A5101754640- Matrix Theory and Algorithms
- Monoclonal and Polyclonal Antibodies Research
- Complexity and Algorithms in Graphs
- Coding theory and cryptography
- Microwave Dielectric Ceramics Synthesis
- Polynomial and algebraic computation
- Advanced Graph Theory Research
- Innovation in Digital Healthcare Systems
- Numerical Methods and Algorithms
- Systemic Lupus Erythematosus Research
- COVID-19 diagnosis using AI
- Rough Sets and Fuzzy Logic
- Chemical Thermodynamics and Molecular Structure
- Field-Flow Fractionation Techniques
- Digital Filter Design and Implementation
- Domain Adaptation and Few-Shot Learning
- Advanced Manufacturing and Logistics Optimization
- Autonomous Vehicle Technology and Safety
- Interconnection Networks and Systems
- Traditional Chinese Medicine Studies
- ECG Monitoring and Analysis
- Emotion and Mood Recognition
- Blood groups and transfusion
- Action Observation and Synchronization
- Diffusion Coefficients in Liquids
Friedrich-Alexander-Universität Erlangen-Nürnberg
2024
First Affiliated Hospital of Guangzhou Medical University
2024
State Key Laboratory of Respiratory Disease
2024
Guangzhou Medical University
2024
China University of Mining and Technology
2021-2024
Beijing Normal University
2023
Shenzhen University
2021
Capital Medical University
2020
Beijing Anding Hospital
2020
Wuhan University of Technology
2019
Emotional decoding and automatic identification of major depressive disorder (MDD) is helpful to doctors in diagnosis the disease on time, electroencephalogram (EEG) sensitive changes functional state human brain, showing its potential help diagnose MDD. In this paper, an approach for identifying MDD by fusing interhemispheric asymmetry cross correlation with EEG signals proposed tested 32 subjects (16 16 healthy controls (HC)). First, structure feature connectivity theta, alpha beta band...
Abstract Continued evolution of SARS-CoV-2 generates variants to challenge antibody immunity established by infection and vaccination. A connection between population genesis virus has long been suggested but its molecular basis remains poorly understood. Here, we identify a class neutralizing public antibodies defined their shared usage VL6-57 light chains. Although heavy chains diverse genotypes are utilized, convergent HCDR3 rearrangements have observed among these cooperate with germline...
In the field of autonomous driving, safety has always been a top priority, especially in recent years with development and increasing application deep reinforcement learning driving. Ensuring algorithms become an indispensable concern. Reinforcement learning, which involves interacting environment through trial error, may result unsafe behavior driving without any constraints. Such could drive path deviation even collision, causing catastrophic accidents. Therefore, this paper proposes...
Article Free Access Share on Fast rectangular matrix multiplications and improving parallel computations Authors: Xiaohan Huang Ph.D. Program in Mathematics, Graduate School University Center, City of New York, 33 West 42nd Street, NY NYView Profile , Victor Y. Pan Department Mathematics Computer Science, Lehman College, Bronx, Authors Info & Claims PASCO '97: Proceedings the second international symposium Parallel symbolic computationJuly 1997 Pages...
Spark is a big data processing framework based on MapReduce, whose calculation model requires that all tasks in parent stages are completed before starting new stage. Machine service variability or congested network connections caused by partial intermittent machine failures become bottleneck for the to execute tasks. In this paper, we focus design of speculative execution schemes heterogeneous from an optimization perspective different loading conditions. First, derive load arrival rate...
The present work reports Fick diffusion coefficients D11 and thermal diffusivities a of binary liquid mixtures containing n-heptane, 2,3-dimethylpentane, methylcyclohexane, toluene, n-decane, butylcyclohexane, butylbenzene, naphthalene, cis- or trans-decahydronaphthalene, 1,2,3,4-tetrahydronaphthalene, diphenylmethane, dicyclohexylmethane, ortho-benzyltoluene, ortho-perhydrobenzyltoluene at equimolar composition determined by the shadowgraph method. Experiments were performed in compressed...
Domain adaptation (DA) refers to generalize a learning technique across the source domain and target under different distributions. Therefore, essential problem in DA is how reduce distribution discrepancy between domains. Typical methods are embed adversarial into deep networks learn transferable feature representations. However, existing related may not sufficiently minimize discrepancy. In this article, method minimum (MADD) proposed by combining with learning. Specifically, we design...