A5018806323- E-commerce and Technology Innovations
- Smart Agriculture and AI
- Collaboration in agile enterprises
- Topic Modeling
- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Spectroscopy and Chemometric Analyses
- Natural Language Processing Techniques
- Mental Health Research Topics
- Animal Nutrition and Physiology
- Urban and Freight Transport Logistics
- Outsourcing and Supply Chain Management
- Effects of Environmental Stressors on Livestock
- Microbial Metabolism and Applications
- Text and Document Classification Technologies
- Educational Technology and Pedagogy
- Animal Behavior and Welfare Studies
- Odor and Emission Control Technologies
- Domain Adaptation and Few-Shot Learning
- Greenhouse Technology and Climate Control
- Safety and Risk Management
- Advanced Chemical Sensor Technologies
- Educational Technology and Assessment
- Machine Learning and Data Classification
- Technology and Security Systems
Wuhan University
2017-2024
Guangdong University of Foreign Studies
2024
China Agricultural University
2022-2023
Northeastern University
2023
Sun Yat-sen University
2022
Hangzhou Normal University
2010-2022
Nanjing Agricultural University
2006-2022
Southeast University
2013-2022
North Carolina State University
2022
BaiCheng Normal University
2012-2021
Scab, frogeye spot, and cedar rust are three common types of apple leaf diseases, the rapid diagnosis accurate identification them play an important role in development production. In this work, improved model based on VGG16 is proposed to identify which global average poling layer used replace fully connected reduce parameters a batch normalization added improve convergence speed. A transfer learning strategy avoid long training time. The experimental results show that overall accuracy...
Soluble solids content (SSC) is one of the important components for evaluating fruit quality. The rapid development hyperspectral imagery provides an efficient method non-destructive detection SSC. Previous studies have shown that internal quality evaluation fruits based on spectral information features achieves better results. However, lack comprehensive limits accurate estimation Therefore, deep learning theory applied to soluble solid peaches, a estimating SSC fresh peaches image fusion...
Abstract Background This study protocol specifies the primary research line and theoretical framework of 2023 Survey Psychology Behavior on Chinese Population. It aims to establish a database focused psychology behavior among residents through multicenter, large-sample cross-sectional survey provide strong data support for development in related fields. will track public’s physical psychological health more comprehensively systematically. Methods The was conducted from 20 June 31 August...
Rice variety selection and quality inspection are key links in rice planting. Compared with two-dimensional images, three-dimensional information on seeds shows the appearance characteristics of more comprehensively accurately. This study proposed a classification method using point cloud data surface combined deep learning network to achieve rapid accurate identification varieties. First, collection platform was set up Raytrix light field camera as core collect seeds; then, collected...
This study protocol specifies the primary research line and theoretical framework of 2023 Survey Psychology Behavior Chinese Population. It aims to establish a consistent database residents' psychological behavioral surveys through multi-center large-sample cross-sectional provide robust data support for developing in related fields. will track public's physical health more comprehensively systematically. The was conducted from June 20, August 31, 2023, using stratified quota sampling...
To infer structures in diffusion networks, existing approaches mostly need to know not only the final infection statuses of network nodes, but also exact times when infections occur.In contrast, many real-world settings, such as disease propagation, monitoring is often infeasible due a high cost.We investigate problem how learn based on nodes.Instead utilizing sequences timestamps determine potential parent-child influence relationships between we propose find with statistical...
Abstract If not well identified and controlled, risks in systematically engineered cold supply chains can lead directly to food safety incidents. In current approaches chain risk evaluation, there is a lack of systematic classification quantitative analysis the influences factors chain. To accurately evaluate unknown that exert fluctuating influence result great losses, this study builds knowledge base expert systems based on expertise extensive experience modifies weights conjunction with...
To learn the underlying parent-child influence relationships between nodes in a diffusion network, most existing approaches require timestamps that pinpoint exact time when node infections occur historical processes. In many real-world processes like spread of epidemics, monitoring such infection temporal information is often expensive and difficult. this work, we study how to carry out network inference without timestamps, using only final statuses each process, which are more readily...
In this paper, a CFD (computational fluid dynamics) numerical calculation was employed to examine whether the ventilation system of self-designed smart broiler house meets requirements cooling and for welfare in poultry breeding. The chamber is powered by two negative pressure fans. fans are designed with different frequencies according specific air temperature chamber. simulation empty involved five working conditions research. age were carried out under three conditions. According measured...
Heavy broilers exposed to hot summer conditions experience fluctuations in surface temperatures due heat stress, which leads decreased performance. Maintaining a bird's homeostasis depends on several environmental factors (temperature, relative humidity, and air velocity). It is important understand the responses of birds amount loss surrounding environment create thermal comfort for heavy improved performances welfare. This study investigates variation under high low velocity treatments....
Shared bicycles provide a green, environmentally friendly, and healthy mode of transportation that effectively addresses the “final mile” problem in urban travel. However, uneven distribution imbalance user demand can significantly impact experience bicycle usage efficiency, which makes it necessary to predict demand. In this paper, we propose novel shared-bicycle prediction method based on station clustering. First, address challenge capturing patterns station-level demand, exhibits...
Previous studies normally formulate named entity recognition (NER) as a sequence labeling task and optimize the solution in sentence level. In this article, we propose document-level optimization approach to NER apply it domain-specific task. As baseline, state-of-the-art approach, i.e., long-short-term memory (LSTM), perform word classification. On basis, define global objective function with obtained classification results achieve via Integer Linear Programming (ILP). Specifically,...
Among many photocatalytic materials, TiO2 is considered to be the most promising material due its chemical stability, non-toxic, low cost and anti-corrosion.The kinetics of degradation organic pollutants in water by can described Langmuir-Hinshelwood kinetics.The kinetic model suitable for physical reactions occurring at solid-liquid interface.TiO2 prepared through preparation precursor fluid, spray drying process calcination.To study secondary sewage treatment wastewater a city, removal...
To identify the data examples of rare categories that form small compact clusters in large sets, existing approaches mostly require enough labeled as a training set to learn classifier, assuming rare-category are spherical or nearly spherical. Nonetheless, is usually difficult obtain practice, and many real-world applications often with arbitrary shapes. In this paper, we investigate how all category an shape based on only one seed (i.e., example). Instead finding local region around seed,...
Widely used freehand 3D ultrasound systems do not provide corrections to effectively track breathing-induced moving organs. In this paper, a novel 4D imaging method is proposed create sequence of breathing-corrected images from multiple 2D US image sequences, which acquired by using robotic arm hold probe and tilt it regularly scan the liver. An image-based introduced label respiratory phases images. Based on extracted phases, are then resampled reconstruct respiration-corrected The...
Poultry breeding is one of the most significant components agriculture and an essential link material exchange between humans nature. Moreover, poultry technology has a considerable impact on life quality human beings, could even influence survival beings. As popular poultry, broiler good economic benefit due to its excellent taste fast growing cycle. This paper aims improve efficiency raising broilers by understanding ammonia concentration distribution within smart chamber, rationality...
<title>Abstract</title> In a diffusion network, some nodes exhibit similar patterns as they have analogous influence reachabilities to the other nodes. When these are selected initially infected nodes, tend yield infection results. Mining of is practical significance in various applications, such online marketing and epidemic prevention. Nonetheless, few existing work has effectively addressed this problem. work, we investigate how find out which network share pattern based only on...