A5101762395- Network Packet Processing and Optimization
- Speech and Audio Processing
- Speech Recognition and Synthesis
- Education and Work Dynamics
- Water Quality Monitoring and Analysis
- Higher Education and Teaching Methods
- Retinal Diseases and Treatments
- Berberine and alkaloids research
- Data-Driven Disease Surveillance
- Time Series Analysis and Forecasting
- Pharmaceutical studies and practices
- Service-Oriented Architecture and Web Services
- Glaucoma and retinal disorders
- Cardiovascular Health and Risk Factors
- Cytomegalovirus and herpesvirus research
- Plant-based Medicinal Research
- Advanced Glycation End Products research
- Medical Research and Treatments
- Higher Education Research Studies
- Retinal Imaging and Analysis
- Network Security and Intrusion Detection
- Spectroscopy and Chemometric Analyses
- Cholinesterase and Neurodegenerative Diseases
- Remote Sensing in Agriculture
- Educational Technology and Pedagogy
Hubei University of Science and Technology
2009-2024
Xinjiang University
2023
Shandong Normal University
2023
Rice University
2022
John Wiley & Sons (United States)
2022
Hudson Institute
2022
Central Hospital of Putuo District
2019
University of Utah
2012-2018
University of Science and Technology of China
2014
University of Electronic Science and Technology of China
2013
Rumors may bring a negative impact on social life, and compared with pure textual rumors, online rumors multiple modalities at the same time are more likely to mislead users spread, so multimodal rumor detection cannot be ignored. Current methods for do not focus fusion of text picture-region object features, we propose neural network TDEDA (dual-attention based double embedding) applied detection, which performs high-level information interaction text–image level captures visual features...
Probabilistic linear discriminant analysis (PLDA) has shown to be effective for modeling speaker and channel variability in the i-vector space text-independent verification. This paper shows that PLDA scoring function could formulated as model comparison between an adapted universal PLDA. Based on this formulation, we show a more robust adaptation attained by adapting through use of minimum divergence estimate prior latent subspace. Experimental results NIST SRE'10 SRE'12 dataset confirm...
Accelerating finite automata processing is critical for advancing real-time analytic in pattern matching, data mining, bioinformatics, intrusion detection, and machine learning. Recent in-memory accelerators leveraging SRAMs DRAMs have shown exciting improvements over conventional digital designs. However, the bit-vector representation of state transitions used by all state-of-the-art (SOTA) designs only optimal worst-case completely random patterns, while a significant amount memory energy...
Chronic pain is the primary symptom of osteoarthritis affecting a patient's quality life. Neuroinflammation and oxidative stress in spinal cord contribute to arthritic represent ideal targets for management. In present study, model arthritis was established by intra-articular injection complete Freund's adjuvant (CFA) into left knee joint mice. After CFA inducement, width hypersensitivity mice were increased, motor disability impaired, inflammatory reaction induced, astrocytes activated,...
Total variability modeling has shown to be effective for text-independent speaker verification task. It provisions a tractable way estimate the so-called i-vector, which describes and session rendered in an utterance. Due low dimensionality of channel compensation techniques such as linear discriminant analysis (LDA) probabilistic LDA can applied purpose compensation. This paper proposes local technique, central idea is capture associated with individual dimension acoustic space. We analyze...
This paper presents the methodologies developed for solving IJCNN 2011's Ford Challenge II problem, where driver's alertness is to be detected employing physiological, environmental and vehicular data acquired during driving. The solution based on a thorough four-fold framework consisting of temporal processing, feature creation extraction, training ensemble several learning systems, such as neural networks, random forest, support vector machine, trained from diverse features. selection...
Currently, P2P application accounts for a majority of the network traffic. It is significant to study recognition monitoring and management, as well improvement service quality. There are many ways identify traffic, but it difficult effectively with only one method. To obtain optimal classification, different methods should be used comprehensively. Take consideration efficiency cost, comprehensive classification system based on DPI DFI proposed which can applications.
To prevent neovascularization in diabetic retinopathy (DR) patients and partially control disease progression.
Aiming at status of training the rural order directed free medical educational talents, we should improve understanding students, perfect relevant management system, strengthen ethics education pay attention to humanistic care students,strengthen continuing standardize access system reform distribution ensure quality students. Key words: Free students; Talents
Thyroid nodule is a common clinical disease, although most nodules are benign, the incidence rate of thyroid cancer has risen rapidly in recent years. Even though many methods have achieved automated segmentation based on deep learning, these supervised learning and require large amount labeled data for training. However, labeling work must be carried out by professional doctors, which results small number datasets difficulty labeling. To address this problem, paper proposes semi-supervised...
Objective: Establishing a primate multiscale genetic brain network linking key microstructural components to social behavior remains an elusive goal. Background: Diffusion MRI, which quantifies the magnitude and anisotropy of water diffusion in tissues, offers unparalleled opportunity link macroconnectome (resolution ~0.5mm) histological-based microconnectome at synaptic resolution. Design/Methods: We tested hypothesis that simplest (and most clinically-used) reconstruction technique (known...
Objective To investigate the status of pulmonary nodules management in central hospital Shanghai Putuo District. Methods In 2016 and 2017, patients with solitary found by low-dose spiral CT were selected during initial physical examination District Central Hospital Shanghai. The 4-8 mm diameter aged 30-85 years. control group, only routine was carried out. 2017 health group. Health records established, education out, follow-up After one year comparative intervention, effect evaluated...