Multi-disciplinary Trends in Artificial Intelligence (eBook, PDF)
15th International Conference, MIWAI 2022, Virtual Event, November 17-19, 2022, Proceedings
Redaktion: Surinta, Olarik; Kam Fung Yuen, Kevin
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Multi-disciplinary Trends in Artificial Intelligence (eBook, PDF)
15th International Conference, MIWAI 2022, Virtual Event, November 17-19, 2022, Proceedings
Redaktion: Surinta, Olarik; Kam Fung Yuen, Kevin
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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.
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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.
The 14 full papers and 5 short papers presented were carefully reviewed and selected from 42 submissions.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Springer International Publishing
- Seitenzahl: 225
- Erscheinungstermin: 10. November 2022
- Englisch
- ISBN-13: 9783031209925
- Artikelnr.: 66389871
- Verlag: Springer International Publishing
- Seitenzahl: 225
- Erscheinungstermin: 10. November 2022
- Englisch
- ISBN-13: 9783031209925
- Artikelnr.: 66389871
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.- 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.
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.- 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.