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ORCIDMLIS 2022: Virtual Event, Korea
- Kim Jon-Lark:
Machine Learning and Artificial Intelligence - Proceedings of MLIS 2022, Virtual Event, Korea, 8-11 November 2022. Frontiers in Artificial Intelligence and Applications 360, IOS Press 2022, ISBN 978-1-64368-356-0
Research Article
- Rex Perez Bringula, Ma. Teresa Borebor, Ma. Ymelda C. Batalla:
Attitudes Towards Online Learning During COVID-19: A Cluster and Sentiment Analyses. 1-8 - Waralak V. Siricharoen:
Factors Influencing the Animation Infographic and Augmented Reality Technique in Healthcare Promotion Communication for the Elderly in Thailand. 9-16 - Ruimin Ma
, Yuyi Zhang, Jing Liu, Yin Li, Ovanes L. Petrosian, Kirill Krinkin:
Forecasting and XAI for Applications Usage in OS. 17-27 - Sergey I. Uvarov:
Empirical Evaluation of the Asymptotic Behavior of the Analysis Complexity of Hard Random 3-CNF Formulas. 28-34 - Amira Mohamed, Hatem Ibrahem, Jung-Hyun Lee, Kibum Kim:
Machine Learning-Based Current Density Simulation for Direct Borohydride Fuel Cell. 35-40 - Manuela Freire, Francisco Antunes, João Paulo Costa:
Applying Social Network Analysis and Data Mining Techniques to Support Decision-Making: A Case Study. 41-48 - Hatem Ibrahem, Ahmed Salem, Hyun Soo Kang:
SD-Depth: Light-Weight Monocular Depth Estimation Using Space Depth CNN for Real-Time Applications. 49-55 - Yangde Gao, Farzin Piltan, Zahoor Ahmad, Rafia Nishat Toma, Jong-Myon Kim:
A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings. 56-63 - Rafia Nishat Toma, Yangde Gao, Jong-Myon Kim:
Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network. 64-71 - Ratapong Onjun, Kittikorn Sriwichai, Narongdech Dungkratoke, Sayan Kaennakham:
Wavelet Pooling Scheme in the Convolution Neural Network (CNN) for Breast Cancer Detection. 72-77 - Pornthip Pongchalee, Pirapong Inthapong, Krittidej Chanthawara, Pichapop Paewpolsong, Sayan Kaennakham:
Generalized Multiquadric Neural Networks in Image Reconstruction. 78-83 - Pichapop Paewpolsong, Krittidej Chanthawara, Narongdech Dungkratoke, Sayan Kaennakham:
Numerical Investigation on Three Local-Adaptive k-Point Multiquadric Neural Networks. 84-90 - Liang-Sian Lin, Li-Wei Jiang, Yu Wang, Zhi-Yu Chen, Yi-Jie Li:
IoT-Based Driver Distraction Prevention System. 91-98 - Yuto Maejima, Hayato Horanai, Liya Ding:
An Intelligent System for Safe and Satisfactory Individual Travel Tours in Tokyo. 99-104 - Kittikorn Sriwichai, Ratapong Onjun, Chantana Simtrakankul, Sayan Kaennakham:
On the Wavelet Convolution Neural Network for Breast Cancer Image Analysis. 105-110 - Hayato Horanai, Yuto Maejima, Liya Ding:
An Education Tool That Supports Junior Learners in Studying Machine Learning. 111-116 - Shugo Yoshida, Liya Ding, Kosuke Noborio, Kazuki Shibuya:
Frost Forecasting System with Multiple Models of Machine Learning. 117-122 - Liang-Sian Lin, Zhi-Yu Chen, Yu Wang, Li-Wei Jiang:
Improving Anomaly Detection in IoT-Based Solar Energy System Using SMOTE-PSO and SVM Model. 123-131 - Ankhzaya Jamsrandorj, Vanyi Chao, Yin May Oo, Kyung-Ryoul Mun, Jinwook Kim:
Ball Position Feature Embedded Group Activity Recognition Model for Team Sport Games. 132-139 - Victor Alves, José Miranda, Hossam Dawa, Filipe Fernandes, Fernanda Pombal, Jorge Ribeiro, Florentino Fdez-Riverola, Cesar Analide, Henrique Vicente, José Neves:
An Entropic Approach to Technology Enable Learning and Social Computing. 140-153
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