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Multi-disciplinary Trends in Artificial Intelligence : 15th International Conference, MIWAI 2022, Virtual Event, November 17-19, 2022, Proceedings / edited by Olarik Surinta, Kevin Kam Fung Yuen.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 13651
- Lecture Notes in Artificial Intelligence, 2945-9141 ; 13651
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Education-Data processing.
- Computer engineering.
- Computer networks.
- Social sciences-Data processing.
- Artificial Intelligence.
- Computers and Education.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Local Subjects:
- Artificial Intelligence.
- Computers and Education.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Physical Description:
- 1 online resource (XII, 225 pages) : 68 illustrations, 41 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 15th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2022, held online on November 17-19, 2022. The 14 full papers and 5 short papers presented were carefully reviewed and selected from 42 submissions. .
- Contents:
- Computing Nash Equilibrium among Crops in Real World Agriculture Domain
- Evolutionary Feature Weighting Optimization and Majority Voting Ensemble Learning for Curriculum Recommendation in the Higher Education
- Fuzzy Soft Relations-Based Rough Soft Sets Classified by Overlaps of Successor Classes with Measurement Issues
- Helmet Detection System for Motorcycle Riders with Explainable Artificial Intelligence Using Convolutional Neural Network and Grad-CAM
- Hierarchical Human Activity Recognition based on Smartwatch Sensors using Branch Convolutional Neural Networks
- Improving Predictive Model to Prevent Students' Dropout in Higher Education Using Majority Voting and Data Mining Techniques
- LCIM: Mining Low Cost High Utility Itemsets
- MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences
- Method for Image-based Preliminary Assessment of Car Park for the Disabled and the Elderly using Convolutional Neural Networks and Transfer Learning
- Multi-resolution CNN for Lower Limb Movement Recognition based on Wearable Sensors
- News Feed: A Multiagent-based Push Notification System
- Recognizing Driver Activities using Deep Learning Approaches based on Smartphone Sensors
- Sentence-Level Sentiment Analysis for Student Feedback Relevant to Teaching Process Assessment
- Sentiment Analysis of Local Tourism in Thailand from YouTube Comments by using BiLSTM
- Stable Coalitions of Buyers in Real World Agriculture Domain
- The Analysis of Explainable AI via Notion of Congruence
- Using Ensemble Machine Learning Methods to Forecast Particulate Matter (PM2.5) in Bangkok, Thailand
- Wearable Fall Detection Based on Motion Signals using Hybrid Deep Residual Neural Network.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-20992-5
- 9783031209925
- Access Restriction:
- Restricted for use by site license.
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