Comics and Graphic Narratives
- Solar Radiation and Photovoltaics
Beijing Institute of Graphic Communication
2021-2024
Nanjing University of Chinese Medicine
2015-2024
Zhejiang Normal University
2023
China Mobile (China)
2023
Northeastern University
2006-2022
Shenzhen Institute of Information Technology
2016-2021
Jinan University
2021
Central South University
2020
Harbin Institute of Technology
2014-2019
Northwest Normal University
2019
Signal transducer and activator of transcription 3 (STAT3) signaling is constantly activated in human melanoma, promotes melanoma metastasis. The dietary flavonoid apigenin a bioactive compound that possesses low toxicity exerts anti-metastatic activity melanoma. However, the anti-metastasis mechanism has not been fully elucidated. In present study, we showed suppressed murine B16F10 cell lung metastasis mice, inhibited migration invasion cells. Further study indicated effectively STAT3...
This article proposed a novel event-triggered integral sliding-mode control (ISMC) strategy for nonlinear system with disturbances via robust adaptive dynamic programming (ADP) considering constrains. A mixed ISMC scheme two different trigger parts is developed and the optimal performance of dynamics input constrains ensured. By guaranteeing that trajectory converges to surface removing disturbances, discontinuous part triggering rule presented together existence analysis lower interval time...
The heuristic dynamic programming (HDP) ( λ )-based optimal control strategy, which takes a long-term prediction parameter into account using an iterative manner, accelerates the learning rate obviously. computation complexity caused by state-associated extra variable in -return value computing of traditional value-gradient method can be reduced. However, as iteration number increases, calculation costs have grown dramatically that bring huge challenge for process with limited bandwidth and...
Given the inherent volatility and intermittency of photovoltaic power generation, enhancing precision predictions becomes imperative to ensure stability systems elevate quality. This article introduces an intelligent prediction model based on Extreme Learning Machine (ELM) with Adaptive Spiral Dung Beetle Optimization (ASDBO) algorithm. The aims accurately predict generation under multi-factor correlation conditions, including environmental temperature solar irradiance. computational...
High-utility sequential pattern mining (HUSPM) has become an important issue in the field of data mining. Several HUSPM algorithms have been designed to mine high-utility patterns (HUPSPs). They applied several real-life situations such as for consumer behavior analysis and event detection sensor networks. Nonetheless, most studies on focused HUPSPs precise data. But real-life, uncertainty is factor collected using various types sensors that are more or less accurate. Hence, a database can...
Internet-based distributed systems enable globally scattered resources to be collectively pooled and used in a cooperative manner achieve unprecedented petascale super computing capabilities. Numerous resource discovery approaches have been proposed help this goal. To report or discover multi-attribute resource, most use multiple messages with each message for an attribute, leading high overhead. Anther approach can reduce one index, but it is not practically effective environment large...
In this article, we consider complex networks without connection information. The absence of global structure induces a great obstacle in the structural controllability analysis these networks. Thus, topology predicting method based on probability matrix is proposed to provide for article. Furthermore, modified principles network topologies are established acquire more accurate relationship. Eventually, drive node set determined by topologies. accuracy verified numerical simulations context...
The schematic diagram of the formation process and interfaces L1 0 -FePt@Bi-rich nanoparticles.
The rapid growth of information nowadays makes efficient searching increasingly important for a massive database with tremendous volume information. Traditional methods either rely on linear or depend tree structure. These search in the entire and compare query records during process, which lead to inefficiency. This paper presents locality sensitive hashing based scheme (LSS) achieve highly database. LSS classifies their similarities facilitate fast location. Based study analysis LSS, an...
A novel monitoring strategy is proposed for multimode process in which mode clustering and fault detection based on geodesic distance (GD) are integrated. To start with, the empowered adjacency matrix of normalized training dataset obtained improved Dijkstra algorithm (IDA) utilized to calculate between each sample data so as characterize shortest nonlinear within local areas accurately. Next, GD presented an optimal solution a dataset. Then, GDS model established operating mode. Monitoring...
To incentivize more consumers to purchase, many online retailers consider shifting from threshold-based free shipping unconditional shipping. However, they fear this could lead reduced order value and declining revenue. This paper studies the potential of displaying persuasion cues (i.e., scarcity information, popularity a combination both) in improving performance promotion. We collaborated with an retailer conducted field experiment randomly assign distinct strategies during find that,...
In this paper, we address the limitation for mining of high-utility sequential-pattern from uncertain databases and present a probabilistic high average-utility sequential pattern framework discovering set patterns databases. A level-wise algorithm three pruning strategies are introduced to mine desired patterns. Several experiments then evaluated show that proposed achieves promising performance.