计算机科学
Paper Review Records
全部论文审稿周期
18 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接
CL-EALTD: Environment-aware latent temporal-difference contrastive learning for process series anomaly detection
作者Yunpeng Guo; Jianqi An; Qifu Chen; Min Wu; Jinhua She
作者单位School of Artificial Intelligence and Automation, China University of Geosciences, Wuhan, 430074, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, 430074, China; Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, 430074, China; School of Future Technology, China University of Geosciences, Wuhan, 430074, China; School of Engineering, Tokyo University of Technology, Hachioji, Tokyo, 192-0982, Japan
MS2-DAMoE: Multiscale multi-source domain alignment with adaptive mixture-of-experts for industrial time-series prediction
作者Xue Xu; Kaifang Li; Yuanjian Fu; Chaomin Luo; Chengyi Xia
作者单位School of Artificial Intelligence, Tiangong University, Tianjin 300387, China; Tianjin Key Laboratory of Intelligent Control of Electrical Equipment, Tiangong University, Tianjin 300387, China; School of Control Science and Engineering, Tiangong University, Tianjin 300387, China; Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA
Neural-Network Assisted MPC for flow reactors including reactions
作者S. Knoll; K. Silber; A.C. Hone; C.O. Kappe; M. Steinberger; M. Horn
作者单位Institute of Automation and Control, Graz University of Technology, Inffeldgasse 21b, 8010 Graz, Austria; Center for Continuous Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE), Inffeldgasse 13, 8010 Graz, Austria; Institute of Chemistry, University of Graz, NAWI Graz, Heinrichstrasse 28, 8010 Graz, Austria
Few-shot class-incremental fault diagnosis via orthogonal prototypes and fuzzy uncertainty modeling
作者Bing Song; Yunpeng Li; Lijia Cao; Hongbo Shi; Yang Tao
作者单位Key Laboratory of Smart Manufacturing in Energy Chemical Process of the Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; Sichuan University of Science & Engineering, Sichuan 618500, China
Disturbance observer-based model-free adaptive iterative learning control for nonlinear batch processes with non-repetitive disturbance
作者Fei Shi; Hongfeng Tao; Zhihe Zhuang; Tao Liu; Wojciech Paszke
作者单位Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education, Jiangnan University, Wuxi, 214000, PR China; Institute of Advanced Measurement and Control Technology, Dalian University of Technology, Dalian, 116024, PR China; Institute of Automation, Electronic and Electrical Engineering, University of Zielona Gora, ul. Szafrana 2, 65-246 Zielona Gora, Poland
A multi-priority NMPC framework with adaptive convergence rate tuning strategy
作者Ruiyu Qiu; Yitao Yan; Zhijiang Shao; Jie Bao
作者单位College of Control Science and Engineering, Zhejiang University, Hangzhou, China; School of Chemical Engineering, The University of New South Wales, Sydney, Australia; Huzhou Institute of Industrial Control Technology, Huzhou, China
Sparse identification of physically plausible aggregation kernels for wet granulation processes
作者Stefan R. Tölle; Lorenz Dörschel; Stefan Klinken-Uth; Alana Delvos; Jörg Breitkreutz; Heike Vallery; Sebastian Stemmler
作者单位Institute of Automatic Control, RWTH Aachen University, Aachen, Germany; Institute of Pharmaceutics and Biopharmaceutics, Heinrich Heine University, Düsseldorf, Germany; Department of Biomechanical Engineering, Delft University of Technology, Delft, The Netherlands
Expert Matching · Case Demo
把投稿要求,转成可验证的期刊方案
说清专业、时限和作者背景,CrushSCI 结合真实审稿样本,给出拟题方向、期刊初筛与周期判断。