A5045012663- Fault Detection and Control Systems
- Smart Grid Security and Resilience
- Speech and dialogue systems
- Microbial Metabolic Engineering and Bioproduction
- Distributed Control Multi-Agent Systems
- Topic Modeling
- Stability and Control of Uncertain Systems
- Metalloenzymes and iron-sulfur proteins
- Machine Learning and ELM
- Spectroscopy and Chemometric Analyses
- Enzyme Catalysis and Immobilization
- Petri Nets in System Modeling
- Scheduling and Optimization Algorithms
- Smart Agriculture and AI
- Spectroscopy Techniques in Biomedical and Chemical Research
- Metaheuristic Optimization Algorithms Research
- Natural Language Processing Techniques
Jiangnan University
2016-2022
Singapore Management University
2022
Escherichia coli is a major industrial producer of d-lactic acid due to its well-known advantages, such as short cycle times and low demand. However, sensitivity limits production capacity increases costs. Enhancing the resistance E. stress essential for improving cell performance value. Here, we propose feasible strategy increase tolerance cells by strengthening intracellular proton conversion. The transcriptome test acid-tolerant adaptive evolution strain identified hydrogenase accessory...
Summary This article investigates the fault detection problem in finite‐frequency domain for a class of nonlinear networked systems under stochastic cyber‐attacks. A novel adaptive event‐triggered scheme is introduced to mitigate transmission burden network. unified measurement model proposed take randomly occurring cyber‐attacks and delays into account simultaneously. Under consideration sensitivity disturbance robustness, addressed converted an auxiliary filtering by properly augmenting...
Pre-trained language models have shown superior performance in task-oriented dialogues. However, existing datasets are on limited scales, which cannot support large-scale pre-training. Fortunately, various data augmentation methods been developed to augment dialogue corpora. they heavily rely annotated the target domain, require a tremendous amount of collection and human labeling work. In this paper, we build unified user simulation model by pre-training several publicly available datasets....
This paper investigates the fault detection problem in finite-frequency domain for networked singularly perturbed systems. A novel dynamic event-triggered scheme is introduced to mitigate transmission burden of network. Under consideration sensitivity and disturbance robustness, addressed converted into an auxiliary H <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−</inf> / xmlns:xlink="http://www.w3.org/1999/xlink">∞</inf> filtering by...