A5100722755- Advanced Electron Microscopy Techniques and Applications
- Cell Image Analysis Techniques
- Explainable Artificial Intelligence (XAI)
- Species Distribution and Climate Change
- Robotics and Sensor-Based Localization
- Remote Sensing and LiDAR Applications
- Animal Behavior and Welfare Studies
- Smart Agriculture and AI
- Plant Pathogens and Fungal Diseases
- Electron and X-Ray Spectroscopy Techniques
- Geophysical and Geoelectrical Methods
- Effects of Environmental Stressors on Livestock
- Remote Sensing in Agriculture
- Infrared Thermography in Medicine
- Advanced Causal Inference Techniques
- Genetic and phenotypic traits in livestock
- Single-cell and spatial transcriptomics
- Gut microbiota and health
- Bayesian Modeling and Causal Inference
- Ocean Waves and Remote Sensing
- Robot Manipulation and Learning
- Genetics and Neurodevelopmental Disorders
- Multi-Agent Systems and Negotiation
- Vibrio bacteria research studies
- Bacterial Genetics and Biotechnology
Shenzhen University
2025
Amazon (United States)
2024
Wageningen University & Research
2022-2024
Agricultural Information Institute
2022-2024
Chinese Academy of Agricultural Sciences
2024
Southern Medical University
2023
Southern Methodist University
2022
Cornell University
2022
Xuzhou University of Technology
2021
Jiangsu University of Science and Technology
2020
Abstract This study aims to investigate the current knowledge of unmanned aerial vehicle (UAV)‐based simultaneous localization and mapping (SLAM) in outdoor environments discuss challenges limitations this field. A literature search was conducted three online databases (Web Science, Scopus, IEEE) for articles published before October 2022 related UAV‐based SLAM. scoping review carried out identify key concepts applications, discover research gaps use algorithm‐oriented task‐oriented,...
Object Detection and Tracking have provided a valuable tool for many tasks, mostly time-consuming prone-to-error jobs, including fruit counting while in the field, among others. Fruit can be challenging assignment humans due to large quantity of available, which turns it into mentally-taxing operation. Hence, is relevant use technology ease task farmers by implementing algorithms facilitate counting. However, those suffer undercounting occlusion, means that hidden behind leaf or branch,...
Perceiving the environment and its changes over time corresponds to two fundamental yet heterogeneous types of information: semantics motion. Previous end-to-end autonomous driving works represent both information in a single feature vector. However, including motion tasks, such as prediction planning, always impairs detection tracking performance, phenomenon known negative transfer multi-task learning. To address this issue, we propose Neural-Bayes decoding, novel parallel detection,...
Cryo-electron tomography (cryo-ET) enables the 3D visualization of cellular organization in near-native state which plays important roles field structural cell biology. However, due to low signal-to-noise ratio (SNR), large volume and high content complexity within cells, it remains difficult time-consuming localize identify different components cryo-ET. To automatically recognize situ structures interest captured by cryo-ET, we proposed a simple yet effective automatic image analysis...
Behavior classification and recognition of sheep are useful for monitoring their health productivity. The automatic behavior by using wearable devices based on IMU sensors is becoming more prevalent, but there little consensus data processing methods. Most accuracy tests conducted extracted segments, with only a few trained models applied to continuous segments classification. aim this study was evaluate the performance multiple combinations algorithms (extreme learning machine (ELM),...
Introduction Alzheimer’s disease (AD) is a complex neurodegenerative with high heritability. Compared to autosomes, higher proportion of disorder-associated genes on X chromosome are expressed in the brain. However, only few studies focused identification susceptibility loci for AD chromosome. Methods Using data from Disease Neuroimaging Initiative Study, we conducted an chromosome-wide association study between 16 quantitative biomarkers and 19,692 single nucleotide polymorphisms (SNPs)...
Cellular Electron Cryo-Tomography (CECT) is a powerful 3D imaging tool for studying the native structure and organization of macromolecules inside single cells. For systematic recognition recovery macromolecular structures captured by CECT, methods several important tasks such as subtomogram classification semantic segmentation have been developed. However, are still very difficult due to high molecular structural diversity, crowding environment, limitations CECT. In this paper, we propose...
Electron Cryo-Tomography (ECT) allows 3D visualization of subcellular structures at the submolecular resolution in close to native state. However, due high degree structural complexity and imaging limits, automatic segmentation cellular components from ECT images is very difficult. To complement speed up existing methods, it desirable develop a generic cell component method that 1) not specific particular types components, 2) able segment unknown 3) fully unsupervised does rely on...
Abstract Recently, many analysis tools have been devised to offer insights into data generated via Cytometry by time-of-flight (CyTOF). However, objective evaluations of these methods remain absent as most are conducted against real where the ground truth is generally unknown. In this paper, we develop Cytomulate, a reproducible and accurate simulation algorithm CyTOF data, which could serve foundation for future method development evaluation. We demonstrate that Cytomulate can capture...
The convolutional neural network (CNN) has become a powerful tool for various biomedical image analysis tasks, but there is lack of visual explanation the machinery CNNs. In this paper, we present novel algorithm, Respond-weighted Class Activation Mapping (Respond-CAM), making CNN-based models interpretable by visualizing input regions that are important predictions, especially 3D imaging data inputs. Our method uses gradients any target concept (e.g. score class) flows into layer. weighted...
Vibrio parahaemolyticus uses bacterial secretion systems and integrative conjugative elements (ICEs) to induce various diseases adapt harsh environments, respectively. Information pertaining the identity of secreted proteins functional characterization ICEs has been previously reported, but relationship between these remains unclear. Herein we investigated V. strains JHY20 JHY20△ICE using two-dimensional gel electrophoresis LC-MS/MS, which led identification an ICE-associated protein –...
Estimating the effect of intervention from observational data while accounting for confounding variables is a key task in causal inference. Oftentimes, confounders are unobserved, but we have access to large amounts additional unstructured (images, text) that contain valuable proxy signal about missing confounders. This paper argues leveraging this can greatly improve accuracy estimation. Specifically, introduce deep multi-modal structural equations, generative model estimation which latent...
An adaptive reduced method (ARM) for retrieving wind direction from X-band marine radar images is presented in this paper. The new algorithm design an operator which can expand the scope of image resolution to adapt streak scale by adaptively reduce size. Different previous algorithms that construct judgment obtain optimum reduction rate, calculating stability factor based on pixels gradient histogram statistics determine scale. Wind determined optimal rate and feature. has been tested using...