A5111183775- Privacy-Preserving Technologies in Data
- Birth, Development, and Health
- Forecasting Techniques and Applications
- Energy Load and Power Forecasting
- Stock Market Forecasting Methods
- Global Health Care Issues
- Breastfeeding Practices and Influences
- Acute Myocardial Infarction Research
- Health disparities and outcomes
- Cancer, Hypoxia, and Metabolism
- Robotics and Automated Systems
- Adipose Tissue and Metabolism
- Employment and Welfare Studies
- Migration, Aging, and Tourism Studies
- Digital and Cyber Forensics
- AI and Big Data Applications
- Tuberous Sclerosis Complex Research
- Multimodal Machine Learning Applications
- Reinforcement Learning in Robotics
- Anomaly Detection Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Advanced Manufacturing and Logistics Optimization
- PI3K/AKT/mTOR signaling in cancer
- Hippo pathway signaling and YAP/TAZ
- Imbalanced Data Classification Techniques
Chongqing Medical University
2025
Children's Hospital of Chongqing Medical University
2025
China International Science and Technology Cooperation
2025
George Washington University
2024
University of Edinburgh
2017-2024
Guilin University of Electronic Technology
2024
National Institute of Biological Sciences, Beijing
2017
Institute of Genetics and Developmental Biology
2017
Chinese Academy of Sciences
2017
University of Chinese Academy of Sciences
2017
This research explores the intersection of artificial intelligence and finance, focusing on emergence intelligent investment advisers, commonly known as Robo-advisers (RAs). These RAs utilize robust computer models algorithms to deliver personalized asset management plans for users. Notably, Wealthfront is highlighted a prominent platform in this field, offering automated services aimed at optimizing returns. The study investigates impact users' past performance their adoption considering...
In today's increasingly digital financial landscape, the frequency and complexity of fraudulent activities are on rise, posing significant risks losses for both institutions consumers. To effectively tackle this challenge, paper proposes a machine learning-based K-means clustering method to enhance accuracy efficiency fraud detection. By vast amounts transaction data, we can identify anomalous patterns behaviors in timely manner, thereby detecting potential fraud. Compared traditional...
Computer vision is a kind of simulation biological using computers and related equipment. It an important part the field artificial intelligence. Its research goal to make have ability recognize three-dimensional environmental information through two-dimensional images. based on image processing technology, signal probability statistical analysis, computational geometry, neural network, machine learning theory computer analysis visual information.The article explores intersection technology...
This study provides an in-depth analysis of the model architecture and key technologies generative artificial intelligence, combined with specific application cases, uses conditional adversarial networks ( cGAN ) time series methods to simulate predict dynamic changes in financial markets. The research results show that can effectively capture complexity market data, deviation between prediction actual performance is minimal, showing a high degree accuracy. Through investment return...
Intelligent manufacturing has gradually become an important development trend in the industrial field. As artificial intelligence technology, machine vision been widely used field of automation. This paper discusses and application robot arm intelligent picking system based on manufacturing. The converts target into image signal through acquisition device, sends it to special processing for digital processing. Then, performs various operations extract features target, controls action...
Migration is a core component of population change and both symptom cause major economic social phenomena. However, data limitations mean that gaps remain in our understanding the patterns processes mobility. This particularly case for internal migration, which remains under-researched, despite being quantitatively much more significant than international migration. Using Scottish Longitudinal Study, this paper evaluates potential value General Practitioner administrative health from...
The insulin signaling pathway plays key roles in systemic growth. TBC1D7 has recently been identified as the third subunit of tuberous sclerosis complex (TSC), a negative regulator cell Here, we used Drosophila model system to dissect physiological function vivo. In mutants lacking TBC1D7, and organ growth were promoted, limited cell-nonautonomous TSC-independent manner. is specifically expressed insulin-producing cells fly brain regulated biosynthesis release insulin-like peptide 2, leading...
The article explores the intersection of computer vision technology and robotic control, highlighting its importance in various fields such as industrial automation, healthcare, environmental protection. Computer technology, which simulates human visual observation, plays a crucial role enabling robots to perceive understand their surroundings, leading advancements tasks like autonomous navigation, object recognition, waste management. By integrating with robot gain ability interact...
Artificial intelligence introduces a fresh research perspective to digital image processing. However, its integration into the curriculum of colleges and universities for teaching processing remains scarce. This lack incorporation results in outdated course content, reliance on singular methods, simplistic experiments, consequently impeding effective hindering development well-rounded innovative individuals. Digital technology expands horizons communication engineering, facilitating more...
Background: Guidelines recommend high-sensitivity cardiac troponin to risk stratify patients with possible myocardial infarction and identify those eligible for discharge. Whether the effectiveness safety of this approach varies by sex, age, ethnicity, or deprivation status how it has been adopted in practice is uncertain.Methods: A multi-centre cohort study was conducted 13 hospitals across United Kingdom from November 1st, 2021, October 31st, 2022. Routinely collected data including I T...
This study provides an in-depth analysis of the model architecture and key technologies generative artificial intelligence, combined with specific application cases, uses conditional adversarial networks ( cGAN ) time series methods to simulate predict dynamic changes in financial markets. The research results show that can effectively capture complexity market data, deviation between prediction actual performance is minimal, showing a high degree accuracy.
ABSTRACTObjectivesTo evaluate the influences of low birthweight and socioeconomic status upon child development disorders
 ApproachIt has been recognised that socio-economic impact cognitive in children. Previous studies Scotland investigated this relationship using Scottish Mental Health Survey 1932, Growing Up (GUS) longitudinal survey, Aberdeen Children 1950s study. This paper examines Longitudinal Study (SLS) linked with Maternity Inpatient Day Case records Child Systems Programme...