A Stable Route and the Remaining Time Prediction to Send a Data Packet in Highway Environment

Advances in Intelligent Systems and Computing - Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) ◽

10.1007/978-3-319-52941-7_2 ◽

2017 ◽

pp. 11-20 ◽

Cited By ~ 2

Author(s):

Mohamed Nabil ◽

Abdelmajid Hajami ◽

Abdelkrim Haqiq

Keyword(s):

Data Packet ◽

Time Prediction ◽

Stable Route ◽

Remaining Time

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A Stable Route Prediction and the Decision Taking at Sending a Data Packet in a Highway Environment

Proceedings of the 2nd international Conference on Big Data, Cloud and Applications ◽

10.1145/3090354.3090422 ◽

2017 ◽

Cited By ~ 1

Author(s):

Mohamed Nabil ◽

Abdelmajid Hajami ◽

Abdelkrim Haqiq

Keyword(s):

Data Packet ◽

Route Prediction ◽

Decision Taking ◽

Stable Route

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Remaining time prediction for business processes with concurrency based on log representation

China Communications ◽

10.23919/jcc.2021.11.006 ◽

2021 ◽

Vol 18 (11) ◽

pp. 76-91

Author(s):

Rui Cao ◽

Weijian Ni ◽

Qingtian Zeng ◽

Faming Lu ◽

Cong Liu ◽

...

Keyword(s):

Business Processes ◽

Time Prediction ◽

Remaining Time

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A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences

Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) ◽

10.1137/1.9781611976700.59 ◽

2021 ◽

pp. 522-530

Author(s):

Farbod Taymouri ◽

Marcello La Rosa ◽

Sarah M. Erfani

Keyword(s):

Event Sequences ◽

Time Prediction ◽

Adversarial Model ◽

Remaining Time

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A Vector-Based Classification Approach for Remaining Time Prediction in Business Processes

IEEE Access ◽

10.1109/access.2019.2939631 ◽

2019 ◽

Vol 7 ◽

pp. 128198-128212 ◽

Cited By ~ 1

Author(s):

Ahmad Aburomman ◽

Manuel Lama ◽

Alberto Bugarin

Keyword(s):

Business Processes ◽

Classification Approach ◽

Time Prediction ◽

Remaining Time

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Predictive Business Process Monitoring – Remaining Time Prediction using Deep Neural Network with Entity Embedding

Procedia Computer Science ◽

10.1016/j.procs.2019.11.219 ◽

2019 ◽

Vol 161 ◽

pp. 1080-1088

Author(s):

Nur Ahmad Wahid ◽

Taufik Nur Adi ◽

Hyerim Bae ◽

Yulim Choi

Keyword(s):

Neural Network ◽

Process Monitoring ◽

Business Process ◽

Deep Neural Network ◽

Time Prediction ◽

Business Process Monitoring ◽

Remaining Time

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Identifying and Reducing Errors in Remaining Time Prediction due to Inter-Case Dynamics

2020 2nd International Conference on Process Mining (ICPM) ◽

10.1109/icpm49681.2020.00015 ◽

2020 ◽

Author(s):

Eva L. Klijn ◽

Dirk Fahland

Keyword(s):

Time Prediction ◽

Remaining Time

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LSTM networks for data-aware remaining time prediction of business process instances

2017 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2017.8285184 ◽

2017 ◽

Cited By ~ 16

Author(s):

Nicolo Navarin ◽

Beatrice Vincenzi ◽

Mirko Polato ◽

Alessandro Sperduti

Keyword(s):

Business Process ◽

Time Prediction ◽

Remaining Time

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An extended model for remaining time prediction in manufacturing systems using process mining

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2020.06.003 ◽

2020 ◽

Vol 56 ◽

pp. 188-201

Author(s):

Alexandre Checoli Choueiri ◽

Denise Maria Vecino Sato ◽

Edson Emilio Scalabrin ◽

Eduardo Alves Portela Santos

Keyword(s):

Manufacturing Systems ◽

Process Mining ◽

Extended Model ◽

Time Prediction ◽

Remaining Time

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Remaining Time Prediction of Business Processes based on Multilayer Machine Learning

2020 IEEE International Conference on Web Services (ICWS) ◽

10.1109/icws49710.2020.00080 ◽

2020 ◽

Author(s):

Xiaoxiao Sun ◽

Wenjie Hou ◽

Yuke Ying ◽

Dongjin Yu

Keyword(s):

Machine Learning ◽

Business Processes ◽

Time Prediction ◽

Remaining Time

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Interval-Based Remaining Time Prediction for Business Processes

10.1007/978-3-030-91431-8_3 ◽

2021 ◽

pp. 34-48

Author(s):

Chi Wang ◽

Jian Cao

Keyword(s):

Business Processes ◽

Time Prediction ◽

Remaining Time

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