A5101787439- Data Management and Algorithms
- Advanced Database Systems and Queries
- Geographic Information Systems Studies
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Image Processing Techniques and Applications
- Traffic Prediction and Management Techniques
- Data Mining Algorithms and Applications
- Energy Efficient Wireless Sensor Networks
- Robotics and Sensor-Based Localization
- Additive Manufacturing and 3D Printing Technologies
- Advanced Neural Network Applications
- 3D Surveying and Cultural Heritage
- Cell Image Analysis Techniques
- Biometric Identification and Security
- Semantic Web and Ontologies
- Advanced Measurement and Metrology Techniques
- Topic Modeling
- Sunflower and Safflower Cultivation
- Automated Road and Building Extraction
- Single-cell and spatial transcriptomics
- Lipid metabolism and biosynthesis
- Optical measurement and interference techniques
Beijing University of Technology
2023-2024
Tsinghua University
2024
Sun Yat-sen University
2024
First Affiliated Hospital of Zhengzhou University
2024
Zhejiang University
2022-2024
Zhengzhou University
2022-2024
Ningbo University of Technology
2024
Hangzhou Dianzi University
2024
Case Western Reserve University
2023
Sichuan University
2023
GPS-equipped taxis can be regarded as mobile sensors probing traffic flows on road surfaces, and taxi drivers are usually experienced in finding the fastest (quickest) route to a destination based their knowledge. In this paper, we mine smart driving directions from historical GPS trajectories of large number taxis, provide user with practically given at departure time. our approach, propose time-dependent landmark graph, where node (landmark) is segment frequently traversed by model...
Map-matching is the process of aligning a sequence observed user positions with road network on digital map. It fundamental pre-processing step for many applications, such as moving object management, traffic flow analysis, and driving directions. In practice there exists huge amount low-sampling-rate (e.g., one point every 2--5 minutes) GPS trajectories. Unfortunately, most current map-matching approaches only deal high-sampling-rate (typically 10--30s) data, become less effective points...
Matching a raw GPS trajectory to roads on digital map is often referred as the Map problem. However, occurrence of low-sampling-rate trajectories (e.g. one point per 2 minutes) has brought lots challenges existing matching algorithms. To address this problem, we propose an Interactive Voting-based (IVMM) algorithm based following three insights: 1) The position context well topological information road networks, 2) mutual influence between points (i.e., result references positions its...
Weakly supervised crowd counting involves the regression of number individuals present in an image, using only total as label. However, this task is plagued by two primary challenges: large variation head size and uneven distribution density. To address these issues, we propose a novel Hypergraph Association Crowd Counting (HACC) framework. Our approach consists new multi-scale dilated pyramid module that can efficiently handle size. Further, hypergraph association to solve problem density...
Ear recognition is a new biometrics technique. Due to its unique physiological structure, position and stability, ear expected be promising authentication In this paper, hybrid system for classifying images proposed. This combines independent component analysis (ICA) RBF network. The original image database decomposed into linear combinations of several basic images. Then the corresponding coefficients these are fed up network instead an feature vector comprised pixel values grayscale local...
Abstract Background Safflower ( Carthamus tinctorius L.) is an oilseed crop with substantial medicinal and economic value. However, the methods for constructing safflower core germplasm resources are limited, molecular mechanisms of lipid biosynthesis in seeds not well understood. Results In this study, 11 oil-related quantitative traits 50 pairs InDel markers were used to assess diversity a collection 605 germplasms. The original exhibited rich phenotypic diversity, high variation most...
Most existing weakly supervised crowd counting methods utilize Convolutional Neural Networks (CNN) or Transformer to estimate the total number of individuals in an image. However, both CNN-based (grid-to-count paradigm) and Transformer-based (sequence-to-count take images as inputs a regular form. This approach treats all pixels equally but cannot address uneven distribution problem within human crowds. challenge would lead decline performance model. Compared with grid sequence, graph...
Cell localization still faces two unresolved challenges: 1) the dramatic variations in cell morphology, coupled with heterogeneous intensity distribution of lightly stained cells; 2) existing location maps lack scale information, resulting insufficient supervision for point and inaccurate density maps. To address first challenges, we introduce a novel gradient-aware shape-adaptive Difference-Deformable Convolution (DDConv), which enhances model's robustness to color by leveraging gradient...
Abstract Spatial transcriptomics reveals the spatial distribution of genes in complex tissues, providing crucial insights into biological processes, disease mechanisms, and drug development. The prediction gene expression based on cost-effective histology images is a promising yet challenging field research. Existing methods for from exhibit two major limitations. First, they ignore intricate relationship between cell morphological information expression. Second, these do not fully utilize...
The development of areas such as remote and airborne sensing, location based services, geosensor networks enables the collection large volumes spatial data. These datasets necessitate wide application databases. Queries on these geo-referenced data often require aggregation isolated points to form clusters obtain properties clusters. However, current SQL standard does not provide an effective way query In this paper, we aim at introducing Cluster By into databases allow a broad range...
The goal of spatial co-location pattern mining is to find subsets features frequently located together in proximity. Example patterns include services requested and from mobile devices (e.g., PDAs cellular phones) symbiotic species ecology Nile crocodile Egyptian plover). Spatial clustering groups similar objects together. Reusing research results clustering, e.g. algorithms visualization techniques, by mapping problem into a would be very useful. However, directly various may not yield...
Open AccessCCS ChemistryRESEARCH ARTICLES8 Aug 2022Halide Anchors for Single-Cluster Electronics Caiyun Wei, Jingyao Ye, Yuming Su, Jueting Zheng, Siqiang Xiao, Jiawei Chen, Saisai Yuan, Chengyang Zhang, Jie Bai, Han Xu, Jia Shi, Jiale Huang and Wenjing Hong Wei State Key Laboratory of Physical Chemistry Solid Surfaces, College Chemical Engineering, Xiamen University, 361005 , Ye Su Zheng Xiao Chen Yuan Zhang Bai Xu Shi *Corresponding authors: E-mail Address: [email protected]...
Postoperative delirium (POD) is a prevalent and severe complication in elderly patients undergoing major surgery, associated with increased morbidity mortality. This randomized controlled trial aimed to investigate the effects of low-dose esketamine on incidence POD underwent total hip or knee arthroplasty.