Cantitate/Preț
Produs
Total produse
Vezi coșul
Multi-disciplinary Trends in Artificial Intelligence: 15th International Conference, MIWAI 2022, Virtual Event, November 17–19, 2022, Proceedings de Olarik Surinta

Multi-disciplinary Trends in Artificial Intelligence: 15th International Conference, MIWAI 2022, Virtual Event, November 17–19, 2022, Proceedings: Lecture Notes in Computer Science, cartea 13651

Editat de Olarik Surinta, Kevin Kam Fung Yuen
en Limba Engleză Paperback – 11 noi 2022
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. 

Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 40659 lei

Preț vechi: 50824 lei
-20% Nou

Puncte Express: 610
Preț estimativ în valută:
7781€ • 8185$ • 6442£

Carte tipărită la comandă

Livrare economică 15-29 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031209918
ISBN-10: 3031209915
Pagini: 225
Ilustrații: XII, 225 p. 68 illus., 41 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.34 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Cham, Switzerland

Cuprins

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.