A5113000501- Geotechnical Engineering and Analysis
- Coastal and Marine Dynamics
- Handwritten Text Recognition Techniques
- COVID-19 epidemiological studies
- Ocean Waves and Remote Sensing
- Rock Mechanics and Modeling
- Optimization and Mathematical Programming
- Mineral Processing and Grinding
- Cardiac tumors and thrombi
- Seismic Performance and Analysis
- Advanced Sensor and Energy Harvesting Materials
- Autonomous Vehicle Technology and Safety
- Tuberous Sclerosis Complex Research
- Artificial Intelligence in Healthcare
- Smart Agriculture and AI
- Wood Treatment and Properties
- Intelligent Tutoring Systems and Adaptive Learning
- Hand Gesture Recognition Systems
- Video Surveillance and Tracking Methods
- Tunneling and Rock Mechanics
- Fetal and Pediatric Neurological Disorders
- Electronic Health Records Systems
- Teratomas and Epidermoid Cysts
- Spinal Dysraphism and Malformations
- Control and Dynamics of Mobile Robots
University of Hong Kong
2023-2024
Sichuan Normal University
2023-2024
Dalian University of Technology
2024
Henan University
2024
Shanghai Harbour Engineering Design & Research Institute
2022-2023
Northwest A&F University
2023
Jilin University
2022
Shanghai Jiao Tong University
2022
Southeast University
2021
Nanjing University of Information Science and Technology
2018
Abstract Objective To develop and apply a natural language processing (NLP)-based approach to analyze public sentiments on social media their geographic pattern in the United States toward coronavirus disease 2019 (COVID-19) vaccination. We also aim provide insights facilitate understanding of attitudes concerns regarding COVID-19 Methods collected Tweet posts by residents after dissemination vaccine. performed sentiment analysis based Bidirectional Encoder Representations from Transformers...
ABSTRACT Objective This scoping review aims to identify and understand the role of artificial intelligence in application integrated electronic health records (EHRs) patient-generated data (PGHD) care, including clinical decision support, care quality, patient safety. We focused on that combined PGHD EHR data, we investigated (AI) care. Methods used Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) guidelines search articles six databases: PubMed, Embase, Web Science,...
Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' the correct option one of four, some students may write incorrect symbols or do not exist. In this paper, five classifications were set up - four for other writing. This approach takes into account possibility non-standard writing options.
The aim of the study is to describe radiological imaging features different solitary fibrous tumors (SFTs) locations and present histopathological correlations. From 2007 2013, 20 cases histologically confirmed that SFTs were retrospectively analyzed with computed tomography (CT; 9/20), magnetic resonance (MRI; 5/20), or both CT MRI (6/20). All well defined, lobular, soft-tissue masses, 60% located outside pleura. One pleural case invaded 10th thoracic vertebra had lung metastases. Images...
Shadows and normal light illumination road non-road areas are two pairs of contradictory symmetrical individuals. To achieve accurate detection, it is necessary to remove interference caused by uneven illumination, such as shadows. This paper proposes a detection algorithm based on learning illumination-independent image solve the following problems: First, most methods sensitive variation illumination. Second, with traditional invariability, difficult determine calibration angle camera...
The size effect on mechanical behaviors of rock materials has been a challenging topic. previous research is mainly to study the relationship between known large-scale models and representative element volumes. However, only limited scale can be obtained in situ or laboratory many cases, so tests simulations response cannot carried out. In order obtain models, this paper proposes multi-scale enlarged digital modeling method synthesize granite based texture self-similarity. representational...
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The objective of this study is to investigate a stochastic SIR epidemic model incorporating mean-reverting Ornstein–Uhlenbeck process and individual heterogeneity. Initially, we establish the global existence positivity solution within through application Lyapunov functions. Subsequently, delve into dynamical behavior model. Our research reveals that increased noise intensity, slower reversion rate, positive collaboratively contribute mitigation infection outbreaks.
This survey is aimed at reviewing the group key agreement protocols in cloud environment. These are given a classification, which protocol, triple-party protocol and double-party according to number of users participating agreement. Then we give summary these proposed based on classification. After performing analysis security performance respectively, comment each category made this paper. Based which, it unmistakably that Odelu et al.'s [47] shows best both efficiency, while Tseng [45]...
Probabilistic interval-valued intuitionistic hesitant fuzzy sets (PIVIHFSs) can well describe the evaluation information of decision-makers (DMs) in multi-attribute decision-making (MADM) problems. However, PIVIHFSs only depict situation where both membership and non-membership occur with equal probability while ignoring situations non-equal possibility due to DMs’ subjective preferences. In this paper, we develop dual probabilistic (DPIVIHFSs) concept based on truncated normal distribution....
Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task. Assuming possible options are 'abcd' the correct option one of four, some students may write incorrect symbols or do not exist. In this paper, five classifications were set up - four for other writing. This approach takes into account possibility non-standard writing options.
This study focuses on the way-points coverage problem of unmanned vehicles in orchard areas. Firstly, a two-dimensional coordinate model is established based within orchards. considers both vehicle's position and speed towards target point well as steering challenges involved reaching that point. Subsequently, to provide torque forward power for vehicle, taking into account its dynamic characteristics. Kinematic controllers control are then presented, with stability proven using Lyapunov's...