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A Data-Driven Rutting Depth Short-Time Prediction Model With Metaheuristic Optimization for Asphalt Pavements Based on RIOHTrack 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 1918-1932
作者:  Zhuoxuan Li;  Iakov Korovin;  Xinli Shi;  Sergey Gorbachev;  Nadezhda Gorbacheva;  Wei Huang;  Jinde Cao
Adobe PDF(3879Kb)  |  收藏  |  浏览/下载：85/29  |  提交时间：2023/09/07
Extreme learning machine algorithm with residual correction (RELM), metaheuristic optimization  oil-gas transportation  RIOHTrack  rutting depth  
Rolling Shutter Camera: Modeling, Optimization and Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 783-798
作者:  Bin Fan;  Yuchao Dai;  Mingyi He
Adobe PDF(2943Kb)  |  收藏  |  浏览/下载：3/1  |  提交时间：2024/04/23
Rolling shutter, motion modeling, image correction, temporal super-resolution, deep learning  
Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 121-144
作者:  Guo-Yin Wang;  Dong-Dong Cheng;  De-You Xia;  Hai-Huan Jiang
Adobe PDF(2487Kb)  |  收藏  |  浏览/下载：4/2  |  提交时间：2024/04/23
Swarm intelligence  single-population  multi-population  human-machine hybrid  multi-granularity  
Time-varying effects of search engine advertising on sales-An empirical investigation in E-commerce 期刊论文
DECISION SUPPORT SYSTEMS, 2022, 卷号: 163, 页码: 15
作者:  Yang, Yanwu;  Zhao, Kang;  Zeng, Daniel Dajun;  Jansen, Bernard Jim
收藏  |  浏览/下载：188/0  |  提交时间：2022/11/21
Online advertising  Electronic commerce  Advertising analytics  Business intelligence  
Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022, 卷号: 45, 期号: 3, 页码: 3378-3395
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Stephen Maybank
Adobe PDF(3314Kb)  |  收藏  |  浏览/下载：129/36  |  提交时间：2023/04/24
Multi-Source Adaptive Selection and Fusion for Pedestrian Dead Reckoning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 12, 页码: 2174-2185
作者:  Yuanxun Zheng;  Qinghua Li;  Changhong Wang;  Xiaoguang Wang;  Lifeng Hu
Adobe PDF(7050Kb)  |  收藏  |  浏览/下载：141/51  |  提交时间：2022/12/02
Adaptive reliability evaluation  adaptive weight evaluation  Kalman filter (KF)  multi-source fusion  optimal set selection  
A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 11, 页码: 1952-1966
作者:  Meiji Cui;  Li Li;  MengChu Zhou;  Jiankai Li;  Abdullah Abusorrah;  Khaled Sedraoui
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：182/36  |  提交时间：2022/10/09
Autoencoder  dimension reduction  evolutionary algorithm  medium-scale expensive problems  teaching-learning-based optimization  
Decomposed Meta Batch Normalization for Fast Domain Adaptation in Face Recognition 期刊论文
IEEE Transactions on Information Forensics and Security, 2021, 卷号: 16, 期号: -, 页码: 3082-3095
作者:  Guo JZ(郭建珠);  Zhu XY(朱翔昱);  Lei Z(雷震);  Li ZQ(李子青)
Adobe PDF(4808Kb)  |  收藏  |  浏览/下载：193/38  |  提交时间：2021/05/31
Face recognition  unsupervised domain adaptation  meta-learning  batch normalization  
A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 303-318
作者:  Yicun Hua;  Qiqi Liu;  Kuangrong Hao;  Yaochu Jin
Adobe PDF(6590Kb)  |  收藏  |  浏览/下载：124/42  |  提交时间：2021/04/09
Evolutionary algorithm  machine learning  multi-objective optimization problems (MOPs)  irregular Pareto fronts  
Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1199-1209
作者:  Ziyan Zhao;  Shixin Liu;  MengChu Zhou;  Abdullah Abusorrah
Adobe PDF(2797Kb)  |  收藏  |  浏览/下载：150/37  |  提交时间：2021/06/11
Insertion-based local search  iterated greedy algorithm  machine learning, memetic algorithm  nondominated sorting genetic algorithm II (NSGA-II), production scheduling