A5032642628- Fuel Cells and Related Materials
- Fault Detection and Control Systems
- Advanced Battery Technologies Research
- Educational Reforms and Innovations
- Climate change impacts on agriculture
- Remote Sensing in Agriculture
- Transgenic Plants and Applications
- Advanced MIMO Systems Optimization
- Machine Fault Diagnosis Techniques
- Agricultural risk and resilience
- Land Use and Ecosystem Services
- Soil Carbon and Nitrogen Dynamics
- Economics of Agriculture and Food Markets
- Higher Education Learning Practices
- Plant tissue culture and regeneration
- Spatial and Panel Data Analysis
- Electrocatalysts for Energy Conversion
- Toxin Mechanisms and Immunotoxins
- Rangeland and Wildlife Management
- Online and Blended Learning
- Biological and pharmacological studies of plants
- Human Mobility and Location-Based Analysis
- Telecommunications and Broadcasting Technologies
- Advanced Combustion Engine Technologies
- Soybean genetics and cultivation
Primary Source
2025
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources
2025
North China Electric Power University
2025
The University of Texas at Arlington
2017-2024
University of Illinois Urbana-Champaign
2019-2024
Shandong Institute of Business and Technology
2018-2019
Tianjin University
2012-2014
Peking University
1994-2004
De Montfort University
1998
Classification in large-scale data is a key problem big domain. The theory of compressive sensing enables the recovery sparse signal from small set linear, random projections which provides classification method operating directly on compressed without reconstructing for data. In this paper, we collected vowel /a:/ and /i:/ voice signals using throat polyp detection. prediction procedure based wavelet packet transform support vector machine intelligent algorithm was deduced. experiments with...
Abstract Cover crops have critical significance for agroecosystem sustainability and long been promoted in the U.S. Midwest. Knowledge of cover cropping variations impacts government policies remains very limited. We developed an accurate cost‐effective approach utilizing satellite fusion data, environmental variables, machine learning to quantify corn soybean fields from 2000 2021 found that crop adoption most counties was stagnant 2011, but has significantly increased 2011 2021. The is...
Cover crops have been reported as one of the most effective practices to increase soil organic carbon (SOC) for agroecosystems. Impacts cover on SOC change vary depending properties, climate, and management practices, but it remains unclear how these control factors affect benefits from crops, well which can maximize benefits. To address questions, we used an advanced process-based agroecosystem model, ecosys, assess impacts winter cropping accumulation under different environmental...
According to the current Intergovernmental Panel of Climate Change report, climate change will increase probability occurrence droughts in some areas. Recent contributions at international level indicate that trade is expected act as an efficient tool mitigate adverse effect future conditions on agriculture. However, no contribution has focused similar capacity within any country yet. The U.S. obvious choice given many impact studies focus its agriculture and around 90% crop domestic....
Granger Causality analysis originated in the field of econometrics is used as a time series tool based on vector auto-regression, and its phased generalized transfer entropy (TE), which conditional co-information information theory, has been widely data recent years. In this paper, we forecast Fifth-Generation (5G) channel causality entropy, then use water filling algorithm to allocate power for forecasted 5G channel. first part test verify correlation two random channels ensure that can be...
Cover crops have critical significance for agroecosystem sustainability and been long promoted in the U.S. Midwest. Knowledge of variations cover cropping impacts government policies remains very limited. We developed an accurate cost-effective approach utilizing multi-source satellite fusion data, environmental variables, machine learning to quantify corn soybean fields from 2000 2021 found that crop adoption most counties has significantly increased recent 11 years 2011 2021. The...
Purpose Federal crop insurance programs are the primary risk management of US farm programs. Currently, these have been criticized for being disproportionally in favor riskier areas. Despite previous researchers having widely speculated its existence, a formal study scale, spatial pattern and fiscal impacts such misrating phenomenon is still missing literature. Design/methodology/approach This paper first purposes an empirically testable definition misrating, then detects scale by using over...
The construction of high -level "double -class" universities must be based on the cultivation applied talents.In response to demand cultivating talents in colleges and universities, research status dynamic mixed teaching at home are summarized application talents.Taking course "Engineering Drawing" as an example online education comprehensive platform developed by Tsinghua Education online, this paper explores reform engineering-driven under information mode.From aspects curriculum...