677 results on '"Yoo, ChangKyoo"'
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2. Multi-agent reinforcement learning-driven adaptive controller tuning system for autonomous control of wastewater treatment plants: An offline learning approach
3. Waste-to-Ammonia: A sustainable pathway for energy transition
4. Membrane-informed multi-mechanistic predictive maintenance for MBR plants: Early determination of membrane cleaning with biologically driven, physically deposited, and chemically induced fouling model
5. Real-scale demonstration of digital twins-based aeration control policy optimization in partial nitritation/Anammox process: Policy iterative dynamic programming approach
6. Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea
7. Flexible supply-demand side management towards a sustainable decentralized distribution network: A net-negative Water-energy-emissions Nexus assessment
8. Data-driven fault detection and diagnosis methods in wastewater treatment systems: A comprehensive review
9. AI-driven ventilation control policy proximal optimization coupled with dynamic-informed real-time model calibration for healthy and sustainable indoor PM2.5 management
10. Multi-sensor fault detection and correction for automated IAQ monitoring in smart buildings through attention-aware autoencoders with spatial prediction module
11. Chemical-guided screening of top-performing metal–organic frameworks for hydrogen storage: An explainable deep attention convolutional model
12. Coordinated operation for a resilient and green energy-water supply system: A co-optimization approach with flexible strategies
13. XRL-FlexSBR: Multi-agent reinforcement learning-driven flexible SBR control with explainable performance guarantee under diverse influent conditions
14. Techno-economic risk-constrained optimization for sustainable green hydrogen energy storage in solar/wind-powered reverse osmosis systems
15. Adaptive self-calibrated soft sensor for reliable nutrient measurement in rivers: Two-stage stacked autoencoder with densely connected fusion network
16. Incorporating temporal multi-head self-attention convolutional networks and LightGBM for indoor air quality prediction
17. Decoding intersectionality: A systematic review of gender and energy dynamics under the structural and situational effects of contexts
18. Soft sensor for predicting indoor PM2.5 concentration in subway with adaptive boosting deep learning model
19. Techno-economic assessment of a novel integrated multigeneration system to synthesize e-methanol and green hydrogen in a carbon-neutral context
20. Multi-agent reinforcement learning-enhanced autonomous calibration method for wastewater treatment modeling: Long-term validation of a full-scale plant
21. A novel deep learning framework with variational auto-encoder for indoor air quality prediction
22. Interpretable attention-based multi-encoder transformer based QSPR model for assessing toxicity and environmental impact of chemicals
23. Flare-to-hydrogen in oil and gas industries: Techno-economic feasibility of a net-negative alternative
24. Towards mega-scale decarbonized industrial park (Mega-DIP): Generative AI-driven techno-economic and environmental assessment of renewable and sustainable energy utilization in petrochemical industry
25. Sludge bulking monitoring in industrial wastewater treatment plants through graphical methods: A dynamic graph embedding and Bayesian networks approach
26. Sustainable design of a solar/wind-powered reverse osmosis system with cooperative demand-side water management: A coordinated sizing approach with a fuzzy decision-making model
27. Simultaneous sensor fault diagnosis and reconstruction for intelligent monitoring in wastewater treatment plants: An explainable deep multi-task learning model
28. An overview of artificial intelligence in subway indoor air quality prediction and control
29. Reliable operation of an optimal self-scheduling multicarrier system with two alternatives: Multiple renewable utilities or hydrogen facilities
30. Smart solutions for urban health risk assessment: A PM2.5 monitoring system incorporating spatiotemporal long-short term graph convolutional network
31. Systematic review and cutting-edge applications of prominent heuristic optimizers in sustainable energies
32. Rethinking of the future sustainable paradigm roadmap for plastic waste management: A multi-nation scale outlook compendium
33. End-to-end autonomous and resilient operability strategy of full-scale PN-SBR system: From influent augmentation to AI-aided optimal control and scheduling
34. Development of transparent high-frequency soft sensor of total nitrogen and total phosphorus concentrations in rivers using stacked convolutional auto-encoder and explainable AI
35. Comprehensive performance evaluation of water and power production technologies using water-exergy nexus analysis
36. A multi-agent AI reinforcement-based digital multi-solution for optimal operation of a full-scale wastewater treatment plant under various influent conditions
37. Distance adaptive graph convolutional gated network-based smart air quality monitoring and health risk prediction in sensor-devoid urban areas
38. Explainable multisensor fusion-based automatic reconciliation and imputation of faulty and missing data in membrane bioreactor plants for fouling alleviation and energy saving
39. Deep-AI soft sensor for sustainable health risk monitoring and control of fine particulate matter at sensor devoid underground spaces: A zero-shot transfer learning approach
40. Explainable AI-driven net-zero carbon roadmap for petrochemical industry considering stochastic scenarios of remotely sensed offshore wind energy
41. Three energy self-sufficient networks of wastewater treatment plants developed by nonlinear bi-level optimization models in Jeju Island
42. Kernel PLS with AdaBoost ensemble learning for particulate matters forecasting in subway environment
43. Multilevel optimization framework to support self-sustainability of industrial processes for energy/material recovery using circular integration concept
44. Dynamic calibration of process-wide partial-nitritation modeling with airlift granular for nitrogen removal in a full-scale wastewater treatment plant
45. Optimal demand side management scheduling-based bidirectional regulation of energy distribution network for multi-residential demand response with self-produced renewable energy
46. Non-Gaussian multivariate statistical monitoring of spatio-temporal wind speed frequencies to improve wind power quality in South Korea
47. Multiple land-use fugacity model to assess the transport and fate of polycyclic aromatic hydrocarbons in urban and suburban areas
48. A machine learning-driven spatio-temporal vulnerability appraisal based on socio-economic data for COVID-19 impact prevention in the U.S. counties
49. A hybrid extreme learning machine and deep belief network framework for sludge bulking monitoring in a dynamic wastewater treatment process
50. An adaptive safety-risk mitigation plan at process-level for sustainable production in chemical industries: An integrated fuzzy-HAZOP-best-worst approach
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