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- research-articleDecember 2023
Integration of deep reinforcement learning and multi-agent system for dynamic scheduling of re-entrant hybrid flow shop considering worker fatigue and skill levels
Robotics and Computer-Integrated Manufacturing (RCIM), Volume 84, Issue CDec 2023https://doi.org/10.1016/j.rcim.2023.102605Highlights- Worker fatigue and skill levels are considered in the modeling of hybrid flow shop.
In real-life manufacturing systems, production management is often affected by urgent demands and unexpected interruptions, such as new job insertions, machine breakdowns and operator unavailability. In this context, agent-based ...
- research-articleJune 2023
Coupling Effect and Chain Evolution of Urban Rail Transit Emergencies
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 1Jan. 2024, Pages 1044–1053https://doi.org/10.1109/TITS.2023.3283100Emergency events such as fire, flood and COVID-19 occurred in urban rail transit (URT) usually triggered chain effect and evolved into huge disaster. This kind of chain with complexity and uncertainty evolution brought great challenges to the safety ...
- ArticleFebruary 2023
PVT-COV19D: COVID-19 Detection Through Medical Image Classification Based on Pyramid Vision Transformer
Computer Vision – ECCV 2022 WorkshopsOct 2022, Pages 526–536https://doi.org/10.1007/978-3-031-25082-8_35AbstractWith the outbreak of COVID-19, a large number of relevant studies have emerged in recent years. We propose an automatic COVID-19 diagnosis model based on PVTv2 and the multiple voting mechanism. To accommodate the different dimensions of the image ...
- research-articleDecember 2022
LDNet: low-light image enhancement with joint lighting and denoising
Machine Vision and Applications (MVAA), Volume 34, Issue 1Jan 2023https://doi.org/10.1007/s00138-022-01365-zAbstractDue to unavoidable environmental and/or technical constraints, many photographs are often taken in low-light conditions, which result in underexposure and severe noise. Existing low-light enhancement and denoising methods can deal with both ...
- research-articleOctober 2021
Sequential alignment attention model for scene text recognition
Journal of Visual Communication and Image Representation (JVCIR), Volume 80, Issue COct 2021https://doi.org/10.1016/j.jvcir.2021.103289Highlights- A attention-gated recurrent unit distinguishing text-related regions from background.
Scene text recognition has been a hot research topic in computer vision due to its various applications. The state-of-the-art solutions usually depend on the attention-based encoder-decoder framework that learns the mapping between ...
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- research-articleJanuary 2019
Perceptual-sensitive GAN for generating adversarial patches
AAAI'19/IAAI'19/EAAI'19: Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial IntelligenceJanuary 2019, Article No.: 127, Pages 1028–1035https://doi.org/10.1609/aaai.v33i01.33011028Deep neural networks (DNNs) are vulnerable to adversarial examples where inputs with imperceptible perturbations mislead DNNs to incorrect results. Recently, adversarial patch, with noise confined to a small and localized patch, emerged for its easy ...