A5101532788- Advanced oxidation water treatment
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Advanced Photocatalysis Techniques
- Environmental remediation with nanomaterials
- Wastewater Treatment and Nitrogen Removal
- Algal biology and biofuel production
- Advanced Computational Techniques and Applications
- Human Mobility and Location-Based Analysis
- Advanced Database Systems and Queries
- Water Quality Monitoring and Analysis
- Aquatic Ecosystems and Phytoplankton Dynamics
- Catalytic Processes in Materials Science
- Hip and Femur Fractures
- Anomaly Detection Techniques and Applications
- Advanced Manufacturing and Logistics Optimization
- Traffic Prediction and Management Techniques
- 3D Printing in Biomedical Research
- Cardiac, Anesthesia and Surgical Outcomes
- Algorithms and Data Compression
- Orthopaedic implants and arthroplasty
- Constructed Wetlands for Wastewater Treatment
- Natural Language Processing Techniques
- Water Resources and Management
- Ammonia Synthesis and Nitrogen Reduction
Sichuan University of Science and Engineering
2025
Changzhou University
2023-2025
Tianjin University of Traditional Chinese Medicine
2023-2024
Southwest Petroleum University
2022-2024
Chuzhou University
2024
Tsinghua University
2021-2023
China National Pharmaceutical Group Corporation (China)
2020-2023
State Key Joint Laboratory of Environment Simulation and Pollution Control
2023
Soochow University
2020-2023
Alibaba Group (China)
2023
Predictive autoscaling is a key enabler for optimizing cloud resource allocation in Alibaba Cloud's computing platforms, which dynamically adjust the Elastic Compute Service (ECS) instances based on predicted user demands to ensure Quality of (QoS). However, are often highly complex, with high uncertainty and scale-sensitive temporal dependencies, thus posing great challenges accurate prediction future demands. These turn make challenging---autoscaling needs properly account demand while...
Influent quality and quantity were important factors that caused the abnormal operation of WWTP.In this study, prediction models influent established based on four machine learning methods Linear Regression, Ridge ElasticNet Regression Lasso Regression.The meteorological conditions (precipitation air temperature) indicators (influent quantity, COD, NH 3 -N) used as training data.The evaluated using historical data obtained from a WWTP located in western China, results showed normal rates...
Electrochemical advanced oxidation processes (EAOPs) can effectively eliminate organic pollutants using the reactive oxygen species (ROS) produced by electrode reactions.Three-dimensional electrochemical reactors (3DERs) are research frontier of EAOPs.They have higher catalytic activity and lower energy consumption than conventional reactors.This mini-review on 3DERs includes their structures, reaction mechanisms, applications in treating refractory wastewater.Developing preparation...