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- 出生年：1981
- 教师拼音名称： SY
- 电子邮箱： 19ca848d85acb7f4d2351fbea7151448979e7b0ccc5ebf674b918a799ab61830104c10fc37b13d391c19d1a42c5ee64ce7a7d177cd5021ae25a9e7bc1b7ca628272ac67eee1c0f27e10aa6f3e4d667d9090b424d3cfd0b2a186fa275a6d2221093ac244158e0ddc45ad3c4697c0409eb092d100e9dbe301ca73cf81d5703cc00
- 所在单位： 人工智能学院（计算机科学与信息工程学院）
- 学历： 博士研究生毕业
- 办公地点： 慧智楼90803
- 性别： 男
- 学位： 工学博士学位
- 在职信息： 在岗
- 申渝,朱小刚,郭智威,余恪平,Osama Alfarraj,Victor Leung,Rodrigues Joel.A Deep-Learning-Based Data-Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems:IEEE Internet of Things Journal,2024(15)
- 申渝,廖万山,李慧敏,冯东,郭智威,张冰,高旭,王建辉,陈猷鹏.基于跨时间尺度迁移学习的污水处理模型漂移校正方法:环境科学,2024(1)
- .Graph embedding‐based intelligent industrial decision for complex sewage treatment processes:International Journal of Intelligent Systems,2022,37(12):10423-10441
- .Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network:Engineering Applications of Artificial Intelligence,2023,121:106002
- .An online intelligent management method for wastewater treatment supported by coupling data-driven and mechanism models:Journal of Water Process Engineering,53:103653
- .A Deep Learning-Based Data Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems.[Journal Article]:IEEE Internet of Things Journal,2024,11(15):25757-25770
- .An indoor blind area-oriented autonomous robotic path planning approach using deep reinforcement learning.[Journal Article]:Expert Systems with Applications,2024(254)
- .基于跨时间尺度迁移学习的污水处理模型漂移校正方法.[Journal Article]:环境科学,2024,46(1)
- .Industrial 6G-IoT and Machine-Learning-Supported Intelligent Sensing Framework for Indicator Control Strategy in Sewage Treatment Process.[Journal Article]:IEEE Internet of Things Journal,2024,11(18):29308 - 29320
- .Intelligent aeration amount prediction control for wastewater treatment process based on recurrent neural network.[Journal Article]:Journal of the Franklin Institute,2024
