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ORCID4th AI4I 2021: Laguna Hills, CA, USA
- 4th International Conference on Artificial Intelligence for Industries, AI4I 2021, Laguna Hills, CA, USA, September 20-22, 2021. IEEE 2021, ISBN 978-1-6654-3410-2
- Stephan Matzka, Johannes Pilz, Andreas Franke:
Structure-borne and Air-borne Sound Data for Condition Monitoring Applications. 1-4 - Christian Groth:
Enhancing Feature Selection in Single Shot Robot Learning by Using Multi-Modal Inputs. 5-9 - Benjamin Kaiser, Alexander Verl:
Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks. 10-15 - Rudri Mahesh Oza, Angelina Geisen, Taehyung Wang:
Traffic Sign Detection and Recognition using Deep Learning. 16-20 - Tunç Alkanat, Herman G. J. Groot, Matthijs H. Zwemer, Egor Bondarev, Peter H. N. de With:
Towards Scalable Abnormal Behavior Detection in Automated Surveillance. 21-24 - Christian Bitter
, Hasan Tercan, Tobias Meisen, Todd Bodnar, Philipp Meisen:
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. 25-29 - Louis B. Rosenberg, Gregg Willcox, Martti Palosuo, Ganesh Mani:
Forecasting of Volatile Assets using Artificial Swarm Intelligence. 30-33 - Sami Wood, Erin Lanus, Daniel D. Doyle, Jeremy Ogorzalek, Christopher T. Franck, Laura J. Freeman:
Developing Hierarchies for Image Classification Model Evaluation. 34-37 - Faisal N. Abu-Khzam, Joseph R. Barr, Amin Fakhereldine, Peter Shaw:
A Greedy Heuristic for Cluster Editing with Vertex Splitting. 38-41 - Fanghui Xue, Jack Xin:
Network Compression via Cooperative Architecture Search and Distillation. 42-43 - Justin Worsey, Ian Hindmarch, Simon Armour, David Bull:
A system to automatically classify LIDAR for use within RF propagation modelling. 44-47 - Maurizio De Micco, Diego Gragnaniello, Fabio Zonfrilli, Massimiliano Maria Villone, Giovanni Poggi, Luisa Verdoliva, Vincenzo Guida:
Deep learning-based non-intrusive detection of instabilities in formulated liquids. 48-51 - Hamidur Rahman, Mobyen Uddin Ahmed, Shahina Begum, Mats Fridberg, Adam Hoflin:
Deep Learning in Remote Sensing: An Application to Detect Snow and Water in Construction Sites. 52-56 - Akos Csiszar, Viktor Krimstein, Justus Bogner, Alexander Verl:
Generating Reinforcement Learning Environments for Industrial Communication Protocols. 57-60 - Nahed Abdelgaber, Chris Christos Nikolopoulos:
Calculating the Topological Resilience of Supply Chain Networks Using Quantum Hopfield Neural Networks. 61-62 - Keisuke Tsunoda, Midori Kodama, Naoki Arai, Souraro Maejima, Kazuaki Obana:
Estimating Multi-point Indoor Temperature from Different Season Data based on Correlation-based Two-Step Learning. 63-68 - Sotaro Maejima, Keisuke Tsunoda, Midori Kodama, Naoki Arai, Kazuaki Obana:
Prediction of Unsteady Indoor-Temperature with Few Pattern Data Learning and Prediction Model Selection Based on Feature Contribution. 69-74 - Yukari Shirota, Mima Fujimaki, Emi Tsujiura, Michiya Morita, Jose Antonio Domínguez Machuca:
A SHAP Value-Based Approach to Stock Price Evaluation of Manufacturing Companies. 75-78 - Ching-Lung Su, Wen-Cheng Lai, Jun-Yun Wu, Pin-Yi Wang:
Design and Implementation of Edge Computing for Detection on Embedded Electromobility. 79-80 - Sharmin Sultana Sheuly, Mobyen Uddin Ahmed, Shahina Begum, Michael Osbakk:
Explainable Machine Learning to Improve Assembly Line Automation. 81-85 - Andrea Torcianti, Stephan Matzka:
Explainable Artificial Intelligence for Predictive Maintenance Applications using a Local Surrogate Model. 86-88 - James Obert, Tim Loffredo:
Efficient Binary Static Code Data Flow Analysis Using Unsupervised Learning. 89-90 - Belfrit Victor Batlajery:
Modeling and generating marketplace activities with PROV-DM. 91-94
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