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ORCID5th AI4I 2022: Laguna Hills, CA, USA
- 5th International Conference on Artificial Intelligence for Industries, AI4I 2022, Laguna Hills, CA, USA, September 19-21, 2022. IEEE 2022, ISBN 978-1-6654-5961-7
- Alberto C. Cruz, Stephanie Magana, Davide Greco
, Luigi De Bellis, Andrea Luvisi:
Detection of Almond Leaf Scorch with Artificial Intelligence for the Agriculture Industry. 1-4 - Kévin Cédric Guyard, Michel Deriaz:
A scalable recommendation system approach for a companies - seniors matching. 5-9 - Mouzhi Ge, Giovanni Pilato, Fabio Persia, Daniela D'Auria:
New Perspectives on Recommender Systems for Industries. 10-13 - Maximilian Kertel, Stefan Harmeling, Markus Pauly:
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models. 14-19 - Medard Edmund Mswahili, Junha Hwang, Young-Seob Jeong, YoungJin Kim:
Graph Neural Network Models for Chemical Compound Activeness Prediction For COVID-19 Drugs Discovery using Lipinski's Descriptors. 20-21 - Tim Schopf, Kilian Dresse, Florian Matthes:
Towards AI Platforms for Stationary Retail. 22 - Abu Anas Ibn Samad, Towneda Akhter Prema:
Recurrence sorting method for improved accuracy of unconstrained fast-moving vehicle license plate recognition system. 23-26 - Masayuki Yamazaki, Kei Tsuji, Eigo Mori:
Real Time Analysis on Bus Passenger for Unmanned Door Operation using Overhead Fisheye Cameras. 27-30 - Zhijian Li, Jack Xin:
Channel Pruning in Quantization-aware Training: an Adaptive Projection-gradient Descent-shrinkage-splitting Method. 31-34 - Carson Hu, Guang Lin, Bao Wang, Meng Yue, Jack Xin:
Post-Fault Power Grid Voltage Prediction via 1D-CNN with Spatial Coupling. 35-37 - Mehdi Dadfarnia, Michael Sharp:
Key Elements to Contextualize AI-Driven Condition Monitoring Systems towards Their Risk-Based Evaluation. 38-41 - Bastian Scharnagl, Christian Groth:
Evaluation of different deep learning approaches for EEG classification. 42-47 - Simon Hadwiger, Tobias Meisen:
Autonomous Load Carrier Approaching Based on Deep Reinforcement Learning with Compressed Visual Information. 48-53 - Young-Seob Jeong, EunJin Kim, Junha Hwang, Medard E. Mswahili, YoungJin Kim:
Language Model for Statistics Domain. 54 - James Obert, Rodrigo D. Trevizan, Adrian R. Chavez:
Efficient DER Voltage Control Using Ensemble Deep Reinforcement Learning. 55-58 - Ziang Long, Yunling Zheng, Meng Yu, Jack Xin:
Enhancing Zero-Shot Many to Many Voice Conversion via Self-Attention VAE with Structurally Regularized Layers. 59-63 - Florian Jaensch, Lars Klingel, Alexander Verl:
Virtual Commissioning Simulation as OpenAI Gym - A Reinforcement Learning Environment for Control Systems. 64-67 - Raphael Wallsberger, Tim Dieter Eberhardt, Paul-Albert Bartlau, Maurice Lucas Dörnte, Tim Lukas Schröter, Stephan Matzka:
Explainable Artificial Intelligence for a high dimensional condition monitoring application using the SHAP Method. 68-72 - Richard C. Yarnell, Daniel Brignac, Yanjie Fu, Ronald F. DeMara:
Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets. 73 - Ganesh Mani, Jim Bologna, Phillip C.-Y. Sheu:
AI and K-12 Forum. 74-75
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