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36th IEA/AIE 2023: Shanghai, China - Part II
- Hamido Fujita, Yinglin Wang, Yanghua Xiao, Ali Moonis:
Advances and Trends in Artificial Intelligence. Theory and Applications - 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, Shanghai, China, July 19-22, 2023, Proceedings, Part II. Lecture Notes in Computer Science 13926, Springer 2023, ISBN 978-3-031-36821-9
Industrial Applications
- Sohaila Eltanbouly, Abdelkarim Erradi, Ashraf Tantawy, Ahmed Ben Said, Khaled B. Shaban, Hazim Qiblawey:
LIME: Long-Term Forecasting Model for Desalination Membrane Fouling to Estimate the Remaining Useful Life of Membrane. 3-14 - Marco Wrzalik, Julian Eversheim, Johannes Villmow, Adrian Ulges, Dirk Krechel, Sven Spieckermann, Robert Forstner:
Value Stream Repair Using Graph Structure Learning. 15-32 - Franz Wotawa:
Which Components to Blame? Integrating Diagnosis into Monitoring of Technical Systems. 33-44 - Joel Mba Kouhoue, Jerry Lonlac, Alexis Lesage, Arnaud Doniec, Stéphane Lecoeuche:
A Comprehensive Analysis on Associative Classification in Building Maintenance Datasets. 45-58 - Mohammad Kaosain Akbar, Manar Amayri, Nizar Bouguila:
Deep Learning Based Solution for Appliance Operational State Detection and Power Estimation in Non-intrusive Load Monitoring. 59-65 - Wajhee Ullah, Zheying Zhang, Kostas Stefanidis:
Sentiment Analysis of Mobile Apps Using BERT. 66-78 - Solomon Oluwole Akinola, Qing-Guo Wang, Peter O. Olukanmi, Tshilidzi Marwala:
Heterogeneous Ensemble for Classifying Electrical Load Reduction in South Africa. 79-89
Natural Language Processing
- Bishal Debb Pande, Aman Shakya, Sanjeeb Prasad Panday, Basanta Joshi:
Named Entity Recognition for Nepali Using BERT Based Models. 93-104 - Xin Huang, Huilin Song, Mingming Lu:
Role Understanding for Spoken Dialogue System Based on Relevance Ranking. 105-116 - Xin Huang, Huilin Song, Mingming Lu:
Intent Understanding for Automatic Question Answering in Network Technology Communities Based on Multi-task Learning. 117-129 - Tiezheng Mao, Jialing Fu, Osamu Yoshie, Yimin Fu, Zhuyun Li:
Matching Intentions for Discourse Parsing in Multi-party Dialogues. 130-140 - Saeed Rahimi Gorji, Ole-Christoffer Granmo, Morten Goodwin:
Natural Language Modeling with the Tsetlin Machine. 141-150
Optimization
- Xin Xu:
Path Inference Based on Voronoi Graph. 153-158 - Zaichang Hai, Xingye Dong:
Study on Branch-and-Price for Solving Single-Machine Total Weight Tardiness Scheduling Problem. 159-170 - Chen Zhang, Haotian Li, Yifei Yang, Baohang Zhang, Huisheng Zhu, Shangce Gao:
Improved Differential Evolutionary Algorithm Based on Adaptive Scaling Factor. 171-176 - Nguyen Thai-Nghe, Nguyen Thi Kim Xuyen, An Cong Tran, Tran Thanh Dien:
Dealing with New User Problem Using Content-Based Deep Matrix Factorization. 177-188 - Kai Hong, Junjie Zhong, Linqi Chen, Chengguang Wang, Lei Wang:
Scheduling Algorithm Based on Load-Aware Queue Partitioning in Heterogeneous Multi-core Systems. 189-200 - Zijun Liao, Jinbiao Chen, Zizhen Zhang:
Solving Job-Shop Scheduling Problem via Deep Reinforcement Learning with Attention Model. 201-212
Prediction
- Yuan Li, Jingwei Li, Chengbao Liu, Jie Tan:
Time Series Forecasting Model Based on Domain Adaptation and Shared Attention. 215-225 - Cheng-Qin Zhang, Weijian Ni:
TSPRocket: A Fast and Efficient Method for Predicting Astronomical Seeing. 226-238 - Youwu Liu, Zijiang Yang:
Return Forecasting for Cryptocurrency Using Labeled Sequences and Reinforced Seq2Class Model. 239-246
Reinforcement Learning
- Olivier Moulin, Vincent François-Lavet, Paul W. G. Elbers, Mark Hoogendoorn:
Improving Generalization in Reinforcement Learning Through Forked Agents. 249-260 - Jinxin Zhan, Xiaodong Yue, Zihao Li, Kai Han:
Accelerating Deep Reinforcement Learning with Fuzzy Logic Rules. 261-272 - Fengwei Liu, Te Ye, Zizhen Zhang:
Dynamic Attention Model - A Deep Reinforcement Learning Approach for Container Relocation Problem. 273-285 - Kai Han, Xiaodong Yue, Wei Liu, Jinxin Zhan:
Deep Determinantal Q-Learning with Role Aware. 286-297
Security
- Jayanthi Ramamoorthy, Damilola Oladimeji, Laura Garland, Qingzhong Liu:
Detection and Classification of Web Application Attacks. 301-312 - Smruti P. Dash, Kedar V. Khandeparkar:
A False Data Injection Attack on Data-Driven Strategies in Smart Grid Using GAN. 313-324 - Razaq Jinad, Khushi Gupta, Chukwuemeka Ihekweazu, Qingzhong Liu, Bing Zhou:
Detecting Web-Based Attacks: A Comparative Analysis of Machine Learning and BERT Transformer Approaches. 325-332 - Huajuan Ren, Ruimin Wang, Weiyu Dong, Junhao Li, Yonghe Tang:
Dynamic Resampling Based Boosting Random Forest for Network Anomaly Traffic Detection. 333-344
Various Applications
- Chen Chen, Quan Shi:
A Data Propagation Method of Internet of Vehicles Based on Sharding Blockchain. 347-359 - Minh-Anh Ton-Thien, Chuong Thi Nguyen, Quang M. Le, Dat Q. Duong, Minh-Son Dao, Binh T. Nguyen:
Air Pollution Forecasting Using Multimodal Data. 360-371 - Yinxin Bao, Quan Shi:
Adjacent-DBSCAN Enhanced Time-Varying Multi-graph Convolution Network for Traffic Flow Prediction. 372-384 - Md. Mostafizer Rahman, Yutaka Watanobe, Mohamed Hamada:
A Survey on Automated Code Evaluation Systems and Their Resources for Code Analysis. 385-396 - Suphachok Buaruk, Chayud Srisumarnk, Sivakorn Seinglek, Warisa Thaweekul, Somrudee Deepaisarn:
Respiratory Disease Classification Using Chest Movement Patterns Measured by Non-contact Sensor. 397-409
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