A5100407690- Water Quality Monitoring Technologies
- Smart Agriculture and AI
- Water Quality Monitoring and Analysis
- Advanced Chemical Sensor Technologies
- Plant and Fungal Interactions Research
- Advanced Neural Network Applications
- Plant Virus Research Studies
- Virus-based gene therapy research
- Network Time Synchronization Technologies
- Plant Pathogens and Fungal Diseases
- Fish biology, ecology, and behavior
- Spectroscopy and Chemometric Analyses
- Advanced X-ray and CT Imaging
- Autonomous Vehicle Technology and Safety
- Internet of Things and AI
- Wireless Body Area Networks
- Air Quality Monitoring and Forecasting
- Viral gastroenteritis research and epidemiology
- Robotic Path Planning Algorithms
- Vehicle Dynamics and Control Systems
- ECG Monitoring and Analysis
- Image Enhancement Techniques
- Radiomics and Machine Learning in Medical Imaging
- Animal Virus Infections Studies
- Aquatic life and conservation
Shandong Provincial QianFoShan Hospital
2025
Shandong First Medical University
2025
South China Agricultural University
2021-2024
Yancheng Institute of Technology
2023
Changchun University of Science and Technology
2021
Artificial intelligence (AI)-assisted compressed sensing (ACS) is widely used in various parts of the body, but application this technology rectum still rare. This study aimed to evaluate feasibility super-resolution (SR) T2-weighted imaging (T2WI) based on ACS rectal cancer (RC) by comparing with (CS) and parallel (PI). In prospective study, 29 patients adenocarcinoma were enrolled, three groups SR T2WI images ACS, CS, PI (ACS-T2WI, CS-T2WI, PI-T2WI) obtained, using same scanning time for...
Accurate locating and counting of litopenaeus vannamei fry can provide substantial support for sales scientific feeding. However, traditional methods not only require visual observation by experts, but also are time-consuming labor-intensive, with no guarantee to reach consensus between salesmen customers. In contrast, more innovative expensive equipment or effective under specific conditions. The small size high density nature the shrimp makes its even challenging. this study, a point...
Fish counting is crucial in fish farming. Density map-based methods hold promise for high-density scenarios; however, they suffer from ineffective ground truth density map generation. High labeling complexities and disturbance to growth during data collection are also challenging mitigate. To address these issues, LDNet, a versatile network with attention implemented introduced this study. An imbalanced Optimal Transport (OT)-based loss function was used effectively supervise Additionally,...
The circular replication-associated protein (Rep)-encoding single-stranded (CRESS) DNA virus emergence in diverse host has been associated with severe disease. Porcine circovirus-like (Po-Circo-like [PCL] virus) is a CRESS virus, the prevalence and pathogenicity of which are rarely studied.We obtained two blood samples, four faecal intestinal samples from pig farm suffered diarrheal disease delivery room September 2020 attempted to isolate identify causative pathogen. Subsequently, only PCL...
Today, large-scale Penaeus monodon farms no longer incubate eggs but instead purchase larvae from hatcheries for rearing. The accurate counting of tens thousands in these transactions is a challenging task due to the small size and highly congested scenes. To address this issue, we present Larvae Counting Strategy (PLCS), simple efficient method that only requires smartphone capture images without need any additional equipment. Our approach treats two different types keypoints as equip based...
Fish fry counting has been vital in fish farming, but current computer-based methods are not feasible enough to accurately and efficiently calculate large number of a single count due severe occlusion, dense distribution the small size fry. To address this problem, we propose deconvolution enhancement keypoint network (DEKNet), method for that features single-keypoint approach. This novel approach models as point located central part head, laying foundation our innovative strategy. be...
Soybean pod count is a crucial aspect of soybean plant phenotyping, offering valuable reference information for breeding and planting management. Traditional manual counting methods are not only costly but also prone to errors. Existing detection-based face challenges due the crowded uneven distribution pods on plants. To tackle this issue, we propose Pod Counting Network (SPCN) accurate counting. SPCN density map-based architecture based Hybrid Dilated Convolution (HDC) strategy attention...
Abstract A novel positive single-stranded RNA virus, Pleurotus ostreatus deltaflexivirus 1 (PoDFV1), was isolated from an edible fungus strain ZP6. The complete genome of PoDFV1 is 7706 nucleotides (nt) longand contains a short poly(A) tail. predicted to contain one large open reading frame (ORF1) and three small downstream ORFs (ORFs 2-4). ORF1 encodes putative replication-associated polyprotein (RP) 1979 amino acids (aa) containing conserved domains, viral methyltransferase (Mtr), helicase...
The aim of this study was to investigate the effectiveness Adaptive Neuro-Fuzzy Inference System (ANFIS) model in predicting removal major pollutants a wastewater treatment plant. parameters were screened using Principal Component Analysis (PCA) and Orthogonal Experiments (OE) carried out improve accuracy ANFIS. predictions pollutant obtained through normalization transformation, ANFIS for effluent value then indirect calculated based on predicted results. It found that there no one-to-one...