A5100350501- Smart Agriculture and AI
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Robotic Path Planning Algorithms
- Industrial Vision Systems and Defect Detection
- UAV Applications and Optimization
- Market Dynamics and Volatility
- Spectroscopy and Chemometric Analyses
- Allelopathy and phytotoxic interactions
- Plant Disease Management Techniques
- Weed Control and Herbicide Applications
- Plant Pathogens and Fungal Diseases
- Radar Systems and Signal Processing
- Insurance, Mortality, Demography, Risk Management
- Credit Risk and Financial Regulations
- Hydrology and Watershed Management Studies
- Plant responses to water stress
- Insect and Pesticide Research
- Hydrological Forecasting Using AI
- Antenna Design and Optimization
- Plant Surface Properties and Treatments
- Robotics and Sensor-Based Localization
- Flood Risk Assessment and Management
- Pesticide Residue Analysis and Safety
- Manufacturing Process and Optimization
University of Michigan
2019-2025
Affiliated Eye Hospital of Wenzhou Medical College
2025
Wenzhou Medical University
2024-2025
Wuhan University of Science and Technology
2021-2024
Beijing Forestry University
2024
Beijing Institute of Technology
2024
Zhejiang Lab
2021-2024
Yangzhou University
2022-2023
Zhejiang University
2010-2023
Xinjiang Medical University
2023
Strawberry growers in Florida suffer from a lack of efficient and accurate yield forecasts for strawberries, which would allow them to allocate optimal labor equipment, as well other resources harvesting, transportation, marketing. Accurate estimation the number strawberry flowers their distribution field is, therefore, imperative predicting coming yield. Usually, are estimated manually, is time-consuming, labor-intensive, subjective. In this paper, we develop an automatic flower detection...
Strawberry is ranked third in the value of production crops Florida, USA. Classifying strawberry maturity and monitoring growth status field very critical for accurate yield prediction, efficient management, achieving highest crop production. The traditional method distinguishing based on either physical appearance or internal chemical substance content. However, time-consuming costly. In this research, an automatic classification system was developed rapid different stages. A...
Most convolutional neural network (CNN) models have various difficulties in identifying crop diseases owing to morphological and physiological changes tissues, cells. Furthermore, a single disease can show different symptoms. Usually, the differences symptoms between early late stages include area of color disease. This also poses additional for CNN models. Here, we propose lightweight model called GrapeNet identification symptom specific grape diseases. The main components are residual...
Moringa oleifera leaf (MLP) contains abundant complex nutrients with anti-osteoporosis potential. However, its efficacy and mechanisms against osteoporosis remain unknown. The purpose of this research is to investigate MLP's anti-osteoporotic effects mechanisms. Animal experiments were used in work validate efficacy. We investigated the mode action MLP, analyzed impact on gut microbiota, predicted validated anti-osteoporosis-related molecular targets pathways through network pharmacology,...
As the most serious of many worse new pathological changes caused by diabetes, there are risk factors for occurrence and development diabetic retinopathy (DR). They mainly include hyperglycemia, hypertension, hyperlipidemia so on. Among them, hyperglycemia is critical cause, plays a vital role in DR. High-sucrose diets (HSDs) lead to elevated blood glucose levels vivo, which, through oxidative stress, inflammation, production advanced glycation end products (AGEs) vascular endothelial growth...
Purpose: Anterior chamber air injection (ACAI) is a surgical technique used to decrease the occurrence of postoperative intraocular lens (IOL) haptic dislocation following phacovitrectomy with gas/air tamponade. The impact this on IOL stability remains uncertain, prompting design study investigate further. Methods: This included 51 eyes patients who underwent were divided into two groups: Group 1 (ACAI group, 26 eyes) and 2 (non-ACAI 25 eyes). position (IOLP) determine axial movement....
ABSTRACT The prediction of extreme events in time series is a fundamental problem arising many financial, scientific, engineering, and other applications. We begin by establishing general Neyman–Pearson‐type characterization optimal event predictors terms density ratios. This yields new insights several closed‐form for additive models. These results naturally extend to series, where we study both light‐ heavy‐tailed autoregressive moving average Using uniform law large numbers ergodic...
Observed high-frequency financial prices can be considered as having two components, a true price and market microstructure noise perturbation. It is an empirical regularity, coherent with classical theories of determination, that the second moment time-varying. We study optimal, from finite-sample forecast mean squared error (MSE) standpoint, frequency selection for realized variance in linear forecasting models time-varying noise. show resulting sampling frequencies are generally...
The decline of natural pollinators necessitates the development novel pollination technologies. In this work, we propose a drone-enabled autonomous system (APS) that consists five primary modules: environment sensing, flower perception, path planning, flight control, and mechanisms. These modules are highly dependent upon each other, with module relying on inputs from other modules. paper, focus approaches to control First, briefly introduce perception method our previous work create map...
With the rapid expansion of Industrial Internet Things, cloud computing and artificial intelligence, many intelligent information services have been developed in smart factories. One most important applications is helping factory managers predict quality assembled products. Traditional prediction methods assembly mainly focus on building classification or regression models with high accuracy. However, less attention paid to high-dimensional imbalanced data, which a special but common...
The toxicity of clothianidin to non-target organisms has gradually attracted world-wide attention. It is essential develop reliable methods for the on-site detection residue. In this study, analogue-based heterologous ic-ELISAs were designed rapidly screen desirable hybridomas, which could be used construction recombinant antibodies (RAbs) against clothianidin. Based on antibody variable region genes, two full-length IgG RAbs (1F7-RAb and 5C3-RAb) produced by mammalian cell expression...
Abstract Effective accumulated temperature (EAT) is a basic index to predict plant growing and development, while EATs for key stages during Echinochloa crus‐galli seed‐setting are still unclear. We collected three E. populations (Nanling [NL], Feidong [FD], Sihong [SH]) from different rice fields in eastern China conducted four sets of pot experiments greenhouse. Plants the sown on May 9–12, averagely reproduced 484–671 mature seeds per plant; showed duration 67–76 days sowing heading, with...
Residues of neonicotinoid pesticides have potential risks to food, environmental and biological safety. In this study, the hapten toward imidacloprid was adopted gain antibodies. After molecular modeling, electrostatic potentials eight commonly-used were individually calculated analyze structural similarity. Two representative compounds (imidacloprid acetamiprid) with moderate similarity rationally selected for hybridoma screening. Using strategy, four clones broad-specific monoclonal...