A5101553674- Image Enhancement Techniques
- Image Retrieval and Classification Techniques
- AI in cancer detection
- Coagulation and Flocculation Studies
- Heavy metals in environment
- Environmental Impact and Sustainability
- Medical Image Segmentation Techniques
- Air Quality Monitoring and Forecasting
- Flood Risk Assessment and Management
- Advanced oxidation water treatment
- Zoonotic diseases and public health
- Sustainable Agricultural Systems Analysis
- Fire Detection and Safety Systems
- Remote Sensing and LiDAR Applications
Nanjing Agricultural University
2021-2023
Sun Yat-sen University
2015
Soil microbial necromass carbon (MNC) is an important component of soil organic (SOC) in croplands. Microbial communities contribute over 50% the SOC croplands through continuous turnover and formation necromass, which characterized by its large scale strong persistence. Agricultural production systems are widely influenced human activities. There still a lack understanding regarding key issues such as dynamics MNC under management practices their global distribution potential. In this...
Crop production is a major source of agricultural carbon emissions, yet the life cycle footprints (LCCFs) key global staple crops remain underexplored. This study quantifies LCCFs three grain crops—maize, rice, and wheat—using hybrid approach that integrates machine learning (ML) models assessment (LCA) for period from 2006 to 2019. We systematically calculated cradle-to-farm-gate footprint (CF), accounting emissions upstream inputs, transportation, field operations....
The potential benefits of zero-valent iron-activated persulfate (Na2S2O8) oxidation in enhanced dewaterability sludge, along with the associated mechanisms were investigated this study. sludge was evaluated terms specific resistance to filtration (SRF) and water content. Based on these indexes, it observed that ZVI-S2O82 effectively improved dewaterability. optimal conditions give preferable found when molar ratio ZVI/S2O82− 5:1 pH value 3.0. most important mechanism proposed be degradation...
In order to adequately characterize the visual characteristics of atmospheric visibility and overcome disadvantages traditional measurement method with significant dependence on preset reference objects, high cost, complicated steps, this paper proposed an ensemble learning for grading based deep neural network stochastic weight averaging. An experiment was conducted using scene expressway, three levels were set, i.e., Level 1, 2, 3. Firstly, EfficientNet transferred extract abstract...