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Multi-disciplinary Trends in Artificial Intelligence

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Cover of 'Multi-disciplinary Trends in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Computing Nash Equilibrium of Crops in Real World Agriculture Domain
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    Chapter 2 Evolutionary Feature Weighting Optimization and Majority Voting Ensemble Learning for Curriculum Recommendation in the Higher Education
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    Chapter 3 Fuzzy Soft Relations-Based Rough Soft Sets Classified by Overlaps of Successor Classes with Measurement Issues
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    Chapter 4 Helmet Detection System for Motorcycle Riders with Explainable Artificial Intelligence Using Convolutional Neural Network and Grad-CAM
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    Chapter 5 Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks
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    Chapter 6 Improving Predictive Model to Prevent Students’ Dropout in Higher Education Using Majority Voting and Data Mining Techniques
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    Chapter 7 LCIM: Mining Low Cost High Utility Itemsets
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    Chapter 8 MaxFEM: Mining Maximal Frequent Episodes in Complex Event Sequences
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    Chapter 9 Method for Image-Based Preliminary Assessment of Car Park for the Disabled and the Elderly Using Convolutional Neural Networks and Transfer Learning
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    Chapter 10 Multi-resolution CNN for Lower Limb Movement Recognition Based on Wearable Sensors
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    Chapter 11 News Feed: A Multiagent-Based Push Notification System
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    Chapter 12 Optimizing the Social Force Model Using New Hybrid WOABAT-IFDO in Crowd Evacuation in Panic Situation
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    Chapter 13 Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors
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    Chapter 14 Sentence-Level Sentiment Analysis for Student Feedback Relevant to Teaching Process Assessment
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    Chapter 15 Sentiment Analysis of Local Tourism in Thailand from YouTube Comments Using BiLSTM
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    Chapter 16 Stable Coalitions of Buyers in Real World Agriculture Domain
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    Chapter 17 The Analysis of Explainable AI via Notion of Congruence
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    Chapter 18 Using Ensemble Machine Learning Methods to Forecast Particulate Matter (PM 2.5 ) in Bangkok, Thailand
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    Chapter 19 Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network
Attention for Chapter 9: Method for Image-Based Preliminary Assessment of Car Park for the Disabled and the Elderly Using Convolutional Neural Networks and Transfer Learning
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Chapter title
Method for Image-Based Preliminary Assessment of Car Park for the Disabled and the Elderly Using Convolutional Neural Networks and Transfer Learning
Chapter number 9
Book title
Multi-disciplinary Trends in Artificial Intelligence
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-031-20992-5_9
Book ISBNs
978-3-03-120991-8, 978-3-03-120992-5
Authors

Hanpinitsak, Panawit, Posawang, Pitiphum, Phankaweerat, Sumate, Pattara-atikom, Wasan

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