Edmond Q Wu
Biographic Data
| ID | 10054544 |
|---|---|
| NAME | Edmond Q Wu |
| GIVEN NAMES | Edmond Q |
| FAMILY NAME | Wu |
| SIGNATURE | WU E Q |
| AFFILIATIONS | Shanghai Jiao Tong University |
| ORCID | 0000-0003-1301-9870 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Gt-Agcn
Adaptive Guidance in Dynamic Environments
In future battlefields, missiles are expected to become highly precise and efficient strike weapons, with missile intelligence emerging as a critical development trend. To address the problem of optimizing 3-D missile interception guidance laws, this article introduces the deep Q-network (DQN) algorithm on the foundation of proportional navigation guidance (PNG) and proposes an adaptive proportional guidance algorithm based on deep reinforcement …
Extraction of Emergency Elements and Business Process Model of Urban Rail Transit Plans
The emergency plan of the urban rail transit (URT) system is a guiding document for dealing with emergencies and formulating emergency plans. However, the emergency plan text described in natural language has some problems, such as poor visibility and enforceability. Effective help is difficult to provide for the rapid implementation of emergency response. Therefore, obtaining key emergency task information from the emergency response plan and vi…
A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit
The similarity measurement method is the key part of the normal cloud model as well as its applications. Too much attention has been paid on geometric and numerical features, leading to the weak interpretability and unreasonable results in the similarity measurement method of the normal cloud models. A bidirectional and weighted similarity measurement (BWSM) method is proposed by the number distribution and membership of cloud droplets on a norma…
Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit
Time granularity is a key parameter necessary for short-time passenger flow prediction of urban rail transit (URT); however, no universal method is available for its setting. This study investigates the time granularity setting principle for short-term passenger flow prediction in URT. First, a method to measure the autocorrelation of passenger flow time series is constructed, focusing on the comparison of time granularities. Second, based on the…
Few-Sample Generation of Amount in Figures for Financial Multi-Bill Scene Based on GAN
Recognition of amount in figures in the financial multi-bill scenes is crucial for the automatic banking business. However, the diversity of banking business and the limitation of customer data privacy determine that it is difficult to collect a large number of sample datasets. Aiming at the problem of insufficient training data in multi-bill scenes and the low accuracy of the detection model, this article proposes a new generative adversarial ne…
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Few-Sample Generation of Amount in Figures for Financial Multi-Bill Scene Based on GAN
Recognition of amount in figures in the financial multi-bill scenes is crucial for the automatic banking business. However, the diversity of banking business and the limitation of customer data privacy determine that it is difficult to collect a large number of sample datasets. Aiming at the problem of insufficient training data in multi-bill scenes and the low accuracy of the detection model, this article proposes a new generative adversarial ne…
Extraction of Emergency Elements and Business Process Model of Urban Rail Transit Plans
The emergency plan of the urban rail transit (URT) system is a guiding document for dealing with emergencies and formulating emergency plans. However, the emergency plan text described in natural language has some problems, such as poor visibility and enforceability. Effective help is difficult to provide for the rapid implementation of emergency response. Therefore, obtaining key emergency task information from the emergency response plan and vi…
A Similarity Measurement Method of Normal Cloud Models for the Operational Status Perception and Computing of Urban Rail Transit
The similarity measurement method is the key part of the normal cloud model as well as its applications. Too much attention has been paid on geometric and numerical features, leading to the weak interpretability and unreasonable results in the similarity measurement method of the normal cloud models. A bidirectional and weighted similarity measurement (BWSM) method is proposed by the number distribution and membership of cloud droplets on a norma…
Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit
Time granularity is a key parameter necessary for short-time passenger flow prediction of urban rail transit (URT); however, no universal method is available for its setting. This study investigates the time granularity setting principle for short-term passenger flow prediction in URT. First, a method to measure the autocorrelation of passenger flow time series is constructed, focusing on the comparison of time granularities. Second, based on the…
Adaptive Guidance in Dynamic Environments
In future battlefields, missiles are expected to become highly precise and efficient strike weapons, with missile intelligence emerging as a critical development trend. To address the problem of optimizing 3-D missile interception guidance laws, this article introduces the deep Q-network (DQN) algorithm on the foundation of proportional navigation guidance (PNG) and proposes an adaptive proportional guidance algorithm based on deep reinforcement …
Gt-Agcn
Computer Science (6 works) · Artificial Intelligence (4 works) · Engineering (4 works) · Traffic Prediction and Management Techniques (3 works) · Data mining (2 works) · Physics (2 works) · Transport engineering (2 works) · Transportation Planning and Optimization (2 works) · Urban rail transit (2 works) · Advanced Decision-Making Techniques (1 work)